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Article

The Socio-Economic Effects of Floods and Ways to Prevent Them: A Case Study of the Khazir River Basin, Northern Iraq

1
Higher Institute of Water Sciences and Techniques of Gabes (ISSTEG), University of Gabès, Zrig, Gabès 6072, Tunisia
2
Department of Sensing and Nanophotonics, Laser and Photonics Research Center, University of Al-Hamdaniya, Nineveh 41006, Iraq
3
Department of Earth Sciences, Laboratory for the Application of Materials to the Environment, University of Gafsa, Water and Energy (LAM3E), Gafsa 2112, Tunisia
4
Department of Earth and Atmospheric Sciences, Science and Research Building 1, University of HouSton, 3507 Cullen Blvd, Room 312, Houston, TX 77204, USA
5
Department of Earth Sciences, Faculty of Sciences of Sfax, University of Sfax, P.O. Box 1171, Sfax 3000, Tunisia
6
Water, Energy and Environment Laboratory (LR3E), National School of the Engineers, University of Sfax, P.O. Box 1173, Sfax 3038, Tunisia
7
Department of Industrial Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
*
Author to whom correspondence should be addressed.
Water 2023, 15(24), 4271; https://doi.org/10.3390/w15244271
Submission received: 13 November 2023 / Revised: 4 December 2023 / Accepted: 11 December 2023 / Published: 13 December 2023

Abstract

:
The current study deals with how floods affect the social and economic lives of villagers in the lower basin of the Khazir River (northern Iraq), where the villages Kazkan, Tal al-Laban, and Wardak are located within active floodplains close to the riverbed. The aim of this paper is to perform both spatial and temporal analysis of floods affecting society and economic activities in the river basin and to assess ways of preventing them. In this study, qualitative and quantitative methods were used to analyze the results, and we relied on hydrological data and field studies that included oral interviews and personal observations on the phenomenon of floods. The first main study findings indicate through a statistical analysis of a sample of 100 people that floods in the study area are an expected and recurring phenomenon; they occur every year, with damage and losses varying from year to year and from one region to another. The second main study findings indicate that frequent flooding in the study area has a negative impact on growth in all economic and social sectors. These floods affect the agricultural sector more than other sectors as a result of agricultural land being located within flat plain areas with little slope. Based on the effects of floods, improved engineering solutions have been suggested to better control floods and handle emergencies. This is done using GIS models (HEC-GeoRAS) and HEC-RAS models to build a number of hydraulic designs on the riverbed according to different scenarios. The findings of this study should serve as an inspiration for water policy makers to make every effort to implement all feasible and effective preventive measures before floods occur as well as to allow rapid reaction, recovery, and reconstruction after a flood.

1. Introduction

Floods are defined as natural disasters that occur as a result of a group of factors beyond human control and cause material and human losses. Floods paralyze life, create environmental imbalance at all levels, both natural or human, and lead to loss of property and life along with poor economic development. Flooding is a major natural disaster that occurs in many parts of the world [1], and its frequency and magnitude are expected to increase with global warming [2]. A flood is a significant rise in water levels within a river, lake, or reservoir that overflows the banks [3]. Floods often occur without warning, with a sudden surge that always causes disasters for unprepared communities [4]. Flooding remains one of the most devastating natural disasters in the world, despite significant investments in prevention and management in recent decades [5].
Riverine areas are naturally at risk of flooding [6]. Socio-environmental systems are also exposed to a large number of risks, which represent a potential threat to the survival of the entire global system; these risks can be classified in different ways according to their severity and frequency [7]. Floods generally affect social and economic conditions, cause widespread unemployment, deteriorate public health, and destroy the ecosystem [8,9]. Flood control policy and regulation are important in reducing the risks of economic and social downturns, threats to human existence, and environmental preservation [10]. Civil societies, local and central governments, specialized academics, and commercial actors play influential roles as primary drivers of innovation in national programs for environmental conservation and sustainability [11].
Flood vulnerability can be reduced by timely and accurate warning, forecasting, and impact mitigation measures [12]. Floods can be predicted using the River Analysis System model from the Hydrological Engineering Center (HEC-RAS). It is useful in preparing a plan for mitigating and controlling the effects of floods [13]. The HEC-RAS 5.0.3 model is well developed and the models generated by the software are realistic, very easy to use, and highly accepted in the hydraulics community [14]. Hydraulic modeling using the HEC-RAS model with ArcGIS 10.8 software makes the modeling process easy and produces accurate and easy-to-understand flood results [15]. In the recent literature, one of the most recent methods of mapping flood subdivisions is the use of GIS integrated with hydraulic and hydrological models, as was done in [16,17,18,19,20,21], among others.
Moreover, there have been a large number of studies related to floods and their economic and social consequences around the world. Among these studies, we mention one that dealt with the exposure of the city of Hong Kong, located on the southeastern coast of China, to the combined risks of floods caused by heavy rainstorms and extreme sea levels; the study highlighted the urgent need to develop a multi-hazard flood risk management strategy [22]. Another study evaluated the impacts of flooding on social and economic activities in Oleh in the Southern Isoko Local Government Area, Delta State, Nigeria, where floods caused by both natural processes and human activities cause great environmental destruction, destroying lives, property, agricultural land, and social infrastructure. The study recommended the developing an early warning system for floods at the community level as well as educating the population about flood risks [3]. Floods caused by heavy rains and the melting of snow and glaciers in the Hindukush region of Pakistan caused social and economic damage; the water overflowed natural dams and caused huge losses in lives, homes, agricultural land, permanent crops, and other property. Based on the analysis of research results, proper attention to the environmental aspects of unchecked deforestation and degradation of rangelands and watersheds can represent a sustainable strategy for managing flood risk management [23]. Studying the impact of floods on the social and economic situation in Uttarakhand’s Chamoli district, India, where Uttarakhand faces the problem of cloud explosions that cause flash flooding affecting agriculture, employment, education, infrastructure, health, water, and hydroelectric power projects, another paper recommended the formulation of a disaster management system can reduces the effects of disasters and ensure the evacuation, relief, and rehabilitation of disaster victims quickly and efficiently [24]. A comprehensive analysis of floods that occurred in Turkey during the period from 2014 to 1960 was carried out. These floods were the result of climatic changes and the resulting heavy rains, and caused great human and economic losses while constituting a major obstacle to sustainable development. The study recommended that stakeholders and decision-makers establish better mitigation measures based on clear definitions of risk, classification of flood events, and consistent loss estimates [25].
In the present paper, our study area has been exposed to many floods over time as a result of the high water levels within the course of the Khazir River. Among them, we mention several recent floods that affected areas near the banks of the river during the twentieth century as a result of rainstorms that lasted for more than two days, especially in the year 2013, when the river discharge reached 372.15 m3/s, and in 2018, with a river discharge of 506.16 m3/s [18]. These floods had a wide variety of economic and social impacts on the people of the river basin. They caused the closure of many transportation routes between scattered villages on both sides of the river, power outages, the closure of schools for both students and teachers, destruction of crops, the demolition of some homes, the spread of diseases, and the drowning of livestock. Therefore, in the current study we have conducted an interpretation and spatial–temporal analysis of these floods to assess their effects on society and economic activities in order to prevent flooding or reduce related risks through proper planning and effective preparation with the use of modern scientific methods and techniques.
This paper uses an interdisciplinary approach to analyze the social and economic impacts of increased flood events and reduce their risks. The first part of the research began with a field study of the study area to identify the morphology of the Khazir River, followed by a theoretical analysis of the rise in water levels within the river’s course and its relationship to the occurrence of floods. The field study included personal interviews with residents of villages exposed to floods to identify and evaluate the social and economic problems that floods cause. The second part of the study dealt with proposing a set of engineering solutions to control floods and reduce their impacts on areas near the riverbed. The highlights of the research are:
  • Socio-economic activities in the Khazir River basin are affected by flooding;
  • Hydraulic structures (bridges, concrete banks, and dam) are designed according to various discharges that cause floods;
  • A number of hydraulic designs of the riverbed are modeled and simulated according to different scenarios using HEC-RAS 5.0.3 software;
  • Improved engineering solutions and recommendations are suggested to improve flood control and resilience.

2. Materials and Methods

2.1. Site Discription

The Khazir River basin is located northeast of the city of Mosul in northern Iraq, with geographical coordinates 36°07′0″ to 37°03′0″ north latitude and 43°03′0″ to 43°57′0″ east longitude (Figure 1). The area of the studied basin is 3290.08 km2. The basin can be divided according to topographical characteristics into a group of units: high mountains, hills, plains, and valleys. The maximum elevation is 2201 m above mean sea level (AMSL) in the north, while the minimum elevation is 221 m in the south. Climatic data were collected from six meteorological stations covering the study area. The climatic conditions indicate cold rainy winters and hot dry summers. The average annual rainfall in the period from 2003–2022 was 252.55 mm, while the average annual temperature was 21.49 °C.

2.2. Datasets Used in the Study

Interpreting and analyzing floods in any region requires a large amount of data in order to interpret and analyze flooding, evaluate its effects, and reduce risks in the future (Table 1). For this, a set of data directly related to the occurrence of floods was used, in particular the digital elevation model (DEM), which provides a clear explanation of the topography of the basin and its degrees of slope. Satellite images from the Sentinel-2 satellite were used to identify the classes of land use and the classes most affected by flood waves. We obtained data on the daily, monthly, and annual discharge of the water current and the water level within the riverbed from two measurement stations located on the stream: the first is upstream within the mountainous area, and the second is downstream in the plain area. Temperature and rainfall data were obtained from the NASA website (Figure 2). Rainfall is useful for determining the intensity and frequency of rainstorms that cause floods. In addition, we obtained information on the temporal and spatial records of flood occurrence from the governmental departments concerned with the subject, and conducted field visits, which consisted of 100 questionnaire forms, including many personal interviews with residents of the villages in the river basin.

2.3. Assessment of Social and Economic Damage

The methodology used in this part included a field survey and repeated visits to the villages most affected by the floods. Focus was placed on three villages that are frequently at risk of flooding, namely, Kazkan, Tal al-Laban, and Wardak. These three villages are located on plains with a low slope and are close to the mouth of the basin into which the water flows when its level rises during rainstorm periods, which last more than two days in most cases. This part of the study is based on visits to government departments concerned with the subject as well as qualitative data collected from people in the villages. The data were collected through questionnaire forms, which numbered 100, and personal interviews with residents during the post-flood period. The field survey covered the following topics: demographic information (Table 2), standard of living, and the impact of floods on agricultural crops, infrastructure, health, and animals.

2.4. Hydraulic Model

2.4.1. HEC-RAS 5.0.3 Software

The HEC-RAS hydraulic model was used to manage floods in the basin and limit or reduce their risks. This model was specifically designed for application in floodplain management and flood insurance studies. The hydraulic model is based on the Hydraulic Engineering Center’s River Analysis System [26,27]. This model performs one- and two-dimensional hydraulic calculations for an entire network of natural and artificial aqueducts [15]. The model is characterized by having an extension called HEC-GeoRAS that is added to the ArcGIS 10.8 software in order to draw the course of the river with the paths of the banks and streams as well as the cross-sections of the watercourse. In the current study, the HEC-RAS model was used to draw engineering structures along the course of the river, such as bridges, culverts, banks, and dams, in seeking to avoid and control the problem of flooding.
In this research, there three stages were mainly used to draw engineering structures along the course of the river, as follows:
  • Stage 1: Create the geometric layers of the river through the HEC-GeoRAS extension in the ArcGIS 10.8 software, then export these layers to the HEC-RAS 5.0.3 software.
  • Stage 2: Using HEC-RAS 5.0.3 software, the generated geometric layers are imported into ArcGIS and the values of the Manning coefficient for the river banks, the volume of discharge, and the water depth of the river are added.
  • Stage 3: Engineering structures on the are created riverbed after selecting the appropriate location and required dimensions.

2.4.2. Flow Equations for HEC-RAS 5.0.3 Software

The water surface profiles in HEC-RAS software are calculated from one cross-section to another by solving the energy equation for a body of water surrounded by two cross-sections at locations 1 and 2, as detailed in Equation (1):
h 2 + Z 2 + α 2 V 2 3 2 g = h 1 + Z 1 + α 1 V 1 3 2 g + h e ,
where h = water depth at the cross-sections, Z = elevation of the river inverts, V = average velocity, α = velocity weighting coefficient, g = gravitational acceleration, and he is the energy head loss. The energy head loss between cross-sections 1 and 2 is comprised of the friction losses and the contraction and expansion losses, as detailed in Equation (2):
h e = L S f + C α 2 V 2 2 2 g α 1 V 1 2 2 g ,
where L = the distance between cross-sections 1 and 2 along the direction of the flow and Sf = the friction slope between two cross-sections, which is computed using the Manning equation as detailed in Equation (3):
Q = 1 n A R 2 / 3 S f 1 / 2 ,
where Q = flow discharge, n = Manning roughness coefficient, A = flow area, R = hydraulic radius (area/wetted perimeter), and C = expansion or contraction loss coefficient.

2.4.3. Input Data for HEC-RAS 5.0.3 Software

The data represent an essential and important component of studies related to hydrological and hydraulic model simulations. The data entered into the HEC-RAS 5.0.3 software included the following: the digital elevation model (DEM), the cross-sections of the course of the river and its banks, the studied length of the course drawn in ArcGIS 5.0.3 software, the maximum amounts of rain during the rainstorms that caused floods in the years 2013 and 2018, the maximum discharge volume, the rise in the water level in the river channel, and the value of the Manning coefficient for the banks of the river, along with the appropriate dimensions of the engineering hydraulic installations designed within the riverbed.
The study methodology is summarized in Figure 3, which represents a flow chart for assessing the social and economic impacts of flood risks. We considered the spatiotemporal information of the 2013 and 2018 floods and proposed two new scenarios representing river discharges. Then, these four scenarios were entered into the HEC-RAS 5.0.3 software to propose a set of engineering structures built on the riverbed. These structures aimed to address and solve the problem of recurrent floods that areas near the riverbed are exposed to, prevent their occurrence, and reduce their effects in the future.

3. Results and Discussion

There is a big difference between the past and the present with regard to natural disasters (earthquakes, volcanoes, floods, landslides, etc.). In the past, society viewed natural disasters as unavoidable events; however, today, thanks to the news spread by the media and social communication, people are less inclined to think about the serious social and economic consequences of inevitable extreme weather events. The media displaying images of natural hazards that occur on the surface of the earth reinforces the idea in society that these devastating events are less rare now than before, and that natural disasters are inevitable in the future [28]. Nearly 30 years ago, economic studies began to investigate and reveal the magnitude of the costs of natural disasters [8]. Many studies have found that natural disasters harm economic growth in the short term, while the results on the long-term effects are inconclusive [29].

3.1. Impact of Floods on the Study Area

The extent of the damage caused by flooding in the Al-Khazir River basin varied due to the difference in the severity of the floods from one region to another; it was most severe in the southern parts, that is, in the plains close to the mouth of the basin, while the mountainous and hilly northern highlands did not witness any floods due to the elevation of the land surface. The matching of the flood map for the years 2013 and 2018 with the land uses map of the study area (Figure 4) shows that agricultural crop lands are most affected by floods, followed by vegetation and residential buildings, then barren lands (Table 3). Based on the questionnaire forms, all the floods recorded in the study area occurred during the months that witnessed rainfall, especially the winter season (25%) and the spring season (75%). The water level rises within the course of the river and flows towards the banks, affecting the land near it. Floods have a great impact on the social and economic lives of residents of the villages near the riverbed. They affect infrastructure and services such as public and private buildings, road networks, electricity supply facilities, agricultural lands, and animals.

3.1.1. Damage to Residential Complexes

Most flood damage studies have focused on assessing the costs of buildings and contents for apartment complexes [30], while others have addressed property damage for public and private companies [31]. When estimating economic losses due to floods, flood depth and depth of flood infrastructure are required [32]. A group of villages in the Khazir River basin is exposed to the danger of flooding from year to year, as the villages consist of a large number of houses built of stone and cement and a small part made of stone and mud. The houses built of mud and stone have very little resistance to flooding, and as such are prone to collapse over time. The results of our field survey and analysis showed that several village houses built directly on the river bank or active floodplains are affected by danger of flooding because of water penetrating the houses and affecting their foundations, which led to some of them being exposed to cracking in the walls and others collapsing entirely. It can be noted from Figure 5 that the river paths vary between meandering and straight in the areas exposed to the risk of flooding, which indicates a variation in the size and speed of the water current, and thus a difference in the intensity of the flood wave and the damages resulting from it. Houses close to the straight riverbed are at greater risk than homes close to the meandering stream. Therefore, according to the perception of the researchers and to the results of this study, it is recommended that the villagers build their homes away from the riverbed and active floodplains in order to avoid the risk of flooding in the future.
Table 4 shows a difference in the level of exposure of homes, schools, dispensaries, enterprises, and shops to losses as well as the differences from one region to another within the villages. The floods caused some residents to migrate from their homes to other safe areas farther from the danger of floods. The results of the questionnaire indicated that 75% of the reasons for buildings being exposed to floods mentioned their proximity to the river. Therefore, according to the perceptions of the researchers and the results of the study, it is recommended that villagers build their homes away from the riverbed and active floodplains to avoid the risks of flooding in the future.

3.1.2. Damage to Bridges and Roads

Land transportation is the most affected by floods, as most of the rural roads that connect residential settlements are laid on floodplains and are often unpaved dirt roads, making them highly vulnerable [6]. The movement of transport and connections between cities and villages can only be achieved by the presence of well-constructed roads and bridges. The study area is characterized by the presence of many roads and bridges that connect cities and villages. The monsoon valleys cut off the roads in many villages due to the high flow density. Several bridges were subjected to flooding and others collapsed as a result of the floods that occurred in the years 2013 and 2018 in the three villages of Kazkan, Tal al-Laban, and Wardak. This was due to poor planning during the construction of the bridges, not taking into account the topography of the land or the high water level, and the height of the bridge being insufficient to allow flood waters to pass through. The higher discharge of water along with its maximum hydraulic pressure at the bridge site and the destroyed load, including logs, were directly responsible for the destruction of the bridges. In addition, the collapsed bridges were formed of reinforced iron in a primitive and simple way, as opposed to strong concrete bridges able to resist high flood waves (Figure 6).
The roads and bridges in the three villages were greatly affected by flood waters; the bridges were exposed to breakage and collapse at a rate of 86.67% according to the results of the questionnaire. Several roads inside and outside the villages were exposed to being blocked by flood waters at a rate of 76.94% according to the residents of the villages. The floods additionally affected shopping traffic for village residents (see Table 5).

3.1.3. Damage to Agriculture and Livestock

Floods all over the world have a wide range of negative impacts on economic growth, especially in areas with a large population base where the force of the water surge harms the agricultural sector [33]. In any region, the agricultural sector is the main economic activity, and people earn their livelihood from it [34]. This sector is the most affected by flooding in the study area. Crop waterlogging is the most serious adverse effect of floods on agriculture, as crops cannot survive underwater for long periods of time [24]. Most of the residents of villages exposed to floods depend on agriculture for their daily sustenance, which includes both wheat and barley crops in a large proportion and winter vegetables in a very small percentage; the percentage of village residents owning agricultural land is approximately 42.22% (Table 6). Floods cause damage to crops, especially wheat and barley crops, as being submerged in water leads to their rotting and death as a result of flood water remaining within agricultural lands for a period of 1–3 days The previous floods caused great losses to farmers, which led to their reluctance to continue in the agricultural profession for fear of flood waters, which led to huge material losses in the field of agricultural production in general and family income in particular. Flood-affected agricultural lands lie directly on the banks of the river and active floodplains.
Livestock represent an important and integral part of the agricultural economy, and fall within the agricultural activities in the study area. The source of livelihood for the residents of the villages in the river basin varies between agriculture and animal husbandry, with livestock mostly divided between cows and sheep (Table 6). Material losses of livestock were recorded in the villages near the riverbed, where the flood wave caused the death of some animals and the spread of diseases in others, in addition to a shortage of fodder as a result of damage caused by the flood waters.

3.1.4. Damage to Health

The health costs caused by floods can be measured by the number of deaths and the spread of various diseases [8]. Floods pose a major challenge to the health care system [10] and cause a deterioration of the environment in terms of health as a result of the negative effects resulting from them. Flooding has long-term effects that are not generally seen immediately after a flood [3]. These effects include the spread of diseases among the population as a result of stress and trauma during and after the flood, which exacerbates the epidemiological effects and increases psychological and physical stress, anxiety, and depression. Floods pollute clean potable water through contamination of water supplies and mixing with water reservoirs formed behind dams as well as mixing with groundwater represented by wells, which results in unsanitary conditions and the spread of waterborne diseases [35]. Waterborne diseases include diarrhea, typhoid, scabies, cholera, malaria, dysentery, and others.
Access to medical care and medicines is a major concern in flood-affected villages. The villages in the study area are distinguished by their small health centers, which lack the medical equipment and medicines necessary to treat those sick and injured as a result of floods. According to the field survey of the study area, deaths were recorded in the selected villages during flood events of 2013 and 2018. Field monitoring and analysis revealed that the residents of the three villages were exposed to diarrheal disease as a result of their use of wells contaminated with flood water, as wells are the main source of water used by the residents of the villages in various aspects of life. In addition, the water and irrigation system is sometimes subjected to significant damage due to flooding.
In addition to the above, the results of the field survey based on questionnaires distributed to village residents indicated that the phenomenon of flooding is expected every year as a result of people’s awareness of the dangers in light of climate variability and the resulting rainfall. Because villages are exposed to recurring floods every year, some have taken simple preventive measures before they occur, in particular migrating to less dangerous areas, organizing people into groups for education and awareness about the dangers of floods via television and social media, and holding workshops and seminars. The results of our questionnaire indicate that the government and community support provided to families affected by the flood is very little, and is neither at the required level nor at the appropriate time.

3.2. Flood Prevention

Flood protection is a method or set of measures to prevent damage and eliminate loss of life and property in the future; plans for protection are made, necessary tools are chosen, and the economic viability of these plans is assessed in light of probable harm predictions. This depends on the strength of the flood waves and the population and properties at risk. The plans, strategies, tools, and software available to prevent problems and protect people from floods have been developed over many years. These methods can reduce the loss of life and property to a minimum [15]. Among the advanced modern software and technologies is HEC-RAS 5.0.3 software, which is used to control floods. It is an advanced computing technology that provides warnings about floods, controls water flow, and calculates the water surface section [36].
The main reasons for the occurrence of floods in the Khazir River basin are heavy rainfall, the poor drainage system, subsidence of the ground level, sedimentation in the drainage channels that leads to a decrease in their water capacity, the growth of shrubs and weeds and their introduction into the river channel, and the collision of the Khazir River with its mouth, represented by the Great Zab River, which reduces the speed of the water and causes it to collect in large areas, affecting the nearby villages. In order to reduce and control flooding, HEC-RAS 5.0.3 software was used to help prepare an integrated plan to control and mitigate floods in the river basin. In addition, the process of cleaning the course of the river from sediments, trees, shrubs, jungles, and waste and deepening and adjusting its course is one of the most important means of preserving its water capacity and preventing water from flowing towards neighboring lands, thereby preventing damage due to flood waters. The cleaning process involves the use of modern machines, especially excavators, bulldozers, and blades.
Flood losses can be reduced by controlling flood waters using a set of modern methods and software that allow the construction of structures along the course of the river, such as bridges, culverts, concrete banks, and dams, as described below.

3.2.1. Bridges

Bridges are one of the main river structures that have an important role in building and extending main and secondary roads, and many may be damaged due to floods [37]. Bridge collapses cause economic losses and can be responsible for human injuries and deaths [38]. Therefore, a number of factors must be studied when designing and building bridges, especially hydrological and hydraulic variables. Taking into account the geomorphology of the study area when choosing the location of the bridge design, the geomorphological conditions must be evaluated in order to analyze the stability of the water current. The geomorphological condition of the river is ensured by the meanders and lateral migration of the river channel. The bridge must be designed and built on a straight riverbed in order to facilitate the flow of the water current under it and avoid collision with the winding banks; thus, the water pool and its impact on the bridge when floods occur must be assessed.
The number of bridges built along the course of the Khazir River has decreased, compared to the population, creating a great obstacle to the movement of people, cars, and animals. These bridges were designed in a very primitive manner and were not studied in terms of hydrology, hydraulics, and geomorphology, which exposed some bridges to fracture and collapse during the years when floods occurred. HEC-RAS 5.0.3 software was used to make future predictions of quantitative changes in stream bed height due to changes in the stream characteristics (discharge, depth) and watershed. A model was developed for the design and construction of the first bridge between the villages of Kazkan and Tel al-Laban (Table 7) and the second bridge in the village of Wardak (Table 8). Then, four different scenarios were taken into account for the volume of water discharged to the riverbed (Table 9 and Table 10) in order to determine the extent of the effect of the volume of discharge causing floods on the bridge body in the future.
After modeling and simulations of the data were entered into the HEC-RAS 5.0.3 software, it was found that the two bridges designed over the course of the Khazar River were not affected by the flood waters of 2013 (PF1) or 2018 (PF2) or by the discharge waters of the two proposed scenarios, which were 700 m3/s (PF3) and 1000 m3/s (PF4), respectively (Figure 7 and Figure 8). This indicates the appropriateness of the choice of place for designing and building the bridge as well as the dimensions with respect to different sizes of flood waves.

3.2.2. Culverts

Culverts are an important hydraulic structure used to manage natural and artificial canals. The culvert hydraulics in HEC-RAS 5.0.3 software are based on standard equations issued by the Federal Highway Administration [39]. HEC-RAS has the ability to design multiple models in one location within a water channel. Culverts can have different shapes, sizes, heights, and loss coefficients [27]. Culvert procedures include the ability to design circular, box, pipe arch, ellipse, arch, low arch, high arch, and semi-circular varieties.
It was found from the results of the field survey of the study area that the Khazir River does not bear the construction of a culvert within its course due to the high amounts of discharge during floods, which leads to the breaking and collapse of any culvert in front of it as well as an increase in the width of the river. However, it is possible to design and construct a number of concrete culverts of suitable dimensions within the paved and dirt roads (Figure 9) where these roads were cut by the river flood waters and seasonal waters in the valleys. In this way, culverts could work to facilitate transportation and communication between villages and cities located within the watershed.

3.2.3. Concrete Banks

The river banks are sometimes exposed to collapse due to the rise and fall of the water level within the river channel as well as the fragility or lack of cohesion of the banks’ materials and the lack or absence of vegetation. There are two types of factors that lead to the collapse of the banks: natural factors (rainfall, river load, topography, vegetation cover, river twists, slopes, sedimentary components of the banks) and human factors, represented by gravel and sand quarries and other human activities related to the morphological changes of the river [40].
Taking care of the banks is one of the most important necessities in managing rivers to prevent flooding, as the banks protect the areas close to the river from floods caused by high discharges. There are two types of banks: the first is an earthen bank consisting of gravel, sand, and mud; rock blocks can be placed on top of it, to protect the bank from collapsing into the stream. The second type consists of a reinforced concrete bank with steel or iron inside it to protect the concrete from fracture; it has greater resistance than the first type, as the concrete is not affected by the force of water impact and keeps the bank from collapsing, unlike the dirt bank which is affected by the direction and speed of the water flow.
After repeated field visits to the study area, it was found that the banks of the Khazir River are in dire need of concrete barriers, specifically for the course of the river that passes between the villages of Kazkan and Tal al-Laban and for the course of the river in the village of Wardak, as a result of the collapse of large parts of the river banks within the mentioned villages. This caused the water to flow towards the residential complexes and drowned them with flood waters. The HEC-RAS program was used to design the banks of the river after taking into account the topography, slope, depth of the stream, and morphology of the river. In the designed model, the water discharges for four different scenarios (PF1 = 372.15, PF2 = 506.16, PF3 = 700, and PF4 = 1000) are in m3/s (Figure 10 and Figure 11).

3.2.4. Dam

Dams to control the course of rivers and other natural waterways are considered one of the oldest engineering structures known to man. The aim of building dams is to organize and manage the available water resources and provide for needs including drinking water, agriculture, industry, and other uses, with the aim of reducing recurring risks such as floods. The construction of water dams in vulnerable locations directs the river and reduces the risk of flooding [23]. Dams are divided into two main types depending on the material constituting the dam. The first type is concrete, usually reinforced concrete. When building this type of dam, it is required that the rocks and the underlying soil bear the enormous pressure resulting from the weight of the concrete. The second type is represented by earthen dams, which consist mainly of gravel or rubble in addition to sand, although in all cases this barrier mass is lined with a cement layer. This type of dam is characterized by its relatively low construction cost compared to concrete dams, and its construction does not require huge substructures; however, this makes it more prone to cracking or collapse compared to the first type [41].
When planning and designing dams on riverbeds, it is necessary to take into account a set of basic factors such as geomorphology, geology, hydrogeology, soil, topography, and slope. The upstream and downstream hydrological conditions must be considered and investigated in order to determine the negative impacts on lands threatened by flood waters with regard to agricultural and environmental aspects [42,43,44,45]. The purpose of the dam’s design is to control the frequent floods that the villages in the lower part of the river basin are exposed to, as the discharge of the river water coming from the high mountainous areas can be controlled during the rainy seasons. The storage of the accumulated discharge is then utilized in the dry seasons, especially during the summer.
The proposed dam was designed based on the HEC-RAS 5.0.3 software by defining all its engineering features. The dam is proposed on the course of the Khazir River, considering the factors mentioned above, and is confined between two hills with a height of (278–280) meters above sea level. In the proposed dam model, the water discharges for four the different scenarios (PF1 = 372.15, PF2 = 506.16, PF3 = 700, and PF4 = 1000) are in m3/s (Table 11). The dam contains three lower outlets used to drain excess water from the reservoir formed behind it, and contains a spillway that works to evacuate the flood wave from the reservoir and keep the dam from collapsing from the great water pressure on it. The general equation for spillway flow through a lower gate can be applied using Bernoulli’s equation, as follows:
Q g a t e = C d . w . B . 2 g H ,
where Qgate = discharge (spillway gate flow); Cd = coefficient of discharge, typically 0.5–0.7; w = vertical opening of the gate; B = gate width; g = gravitational constant; and H = a head term.
There is a close relationship between the storage and outflow of the tank with the water drainage gates, which depends on the number of gates proposed. The total spillway discharge (Qsp) of the three gates of the proposed dam can be calculated as detailed in Equation (5).
Q s p = Q g a t e 1 + Q g a t e 2 + Q g a t e 3 ,
Figure 12 shows the cross-section of the proposed dam on the riverbed along with the drainage channels and control gates. The dam begins to drain excess water through the spillway when the river’s discharge reaches 1000 m3/s.

4. Conclusions

Flood risk assessment is a vital tool for the predictive planning of adaptation measures based on risk analysis. This article has concluded that the villages located in the lower part of the Khazir River basin are vulnerable to the negative effects of the floods, which have led to the deterioration of their economic and social status. The study area has witnessed frequent floods in the villages near the course of the river, with each of the villages of Kazkan, Tel al-Laban, and Wardak being exposed to floods that caused severe damage to buildings, infrastructure, agricultural crops, livestock, and other property. Floods on the Khazir River are considered a seasonal phenomenon, as the results of our analysis revealed that winter and spring monsoon rains during the months of January, February, March, and April were responsible for the increase in the discharge of the river, the occurrence of floods, and the resulting damage along its course. Residents of the floodplains were found to have built and rebuilt their homes in flood-prone areas without regard to future flood risks. Those houses built with mud and stone were badly damaged due to their lack of resistance to flood events, and it was noted that most of the damage was due to the encroachment of the villages along the banks of the river. The results of our analysis of 100 questionnaires indicated that floods are an expected and recurring phenomenon in the study area and that they occur every year, with varying degrees of damage and losses from year to year and from one region to another.
The 2013 flood covered an area of 10,371.98 m2, while the 2018 flood covered an area of 10,963.45 m2. The flooded areas were estimated using HEC-RAS 5.0.3 software. The areas of different land uses (bare land, cropland, built area, vegetation) exposed to the flooding were varied. Based on the results of the questionnaire, 50.55% of the respondents indicated that their homes were sometimes exposed to flooding that caused them to migrate and leave their homes for fear of flood dangers. According to the results of the questionnaire and the opinion of village residents, bridges were broken and collapsed at a rate of 86.67% and some roads inside and outside the villages were exposed to torrential waters at a rate of 76.94%, respectively. Moreover, 63.05% of respondents indicated that water remained within agricultural lands for three days, causing damage to crops, and that wheat and barley crops were more affected by floods than other crops. The results of our field study indicated that some village residents were exposed to diseases and even death as a result of drowning in flood waters.
The next part of the study addressed the challenges facing flood management and proposed a set of new solutions, methods, models, and tools to understand and improve flood resilience. HEC-RAS 5.0.3 software was used as a means to protect the river basin from recurrent floods. The steps of the methodology in HEC-RAS consisted of evaluating hydrological events (risks), modelling, and simulating river behavior by calculating river discharge variables according to four different scenarios (PF1 = 372.15, PF2 = 506.16, PF3 = 700, and PF4 = 1000) in m3/s. In addition, we included these scenarios in the engineering and hydraulic designs proposed along the course of the river. The first scenario was the 2013 flood, the second scenario was the 2018 flood, and the third and fourth scenarios were theoretical scenarios proposed for this research. The hydraulic structures (bridges, concrete banks, and dam) were designed according to the four proposed flood discharges and the results of the field surveys. A group of culverts were constructed along both paved and dirt roads as an important means of movement between villages and towns within the watershed. After analyzing the results of modeling and simulation, it was found that the proposed hydraulic facilities were not affected by any of the water discharges resulting from the floods.
The velocity of the water current differed in the two cross-sections of the two proposed bridges on the riverbed, as the velocity of the water current ranged from 2.235 m/s in scenario PF1 to 3.040 m/s in scenario PF4 for the first bridge and from 1.4 m/s in scenario PF1 to 2.68 m/s in scenario PF4 for the second bridge. This is due to the water velocity decreasing downstream as a result of the decrease in slope, which is between 0.006 at the first bridge and 0.001 at the second. The proposed concrete banks were compatible with the river discharges for all four scenarios (PF1, PF2, PF3, and PF4) with respect to the height, thickness, and slope of the banks towards the river bed. The water surface levels of the reservoir formed behind the proposed dam varied, and was 273.8 m in scenario PF1, 274.1 m in scenario PF2, 274.3 m in scenario PF3, and 275.2 m in scenario PF4 at sea level. The spillway begins to discharge water in scenario PF4, which represents the maximum discharge of the river, because the dam body cannot withstand the force of water pressure in front of it, which increases with the increase in the volume of water.
This study recommends the creation of an advanced warning system in the proposed dam which is linked to a sensor network with a direct connection to the river discharge data measuring devices. This system could provide signals to the responsible authorities about any rise in the river’s water level in the event of possible flooding and provide information and advice to people in order to evacuate to a safe place and avoid the risk of flooding. It further recommends that government agencies concerned with the matter educate people not to reside and cultivate on the banks of the river, to move residential complexes that are already located at the edges of the riverbed to safer areas, and to provide alternative land away from the danger of floods.

Author Contributions

Conceptualization, A.A.M.A.-H., Y.H. and S.B.; methodology, A.A.M.A.-H., Y.H., S.B. and S.H.; software, A.A.M.A.-H., Y.H. and S.H.; validation, all authors; formal analysis, all authors; investigation, A.A.M.A.-H., Y.H. and S.B.; resources, A.A.M.A.-H., Y.H. and S.B.; data curation, Y.H., S.H. and S.B.; writing—original draft preparation, A.A.M.A.-H., Y.H. and S.B.; writing—review and editing, S.H., W.H. and A.M.A.; visualization, S.B., S.H., A.M.A. and W.H.; supervision, S.B., W.H. and A.M.A.; project administration, S.H., S.B., W.H. and A.M.A.; funding acquisition, A.M.A. 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 contained within the article.

Acknowledgments

Firstly, the researchers would like to acknowledge the Deanship of Scientific Research, Taif University for funding this work. Secondly, the researchers would like to thank the people of the flood-affected villages for their great cooperation in making available information related to the damage caused by the floods.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ogras, S.; Onen, F. Flood Analysis with HEC-RAS: A Case Study of Tigris River. Adv. Civ. Eng. 2020, 2020, 6131982. [Google Scholar] [CrossRef]
  2. Kimura, Y.; Hirabayashi, Y.; Kita, Y.; Xudong Zhou, X.; Yamazaki, D. Methodology for constructing a flood-hazard map for a future climate. Hydrol. Earth Syst. Sci. 2023, 27, 1627–1644. [Google Scholar] [CrossRef]
  3. Otomofa, J.O.; Okafor, B.N.; Obienusi, E.A. Evaluation of the Impacts of Flooding on Socio-Economic Activities in Oleh, Isoko South Local Government Area, Delta State. J. Environ. Earth Sci. 2015, 5, 155–171. [Google Scholar]
  4. Yusuf, M.B.; Gabriel, A.T.; Bwadi, E.B.; Maima, O.A.; Ralp, M.M.; Ishaku, A.R. Socio-Economic Effect of Flooding in Karim-Lamido Local Government Area of Taraba State Using Gis Technique. Afr. J. Soc. Sci. Humanit. Res. 2023, 6, 49–78. [Google Scholar] [CrossRef]
  5. Bubeck, P.; Otto, A.; Weichselgartner, J. Societal Impacts of Flood Hazards. Oxf. Res. Encycl. Nat. Hazard Sci. 2017, 1–26. [Google Scholar] [CrossRef]
  6. Abubakar, B.; Umar, H.; Barde, M.M.; Adamu, S. Socio-economic Impact of Flooding on the Riverine Communities of River Benue in Adamawa State, Nigeria. FUTY J. Environ. 2020, 14, 116–124. [Google Scholar]
  7. Stanković, J.; Tomić, Z.; Stanković, J. Socio-economic Impact of Natural Disasters in the Republic of Serbia. Econ. Anal. 2020, 53, 20–38. [Google Scholar] [CrossRef]
  8. Allaire, M. Socio-economic impacts of flooding: A review of the empirical literature. Water Secur. 2018, 3, 18–26. [Google Scholar] [CrossRef]
  9. Parida, Y. Economic impact of floods in the Indian states. Environ. Dev. Econ. 2019, 25, 267–290. [Google Scholar] [CrossRef]
  10. Manzoor, Z.; Ehsan, M.; Khan, M.B.; Manzoor, A.; Akhter, M.M.; Sohail, M.T.; Hussain, A.; Shafi, A.; Abu-Alam, T.; Abioui, M. Floods and flood management and its socio-economic impact on Pakistan: A review of the empirical literature. Front. Environ. Sci. 2022, 10, 1021862. [Google Scholar] [CrossRef]
  11. Wicaksono, B.B.; Heri Satrianto, H.; Wibowo, F.X.P.; Kusnawan, A.; Hernawan, E. Pemberdayaan Sosial Ekonomi Masyarakat Di Daerah Rawan Banjir (Studi Kasus Banjir di Kecamatan Periuk Kota Tangerang). J. Pengabdi. Masy. 2023, 7, 59–64. [Google Scholar] [CrossRef]
  12. Zainudini, M.A.; Sardarzaei, A. Flood causes, consequences, protection, measures and management in Kaserkand, Sarbaz and Dashtyari Districts, Makoran, Iran. Glob. J. Eng. Technol. Adv. 2022, 10, 94–102. [Google Scholar] [CrossRef]
  13. Awad, T.; Bansode, M.; Chavan, R.; Bhise, R.; Shivamurti, B.K. Flood Management by Using HEC-RAS software. Int. Res. J. Mod. Eng. Technol. Sci. 2022, 4, 148–154. [Google Scholar]
  14. Ahmad, H.F.; Alam, A.; Bhat, M.S.; Ahmad, S. One Dimensional Steady Flow Analysis Using HEC-RAS—A case of River Jhelum, Jammu and Kashmir. Eur. Sci. J. 2016, 12, 340–350. [Google Scholar] [CrossRef]
  15. Rangari, V.A.; Sridhar, V.; Umamahesh, N.V.; Patel, A.K. Floodplain Mapping and Management of Urban Catchment Using HEC-RAS: A Case Study of Hyderabad City. J. Inst. Eng. (India) Ser. A 2018, 100, 49–63. [Google Scholar] [CrossRef]
  16. Khaleghi, S.; Mahmoodi, M.; Karimzadeh, S. Integrated application of HEC-RAS and GIS and RS for flood risk assessment in Lighvan Chai River. Int. J. Eng. Sci. Invent. 2015, 4, 38–45. [Google Scholar]
  17. Dysarz, T.; Wicher-Dysarz, J.; Sojka, M. Assessment of the Impact of New Investments on Flood Hazard-Study Case: The Bridge on the Warta River near Wronki. Water 2015, 7, 5752–5767. [Google Scholar] [CrossRef]
  18. AL-Hussein, A.A.M.; Khan, S.; Ncibi, K.; Hamdi, N.; Hamed, Y. Flood Analysis Using HEC-RAS and HEC-HMS: A Case Study of Khazir River (Middle East—Northern Iraq). Water 2022, 14, 3779. [Google Scholar] [CrossRef]
  19. Čepienė, E.; Dailidytė, L.; Stonevičius, E.; Dailidienė, I. Sea Level Rise Impact on Compound Coastal River Flood Risk in Klaipėda City (Baltic Coast, Lithuania). Water 2022, 14, 414. [Google Scholar] [CrossRef]
  20. Popescu, C.; Bărbulescu, A. Floods Simulation on the Vedea River (Romania) Using Hydraulic Modeling and GIS Software: A Case Study. Water 2023, 15, 483. [Google Scholar] [CrossRef]
  21. Dysarz, T.; Kałuża, T.; Mickevičius, K.; Veigneris, J.; Zawadzki, P.; Kujawiak, S.; Zaborowski, S.; Wicher-Dysarz, J.; Walczak, N.; Nieć, J.; et al. Application of Physical and Numerical Modeling for Determination of Waterway Safety under the Bridge in Kaunas City, Lithuania. Water 2023, 15, 731. [Google Scholar] [CrossRef]
  22. Lai, Y.; Li, J.; Chen, Y.D.; Chan FK, S.; Gu, X.; Huang, S. Compound floods in Hong Kong: Hazards, triggers, and socio-economic consequences. J. Hydrol. Reg. Stud. 2023, 46, 101321. [Google Scholar] [CrossRef]
  23. Atta-ur-Rahman; Khan, A.N. Analysis of flood causes and associated socio-economic damages in the Hindukush region. Nat. Hazards 2011, 59, 1239–1260. [Google Scholar] [CrossRef]
  24. Negi, P.; Yadav, S.; Ram, C. An Impact of Flood on Socio-Economic Status—A Case Study of Sample Villages in Joshimath Block, Uttarakhand. Towards Excell. 2022, 14, 44–55. [Google Scholar] [CrossRef]
  25. Koc, G. A Comprehensive Analysis of Severe Flood Events in Turkey. Ph.D. Thesis, Institute for Environmental Science and Geography, Faculty of Science, University of Potsdam, Potsdam, Germany, 2021. [Google Scholar]
  26. HEC-RAS. USACE, Version 5.0.; Reference Manual; CPD-68; US Army Corps of Engineers, 2016. Available online: https://www.hec.usace.army.mil/software/hec-ras/documentation/HEC-RAS%205.0%20Users%20Manual.pdf (accessed on 3 December 2023).
  27. HEC-RAS. USACE, Version 6.0.; Reference Manual; CPD-68; US Army Corps of Engineers, 2023. Available online: https://www.hec.usace.army.mil/software/hec-ras/documentation/HEC-RAS%20User’s%20Manual-v6.4.1.pdf (accessed on 3 December 2023).
  28. Lastoria, B.; Simonetti, M.R.; Casaioli, M.; Mariani, S.; Monacelli, G. Socio-economic impacts of major floods in Italy from 1951 to 2003. Adv. Geosci. 2006, 7, 223–229. [Google Scholar] [CrossRef]
  29. Cavallo, E.; Noy, I. Natural disasters and the economy—A survey. Int. Rev. Environ. Resour. Econ. 2011, 5, 63–102. [Google Scholar] [CrossRef]
  30. Elmer, F.; Hoymann, J.; Düthmann, D.; Vorogushyn, S.; Kreibich, H. Drivers of flood risk change in residential areas. Nat. Hazards Earth Syst. Sci. 2012, 12, 1641–1657. [Google Scholar] [CrossRef]
  31. Tierney, K.J. Businesses and Disasters: Vulnerability, Impacts, and Recovery. In Handbook of Disaster Research. Handbooks of Sociology and Social Research; Springer: New York, NY, USA, 2007. [Google Scholar] [CrossRef]
  32. Mubialiwo, A.; Abebe, A.; Kawo, N.S.; Ekolu, J.; Nadarajah, S.; Onyutha, C. Hydrodynamic Modelling of Floods and Estimating Socio-economic Impacts of Floods in Ugandan River Malaba Sub-catchment. Earth Syst. Environ. 2022, 6, 45–67. [Google Scholar] [CrossRef]
  33. Bang, H.N.; Miles, L.; Gordon, R. Enhancing local livelihoods resilience and food security in the face of frequent flooding in Africa: A disaster management perspective. Afr. Stud. Dev. 2018, 10, 85–100. [Google Scholar] [CrossRef]
  34. Mahmood, S.; Khan, A.; Mayo, S.M. Exploring underlying causes and assessing damages of 2010 flash flood in the upper zone of Panjkora River. Nat. Hazards 2016, 83, 1213–1227. [Google Scholar] [CrossRef]
  35. Adeloye, A.; Rustum, R. Flooding and Influence of Urban Planning in Nigeria. J. Urban Des. Plan. 2011, 164, 173–187. [Google Scholar] [CrossRef]
  36. Modak, S.; Nagarnaik, P. Flood Control and Prediction of Flood Using HEC-RAS—A Review. Int. J. Sci. Res. 2015, 6, 716–718. [Google Scholar]
  37. Mousavi, F.; Daneshfaraz, R. Evaluating Various Factors in Calculation of Scour Depth around Bridge Piers using HEC-RAS software, CSU2001 and Froehlich Equations. J. Civ. Eng. Urban. 2013, 3, 398–402. [Google Scholar]
  38. Bento, A.M.; Gomesa, A.; Viseua, T.; Coutoa, L.; Pêgo, J.P. Risk-based methodology for scour analysis at bridge foundations. Eng. Struct. 2020, 223, 111115. [Google Scholar] [CrossRef]
  39. Federal Highway Administration (FHWA). Hydraulic Design of Highway Culverts, 3rd ed.; U.S. Department of Transportation in Environ, Science; Federal Highway Administration: Washington, DC, USA, 2012; Volume 10, p. 1021862.
  40. Sulaiman, M.A.M.; AL-Hussein, A.A.M. Stability of the banks of Alzab-Alkabir River in section (kalak-Safiyah). J. Surra Man Raa 2018, 14, 397–418. [Google Scholar]
  41. Bharath, A.; Shivapur, A.V.; Hiremath, C.G.; Maddamsetty, R. Dam break analysis using HEC-RAS and HEC-GeoRAS: A case study of Hidkal dam, Karnataka state, India. Environ. Chall. 2021, 5, 100401. [Google Scholar] [CrossRef]
  42. Bagatur, T.; Hamidi, N. Evaluation with stream characteristics of downstream flood problems after dam construction. J. Environ. Eng. Landsc. Manag. 2014, 22, 96–104. [Google Scholar] [CrossRef]
  43. Prasad, B.; Tiwari, H.L.; Gupta, S. Dam Break Flood Inundation Mapping of Umrar Dam Using HEC-RAS. In Proceedings of the 26th International Conference on Hydraulics, Water Resources and Coastal Engineering, Gujarat, India, 23–25 December 2021; pp. 169–181. [Google Scholar]
  44. Gül, G.O.; Harmancıoğlu, N.; Gül, A. A combined hydrologic and hydraulic modeling approach for testing efficiency of structural flood control measures. Nat. Hazards 2010, 54, 245–260. [Google Scholar] [CrossRef]
  45. Leal, M.; Reis, E.; Santos, P.P. Exploring spatial relationships between stream channel features, water depths and flow velocities during flash floods using HEC-GeoRAS and Geographic Information Systems. J. Geogr. Sci. 2022, 32, 757–782. [Google Scholar] [CrossRef]
Figure 1. Geographical location of the Khazir River basin.
Figure 1. Geographical location of the Khazir River basin.
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Figure 2. Average annual temperatures and total rainfall in the study area.
Figure 2. Average annual temperatures and total rainfall in the study area.
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Figure 3. Methodology flow chart.
Figure 3. Methodology flow chart.
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Figure 4. Impact of floods on land use: (a) 2013 flood and (b) 2018 flood.
Figure 4. Impact of floods on land use: (a) 2013 flood and (b) 2018 flood.
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Figure 5. Villages most affected by floods: (a) Kazkan and Tal al-Laban; (b) Wardak.
Figure 5. Villages most affected by floods: (a) Kazkan and Tal al-Laban; (b) Wardak.
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Figure 6. A view of bridges damaged by (a) the 2013 flood and (b) the 2018 flood.
Figure 6. A view of bridges damaged by (a) the 2013 flood and (b) the 2018 flood.
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Figure 7. Transverse sectional profiles for the bridge at Kazkan and Tel al-Laban.
Figure 7. Transverse sectional profiles for the bridge at Kazkan and Tel al-Laban.
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Figure 8. Transverse sectional profiles for the bridge at Wardak.
Figure 8. Transverse sectional profiles for the bridge at Wardak.
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Figure 9. Typical circular concrete culvert.
Figure 9. Typical circular concrete culvert.
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Figure 10. Concrete banks of the river between the villages of the Kazkan and Tel al-Laban.
Figure 10. Concrete banks of the river between the villages of the Kazkan and Tel al-Laban.
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Figure 11. Concrete banks of the river at the village of Wardak.
Figure 11. Concrete banks of the river at the village of Wardak.
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Figure 12. The proposed dam on the course of the Khazir River.
Figure 12. The proposed dam on the course of the Khazir River.
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Table 1. Input data used in the study.
Table 1. Input data used in the study.
No.DataInformationResources
1RainfallData for the years 2003–2022NASA
2TemperatureData for the years 2003–2022NASA
3DEMSTRM, 14 m resolutionUSGS www.usgs.gov (accessed on 25 May 2022)
4Topographic mapPaper map, 1:250,000 scaleIraqi Armed Forces, Military area
5Land use imageLULC, 10 m resolutionSentinel-2
7Discharges and depths of the Khazir RiverData for the years 2004–2022Duhok Irrigation, Directorate/Iraq
8Field surveyHistory of basin floodsGovernment departments and personal interviews
Table 2. Demographic analysis of respondents from the villages.
Table 2. Demographic analysis of respondents from the villages.
PropertiesKazkan VillageTal al-Laban VillageWardak Village
GenderMaleNumberPercent (%)NumberPercent (%)NumberPercent (%)
Female2583.33301003895
Age>18516.670025
18–25000000
26–3526.6713.3325
36–451136.6621701127.5
>45826.676201537.5
Uneducated93026.671230
EducationPrimary13.3313.33410
Secondary516.679302562.5
Tertiary413.330037.5
Male2066.672066.67820
Table 3. Area and percentage of flood impact on different land use categories.
Table 3. Area and percentage of flood impact on different land use categories.
No. 2013 Flood2018 Flood
Land UseRankArea (m2)Percentage (%)Area (m2)Percentage (%)
1Bare landVery low62.8640.60637.0120.338
Low57.310.55260.6370.553
Medium38.1210.36872.4850.661
High5.8090.0565.4480.05
Very high24.4850.23623.6210.215
2Crop landVery low2188.59721.1012058.07918.772
Low2384.20722.9872263.88620.649
Medium1910.2418.4172501.3722.816
High344.9723.326350.4363.196
Very high1253.42312.0851305.05411.904
3Built areaVery low429.1664.138178.1111.625
Low284.7312.745471.2264.298
Medium170.2221.641301.2432.748
Very high33.4750.32342.7380.39
4VegetationVery low358.9443.461283.8112.589
Low303.6862.928415.1493.785
Medium266.3632.568341.8133.118
High29.8580.28827.4690.251
Very high225.5092.174223.8672.042
Table 4. Damage analysis of buildings by respondents from the villages.
Table 4. Damage analysis of buildings by respondents from the villages.
BuildingsKazkan VillageTal al-Laban VillageWardak Village
NumberPercent (%)NumberPercent (%)NumberPercent (%)
The level of exposure of homes to lossesNever413.3318603075
Sometimes2686.6712401025
Always000000
The level of exposure of schools and dispensaries to lossesNever1136.67723.3340100
Sometimes1963.332273.3300
Always0013.3400
The level of exposure of enterprise and shop to lossesNever413.331653.333280
Sometimes24801240820
Always26.6726.6700
Is there migration due to buildings being exposed to floods?Yes516.672376.673587.5
No2583.33723.33512.5
What are the causes of buildings being exposed to floods?Living near the river1963.332376.673382.5
Poverty26.670012.5
Lack of alternative livelihoods930723.33615
Table 5. Damage analysis of bridges and roads for respondents from the villages.
Table 5. Damage analysis of bridges and roads for respondents from the villages.
Bridges and RoadsKazkan VillageTal al-Laban VillageWardak Village
NumberPercent (%)NumberPercent (%)NumberPercent (%)
Did the floods affect traffic in and out of the village?Yes1343.3327903997.5
No1756.6731012.5
Did the floods affect the village bridges?Yes18603010040100
No12400000
How accessible is the market by roads?Easy15502273.33512.5
Passable1240516.672972.5
difficult310310615
Table 6. Analysis of damage to agriculture and livestock by respondents from the villages.
Table 6. Analysis of damage to agriculture and livestock by respondents from the villages.
Agriculture and LivestockKazkan VillageTal al-Laban VillageWardak Village
NumberPercent (%)NumberPercent (%)NumberPercent (%)
Do you own agricultural lands?Yes6201136.672870
No24801963.331230
Do you consume crops (wheat, barley)?Yes2583.331756.672460
No516.671343.331640
What crops are most affected by the flood?wheat9301343.332152.5
barley21701756.671947.5
How long does water remain on agricultural land?One day186031037.5
Two days310413.33410
Three days9302376.673382.5
What animals (livestock) do you own?Sheep1550413.33512.5
Cows1033.3326.671230
I don’t have516.6724802357.5
Did the floods affect livestock?Yes12401136.672767.5
No18601963.331332.5
Did the floods affect livestock feed storage?Yes1343.33516.672255
No1756.672583.331845
Table 7. Geometry parameters of the Kazkan and Tel al-Laban bridge.
Table 7. Geometry parameters of the Kazkan and Tel al-Laban bridge.
Chord DataBridge Dimensions (m)
UpstreamDownstream
StationHigh ChordLow ChordStationHigh ChordLow ChordLengthWidthHeightThickness
70025325170025325115020102
850253251850253251
Table 8. Geometry parameters of the Wardak bridge.
Table 8. Geometry parameters of the Wardak bridge.
Chord DataBridge Dimensions (m)
UpstreamDownstream
StationHigh ChordLow ChordStationHigh ChordLow ChordLengthWidthHeightThickness
52024924752024924715020102
670249247670249247
Table 9. Cross-section characteristics of the Kazkan and Tal al-Laban bridge at four different discharges.
Table 9. Cross-section characteristics of the Kazkan and Tal al-Laban bridge at four different discharges.
No.Discharge (m3/s)W.S. Elev. (m)Vel. Total (m/s)Max. Chl. Depth (m) Vel. Head (m)E.G. Slope (m/m)Min. Ch. El. (m)
PF1372.15 (2013 Flood)246.2702.2352.6350.3000.007243.635
PF2506.16 (2018 Flodd)246.5702.5052.9350.3750.006243.635
PF3700 (Suggested scenario)246.9502.8103.3150.4600.006243.635
PF41000 (Suggested scenario)247.5003.0403.8650.5200.005243.635
Table 10. Cross-section characteristics of the Wardak bridge at four different discharges.
Table 10. Cross-section characteristics of the Wardak bridge at four different discharges.
No.Discharge (m3/s)W.S. Elev. (m)Vel. Total (m/s)Max. Chl. Depth (m) Vel. Head (m)E.G. Slope (m/m)Min. Ch. El. (m)
PF1372.15 (2013 Flood)241.9051.42.970.100.001238.930
PF2506.16 (2018 Flodd)242.1201.713.150.150.001238.930
PF3700 (Suggested scenario)242.3702.1053.440.2250.001238.930
PF41000 (Suggested scenario)242.6552.683.7250.370.002238.930
Table 11. Characteristics of the proposed dam with the four discharges.
Table 11. Characteristics of the proposed dam with the four discharges.
No.Discharge (m3/s)W.S. Elev. (m)Dam Length (m)Dam Width (m)Dam Height (m)Gate (m)Spillway (m)
HeightWidthHeightWidth
PF1372.15 (2013 Flood)273.8900100101.550150
PF2506.16 (2018 Flodd)274.1
PF3700 (Suggested scenario)274.3
PF41000 (Suggested scenario)275.2
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AL-Hussein, A.A.M.; Hamed, Y.; Bouri, S.; Hajji, S.; Aljuaid, A.M.; Hachicha, W. The Socio-Economic Effects of Floods and Ways to Prevent Them: A Case Study of the Khazir River Basin, Northern Iraq. Water 2023, 15, 4271. https://doi.org/10.3390/w15244271

AMA Style

AL-Hussein AAM, Hamed Y, Bouri S, Hajji S, Aljuaid AM, Hachicha W. The Socio-Economic Effects of Floods and Ways to Prevent Them: A Case Study of the Khazir River Basin, Northern Iraq. Water. 2023; 15(24):4271. https://doi.org/10.3390/w15244271

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AL-Hussein, Asaad A. M., Younes Hamed, Salem Bouri, Soumaya Hajji, Awad M. Aljuaid, and Wafik Hachicha. 2023. "The Socio-Economic Effects of Floods and Ways to Prevent Them: A Case Study of the Khazir River Basin, Northern Iraq" Water 15, no. 24: 4271. https://doi.org/10.3390/w15244271

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