Next Article in Journal
Evolution Process of Ancient Landslide Reactivation under the Action of Rainfall: Insights from Model Tests
Next Article in Special Issue
Geospatial Approaches to Improve Water Availability through Demand Assessment in Agriculture Based on Treated Wastewater: A Case Study of Weinstadt, Baden-Württemberg
Previous Article in Journal
Stability Assessment of Tunnels Excavated in Loess with the Presence of Groundwater—A Case Study
Previous Article in Special Issue
Reuse of Treated Wastewater for Crop Irrigation: Water Suitability, Fertilization Potential, and Impact on Selected Soil Physicochemical Properties
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

From District to City Scale: The Potential of Water-Sensitive Urban Design (WSUD)

Technical University of Darmstadt, Faculty of Architecture, Urban Design and Development, 64287 Darmstadt, Germany
*
Author to whom correspondence should be addressed.
Water 2024, 16(4), 582; https://doi.org/10.3390/w16040582
Submission received: 18 December 2023 / Revised: 7 February 2024 / Accepted: 13 February 2024 / Published: 16 February 2024

Abstract

:
The summer of 2022 was one of the hottest and driest summers that Germany experienced in the 21st century. Water levels in rivers sank dramatically with many dams and reservoirs running dry; as a result, fields could not be irrigated sufficiently, and even power generation and supply were affected. The impact of abnormally high temperatures for extended periods (heatwaves) is not restricted to nature and the economy but is also a considerable public health burden. Experts worldwide agree that these extreme weather events are being driven by climate change and will increase in intensity and frequency in the future. The adverse impact of these extreme weather events multiplies among dense urban environments, e.g., through heat islands. This calls for cities to take action to heat-proof and water-secure their urban developments. Water-Sensitive Urban Design (WSUD) is one such approach to mitigate the aforementioned challenges by leveraging the urban water ecosystem with special attention to the subject of water reclamation, retention, treatment and distribution. This paper introduces and builds upon a prototype of WSUD that centers around an artificial lake as an integrated water resource management system (IWRMS) fed by treated grey water and storm water obtained from two housing blocks flanking the water reservoir. Based on the specifications of this prototype, indicators of site suitability are derived and applied to identify potential locations for replicable projects in the city of Darmstadt. The results confirm the impact WSUD can have: a total of 22 sites with 2527 apartments are found suitable for prototype implementation in Darmstadt. Savings in town water consumption from these 22 sites would add up to 147 million liters. Further benefits include the provision of 24 million liters of irrigation water, storm water retention, adiabatic cooling during heatwave, increased biodiversity and the improvement in livability of the sites and the city.

1. Introduction

Climate change is considered as one of the greatest challenges of the 21st century [1]. Weather conditions in Europe, the United States of America and Asia have increasingly become unusual with both frequency and intensity of heatwaves, droughts and flash floods on the rise [2,3,4]. These extreme weather conditions have impacted agricultural production, irrigation, energy generation and led to a water supply crisis for cities. This is adversely affecting and even endangering human life. Based on data from the German federal office for statistics during summer months of June to August in 2022, which were characterized by record heat, the number of deaths was significantly higher than the median values from 2018 to 2021 by 9% to 13%. The number of deaths were particularly high in calendar week 29 (18–24 July 2022) at 25%, which was an exceptionally hot week [5]. It is not only extreme heat; even torrential rain and severe flooding are exacting a toll on human life. For instance, the severe flooding catastrophe in the Ahrtal region of Germany in 2021 resulted in devastating damage to houses and infrastructure with a loss of 133 lives [6]. The latest report from The Intergovernmental Panel on Climate Change (IPCC) states that these adverse conditions are not a temporary phenomenon, but the intensity and frequency will increase with “high confidence” [7] (p. 43) in the coming centuries. The 2015 Paris Agreement signed by 196 parties at the 21st UN Climate Change Conference acknowledges that “climate change is a common concern of humankind” [8] (p. 2) and the need for action to limit the increase in global temperature to 1.5 °C. Measures to achieve this objective are directed toward the reduction in greenhouse gas emissions, which are the driving force behind climate change [8] (p. 4). But as recent events show and the IPCC report predicts, climate change is already taking its toll on human life. This calls for tailored ad hoc to medium-term measures to reduce the immediate impact of climate-change-related shocks and stress. The urban settings of cities are more exposed [9] to extremes that culminate in “heat, flooding, water scarcity and droughts” [10] (p. 18). This is due to the dense built environment that characterizes cities and is known to exacerbate the prevailing adverse conditions induced by climate change. The city microclimate, for example, is more prone to heat waves because of the Urban Heat Island (UHI) effect [11]. Studies have also shown that the UHI effect can induce heavy rainfall events [12]. These can subsequently lead to flooding because the sealed (concretized) surfaces lead to heavy runoff, creating a storm water overload that regularly overwhelms the city drainage systems. Droughts also exacerbate the flooding as they damage the urban greenery and dry out the ground, reducing its natural ability to soak in storm water, which adds to heavy runoff when rainfall eventually does set in. In light of these challenges, state agencies have begun to promote climate change mitigation and adaption, e.g., through heat action plans or directives. These include measures referring to the transformation of the built environment such as “conserve and create shaded green spaces and parks, preferably with cooling evaporation areas such as bodies of water […], reduce heat by creating or keeping clear air channels […] or reduce degree of soil sealing in open and public squares […]” [13] (p. 23). Others aim for the protection of vulnerable population groups [13] or water saving incentives [14]. Cities in particular need to take action, a fact which is stressed by studies on urban water scarcity and security [15,16]. After all, an estimated 60% of the world’s population will be living in urban environments by 2030 [17] and 80% of Europeans by 2050 [10].
One of the possible adaptation measures that urban settlements can apply is Water-Sensitive Urban Design (WSUD) which incorporates a number of the aspects outlined in the German state heat action plan referenced above [13]. The concept of WSUD originated in the 1990s in Australia [18] and Australian government agencies defined it as “an approach to urban planning and design that aims to integrate the management of the urban water cycle into the urban development process” [19] (p. 1). This paper refers to WSUD as a design principle that, in its essence, reconsiders the management of urban water streams such as storm water (precipitation induced runoff), town water (from tap), greywater (from sinks, showers, bathtubs and laundry) and black water (from toilettes or urinals) and intends to integrate these in landscape, building and infrastructure design by means like “reducing potable water demand, minimizing wastewater generation, optimizing the use of water sources” or “promoting a significant degree of water related self-sufficiency” [20] (p. 1). WSUD represents a mitigative measure in the adaptation process of urban environments toward climate change. This is underlined by a report of the European Environment Agency entitled Urban adaptation in Europe: how cities and towns respond to climate change [21].
In this paper, a prototype of WSUD is introduced that includes a grey-to-service water treatment, storm water catchment and an artificial lake as a reservoir and central element of landscape design of a residential housing development. Building upon the specifications of this WSUD prototype and investigating the case of the city of Darmstadt, the research in this paper is directed toward the following key questions:
  • What indicators describe the suitability of a city site for application of a replicable WSUD?
  • How many potential sites for the application of WSUD exist in the city of Darmstadt?
  • What impact on the city water cycle of Darmstadt would the application of all WSUD have?
  • What relevance would this application have in regard to climate change adaptation?
By addressing these questions, this study conducts a multi-scale assessment method based on a district-scale prototype that is multiplied on a city scale. In consideration of the fact that the IWRMS design of the WSUD prototype is one-of-a-kind in Germany and that this study uses real-world as opposed to simulated data, it contributes to filling a gap in research: the quantification of town water savings through district-based WSUD on a city scale.
In the following section on Materials and Methods, the principles of WSUD are outlined, followed by a detailed description of how they are integrated in the WSUD prototype. Next, the city of Darmstadt is introduced. Federal, state and city assessments on climate change are presented in order to evaluate to what extent Darmstadt is already affected by climate change and what climate projections indicate for the future. The last section names the indicators that are derived from the WSUD prototype in order to assess potential WSUD sites. Based on the number of possible WSUD sites in Darmstadt, a grand total of reclaimed and retained water is calculated in order to estimate the overall impact that citywide application could have on the city water cycle.

2. Materials and Methods

2.1. Water-Sensitive Urban Design

There are multiple definitions for WSUD, but for this paper, it is defined as a design principle that in its essence reconsiders the management of urban water streams such as storm water, town water, grey water and black water and intends to integrate these in landscape, building and infrastructure design. In Germany, WSUD projects referring to the aforementioned definition are rarely found. However, it is worth noting that other design approaches, labeled as “Decentralization” or “Sponge City”, can be found in Germany, which are similar to WSUD in objective but differ in scale, design and realization. “Decentralization” or “Sponge City” usually focus on flood protection in the scope of localized storm water management that is mostly designed and realized by engineers and hydrologists with no or little contribution from architects and landscape designers. In the authors’ understanding, this is a significant difference and qualifies WSUD as a relatively young new discipline that bridges the gap between urban design and urban water management for building urban climate resilience.

2.2. The WSUD Prototype

A WSUD project, which was designed based on an interdisciplinary understanding and the principles of WSUD [22,23,24], is under construction in the city of Mannheim at the time of the writing of this paper and expected to be finished by 2024. The project contains 74 residential units distributed in two multi-story family houses and offers a variety of different apartment types from 1.5 to 4.5 rooms with a total living space of 5888 m2. The two buildings are arranged in such a way that they form a courtyard with a naturally designed but technically controlled waterbody referred to as the WSUD lake from here onwards (Figure 1). The WSUD lake is a technical water reservoir fed by local storm water and surplus service water reclaimed from greywater from the apartments. It is designed to hold 120 m3 of water on average under normal operating conditions. It also has a provision for extension which enables the holding of an additional 50 m3 of water, which corresponds to a 100-year storm event. In order to allow unlimited access to the lakefront and to prevent any form of fencing, the level of the lake is limited to a depth of 0.4 m. The WSUD lake maintains a steady water level as it receives 100% of the storm water which is collected from the roofs and the façade of the development and the surplus of an integrated grey-to-service water system of the apartments. Though it is strongly dependent on the season, the storm water inflow accounts for between 60% and 90% of the overall reservoir capacity while service water accounts for the remaining 10% to 40% under normal operation conditions. The grey-to-service water system in the households is designed to collect grey water from showers, sinks and laundry. The grey water is then processed with the help of contemporary water reclamation technology such as ultrafiltration membrane to remove contaminants. This is followed by ultraviolet light exposure (UV) for disinfection, before the majority of it is pumped back to the apartments as service water, while the surplus of service water is spilled in the WSUD lake (Figure 2).
In order to maintain a steady current and to avoid stagnated areas, the WSUD lake is designed in a length to width ratio of 1:7 as a result of specific flow simulations. This also refers to assessments in the field of environmental engineering, in particular, lake management [25]. Furthermore, the lake water is constantly pumped through a sand filter for treatment purposes. The WSUD lake is used for the irrigation of the surrounding green areas between March and October—the extended summer season. The regular capacity is sufficient to meet the irrigation requirements of the development during the normal dry season, i.e., without any storm water inflow into the WSUD lake. In case of extreme weather events (heat wave or drought) the regular irrigation can be continued until the water level reaches a critical minimum of 25%, after which irrigation needs to be stopped to protect the ecosystem of the WSUD lake. In this situation, the critical minimum of 25% water level of the WSUD lake is maintained by the daily inflow of the surplus of service water which is determined to be sufficient to overcome evaporative losses. In the case of an extreme rain event, the lake extension is activated to hold an additional 50 m3. Water held in the lake extension is designed to be slowly released through infiltration trenches without triggering flooding. This additional water is not retained for the rest of the year for irrigation or reuse purposes.
WSUD by closing the water cycle at the decentralized scale can lead to a significant reduction in town water supply. An estimated reduction of up to 40% can be achieved per household. WSUD also eliminates the burden of irrigating common greens within the development with town water, which is estimated to further lower town water demand from the site by 20%. The estimated payback period for the initial investment in WSUD is about 25 years based on the savings in town water consumption and wastewater fee payments. While the decentralized water management technology itself is not new [26,27,28,29,30], the WSUD prototype stands out by combining treated grey water, i.e., service water and storm water, in the WSUD lake. This approach distinguishes it from other notable WSUD projects in Germany such as the “Hamburg WATER CYCLE” [31] or the “BUGA Heilbronn” [32]. In addition, the way the technology is applied under WSUD and connects to people via design and architecture is unique in this project. WSUD also provides an improvement in quality of life and a reduction in vulnerability to extreme weather, which is not easily captured in the aforementioned technical and financial details. It is critical to acknowledge the importance of design and architecture in unlocking the full potential of technical intervention like decentralized water management. Design can help leverage it to increase biodiversity by creating a constantly green oasis while providing the community with a highly resilient structure which can mitigate the effects of climate change.

2.3. The City of Darmstadt

The city of Darmstadt is a mid-sized university town located in the federal state of Hesse 30 km south of Frankfurt am Main. Darmstadt has a population of 163,435 and an area of 122 km2 [33], making it the fourth biggest city within the federal state of Hesse. The city is an important center of education, research and science. Darmstadt has major employers in the information and communication, healthcare and manufacturing sectors [34]. Darmstadt is part of the Frankfurt Rhine-Main metropolitan region which includes the cities of Aschaffenburg, Offenbach and Frankfurt am Main. Frankfurt Rhine-Main is one of the eleven metropolitan regions in Germany and is home to a population of 5.8 million people and the location of numerous influential political institutions and corporate headquarters [35]. Climate change adaptation has gained traction within the municipality of Darmstadt with multiple strategies being developed and implemented in the last decade. In 2013, an integrated concept for climate protection was set up [36] which was followed by a 25-point immediate action plan for climate protection in 2020. In 2021, the city of Darmstadt established the office for climate protection and climate adaptation, which meanwhile has grown to a staff of over ten employees.

Exposure to Climate Change

In 2021, the German Environment Agency (UBA) published its report, The Risks of Climate in Germany, where it clearly confirms that Germany will be affected by climate change nationwide [37,38]. It also noted that adverse effects such as heatwaves or heavy storm water will not be distributed evenly but impact differs regionally [38]. The overview map in Figure 3 illustrates how different parts of Germany, e.g., the coasts, the northwest and the mountainous regions, are exposed to either a minor, strong or very strong increase in four categories of risk, i.e., average temperature, heat, heavy storm water and drought.
Climate projections for the city of Darmstadt predict a very strong increase in heat risk. While a minor increase in the remaining three risk categories is also predicted. Figure 3 also shows that Darmstadt is located in the warmest region of Germany. In addition, the report states that densely populated urban areas such as the “Ruhrgebiet” or the “Rhein-Main-Neckar Region” will be affected significantly more by weather extremes [38].
The findings of UBA have been seconded by climate change studies performed at the state and city levels. The 2017 integrated climate protection plan of the state of Hesse that incorporates climate projections carried out by the Potsdam Institute for Climate Impact Research confirms that the degree and characteristics of climate-change-related effects vary regionally, and the south of the state of Hesse including the region around the city of Darmstadt will be especially affected by high temperatures and long-lasting heat [39]. Studies on climate change carried out or commissioned by the municipality of Darmstadt complement the federal and the state reports by providing data of higher granularity on a district scale. The semi-annual report on statistics in 2020, for example, includes a special issue on climate change in Darmstadt [40]. This report makes use of data provided by a number of temperature metering stations positioned throughout the city. From 1961 to 2019, the annual mean temperature has risen from 10 °C to 11 °C with summer and winter seasons experiencing the greatest increase in monthly average temperatures. The number of summer days with temperatures exceeding 25 °C has increased from an average of 43 days between 1961 and 1990 to 76 days in the time span from 2015 to 2019. The number of hot days characterized by a temperature that exceeds 35 °C has tripled while average frequency of heat waves has increased eight-fold for the same reference time frames. A heat waves is defined as “a multi-day period with extraordinary thermal stress” [40] (p. 11). The climate reports paint a slightly different concern regarding storm water risk to the city of Darmstadt. The number of rainy days per year has not changed significantly, but the mean annual storm water has decreased. From 2015 to 2019 average storm water per year amounted to 639 mm, which is 13% less than from 1961 to 1990. Furthermore, the distribution of storm water has shifted. Spring and summer are getting dryer, whereas the winter season is receiving more storm water. From 2015 to 2019, storm water volume dropped by more than 20 mm in the months of July and August, which is significant. Nevertheless, the Hessian Agency for Nature Conservation, Environment and Geology labels the city of Darmstadt as “increasingly at risk” [40] (p. 18) to heavy storm water events. A 2016 study commissioned by the city of Darmstadt also provides further details on the city microclimate and its exposure to climate-change-related effects [41]. All climate risk and vulnerability studies are unanimous that the city of Darmstadt is already suffering ill-effects of climate change, which are predicted to worsen in the coming future. The risk to the city is predominantly posed by increase in temperature and decrease in storm water during the summer. The city already has a tough baseline, given its location in the hottest region of Germany, and shows pronounced UHI effects in its inner core. The predicted further increases in heat and decreases in storm water will lead to numerous problems in the city. One of the most obvious will be drought, as high heat leads to water evaporation that in turn aggravates drought [40]. Thus, dryness will also pose a major problem in the future.

2.4. Further Data and Sources

To map and assess potential WSUD sites in Darmstadt following data were acquired:
  • For the assessment of potential WSUD sites, a leading municipal housing association provides data on their real estate located in Darmstadt. Altogether, its building stock includes 17,000 units, which is comparable to the size of the housing association realizing the WSUD prototype in Mannheim that maintains 15,000 units. This is an important indicator for transferability from the setting of Mannheim to Darmstadt. And both operate in mid-size cities. The data provided include address, number of buildings per site, number of building levels, number of apartments, total living space, date of erection and status of refurbishment.
  • For the assessment and the mapping of potential WSUD sites, the spatial data of the city of Darmstadt including infrastructure, plots, buildings, topographic and aerial photos are provided by the land surveyors office of the city of Darmstadt.
  • Data on monthly, daily and hourly storm water for Darmstadt are retrieved online from the German Weather Service (DWD) [42,43] and assessed for a ten-year period.

3. Results

3.1. Indicators for WSUD Application

The WSUD prototype presented in the previous section serves as a template for the assessment of potential sites in Darmstadt that are suited for the citywide application of a replicable WSUD. To ensure citywide coverage, the paper is focused on identifying existing building sites with suitability for WSUD application rather than green field developments. The main intention for focusing on the existing building stock is simply that the ratio of existing buildings is much higher than those which are being newly built in Darmstadt. Thus, emphasizing existing sites will, in all probability, lead to the identification of more WSUD applications than focusing on sites that are currently in development. This approach to maximize impact is supported by studies carried out in the context of the German energy transition, which have concluded that the biggest reduction in energy consumption can be achieved by the energy-focused refurbishment of the existing building stock [44]. The energy-focused refurbishment of the building stock in Germany is an ongoing process that is driven by state and federal subsidization as well as legal requirements with the long-term goal of achieving climate neutrality by 2050 [45]. From an economic, strategic and logistic point of view, it will be reasonable to combine WSUD application with energy-focused refurbishment measures, because there is an overlap in the overall climate objectives of both programs. Moreover, “resource efficiency” in a holistic sense [46] (p. 15) as defined by the Sustainable Development Goals (SDG) to “make cities and human settlements inclusive, safe, resilient and sustainable” [46] (p. 15) includes both water and energy. Hence, non-refurbished sites awaiting energy-focused renovation are particularly suited for WSUD application.
Indicators (financial and O and M viability) for site section derived from the prototype specifications are (Table 1):
  • Building use, ownership and operation
These indicators refer to the usage of the buildings in the prototype which are 100% residential and the building cluster being owned and operated by a city housing association. The building stock assessed in this study comply with both indicators.
2.
Number of units and/or grand total of living space
The WSUD prototype is connected to a total of 74 apartment units located in the two buildings flanking the courtyard. Altogether, these provide 5888 m2 of living space. Both figures are indicators of financial feasibility. This is a necessity for the housing association executing the prototype, otherwise the project would not have been approved by the executive board. With this number of units, or rather living space, involved, the payback for additional costs of the WSUD prototype is estimated to be within 25 years from the savings in town water use for household and irrigation purposes and by a reduction in wastewater fee payments.
Indicators (logistical viability) for site selection derived from existing site surveys are outline below (Table 1):
  • State of refurbishment
WSUD application in existing building sites would require extensive civil work which includes landscaping, concrete work and the installation of the water treatment unit that additionally requires separate piping in the buildings for grey water and service water [47]. In order to mount this system, the installation shafts in the buildings need to be opened. This is an expensive undertaking, but costs can be rationalized if they are aligned with other refurbishment measures or incorporated within the scope of a full renovation. This can be achieved by clubbing WSUD applications with federal- and state-mandated and subsidized energy-focused refurbishments. Therefore, to ensure the city-scale implementation of WSUD, it is deemed important to link site selection with the refurbishment status of the potential sites. But the timespan when a building is due for renovation can only be defined as an approximation because the lifespan of building materials depends on numerous factors [48] that can lead to disparities between the expected and the actual lifespan, and even though a building might be in a state of neglect, it may not mean that the building operator will take immediate action. In this paper, a 40-year timespan is defined as the age for refurbishment based on the average lifespan of different piping materials [49] when they have reached a state of “major damage that cannot be repaired due to technical or financial reasons’’ [49] (p. 12). Based on the aforementioned rationale, indicators of state of refurbishment are assessed in three ways: (1) building stock that was erected at least 40 years ago and that has never been renovated, (2) building stock that was renovated at least 40 years ago and (3) building stock that by the year 2030 will have been unrenovated for 40 years.
2.
Available open space
The site must have sufficient open space for the WSUD lake to be positioned.

3.2. Shortlisted Sites for WSUD Application

A total of 496 sites were examined in Darmstadt (Figure 4) against the indicators as described in Table 1. In the initial assessment, 19 sites met all the indicators. In the follow-up assessment, three additional sites were shortlisted despite not meeting all the stated indicators. These three sites, namely #3, #7 and #9, fell short of the minimum threshold indicator “number of units and/or grand total of living space” by only less than 9%, which the authors feel is not a significant enough shortfall to disregard their potential for inclusion in the study. Finally, a grand total of 22 sites were shortlisted for assessing the city-scale WSUD application. These sites account for 4.4% of all sites examined in the city of Darmstadt. Since most of the shortlisted sites are significantly large housing developments, they together represent 19% of all apartment units and 20% of total living space examined in the city with a population of about 6300 tenants.

3.3. WSUD Lake Dimensioning and Water Balance

In order to assess the overall impact of citywide WSUD prototype implementation, a WSUD lake is dimensioned for each of the 22 shortlisted sites. Based on the dimensions and the water balance of each WSUD lake, a grand total of reused service water, gained irrigation water and retained storm water has been calculated. The lake design and dimensioning calculations refer to specifications and average values applied in the prototype, such as averages of town water consumption per capita, averages of the amount of grey water and black water per capita or averages of the number of tenants for each unit. The lake balancing method refers to standards used in hydrology studies [50]. Climatology data on storm water in Darmstadt from 2011 to 2021 has been sourced from DWD. Data on urban morphologies (Table A1) are used to calculate unsealed space, i.e., the greenery, based on average ratios. Further values include standard irrigation rates (Table A2). Water inflow includes storm water and the surplus of service water from the households; water outtake refers to evaporation and the water provided for irrigation purposes. It must be noted that water inflow by runoff from greenery and water outtake in the form of infiltration from the lake bank and bottom are not taken into consideration because the prototype design specifications do not do so. Furthermore, calculations in this study are performed based on monthly water inflow and outtake in the WSUD lake in order to achieve a monthly water balance. This is the appropriate granularity to meet the objectives of this paper, but the application of approximations, standard values and monthly as opposed to daily or hourly balancing lead to limitations. The precise calculation of roofs and greenery and the application of exact figures on town water consumption or irrigation demands would refine the results. The conduction of hourly simulations would lead to an even better understanding of the inflow and outflow of water and could consider the holiday season with reduced water consumption per capita, which results in less service water inflow. This could further improve the lake design. The calculations consist of two preliminary steps leading to the main calculation for the monthly lake water balance. For conciseness, this section focuses on the description of the main calculation. The preliminary steps are only presented in brief but are outlined in Appendix A of this paper. Table 2 lists all variables and parameters included in the dimensioning and balancing of the WSUD lakes.

3.3.1. Preliminary Steps

Preliminary steps define the size of the main water body of the WSUD lake that is to be used for irrigation purposes and an extension area intended to temporarily retain storm water from extreme rainfall events. The irrigation capacity refers to the amount of water that is necessary to fully irrigate the standard greenery of each site for a period of 15 days. Retention, on the other hand, is based on the amount of storm water that would add to the lake level in the case of a 100-year heavy storm water event. The calculations incorporate average values on urban typologies [51] (Table A1) and irrigation rates [52] (Table A2). Retention capacity refers to the maximum daily storm water event for Darmstadt (Table A3). The dimensions of the lakes are restricted to a depth of 0.4 m and a width to length ratio of 1:7, as outlined in the description of the prototype.

3.3.2. Monthly Water Balance

The preliminary steps are the basis for the monthly lake water balance (Figure 5). Water inflow through storm water refers to monthly averages (Table 3). Because site data do not include information on the nature of the roofs, SWmth is multiplied with the base area (Abase) of the buildings to approximate the total of storm water inflow. Additionally, inflow includes the surplus of service water per month (SEWsurplus) based on average consumption values applied in the design of the prototype and multiplied with the number of units (U). Lake outtake includes irrigation water and evaporation. The German weather service (DWD) provides data on evaporation for a lake depth of two meters. The deviation in the depth of the prototype is negligible because lake depth is not taken into account for the calculation of evaporation [53]. The total amount of irrigation water withdrawn from the lake is calculated by multiplying monthly irrigation averages (ØIRmth) with the irrigation area (Airrigation) of the site.
Abase × ØSWmth =  litres from SW inflow
U × ØSEWsurplusmth =  litres from SEW surplus
Airrigation × ØIRmth =  litres of irrigation
Larea × ØEVmth =  litres of evaporation
As an example, Figure 6 shows the lake water balance sheets for sites 03 and 04 alongside the corresponding site plan. Irrigation rates are reduced in gradations of 3 4 , 1 2 , 1 3 , 1 4 and 1 8 referring to the greenery that is watered. As stated in the description of the prototype, lake levels must not fall below a capacity of 25%. Apart from this requirement lake levels must reach 100% when the irrigation phase begins in April.
The remaining 21 site sheets (Figure A1, Figure A2, Figure A3, Figure A4, Figure A5, Figure A6, Figure A7, Figure A8, Figure A9 and Figure A10) can be found in the Appendix B of this paper alongside data on monthly storm water in Darmstadt (Table A4) and site assessment (Table A5).

3.4. Impact on the City Water Cycle

Based on the final calculations, altogether (a) 123 million liters of town water could be saved by WSUD prototype application per year from the 22 sites. This refers to the reuse of service water in toilets and washing machines in the households. Irrigation water provided by the lake would account for (b) 24 million liters per year. Two million liters is the total storm water retention capacity. Thus, the total savings in town water add up to 147 million liters (a + b) per year, which corresponds to the consumption of 3200 inhabitants. Under normal circumstances, this water would need to be retrieved from groundwater. However, it must be noted that despite all the designing and engineering permutations and combinations, only four sites can maintain full irrigation throughout the entire year with WSUD application. These four sites have a relatively higher ratio of built-up area to open space ranging between 0.35 and 0.51. This means they have much higher storm water runoff and less greenery to irrigate compared to other sites. In these cases, the supply of storm water and surplus of service water exceed the irrigation demands from April to September. The remaining 18 sites must lower irrigation levels between May and September ranging from 25% to 75%, otherwise the lake level would fall below the critical 25%. This is due to their ratio of built-up area to open space being low, and they range between 0.09 and 0.21. The reduced amount of irrigation water can either be distributed evenly or can be allocated to priority irrigation spots.

3.5. Further Limitations and Obstacles

Apart from the indicators listed in Table 1 applied for WSUD site assessment, there are a few caveats that need to be named and considered. These do not affect the application but may have implications on the WSUD lake design. These caveats would need further investigation and consideration in case a WSUD project is ultimately executed on site. The first caveat refers to the area that needs to be provided for the fire brigade so it can access the site in case of a fire. Length, width and position of this area are based on set requirements but to a limited extent are negotiated with the local fire brigade and tailored according to the site [54]. Nevertheless, this area cannot overlap with the WSUD lake; therefore, lake design has to be adjusted to accommodate this. The second caveat relates to the existing trees on a site. It can be a challenge to preserve old and full-grown trees while positioning the WSUD lake on the site. It is important to point out that trees are beneficial for climate resilience in an urban context [55] and should be preserved; therefore, WSUD lake design has to be adjusted to accommodate such trees. As noted earlier, splitting the lake into more than one basin is possible and could help address both aforementioned caveats.
Other noteworthy obstacles were witnessed in the planning process of the WSUD prototype. Generally speaking, storm water management and in particular the infiltration into the soil has to be approved by the environmental agency. The management of grey and service water, on the other hand, has to be approved by the health agency. Since the IWRMS combines storm, grey and service water, there was no clear responsibility. Only a special permit signed by both units enabled the continuation of planning and realization. In addition, the housing association in Mannheim insisted on a proof-of-concept ensuring that lake levels do not fall below the critical minimum in summertime. These examples demonstrate two challenges: it was new for the city administration to handle a project that did not comply with water management standards, and on the client side, there was recurring insecurity in the prototype’s flawless operation.

4. Conclusions and Discussion

Climate change is already impacting weather patterns across the world, and the scientific consensus is that it will only get worse. Urban environments, due to their inherent form, are aggravating the impact of climate change on their residents, increasing the urgency to implement adaptation measures. Assessments carried out for Germany and the city of Darmstadt in particular underline this necessity. The WSUD prototype presented in this paper could be one of numerous interconnected measures taken in order to mitigate the impact of climate change. The assessment carried out in this paper provides evidence that WSUD can help the city during drought by reducing dependency on town water for local irrigation and household use. It also helps provide thermal relief during heatwave due to the adiabatic cooling effect of the WSUD lake on the development sites. During extreme storm water events, the WSUD can soften the pressure on the city storm water drainage system by locally managing the extra storm water and reducing the possibility of flooding. Apart from these climate adaptation benefits, the WSUD also improves quality of life. It enhances landscape design, it helps to preserve biodiversity and it provides adiabatic cooling.
The other question that this paper attempted to explore was that of scalability and application to an existing city. The paper finds through its investigation of the city of Darmstadt that a considerable number of housing developments already have the logistical suitability—physical space and appropriate vintage warranting renovation—for implementing WSUD. The paper found that 22 WSUD projects can be implemented in the city serving an impressive 2527 apartment units covering 155,153 m2 of living space in the city of Darmstadt. Annual savings of about 147 million liters of town water and local storm water retainment capacity of 2 million liters are achieved in this assessment. These results are despite the scope of this assessment being limited to sites owned and serviced by one party—municipal housing associations—which limited the evaluation to 496 sites. Additionally, the paper adopted very strict indicators that further limited selection to existing sites that have not been renovated for at least 40 years.
Another critical finding of the paper is that even with WSUD application it would not be possible to maintain 100% irrigation through WSUD of standard greeneries during the driest portion of the summer. This is because standard irrigation rates applied in this paper [51] lead to rather high irrigation outtakes, as they are based on water-intensive greenery. This means that to obtain 100% irrigation for the whole summer, there needs to be additional tweaking in landscape design by moving away from the standard water-intensive greenery toward native drought-tolerant plants and trees. Further, the viability of the greenery can be supported by increasing the saturation capacity of the soil. These two options were not investigated in this paper as they were beyond the study scope but could be explored as part of future research. Other research opportunities include the quantification of the added benefits of adiabatic cooling, the improvement of local biodiversity and overall quality of life from this exercise, the investigation of other potential sites for WSUD prototype application incorporating mixed forms of ownership and the refinement of WSUD prototype lake design through simulations. Additionally, investigating other cities could provide further insight on the question of scalability. In this case, transferability relies first and foremost on matching the indicators described in Chapter 3.1. City size, on the other hand, can vary.
The benefits and the water saving potential of WSUD outlined in this study suggest a change in city water politics in Germany. As mentioned earlier, administrations need to develop procedures that can handle new innovative approaches like the WSUD prototype that do not correspond to the well-established understanding of water management. In addition, WSUD should be adopted as a climate adaptation policy mandate and receive support with subsidies as performed with energy conservation renovations. But this calls for a more frequent consideration of WSUD by planners which, in contrast to known design principles, also emphasizes improving the quality of life. Both could pave the way for further WSUD projects in German cities. In conclusion, this paper demonstrates that WSUD has clear potential to help build a city’s climate resilience and reduce the pressure on town water systems. But it must also be noted that this paper is based on a specific WSUD prototype application, and it is only one element in the transformation process toward climate resilience. Other measures need to be investigated.

Author Contributions

Conceptualization, J.S.; methodology, J.S. and S.G.; investigation, J.S. and S.G.; data curation, J.S.; writing—original draft preparation, J.S. and S.G.; writing—review and editing, A.S. and A.R.-C.; visualization, J.S. and S.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

Data are found in the manuscript and Appendix A, Appendix B.

Acknowledgments

This work has been funded by the LOEWE initiative (Hesse, Germany) within the emergenCITY center.

Conflicts of Interest

The authors declare no conflicts of interest.

Appendix A

Aopen space × Ropen space = Agreenery
Agreenery × ØIRday × 15 = liters IW pre
Lwidth × Llength × 0.4 = Lareapre
(with a ratio of 1:7 and in accordance with (A2))
Abase × SWmax = litres from SW inflow
Lwidth × Llength × 0.2 = Lareaextension
(with a ratio of 1:7 and in accordance with (A4))
Table A1. Ratios of greenery to open space of common urban morphologies.
Table A1. Ratios of greenery to open space of common urban morphologies.
TypeDetached HousesRow HousesRow Structures with Low DensityRow Structures with High DensityBlock StructureRural HousesHistorical CenterCity Center
Ropen space0.90.970.890.820.540.620.57100
Table A2. Average irrigation demands.
Table A2. Average irrigation demands.
JFMAMJJASOND
mm per mth00020507010010050000
mm per day0000.671.612.333.233.231.67000
Ø mm per day2.12 (from April to September)
Table A3. Maximum daily storm water event Darmstadt.
Table A3. Maximum daily storm water event Darmstadt.
DayHourSW [mm]DayHourSW [mm]
26 August 201100:00026 August 201112:000
26 August 201101:00026 August 201113:000
26 August 201102:0021.426 August 201114:000
26 August 201103:0022.826 August 201115:000
26 August 201104:00026 August 201116:000
26 August 201105:00026 August 201117:000
26 August 201106:00026 August 201118:000
26 August 201107:00026 August 201119:001.1
26 August 201108:00026 August 201120:0010.4
26 August 201109:00026 August 201121:001.6
26 August 201110:00026 August 201122:000.6
26 August 201111:00026 August 201123:000.6
Sum total: 58.5
Lareapre × ØIRday × 15 = liters IW lake
liters IW pre litres IW lake = liters IW
Lwidth × Llength × 0.4 = Larea
(with a ratio of 1:7 and in accordance with (A7))
AgreeneryLarea = Airrigation

Appendix B

Table A4. Monthly storm water Darmstadt.
Table A4. Monthly storm water Darmstadt.
YearMonthΣ SW [mm]YearMonthΣ SW [mm]
2011January59.22017January25.5
2011February18.42017February27.2
2011March16.12017March48.6
2011April12.32017April14.9
2011May15.32017May80.8
2011June66.92017June52.6
2011July75.82017July130.3
2011August1512017August93.6
2011September42.12017September61.9
2011October28.22017October50.1
2011November1.22017November108.6
2011December104.62017December74.9
2012January70.62018January79.3
2012February10.52018February15.8
2012March19.32018March55.8
2012April42.52018April54.4
2012May48.52018May43.5
2012June89.62018June22.6
2012July123.92018July8
2012August62.72018August15.9
2012September42.32018September34.6
2012October60.52018October7.9
2012November45.22018November24.7
2012December94.12018December113
2013January47.32019January58.7
2013February472019February10.2
2013March292019March50.8
2013April78.12019April43.1
2013May136.32019May109.2
2013June69.42019June49
2013July26.82019July41.2
2013August72.12019August49.6
2013September83.22019September75.6
2013October90.32019October93.4
2013November68.62019November63.8
2013December422019December69
2015January88.62020January37.4
2015February252020February108.8
2015March31.22020March66
2015April25.22020April14.7
2015May10.12020May67.1
2015June242020June48.5
2015July28.22020July21.9
2015August40.42020August75.5
2015September62.12020September38.4
2015October16.82020October65.1
2015November74.72020November22.2
2015December30.52020December91.5
2016January72.42021January77.4
2016February99.82021February44.2
2016March45.62021March22.8
2016April72.22021April22.2
2016May81.42021May88.4
2016June103.12021June97
2016July43.52021July95.1
2016August35.92021August61.2
2016September27.42021September25.9
2016October532021October53.7
2016November48.42021November42
2016December9.82021December53.1
Table A5. Shortlisted sites.
Table A5. Shortlisted sites.
IndicatorValueNumber
Number of units and or grand total of living space≥70 and or ≥5900 m21
State of refurbishmentBuilding stock that was erected at least 40 years ago and that has never been renovated2
Building stock that was renovated at least 40 years ago3
Building stock that by the year 2030 will have been unrenovated for 40 years4
Number of site [-]Levels per building [-]Erection yearState of refurbishmentNumber of units [-]Living space [m2]Indicator match
141929Not refurbished105051 and 2
141929Not refurbished10505
141929Not refurbished10517
141929Not refurbished9502
141929Not refurbished10502
141929Not refurbished10522
141929Not refurbished10520
141929Not refurbished9507
141929Not refurbished9505
141929Not refurbished10517
141929Not refurbished10511
141929Not refurbished10521
Total 1176135
221950Not refurbished63041 and 2
221950Not refurbished6300
221950Not refurbished6301
221950Not refurbished6323
221950Not refurbished6323
221950Not refurbished6323
221950Not refurbished6301
221950Not refurbished6304
221950Not refurbished6300
221950Not refurbished6301
221950Not refurbished6301
221950Not refurbished5264
221950Not refurbished6309
221950Not refurbished6307
221950Not refurbished6323
221950Not refurbished6323
221950Not refurbished6316
221950Not refurbished6322
221950Not refurbished6382
221950Not refurbished6322
221950Not refurbished6322
221950Not refurbished6323
221950Not refurbished6303
221950Not refurbished6303
221950Not refurbished6343
221950Not refurbished5291
Total 1548139
391971Not refurbished3830481 and 2
391971Not refurbished161360
391971Not refurbished10608
Total 645015
451951Not refurbished95071 and 2
451951Not refurbished10619
451951Not refurbished15721
451951Not refurbished9507
451951Not refurbished10619
451951Not refurbished15721
451951Not refurbished9507
451951Not refurbished10619
451951Not refurbished15721
Total 1025542
541930Not refurbished103941 and 2
541930Not refurbished10397
541930Not refurbished9374
541930Not refurbished9585
541930Not refurbished10533
541930Not refurbished9408
541930Not refurbished9460
541930Not refurbished5280
541930Not refurbished4271
541930Not refurbished10384
541930Not refurbished8315
541930Not refurbished10396
541930Not refurbished8312
541930Not refurbished10391
541930Not refurbished9396
541930Not refurbished4281
541930Not refurbished10415
Total 1446591
651984Not refurbished118371 and 4
651984Not refurbished10692
651984Not refurbished201198
651984Not refurbished201255
651984Not refurbished12938
Total 734920
781969Not refurbished1919651 and 2
781969Not refurbished251872
781969Not refurbished181904
Total 625741
831966Not refurbished64141 and 2
831966Not refurbished6433
831966Not refurbished6433
831966Not refurbished6414
831966Not refurbished6433
831966Not refurbished6414
8121966Not refurbished603566
841966Not refurbished8573
841966Not refurbished8673
841966Not refurbished8618
841966Not refurbished8618
Total 1288586
9141967Not refurbished6951611 and 2
Total 695161
10121968Not refurbished7242931 and 2
Total 724293
11111974Not refurbished4632771 and 2
11111974Not refurbished614677
Total 1077954
1291975Not refurbished3022961 and 2
1251975Not refurbished13764
1291975Not refurbished141049
1291975Not refurbished463401
1251975Not refurbished13764
1291975Not refurbished463289
1251975Not refurbished13764
1291975Not refurbished141049
1291975Not refurbished453214
1291975Not refurbished453238
1251975Not refurbished13764
1291975Not refurbished161198
1291975Not refurbished513819
1251975Not refurbished16954
1291975Not refurbished272066
1291975Not refurbished453214
1251975Not refurbished13764
1291975Not refurbished141049
Total 47433,655
1331982Not refurbished127731 and 4
1331982Not refurbished10817
1331982Not refurbished8608
1331982Not refurbished10817
1331982Not refurbished8607
1331982Not refurbished12772
1331982Not refurbished11691
1331982Not refurbished7473
1331982Not refurbished11693
1331982Not refurbished11691
1331982Not refurbished12714
1331982Not refurbished7535
Total 1198190
1431983Not refurbished74181 and 4
1431983Not refurbished8463
1411983Not refurbished190
1411983Not refurbished190
1431983Not refurbished8463
1411983Not refurbished190
1411983Not refurbished190
1431983Not refurbished8607
1431983Not refurbished8696
1431983Not refurbished10817
1431983Not refurbished11693
1431983Not refurbished6464
1431983Not refurbished8584
Total 785562
1531984Not refurbished6029291 and 4
1511984Not refurbished351738
Total 954667
1641990Not refurbished2112091 and 4
1641990Not refurbished291660
1641990Not refurbished291660
Total 794530
1731986Not refurbished85731 and 4
1731986Not refurbished2131
1731986Not refurbished2131
1731986Not refurbished4304
1731986Not refurbished8601
1731986Not refurbished2118
1731986Not refurbished2144
1731986Not refurbished2144
1731986Not refurbished2118
1731986Not refurbished8601
1731986Not refurbished4304
1731986Not refurbished2131
1731986Not refurbished2131
1731986Not refurbished8573
1731986Not refurbished2144
1731986Not refurbished2144
1731986Not refurbished2118
1731986Not refurbished8601
1731986Not refurbished8601
1731986Not refurbished2118
Total 805731
1831989Not refurbished3315761 and 4
1831989Not refurbished271197
1831989Not refurbished351839
Total 954612
1931960Not refurbished4713951 and 2
1941960Not refurbished23848
1931960Not refurbished38799
1931960Not refurbished241067
Total 1324109
2041926Not refurbished83861 and 2
2041926Not refurbished8385
2041926Not refurbished8386
2031926Not refurbished8387
2041926Not refurbished8387
2041926Not refurbished8387
2031926Not refurbished8387
2031926Not refurbished8387
2031926Not refurbished8385
2031926Not refurbished8372
2031926Not refurbished8400
2031926Not refurbished8383
Total 964632
2111951Not refurbished63661 and 2
2111951Not refurbished6345
2111951Not refurbished3148
2111951Not refurbished6368
2111951Not refurbished6345
2111951Not refurbished8452
2111951Not refurbished6343
2111951Not refurbished8451
2111951Not refurbished6343
2111951Not refurbished8450
2111951Not refurbished6345
2111951Not refurbished8451
2111951Not refurbished8445
2111951Not refurbished10322
2111951Not refurbished8217
Total 1035390
2241983Not refurbished85751 and 4
2241983Not refurbished8585
2241983Not refurbished8585
2241983Not refurbished8585
2241983Not refurbished8585
2241983Not refurbished8508
2231983Not refurbished6438
2231983Not refurbished6438
2231983Not refurbished6438
2231983Not refurbished6407
2231983Not refurbished6415
2231983Not refurbished6438
Total 845996
Figure A1. Site sheets 01 and 02.
Figure A1. Site sheets 01 and 02.
Water 16 00582 g0a1
Figure A2. Sites 05 and 06.
Figure A2. Sites 05 and 06.
Water 16 00582 g0a2
Figure A3. Sites 07 and 08.
Figure A3. Sites 07 and 08.
Water 16 00582 g0a3
Figure A4. Sites 09 and 10.
Figure A4. Sites 09 and 10.
Water 16 00582 g0a4
Figure A5. Sites 11 and 12.
Figure A5. Sites 11 and 12.
Water 16 00582 g0a5
Figure A6. Sites 13 and 14.
Figure A6. Sites 13 and 14.
Water 16 00582 g0a6
Figure A7. Sites 15 and 16.
Figure A7. Sites 15 and 16.
Water 16 00582 g0a7
Figure A8. Sites 17 and 18.
Figure A8. Sites 17 and 18.
Water 16 00582 g0a8
Figure A9. Sites 19 and 20.
Figure A9. Sites 19 and 20.
Water 16 00582 g0a9
Figure A10. Sites 21 and 22.
Figure A10. Sites 21 and 22.
Water 16 00582 g0a10

References

  1. Bundesministerium für Umwelt, Naturschutz, nukleare Sicherheit und Verbraucherschutz (BMUV). Zweiter Fortschrittsbericht zur Deutschen Anpassungsstrategie an den Klimawandel; Federal Ministry for Environment, Nature Conservation and Nuclear Safety (Germany): Berlin, Germany, 2020. [Google Scholar]
  2. World Metrological Organization (WMO). World Meteorological Organization. 2022. Available online: https://public.wmo.int/en (accessed on 25 August 2022).
  3. National Oceanic and Atmospheric Administration (NOAA) and National Integrated Drought Information System (NIDIS). 2022. Available online: https://www.drought.gov/ (accessed on 25 August 2022).
  4. European Centre for Medium-Range Weather Forecasts (ECMWF), ecmwf. 2022. Available online: https://www.ecmwf.int/ (accessed on 25 August 2022).
  5. Statistische Bundesamt, Destatis. 2023. Available online: https://www.destatis.de/DE/Presse/Pressemitteilungen/2023/01/PD22_012_126 (accessed on 30 January 2023).
  6. Raether, E. Zeit Online. 2022. Available online: https://www.zeit.de/2022/28/flutkatastrophe-ahrtal-ahr-hochwasser (accessed on 30 January 2023).
  7. Intergovernmental Panel on Climate Change (IPCC). Climate Change 2022-Impacts, Adaptation and Vulnerability; Working Group II Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change; IPCC: Geneva, Switzerland, 2022. [Google Scholar]
  8. United Nations (UN). United Nations Climate Change. 2022. Available online: https://unfccc.int/process-and-meetings/the-paris-agreement/the-paris-agreement (accessed on 25 August 2022).
  9. European Commission (EC), Joint Research Centre; Baranzelli, C.; Vandecasteele, I.; Aurambout, J.; Siragusa, A. (Eds.) The Future of Cities: Opportunities, Challenges and the Way Forward; Publications Office: Luxembourg, 2019. [Google Scholar]
  10. European Enviroment Agency (EEA). Urban Adaptation to Climate Change in Europe 2016-Transforming Cities in a Changing Climate. Available online: https://op.europa.eu/en/publication-detail/-/publication/573254ad-a7f6-459d-944f-9bbfe1cb58cd/language-en/format-PDF/source-265076876 (accessed on 1 November 2023).
  11. Depietri, Y. Social vulnerability assessment of the Cologne urban area (Germany) to heat waves: Links to ecosystem services. Int. J. Disaster Risk Reduct. 2013, 6, 98–117. [Google Scholar] [CrossRef]
  12. Steensen, B.M.; Marelle, L.; Hodnebrog, Ø.; Myhre, G. Future urban heat island influence on precipitation. Clim. Dyn. 2022, 58, 3393–3403. [Google Scholar] [CrossRef]
  13. Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (BMUV) (Ed.) Recommendations for Actio Heat-Action Plans to Protect Human Health; BMUV: Bonn, Germany, 2017. [Google Scholar]
  14. Varouchakis, E.A.; Apostolakis, A.; Siaka, M.; Vasilopoulos, K.; Tasiopoulos, A. Alternatives for domestic water tariff policy in themunicipality of Chania, Greece, toward water saving using game theory. Water Policy 2018, 20, 175–188. [Google Scholar] [CrossRef]
  15. He, C.; Liu, Z.; Wu, J.; Pan, X.; Fang, Z.; Li, J.; Bryan, B.A. Future global urban water scarcity and potential solutions. Nat. Commun. 2021, 12, 4667. [Google Scholar] [CrossRef] [PubMed]
  16. Aboelnga, H.T.; Ribbe, L.; Frechen, F.-B.; Saghir, J. Urban Water Security: Definition and Assessment Framework. Resources 2019, 8, 178. [Google Scholar] [CrossRef]
  17. United Nations (UN)-Department of Economic and Social Affairs-Population Dynamics: The World’s Cities in 2018. Available online: https://www.un.org/development/desa/pd/sites/www.un.org.development.desa.pd/files/files/documents/2020/Jan/un_2018_worldcities_databooklet.pdf (accessed on 15 November 2023).
  18. Radcliffe, J. History of Water Sensitive Urban Design/Low Impact Development Adoption in Australia and Internationally. In Approaches to Water Sensitive Urban Design; Woodhead Publishing: Sawston, UK, 2019; pp. 1–24. [Google Scholar]
  19. Australian Capital Territory (ACT). Water Sensitive Urban Design-Review Report; ACT: Canberra, Australia, 2014. [Google Scholar]
  20. Joint Steering Committee for Water Sensitive Cities (JSCWSC). Evaluating Options for Water Sensitive Urban Design-A National Guide; BMT WBM PTY Ltd.: Adelaide, Australia, 2009. [Google Scholar]
  21. European Environment Agency (EEA). Urban Adaptation in Europe: How Cities and Towns Respond to Climate Change; European Environment Agency: Copenhagen, Denmark, 2020. [Google Scholar]
  22. Kuller, M.; Bach, P.M.; Ramirez-Lovering, D.; Deletic, A. Framing water sensitive urban design as part of the urban form: A critical review of tools for best planning practice. Environ. Model. Softw. 2017, 96, 265–282. [Google Scholar] [CrossRef]
  23. Sharma, A.K.; Pezzaniti, D.; Myers, B.; Cook, S.; Tjandraatmadja, G.; Chacko, P.; Chavoshi, S.; Kemp, D.; Leonard, R.; Koth, B.; et al. Water Sensitive Urban Design: An Investigation of Current Systems, Implementation Drivers, Community Perceptions and Potential to Supplement Urban Water Services. Water 2016, 8, 272. [Google Scholar] [CrossRef]
  24. Wong, H.F. Water sensitive urban design–the journey thus far. Australas. J. Water Resour. 2006, 10, 213–222. [Google Scholar] [CrossRef]
  25. U.S. Environmental Protection Agency (USEPA). Manual: Constructed Wetlands Treatment of Municipal Wastewaters; National Risk Management Research Laboratory: Cincinnati, OH, USA, 1999. [Google Scholar]
  26. Van de Walle, A.; Kim, M.; Alam, M.K.; Wang, X.; Wu, D.; Dash, S.R.; Rabaey, K.; Kim, J. Greywater reuse as a key enabler for improving urban wastewater management. Environ. Sci. Ecotechnology 2023, 16, 100277. [Google Scholar] [CrossRef] [PubMed]
  27. Juan, Y.K.; Chen, Y.; Lin, J.M. Greywater Reuse System Design and Economic Analysis for Residential Buildings in Taiwan. Water 2016, 8, 546. [Google Scholar] [CrossRef]
  28. Gross, A.; Maimon, A.; Alfiya, Y.; Friedler, E. Greywater Reuse; CRC Press: Boca Raton, FL, USA, 2015. [Google Scholar]
  29. Feng, W.; Liu, Y.; Gao, L. Stormwater treatment for reuse: Current practice and future development–A review. J. Environ. Manag. 2022, 301, 113830. [Google Scholar] [CrossRef] [PubMed]
  30. Hatt, B.E.; Deletic, A.; Fletcher, T.D. Integrated treatment and recycling of stormwater: A review of Australian practice. J. Environ. Manag. 2006, 79, 102–113. [Google Scholar] [CrossRef] [PubMed]
  31. Hamburg Wasser, Hamburg Water Cycle. 2024. Available online: https://www.hamburgwasser.de/umwelt/vorsorge/hamburg-water-cycle (accessed on 17 January 2023).
  32. Stadt Heilbronn, Bundesgartenschau-Gelände. 2024. Available online: https://www.heilbronn.de/umwelt-mobilitaet/gruenes-heilbronn/buga-gelaende.html (accessed on 17 January 2023).
  33. Amt für Wirtschaft und Stadtentwicklung (AWS)-Statistik und Stadtforschung: Zahlen in Kürze 2022. Available online: https://www.darmstadt.de/fileadmin/Bilder-Rubriken/Standort/Statistik_und_Stadtforschung/pdf/faltblaetter/ZahlenInKuerze2022_Internet.pdf (accessed on 18 November 2023).
  34. Amt für Wirtschaft und Stadtentwicklung (AWS)-Statistik und Stadtforschung, Statistik und Stadtforschung. Available online: https://www.darmstadt.de/fileadmin/Bilder-Rubriken/Standort/Statistik_und_Stadtforschung/pdf/jahrbuch/04Wirtschaft/K04-2-4.pdf (accessed on 18 November 2023).
  35. Regionalverband FrankfurtRheinMain (RFRM), Metropolregion FrankfurtRheinMain, Region FrankfurtRheinMain. 2021. Available online: https://www.region-frankfurt.de/Unsere-Themen-Leistungen/Metropolregion/ (accessed on 5 September 2022).
  36. Werner, P.; Enseling, A.; Koch, T.; Vaché, M.; Fahrwald, J.; Eppler, G. Integriertes Klimaschutzkonzept für die Wissenschaftsstadt Darmstadt; Institut für Wohnen und Umwelt (IWU): Darmstadt, Germany, 2013. [Google Scholar]
  37. Umweltbundesamt (UBA). Klimawirkungs- und Risikoanalyse 2021 für Deutschland-Kurzfassung; UBA: Dessau-Roßlau, Germany, 2021. [Google Scholar]
  38. Umweltbundesamt (UBA). Die Risiken des Klimawandels für Deutschland-Ergebnisse der Klimawirkungs- und Risikoanalyse 2021 sowie Schlussfolgerungen der Interministeriellen Arbeitsgruppe “Anpassung an den Klimawandel”; UBA: Dessau-Roßlau, Germany, 2022. [Google Scholar]
  39. Hessisches Ministerium für Umwelt, Klimaschutz, Landwirtschaft und Verbraucherschutz (HMUKLV). Integrierter Klimaschutzplan Hessen 2025; HMUKLV: Wiesbaden, Germany, 2017. [Google Scholar]
  40. Amt für Wirtschaft und Stadtentwicklung (AWS). Statistik und Stadtforschung: Statistische Berichte 1/2020-Wissenschaftsstadt Darmstadt-Sonderbeitrag: Klimawandel in Darmstadt; AWS: Darmstadt, Germany, 2020. [Google Scholar]
  41. Katzschner, L.; Kupski, S. Endbericht Klimafunktionskarte Wissenschaftsstadt Darmstadt-Gesamtstädtische Klimaanalyse mit Planungsempfehlungen und Integration der Zukünftigen Baulichen sowie Klimatischen Veränderungen; INKEK: Lohfelden, Germany, 2016. [Google Scholar]
  42. Deutscher Wetterdienst (DWD). Deutscher Wetterdienst. 2022. Available online: https://www.dwd.de/DE/Home/home_node.html (accessed on 24 October 2022).
  43. DLR Rheinlandpfalz (DLRRLP). Dienstleistungszentrum Ländlicher Raum Rheinlandpfalz. Available online: https://www.wetter.rlp.de/Internet/AM/NotesAM.nsf/(Web_Stationen_Agrar)/492ce0892fa1a010c1257d710049c2e0?OpenDocument&TableRow=2.5#2 (accessed on 24 October 2022).
  44. Deutsche Energie-Agentur GmbH (dena). Der dena Gebäudereport 2016-Statistiken und Analysen zur Energieeffizienz im Gebäudebestand; Deutsche Energie-Agentur: Berlin, Germany, 2016. [Google Scholar]
  45. Bundesministerium für Wirtschaft und Energie (BMWi). Sanierungsbedarf im Gebäudebestand-Ein Beitrag zur Energieeffizienzstrategie Gebäude; Bundesministerium für Wirtschaft und Energie: Berlin, Germany, 2014. [Google Scholar]
  46. United Nations. Resolution adopted by the General Assembly on 6 July 2017; United Nations: New York, NY, USA, 2017. [Google Scholar]
  47. Cornel, P.; Wagner, M. Semizentrale Ver- und Entsorgungssysteme für urbane Räume Chinas-Teilprojekt 1; Technische Universität, Institut WAR: Darmstadt, Germany, 2006. [Google Scholar]
  48. Bahr, C.; Lennerts, K. Lebens- und Nutzungsdauer von Bauteilen-Endbericht. Aktenzeichen 2010, 10, 17. [Google Scholar]
  49. IP BAU. Alterungsverhalten von Bauteilen und Unterhaltskosten-Grundlagendaten für den Unterhalt und die Erneuerung von Wohnbauten; IP BAU: Bern, Switzerland, 1994. [Google Scholar]
  50. Nützmann, G.; Moser, H. Elemente einer analytischen Hydrologie-Prozesse-Wechselwirkungen-Modelle; Springer: Wiesbaden, Germany, 2016. [Google Scholar]
  51. Hegger, M.; Dettmar, J.; Martin, A.; Meinberg, T.; Boczek, B.; Drebes, C.; Greiner, M.; Hesse, U.; Kern, T.; Mahlke, D.; et al. Abschlussbericht: UrbanReNet-EnEff:Stadt-Verbundprojekt Netzoptimierung-Teilprojekt: Vernetzte regenerative Energiekonzepte im Siedlungs- und Landschaftsraum; Technical University of Darmstadt: Darmstadt, Germany, 2012. [Google Scholar]
  52. Arbeitsgemeinschaft Landtechnik und Landwirtschaftliches Bauwesen in Bayern e.V. (ALB). Bewässern nach Regeln-Wasserbedarf urbaner Grünflächen; Beratungsblatt bef7- Ausgabe 1-5/2020; ALB Bayern e.V.: Freising, Germany, 2020. [Google Scholar]
  53. Linacre, E.T. A simple formula for estimating evaporation rates in various climates, using temperature data alone. J. Agric. Meteorol. 1977, 18, 409–424. [Google Scholar] [CrossRef]
  54. Feuerwehr Wiesbaden (FWW). Abteilung Vorbeugender Brandschutz, Feuerwehr Wiesbaden. Available online: https://www.wiesbaden.de/microsite/feuerwehr/medien/bindata/Ausfuehrungsbestimmungen-Feuerwehrflaechen-Wiesbaden.pdf (accessed on 5 November 2023).
  55. Keith, L.; Meerow, S. Pasreport 600 Planning for Urban Heat Resilience; American Planning Association: Chicago, IL, USA, 2022. [Google Scholar]
Figure 1. Site plan WSUD prototype.
Figure 1. Site plan WSUD prototype.
Water 16 00582 g001
Figure 2. Scheme WSUD prototype.
Figure 2. Scheme WSUD prototype.
Water 16 00582 g002
Figure 3. Regional impact of climate change in Germany.
Figure 3. Regional impact of climate change in Germany.
Water 16 00582 g003
Figure 4. Distribution of 22 sites in Darmstadt.
Figure 4. Distribution of 22 sites in Darmstadt.
Water 16 00582 g004
Figure 5. Scheme monthly lake water balance.
Figure 5. Scheme monthly lake water balance.
Water 16 00582 g005
Figure 6. Example site sheet 03 and 04.
Figure 6. Example site sheet 03 and 04.
Water 16 00582 g006
Table 1. Indicators for WSUD site assessment.
Table 1. Indicators for WSUD site assessment.
Reference to Prototype
IndicatorSpecification
Building useResidential
OwnershipHousing association
OperationHousing association
Number of units and/or grand total of living space≥70 and or ≥5900 m2
Reference to existing site application
State of refurbishment (one of the three specifications must apply)Building stock that was erected at least 40 years ago and that has never been renovated
Building stock that was renovated at least 40 years ago
Building stock that by the year 2030 will have been unrenovated for 40 years
Available open spaceMust be sufficient to position the WSUD lake
Table 2. WSUD lake variables and parameters.
Table 2. WSUD lake variables and parameters.
DescriptionAdditional Notes
Variables
Total number of units [-]U-
Σ base area of buildings [m2]AbaseProxy for calculation of SW inflow
Σ open space of site [m2]Aopen spaceIncludes sealed (concretized) and unsealed area
Σ unsealed open space of site (greenery) [m2]AgreeneryIs calculated based on average ratios
Σ irrigated open space of site [m2]AirrigationIs calculated by subtraction of lake area
∑ litres of irrigation water (IW) [l]( liters IW pre)Total liters IW from pre-dimensioning
∑ litres of irrigation water (IW) [l]( liters IW lake)Total liters IW referring to lake
∑ litres of irrigation water (IW) [l]( liters IW)Total liters IW
Σ greywater [L/per day]GWTotal GW based on number of units
Σ reused greywater as service water [L/per day]SEWreuseTotal GW that is reused
Σ surplus service water [L/per day]SEWsurplusIs GW minus SEWreuse
Area lake pre-dimensionLareaprePre-dimension of main water body
Area lake retentionLarearetentionArea of lake extension for SW retention
Area lake LareaArea of main water body
Width of lake [m]Lwidth-
Length of lake [m]Llength-
Parameters
Depth of main water body [m]Ldepth main water bodyIs 0.,4 m according to the prototype
Depth of lake extension for SW retention [m]Ldepth retentionIs 0.2 m
Ratio lake width to lake length [-]LratioIs 1:7 according to the prototype
Ø Σ greywater [L/per resident and day]ØGWAverage value
Ø Σ reused GW as SEW [L/per resident and day]ØSEWreuseAverage value
Ø Σ surplus SEW [L/per resident and day]ØSEWsurplusIs ØGW minus ØSEWreuse
Ø Σ surplus SEW [L/per resident and mth]ØSEWsurplusmthMonthly SEW surplus
Ratios unsealed to sealed open space [%]Ropen spaceAre taken from a study on urban morphologies
Duration of irrigation [-]IRdurationIs defined as 15 days
Ø daily irrigation demand [mm]ØIRdayAverage values
Ø monthly irrigation demand [mm]ØIRmthAverage values
Daily storm water maximum [mm]SWmaxBased on SW data from 2011–2021
Ø monthly storm water [mm]ØSWmthBased on SW data from 2011–2021
Ø monthly evaporation [mm]ØEVmthAverage values
Table 3. Monthly storm water average Darmstadt.
Table 3. Monthly storm water average Darmstadt.
MonthØ Σ SW [MM] per Month 2011–2021MonthØ Σ SW [MM] per Month 2011–2021
January62July59
February41August66
March39September49
April38October52
May68November50
June62December68
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Schulze, J.; Gehrmann, S.; Somvanshi, A.; Rudolph-Cleff, A. From District to City Scale: The Potential of Water-Sensitive Urban Design (WSUD). Water 2024, 16, 582. https://doi.org/10.3390/w16040582

AMA Style

Schulze J, Gehrmann S, Somvanshi A, Rudolph-Cleff A. From District to City Scale: The Potential of Water-Sensitive Urban Design (WSUD). Water. 2024; 16(4):582. https://doi.org/10.3390/w16040582

Chicago/Turabian Style

Schulze, Joachim, Simon Gehrmann, Avikal Somvanshi, and Annette Rudolph-Cleff. 2024. "From District to City Scale: The Potential of Water-Sensitive Urban Design (WSUD)" Water 16, no. 4: 582. https://doi.org/10.3390/w16040582

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop