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Keywords = desert water storage

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33 pages, 33351 KiB  
Article
A Deep Learning Method for Land Use Classification Based on Feature Augmentation
by Yue Wang, Wanshun Zhang, Xin Liu, Hong Peng, Minbo Lin, Ao Li, Anna Jiang, Ning Ma and Lu Wang
Remote Sens. 2025, 17(8), 1398; https://doi.org/10.3390/rs17081398 - 14 Apr 2025
Viewed by 845
Abstract
Land use monitoring by satellite remote sensing can improve the capacity of ecosystem resources management. The satellite source, bandwidth, computing speed, data storage and cost constrain the development and application in the field. A novel deep learning classification method based on feature augmentation [...] Read more.
Land use monitoring by satellite remote sensing can improve the capacity of ecosystem resources management. The satellite source, bandwidth, computing speed, data storage and cost constrain the development and application in the field. A novel deep learning classification method based on feature augmentation (CNNs-FA) is developed in this paper, which offers a robust avenue to realize regional low-cost and high-precision land use monitoring. Twenty-two spectral indices are integrated to augment vegetation, soil and water features, which are used for convolutional neural networks (CNNs) learning to effectively differentiate seven land use types, including cropland, forest, grass, built-up, bare, wetland and water. Results indicated that multiple spectral indices can effectively distinguish land uses with a similar reflectance, achieving an overall accuracy of 99.70%, 94.81% and 90.07%, respectively, and a kappa coefficient of 99.96%, 98.62% and 99.76%, respectively, for Bayannur, Ordos and the Hong Lake Basin (HLB). The overall accuracy of 98.18% for the field investigation demonstrated that the accuracy of the classification in wet areas and ecologically sensitive areas was characterized by significant desert–grassland interspersion. Full article
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26 pages, 343 KiB  
Review
Monsters or Wheels of Fortune?—A Review of Sustainability Conflicts Connected to the Expansion of Wind Energy Production with Reference to Don Quixote
by Ralph Hansmann
Reg. Sci. Environ. Econ. 2025, 2(2), 8; https://doi.org/10.3390/rsee2020008 - 14 Apr 2025
Viewed by 1343
Abstract
Good solutions for sustainable development promote social, ecological, and economic aspects in synergistic ways. Wind energy projects have a large potential to achieve this, if their locations are carefully selected. On the contrary, placing wind turbines inside forest areas with high biodiversity, cultural [...] Read more.
Good solutions for sustainable development promote social, ecological, and economic aspects in synergistic ways. Wind energy projects have a large potential to achieve this, if their locations are carefully selected. On the contrary, placing wind turbines inside forest areas with high biodiversity, cultural significance, and recreational use generates conflicts between different dimensions of sustainability, and between supporters and opponents of such projects. The resulting green-versus-green dilemma involves a conflict between idealism and pragmatism, as incorporated in literature by the personalities of Don Quixote and Sancho Panza. Sustainable solutions require both aspects as well as realism. Forest areas have crucial climate benefits ranging from the absorption of CO2 and other emissions, providing shade and cooling during heatwaves to the storage of humidity and water. Climate change is not solely a problem of rising temperature. It also involves changes in humidity and precipitation, and the related problems of desertification and deforestation. Accordingly, a strategy of deforestation for hosting wind farms seems questionable. Instead, constructing wind turbines with energy storage capacities on deserted ground and using their economic and energetic gains for a subsequent afforestation of the surrounding land would achieve synergetic sustainability benefits for biodiversity, human wellbeing, and the climate. Full article
14 pages, 810 KiB  
Article
Granulometry and Functional Properties of Yuca Flour (Yucca decipiens Trel.) for Food Purposes
by Selena R. Martínez-Betancourt, Jorge Cadena-Iñiguez, Gerardo Loera-Alvarado, Víctor M. Ruiz-Vera, Ramón Marcos Soto-Hernández, Concepción López-Padilla and Dalia Abigail García-Flores
Polysaccharides 2025, 6(1), 16; https://doi.org/10.3390/polysaccharides6010016 - 27 Feb 2025
Viewed by 812
Abstract
Mexican yuca (Yucca decipiens Trel.) is native to the semi-desert region of north-central Mexico. Based on its medicinal uses, the flour produced from its leaves and stems was evaluated to determine new food uses. The flour was characterized based on granulometry, rheology, [...] Read more.
Mexican yuca (Yucca decipiens Trel.) is native to the semi-desert region of north-central Mexico. Based on its medicinal uses, the flour produced from its leaves and stems was evaluated to determine new food uses. The flour was characterized based on granulometry, rheology, texture and functional properties, which were analyzed with the RStudio software. The results indicate that the Water Absorption Index (WAI) of yuca flour (0.11 mL g−1) is similar to that of wheat flour (0.56 mL g−1). However, the Fat Absorption Index (FAI) of yuca flour (0.40 mL g−1) is significantly lower than that of Saltillo Pinto bean flour (1.55 mL g−1). This suggests that yuca exhibits hydrophilic behavior comparable to that of wheat flour and requires less oil in potential formulations. The expansion capacity of yuca flour is similar to that of wheat flour, demonstrating a gluten-like behavior ideal for food applications that require this structural component. The flour also exhibited notable foaming properties, high stability and low fat content, highlighting its food potential. Fermentation matched the parameters of the Cereal & Grains Association’s physicochemical test methods 56–60; consequently, yuca flours are classified as the same as those produced from soft, weak wheat, supporting their use for fermentation processes. Internal friction values (0.85–0.92) suggest limited flow; however, its high density shows fine granulometry that facilitates the bagging, handling and storage of the flour, complying with the Mexican standards. Full article
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20 pages, 10070 KiB  
Article
Analysis of the Interrelationships and Drivers of Ecosystem Services in the Heihe River Basin
by Yuxiang Yan, Xiaohuang Liu, Tao Lin, Peng Li, Jie Min, Ping Zhu, Xiaotong Liu and Chao Wang
Sustainability 2025, 17(5), 1942; https://doi.org/10.3390/su17051942 - 25 Feb 2025
Viewed by 619
Abstract
The preservation and enhancement of ecosystem services are essential for maintaining ecological balance and sustainable growth. The Heihe River Basin (HRB) is important for ecological security in Northwest China, yet is a fragile ecological environment. Understanding the dynamics and evolution of ESs is [...] Read more.
The preservation and enhancement of ecosystem services are essential for maintaining ecological balance and sustainable growth. The Heihe River Basin (HRB) is important for ecological security in Northwest China, yet is a fragile ecological environment. Understanding the dynamics and evolution of ESs is vital for balancing resource exploitation, socioeconomic development, and ecological protection. Using the InVEST model, we calculated water yield, habitat quality, and carbon stock in the HRB during 2000–2020 and examined shifts in ecosystem services. Trade-offs and synergies among ESs were assessed using GeoDa and key drivers were identified through the geodetector model. The spatial distribution of water yield, habitat quality, and carbon storage varied significantly, with high values concentrated in the upstream Qilian Mountains and low values in the downstream desert areas. High carbon storage clusters were stable, high water yield clusters increased and subsequently decreased, and high habitat quality clusters fluctuated. Carbon storage, water yield, and habitat quality exhibited a synergistic relationship. Climate and topography, particularly vapor emissions and elevation, were the primary factors influencing ESs, while socioeconomic factors had a lesser impact. These findings provide valuable insights for sustainable ecosystem management and conservation in the HRB and other arid inland watershed regions. Full article
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30 pages, 3771 KiB  
Review
The Hidden Threat of Microplastics in Desert Environments: Environmental Impact, Challenges, and Response Measures
by Huiqi Li, Huanpeng Liu, Qizhuan Lin, Ting Chen and Renyi Peng
Sustainability 2025, 17(5), 1897; https://doi.org/10.3390/su17051897 - 24 Feb 2025
Cited by 2 | Viewed by 1550
Abstract
Microplastic (MP) pollution has garnered widespread attention because of its negative effects, even in the most remote areas of Earth. However, research on MP deposition in deserts, which account for 45% of Earth’s total land area, remains limited. Desert environments, characterized by large [...] Read more.
Microplastic (MP) pollution has garnered widespread attention because of its negative effects, even in the most remote areas of Earth. However, research on MP deposition in deserts, which account for 45% of Earth’s total land area, remains limited. Desert environments, characterized by large temperature fluctuations, high ultraviolet radiation, and strong winds, accelerate the degradation, aging, wind erosion, deposition, and migration of microplastics (MPs). In desert regions, MPs originate primarily from human activities, such as tourism waste, agricultural mulch residues, and artificial water storage systems. Additionally, wind transport, water entrainment, atmospheric deposition, and the migration of wildlife further influence the abundance of MPs in these areas. As MP pollution in desert soils intensifies, it negatively affects local microbial activity, crop yields, the reproduction of rare wildlife, and climate. In response, mitigation strategies, such as biodegradation, organic alternatives, and wasteland transformation, have been proposed. However, challenges remain, including a lack of specific research data and limited economic incentives for environmental protection measures. Drawing on existing research, this paper provides a comprehensive summary of the main sources of MPs in desert areas; the influence of environmental factors on their fate; their detrimental effects on ecosystems (including microorganisms, animals, plants, and climate); and current response measures. Valuable insights are extracted from the available data, highlighting the status and challenges of MP pollution in desert regions, and offering a useful reference for future research in this area. Full article
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15 pages, 2689 KiB  
Article
Shrub Encroachment: A Catalyst for Enhanced Soil Nutrients Storage in the Altai Mountains
by Xuexi Ma, Lianlian Fan, Abbas Fakher, Yaoming Li, Jiefei Mao, Meiniu Yang, Meng Yan, Bo Zhang and Yingzhi Gao
Plants 2025, 14(4), 623; https://doi.org/10.3390/plants14040623 - 19 Feb 2025
Cited by 2 | Viewed by 663
Abstract
Shrub encroachment in grasslands has a major impact on soil carbon storage (SOCS) and soil total nitrogen (STNS), which affects nutrient cycling and ecosystem processes. We explored the effects of shrub encroachment on SOCS and STNS in [...] Read more.
Shrub encroachment in grasslands has a major impact on soil carbon storage (SOCS) and soil total nitrogen (STNS), which affects nutrient cycling and ecosystem processes. We explored the effects of shrub encroachment on SOCS and STNS in five grassland types in the Altai Mountains: mountain meadows, temperate meadow steppe, temperate steppe, temperate steppe desert, and temperate desert steppe. Shrub encroachment considerably improved SOCS and STNS, with the greatest increases occurring in locations with high encroachment. The interaction between grassland type and encroachment extent also significantly influenced soil properties, including bulk density, soil water content, and microbial carbon and nitrogen. Specifically, SOCS increased by 16%, 77%, and 129%, and STNS increased by 43%, 94%, and 127% under low, medium, and high shrub encroachment, respectively. The soil stoichiometry shifted, with C/N ratios decreasing and C/P and N/P ratios increasing with shrub encroachment. Structural equation modeling (SEM) revealed that shrub encroachment indirectly affected SOCS and STNS through changes in soil nutrients and climate. Our findings suggest that shrub encroachment promotes soil C sequestration and alters soil nutrient cycling, with implications for grassland management and ecological restoration in the face of global climate change. Full article
(This article belongs to the Special Issue Plant Invasion 2023)
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20 pages, 4674 KiB  
Article
Investigating the Zonal Response of Spatiotemporal Dynamics of Australian Grasslands to Ongoing Climate Change
by Jingai Bai and Tingbao Xu
Land 2025, 14(2), 296; https://doi.org/10.3390/land14020296 - 31 Jan 2025
Cited by 1 | Viewed by 1151
Abstract
Grasslands are key components of land ecosystems, providing valuable ecosystem services and contributing to local carbon sequestration. Australian grasslands, covering approximately 70% of the continent, are vital for agriculture, pasture, and ecosystem services. Ongoing climate change introduces considerable uncertainties about the dynamic responses [...] Read more.
Grasslands are key components of land ecosystems, providing valuable ecosystem services and contributing to local carbon sequestration. Australian grasslands, covering approximately 70% of the continent, are vital for agriculture, pasture, and ecosystem services. Ongoing climate change introduces considerable uncertainties about the dynamic responses of different types of grasslands to changes in regional climate and its variation. This study, bringing together high-resolution meteorological data, calibrated long-term satellite NDVI data, and NPP and statistical models, investigated the spatiotemporal variability of NDVI and NPP and their predominant drivers (temperature and soil water content) across Australia’s grassland zones from 1992 to 2021. Results showed a slight, non-significant NDVI increase, primarily driven by improved vegetation in northern savannah grasslands (SGs). Areal average annual NPP values fluctuated annually but with a levelled trend over time, illustrating grassland resilience. NDVI and NPP measures aligned spatially, with values decreasing from the coastal to the inland regions and north to south. Most of the SGs experienced an increase in NDVI and NPP, boosted by abundant soil moisture and warm weather, which promoted vegetation growth and sustained a stable growing biomass in this zone. The increased NDVI and NPP in northern open grasslands (OGs) were linked to wetter conditions, while their decreases in western desert grasslands (DGs) were ascribed to warming and drier weather. Soil water availability was the dominant driver of grassland growth, with NDVI being positively correlated with soil water content but being negatively correlated with temperature across most grasslands. Projections under the SSP126 and SSP370 scenarios using ACCESS-ESM1.5 showed slight NPP increases by 2050 under warmer and wetter conditions, though western and southern grasslands may see declines in vegetation coverage and carbon storage. This study provides insights into the responses of Australian grasslands to climate variability. The results will help to underpin the design of sustainable grassland management strategies and practices under a changing climate for Australia. Full article
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28 pages, 13111 KiB  
Article
Developing Strategies for Carbon Neutrality Through Restoration of Ecological Spatial Networks in the Thal Desert, Punjab
by Tauqeer Nawaz, Muhammad Gohar Ismail Ansari, Qiang Yu, Buyanbaatar Avirmed, Farhan Iftikhar, Wang Yu, Jikai Zhao, Muhammad Anas Khan and Muhammad Mudassar Khan
Remote Sens. 2025, 17(3), 431; https://doi.org/10.3390/rs17030431 - 27 Jan 2025
Viewed by 1092
Abstract
Carbon neutrality is an important goal for addressing global warming. It can be achieved by increasing carbon storage and reducing carbon emissions. Vegetation plays a key role in storing carbon, but it is often lost or damaged, especially in areas affected by desertification. [...] Read more.
Carbon neutrality is an important goal for addressing global warming. It can be achieved by increasing carbon storage and reducing carbon emissions. Vegetation plays a key role in storing carbon, but it is often lost or damaged, especially in areas affected by desertification. Therefore, restoring vegetation in these areas is crucial. Using advanced techniques to improve ecosystem structure can support ecological processes, and enhance soil and environmental conditions, encourage vegetation growth, and boost carbon storage effectively. This study focuses on optimizing Ecological Spatial Networks (ESNs) for revitalization and regional development, employing advanced techniques such as the MCR model for corridor construction, spatial analysis, and Gephi for mapping topological attributes. Various ecological and topological metrics were used to evaluate network performance, while the EFCT model was applied to optimize the ESN and maximize carbon sinks. In the Thal Desert, ecological source patches (ESPs) were divided into four modularity levels (15.6% to 49.54%) and five communities. The northeastern and southwestern regions showed higher ecological functionality but lower connectivity, while the central region exhibited the reverse. To enhance the ESN structure, 27 patches and 51 corridors were added to 76 existing patches, including 56 forest and 20 water/wetland patches, using the EFCT model. The optimized ESN resulted in a 14.97% improvement in carbon sink capacity compared to the unoptimized structure, primarily due to better functioning of forest and wetland areas. Enhanced connectivity between components contributed to a more resilient and stable ESN, supporting both ecological sustainability and carbon sequestration. Full article
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15 pages, 4290 KiB  
Article
Effects of Restoration Strategies on Soil Health after Lycium chinense Removal in the Qaidam Basin
by Yedi Tian, Dangzhi Pengmao, Xin Hu and Min Liu
Sustainability 2024, 16(20), 8845; https://doi.org/10.3390/su16208845 - 12 Oct 2024
Cited by 1 | Viewed by 999
Abstract
Ecological restoration of arid land plays a pivotal role in maintaining ecological sustainability and enhancing the resilience of local communities. As an ecologically significant arid land, the Qinghai Qaidam Basin has been severely impacted by human activities such as the widespread planting of [...] Read more.
Ecological restoration of arid land plays a pivotal role in maintaining ecological sustainability and enhancing the resilience of local communities. As an ecologically significant arid land, the Qinghai Qaidam Basin has been severely impacted by human activities such as the widespread planting of Lycium chinense, leading to considerable degradation of vegetation and soil carbon and nutrients. Currently, this vital area is undergoing extensive ecological restoration through the employment of a variety of strategies, but the impact remains inadequately understood. This study seeks to compare the effects of different restoration strategies in the Qinghai Qaidam Basin, focusing on soil properties across five scenarios: a controlled desert area, natural restoration after the removal of L. chinense, continued planting of L. chinense, restoration through the planting of Haloxylon ammodendron, and mixed reseeding after four years of restoration. Our findings indicate that mixed reseeding significantly improved soil water storage to 4.26%, especially in the deep soil layer. The planting of H. ammodendron strategy efficiently reduced soil pH in such an alkaline environment. Soil nutrients, including total nitrogen (TN), total phosphorus (TP), and total potassium (TK), were predominantly concentrated in the top soil layer, with reduced concentrations observed in the medium and deep soil layers. Although soil organic matter remained relatively stable across all restoration strategies, its content was notably lower in the deeper layers. Overall, mixed reseeding proved to be the most efficient strategy for enhancing soil water retention and nutrient levels. In contrast, despite achieving high vegetative coverage to 62.6%, planting of L. chinense was less ecologically beneficial due to its extensive irrigation requirements and adverse effects on soil structure. These findings suggest that restoring degraded areas to an ideal ecological state cannot be achieved within a few years, underscoring the importance of sustained restoration efforts. This study offers valuable insights and practical guidance for the ecological restoration of arid lands, contributing to the development of sustainable land management practices in similar regions. Full article
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18 pages, 12155 KiB  
Article
The Interrelationships and Driving Factors of Ecosystem Service Functions in the Tianshan Mountains
by Wudi Chen, Ran Wang, Xiaohuang Liu, Tao Lin, Zhe Hao, Yukun Zhang and Yu Zheng
Forests 2024, 15(9), 1678; https://doi.org/10.3390/f15091678 - 23 Sep 2024
Cited by 2 | Viewed by 1458
Abstract
Ecosystems offer natural resources and habitats for humans, serving as the foundation for human social development. Taking the Tianshan Mountains as the study area, this study investigated the changing trends, hot spots, and driving factors of water yield (WY), soil conservation (SC), carbon [...] Read more.
Ecosystems offer natural resources and habitats for humans, serving as the foundation for human social development. Taking the Tianshan Mountains as the study area, this study investigated the changing trends, hot spots, and driving factors of water yield (WY), soil conservation (SC), carbon storage (CS), and habitat quality (HQ), in the Tianshan region, from 1990 to 2020. To determine the trade-offs and synergies between the ESs, we employed the Spearman correlation coefficient, geographically weighted regression, the self-organizing map (SOM), and other methods. Five main results were obtained. (1) There were similar spatial distribution patterns for WY, HQ, CS, and SC, with high-value areas mainly concentrated in grassland zones, forest zones, river valleys, and the intermountain basins of the mountain range, while regions with low value were clustered in desert zones and snow/ice zones. (2) According to the hotspot analysis, areas with relatively strong ES provisioning for WY, HQ, CS, and SC, were primarily concentrated in the BoroHoro Ula Mountains and Yilianhabierga Mountains. In contrast, areas with relatively weak ES provisioning were mainly located in the Turpan Basin. (3) Precipitation was the primary explanatory factor for WY. Soil type, potential evapotranspiration (PET), and the normalized difference vegetation index (NDVI) were the primary explanatory factors for HQ. Soil type and NDVI were the primary explanatory factors for CS. PET was the primary explanatory factor for SC. (4) There were synergistic relationships between the WY, HQ, CS, and SC, with the strongest synergies found between CS–HQ, WY–HQ, and WY–SC. (5) Six ES bundles were identified through the SOM method, with their composition varying at different spatial scales, indicating the need for different ES management priorities in different regions. Our analysis of ESs, from various perspectives, offers insights to aid sustainable ecosystem management and conservation efforts in the Tianshan region and other major economic areas worldwide. Full article
(This article belongs to the Section Forest Ecology and Management)
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8 pages, 1391 KiB  
Communication
Soilless Production of Lettuce (Lactuca sativa) in the Atacama Desert Using Fog Water: Water Quality and Produce Mineral Composition
by Francisco Albornoz, Inés Vilches, Camilo del Río and Virginia Carter
Horticulturae 2024, 10(9), 957; https://doi.org/10.3390/horticulturae10090957 - 7 Sep 2024
Cited by 2 | Viewed by 1541
Abstract
Soilless vegetable production in the Atacama Desert of Northern Chile is spreading since it is perceived as an alternative that requires much less water than open field soil production. However, strong competition between mining and urban use for human population consumption exists, forcing [...] Read more.
Soilless vegetable production in the Atacama Desert of Northern Chile is spreading since it is perceived as an alternative that requires much less water than open field soil production. However, strong competition between mining and urban use for human population consumption exists, forcing growers to use alternative water sources. Fog is commonly present in the coastal areas of Northern Chile; however, little information exists with regards to its chemical composition and the effect on nutrient quality of the produce. To address this knowledge gap, a set of experiments was carried out in Chañaral, a small town located in the Atacama Desert of Northern Chile. There, a 200 m2 greenhouse equipped with twenty deep flow pools was used in two consecutive growing cycles. Water for the mixing of the nutrient solution was collected from the fog using fog-catchers and later stored in 2000-L tanks. Fog water quality (electrical conductivity, pH and mineral content) was monitored directly from the storage tanks. Two types of lettuce, green butterhead and red oak leaf, were compared on their yield and accumulation of nutrients and heavy metals. The results indicate that fog water is of good quality for soilless production, with an electrical conductivity value of 0.65 ± 0.18 and low content of heavy metals. Plants’ heavy metal accumulation is below the recommendation of Food and Agriculture Organization and World Health Organization. Fog water presents as a viable water source for soilless production in Northern Chile. Full article
(This article belongs to the Special Issue Soilless Culture in Vegetable Production)
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23 pages, 6165 KiB  
Article
On–off-Grid Optimal Hybrid Renewable Energy Systems for House Units in Iraq
by Hussain Alshamri, Timothy Cockerill, Alison S. Tomlin, Moustafa Al-Damook and Mansour Al Qubeissi
Clean Technol. 2024, 6(2), 602-624; https://doi.org/10.3390/cleantechnol6020032 - 9 May 2024
Cited by 2 | Viewed by 4098
Abstract
This paper addresses the optimal sizing of Hybrid Renewable Energy Systems (HRESs), encompassing wind, solar, and battery systems, with the aim of delivering reliable performance at a reasonable cost. The focus is on mitigating unscheduled outages on the national grid in Iraq. The [...] Read more.
This paper addresses the optimal sizing of Hybrid Renewable Energy Systems (HRESs), encompassing wind, solar, and battery systems, with the aim of delivering reliable performance at a reasonable cost. The focus is on mitigating unscheduled outages on the national grid in Iraq. The proposed On–off-grid HRES method is implemented using MATLAB and relies on an iterative technique to achieve multi-objectives, balancing reliability and economic constraints. The optimal HRES configuration is determined by evaluating various scenarios related to energy flow management, electricity prices, and land cover effects. Consumer requirements regarding cost and reliability are factored into a 2D optimization process. A battery model is developed to capture the dynamic exchange of energy among different renewable sources, battery storage, and energy demands. A detailed case study across fifteen locations in Iraq, including water, desert, and urban areas, revealed that local wind speed significantly affects the feasibility and efficiency of the HRES. Locations with higher wind speeds, such as the Haditha lake region (payback period: 7.8 years), benefit more than urban areas (Haditha city: payback period: 12.4 years). This study also found that not utilizing the battery, particularly during periods of high electricity prices (e.g., 2015), significantly impacts the HRES performance. In the Haditha water area, for instance, this technique reduced the payback period from 20.1 to 7.8 years by reducing the frequency of charging and discharging cycles and subsequently mitigating the need for battery replacement. Full article
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22 pages, 9561 KiB  
Article
Associations between Surface Deformation and Groundwater Storage in Different Landscape Areas of the Loess Plateau, China
by Zhiqiang Liu, Shengwei Zhang, Wenjie Fan, Lei Huang, Xiaojing Zhang, Meng Luo, Shuai Wang and Lin Yang
Land 2024, 13(2), 184; https://doi.org/10.3390/land13020184 - 4 Feb 2024
Cited by 2 | Viewed by 1773
Abstract
The Loess Plateau is an important grain-producing area and energy base in China and is an area featuring dramatic changes in both surface and underground processes. However, the associations between surface deformation and groundwater storage changes in different landscape types in the region [...] Read more.
The Loess Plateau is an important grain-producing area and energy base in China and is an area featuring dramatic changes in both surface and underground processes. However, the associations between surface deformation and groundwater storage changes in different landscape types in the region are still unclear. Based on Sentinel-1 and GRACE (Gravity Recovery and Climate Experiment) data, this study monitored and verified the surface deformation and groundwater storage changes in different landscape types, such as those of the Kubuqi Desert, Hetao Irrigation District, Jinbei Mining Area, and Shendong Mining Area, in the Loess Plateau of China from 2020 to 2021. Through time series and cumulative analysis using the same spatial and temporal resolution, the associations between these two changes in different regions are discussed. The results show that: (1) the surface deformation rates in different landscape types differ significantly. The minimum surface deformation rate in the Kubuqi Desert is −5~5 mm/yr, while the surface deformation rates in the Hetao Irrigation District, the open-pit mine recovery area in the Jinbei Mining Area, and the Shendong Mining Area are −60~25 mm/yr, −25~25 mm/yr, and −95.33~26 mm/yr, respectively. (2) The regional groundwater reserves all showed a decreasing trend, with the Kubuqi Desert, Hetao Irrigation District, Jinbei Mining Area, and Shendong Mining Area declining by 359.42 mm, 103.30 mm, 45.60 mm, and 691.72 mm, respectively. (3) The surface elasticity deformation had the same trend as the temporal fluctuation in groundwater storage, and the diversion activity was the main reason why the temporal surface deformation in the Hetao Irrigation District lagged behind the change in groundwater storage by 1~2 months. The measure of “underground water reservoirs in coal mines” slows down the rate of collapse of coal mine roof formations, resulting in the strongest time-series correlation between mild deformation of the surface of the Shendong mine and changes in the amount of groundwater reserves (R = 0.73). This study analyzes the associations between surface deformation and groundwater storage changes in different landscape areas of the Loess Plateau of China and provides new approaches to analyzing the dynamic associations between the two and the causes of changes in both variables. Full article
(This article belongs to the Special Issue Assessing Land Subsidence Using Remote Sensing Data)
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19 pages, 8106 KiB  
Article
Water Balance Characteristics of the Salix Shelterbelt in the Kubuqi Desert
by Qingchi Han, Kai Sun, Haichao Wang, Zhiyong Pei, Hongwei Chen, Jianjun Yang and Xiaotian Sun
Forests 2024, 15(2), 278; https://doi.org/10.3390/f15020278 - 1 Feb 2024
Cited by 1 | Viewed by 1878
Abstract
Water shortages are the main factor restricting the survival and construction of shelterbelts in sandy areas. Comprehensive analysis of the water balance characteristics of forest stands is crucial for scientifically understanding and regulating the water supply of shelterbelts in sandy areas and formulating [...] Read more.
Water shortages are the main factor restricting the survival and construction of shelterbelts in sandy areas. Comprehensive analysis of the water balance characteristics of forest stands is crucial for scientifically understanding and regulating the water supply of shelterbelts in sandy areas and formulating appropriate vegetation cultivation and restoration strategies. We simultaneously monitored outer-forest precipitation, canopy interception, stemflow, throughfall, forest transpiration, understory evapotranspiration, and soil moisture content changes in the Salix forest in the Kubuqi Desert during the main growing season (June–October) of 2022. The results showed that the total evapotranspiration of the forest was 185.62 mm, and the components and their proportions of precipitation during the same period were as follows: forest floor evapotranspiration, 94.43 mm (35.88%); stand transpiration, 68.34 mm (25.97%); and canopy interception, 22.85 mm (8.68%). Based on the water balance of the 0–60 cm soil layer and by integrating the changes in soil water storage and the influence of external water transport, the net runoff of the forestland was calculated to be approximately 77.58 mm; that is, the water balance requirements for growth were met. In the future, appropriate irrigation and supplementation can be carried out in June and July to ensure healthier growth in the shelterbelt, and plant photosynthesis and internal physiology can be further studied for cultivation in other desert areas. Full article
(This article belongs to the Section Forest Hydrology)
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20 pages, 20921 KiB  
Article
Integrated Hydrological Modeling for Watershed Analysis, Flood Prediction, and Mitigation Using Meteorological and Morphometric Data, SCS-CN, HEC-HMS/RAS, and QGIS
by Heba El-Bagoury and Ahmed Gad
Water 2024, 16(2), 356; https://doi.org/10.3390/w16020356 - 21 Jan 2024
Cited by 23 | Viewed by 13528
Abstract
Flooding is a natural disaster with extensive impacts. Desert regions face altered flooding patterns owing to climate change, water scarcity, regulations, and rising water demands. This study assessed and predicted flash flood hazards by calculating discharge volume, peak flow, flood depth, and velocity [...] Read more.
Flooding is a natural disaster with extensive impacts. Desert regions face altered flooding patterns owing to climate change, water scarcity, regulations, and rising water demands. This study assessed and predicted flash flood hazards by calculating discharge volume, peak flow, flood depth, and velocity using the Hydrologic Engineering Centre-River Analysis System and Hydrologic Modelling System (HEC-HMS and HEC-RAS) software. We employed meteorological and morphological data analyses, incorporating the soil conservation service (SCS) curve number method for precipitation losses and the SCS-Hydrograph for runoff transformation. The model was applied to two drainage basins (An-Nawayah and Al-Rashrash) in southeastern Cairo, Egypt, which recently encountered several destructive floods. The applied model revealed that 25-, 50-, and 100-year storms produced runoff volumes of 2461.8 × 103, 4299.6 × 103, and 5204.5 × 103 m3 for An-Nawayah and 6212 × 103, 8129.4 × 103, and 10,330.6 × 103 m3 for Al-Rashrash, respectively. Flood risk levels, categorised as high (35.6%), extreme (21.9%), and medium (21.12%) were assessed in low- and very-low-hazard areas. The study highlighted that the areas closer to the Nile River mouth faced greater flood impacts from torrential rain. Our findings demonstrate the effectiveness of these methods in assessing and predicting flood risk. As a mitigation measure, this study recommends the construction of five 10 m high dams to create storage lakes. This integrated approach can be applied to flood risk assessment and mitigation in comparable regions. Full article
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