Magda Mohamed, Huda Kamal Soussa, Nagy Aly Hassan, T. Elgamal
Remote sensing techniques are currently used in different fields including irrigation and water management fields. One of the important fields is the calculation of water consumption (WC). Remote sensing techniques can be used to estimate actual evapotranspiration and it can also be used to estimate crop coefficients based on spectral reflectance of vegetation indices (VIs), and from a relation with normalized difference vegetation index (NDVI), which is an indicator for the absorption and the reflection ratios by the green plant. The current study used remote sensing data to calculate WC for El-Bostan irrigation district. Crop coefficient values were calculated from NDVI and reference evapotranspiration values were calculated using CROPWAT program. The obtained results were verified by comparing them with field measurements. There was a strong linear correlation between the measured and calculated values with r2 of 0.90, while the root-mean-square error (RMSE) was 0.68. The results were also verified by comparing irrigation efficiencies obtained from remote sensing and from field measurements. The results were very close to each other. The study illustrated the importance and the reliability of using remote sensing techniques in calculating WC values, and which could improve water management and water use efficiency.
{"title":"Assessing the feasibility of applying remote sensing technique in calculating water consumption","authors":"Magda Mohamed, Huda Kamal Soussa, Nagy Aly Hassan, T. Elgamal","doi":"10.2166/ws.2023.139","DOIUrl":"https://doi.org/10.2166/ws.2023.139","url":null,"abstract":"\u0000 \u0000 Remote sensing techniques are currently used in different fields including irrigation and water management fields. One of the important fields is the calculation of water consumption (WC). Remote sensing techniques can be used to estimate actual evapotranspiration and it can also be used to estimate crop coefficients based on spectral reflectance of vegetation indices (VIs), and from a relation with normalized difference vegetation index (NDVI), which is an indicator for the absorption and the reflection ratios by the green plant. The current study used remote sensing data to calculate WC for El-Bostan irrigation district. Crop coefficient values were calculated from NDVI and reference evapotranspiration values were calculated using CROPWAT program. The obtained results were verified by comparing them with field measurements. There was a strong linear correlation between the measured and calculated values with r2 of 0.90, while the root-mean-square error (RMSE) was 0.68. The results were also verified by comparing irrigation efficiencies obtained from remote sensing and from field measurements. The results were very close to each other. The study illustrated the importance and the reliability of using remote sensing techniques in calculating WC values, and which could improve water management and water use efficiency.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87654914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The management of water resources requires a correct understanding of the simultaneous management of food and energy resources. The framework of water–food–energy correlation with the approach of sustainability of resources and uses analyzes the combined management and exploitation of water, food, and energy resources with the help of scenario planning. In addition to sustainability concepts, environmental costs such as the emission of carbon dioxide from fossil fuels and its impact on the environment are also discussed. In this research, according to the five defined indicators and based on the potential of using solar energy and the possibility of exploiting renewable energy sources such as solar energy, various management scenarios have been developed. After examining the virtual water management model developed in the Hunan basin as a case study, the development of the water–food–energy nexus model and its calibration, and four scenarios including improving water use efficiency, energy saving, increasing food productivity, and nexus sustainability were developed. The results showed that the nexus strategy can provide sustainability goals according to the weight of each component. After the combined scenario, improving the efficiency of water consumption can be the component with the highest priority in the decision-making model in dry areas.
{"title":"Sustainability indexes in water–food–energy nexus to develop strategies with respect to virtual water","authors":"Shanhui Huang, F. Zeng","doi":"10.2166/ws.2023.144","DOIUrl":"https://doi.org/10.2166/ws.2023.144","url":null,"abstract":"\u0000 The management of water resources requires a correct understanding of the simultaneous management of food and energy resources. The framework of water–food–energy correlation with the approach of sustainability of resources and uses analyzes the combined management and exploitation of water, food, and energy resources with the help of scenario planning. In addition to sustainability concepts, environmental costs such as the emission of carbon dioxide from fossil fuels and its impact on the environment are also discussed. In this research, according to the five defined indicators and based on the potential of using solar energy and the possibility of exploiting renewable energy sources such as solar energy, various management scenarios have been developed. After examining the virtual water management model developed in the Hunan basin as a case study, the development of the water–food–energy nexus model and its calibration, and four scenarios including improving water use efficiency, energy saving, increasing food productivity, and nexus sustainability were developed. The results showed that the nexus strategy can provide sustainability goals according to the weight of each component. After the combined scenario, improving the efficiency of water consumption can be the component with the highest priority in the decision-making model in dry areas.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74802039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With energy and water resources shortages, the energy and water resources managements of water distribution networks (WDNs) have become increasingly important. However, achieving real-time scheduling of pump and valve in dynamic environments remains challenging. Thus, this study proposes a multi-agent reinforcement learning scheduling framework to address the uncertainty of water demand in WDNs. First, we constructed a WDN environment and modelled the scheduling problem as a Markov decision process. Second, a multi-agent deep deterministic policy gradient (MADDPG) method was used to determine the strategy of the fully cooperative multi-agent task. Moreover, the impacts of energy and water loss costs on the scheduling strategy were explored. Finally, the results were compared with those of a genetic algorithm (GA), particle swarm optimisation (PSO), and differential evolution (DE) to verify the performance and robustness of the proposed model. The results show that water loss dominates the scheduling process, and the scheduling solutions for minimising water loss and energy costs are mainly affected by the demand pattern of consumers rather than the energy tariff. The proposed MADDPG model outperforms the GA, PSO, and DE models, achieving a significantly faster solution, which is advantageous for practical applications.
{"title":"Multi-agent reinforcement learning framework for real-time scheduling of pump and valve in water distribution networks","authors":"Shiyuan Hu, Jinliang Gao, Dan Zhong","doi":"10.2166/ws.2023.163","DOIUrl":"https://doi.org/10.2166/ws.2023.163","url":null,"abstract":"\u0000 \u0000 With energy and water resources shortages, the energy and water resources managements of water distribution networks (WDNs) have become increasingly important. However, achieving real-time scheduling of pump and valve in dynamic environments remains challenging. Thus, this study proposes a multi-agent reinforcement learning scheduling framework to address the uncertainty of water demand in WDNs. First, we constructed a WDN environment and modelled the scheduling problem as a Markov decision process. Second, a multi-agent deep deterministic policy gradient (MADDPG) method was used to determine the strategy of the fully cooperative multi-agent task. Moreover, the impacts of energy and water loss costs on the scheduling strategy were explored. Finally, the results were compared with those of a genetic algorithm (GA), particle swarm optimisation (PSO), and differential evolution (DE) to verify the performance and robustness of the proposed model. The results show that water loss dominates the scheduling process, and the scheduling solutions for minimising water loss and energy costs are mainly affected by the demand pattern of consumers rather than the energy tariff. The proposed MADDPG model outperforms the GA, PSO, and DE models, achieving a significantly faster solution, which is advantageous for practical applications.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82138761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Babak Zolghadr-Asli, N. McIntyre, S. Djordjević, R. Farmani, Liliana Pagliero
Maintaining access to a sustainable water resource is becoming increasingly difficult in the midst of the ongoing global water crisis, emphasizing the importance of investing in alternative resources such as desalinated water. Throughout history, the desalination industry has adapted to the specific needs of an era or different environmental conditions by incorporating cutting-edge technologies. The general theme of this paper is the past, the present, and the future of the desalination industry. As such, this research aims to examine the evolution of the desalination industry over time, understand its current state, and ultimately use this knowledge to highlight some important considerations for its future. This review highlighted the immense influence of the energy market on the prevalence of desalination technology in a given region and/or eras. The information gathered here indicates that other sectors, such as agriculture, may need to rely on this unconventional water supply in the future, but there are certain factors ranging from socioeconomic to environmental concerns that need continued and increased research to facilitate the long-term, sustainable development of this practice.
{"title":"A closer look at the history of the desalination industry: the evolution of the practice of desalination through the course of time","authors":"Babak Zolghadr-Asli, N. McIntyre, S. Djordjević, R. Farmani, Liliana Pagliero","doi":"10.2166/ws.2023.135","DOIUrl":"https://doi.org/10.2166/ws.2023.135","url":null,"abstract":"\u0000 \u0000 Maintaining access to a sustainable water resource is becoming increasingly difficult in the midst of the ongoing global water crisis, emphasizing the importance of investing in alternative resources such as desalinated water. Throughout history, the desalination industry has adapted to the specific needs of an era or different environmental conditions by incorporating cutting-edge technologies. The general theme of this paper is the past, the present, and the future of the desalination industry. As such, this research aims to examine the evolution of the desalination industry over time, understand its current state, and ultimately use this knowledge to highlight some important considerations for its future. This review highlighted the immense influence of the energy market on the prevalence of desalination technology in a given region and/or eras. The information gathered here indicates that other sectors, such as agriculture, may need to rely on this unconventional water supply in the future, but there are certain factors ranging from socioeconomic to environmental concerns that need continued and increased research to facilitate the long-term, sustainable development of this practice.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90705336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Drought is the most important factor limiting the growth and production of wheat in China. Arid and semi-arid regions and high water consumption in the agricultural sector have led to various deficit irrigation strategies. The effect of the hydrological process on yield production has been evaluated in rainfed cultivation of wheat for the three climatic stations of Gansu Province, Yellow River Valley, China. A general framework was provided for rainfed cultivation of wheat in arid and semi-arid regions. Moreover, the best time and amount of complementary irrigation and its effect on increasing yield production have been evaluated using grey wolf optimization algorithm. The results showed that rainfed cultivation of wheat in a humid regime could be suggested without complementary irrigation. Conducting two complementary irrigations in semi-humid regime can increase the final yield of wheat by more than 150 kg/ha. The maximum yields in sustainable management were obtained 4,844, 4,510, and 4,408 kg/ha for Longnan, Tianshui, and Dingxi, respectively.
{"title":"Determination of complementary irrigation times for rainfed cultivation based on biomass optimization and soil erosion index in Yellow River Valley","authors":"Xiaodan Li, Xin Huang, Xiaoning Zhang, Lili Nian, Peijie Yan, Xingyu Liu, Xuelu Liu","doi":"10.2166/ws.2023.122","DOIUrl":"https://doi.org/10.2166/ws.2023.122","url":null,"abstract":"\u0000 Drought is the most important factor limiting the growth and production of wheat in China. Arid and semi-arid regions and high water consumption in the agricultural sector have led to various deficit irrigation strategies. The effect of the hydrological process on yield production has been evaluated in rainfed cultivation of wheat for the three climatic stations of Gansu Province, Yellow River Valley, China. A general framework was provided for rainfed cultivation of wheat in arid and semi-arid regions. Moreover, the best time and amount of complementary irrigation and its effect on increasing yield production have been evaluated using grey wolf optimization algorithm. The results showed that rainfed cultivation of wheat in a humid regime could be suggested without complementary irrigation. Conducting two complementary irrigations in semi-humid regime can increase the final yield of wheat by more than 150 kg/ha. The maximum yields in sustainable management were obtained 4,844, 4,510, and 4,408 kg/ha for Longnan, Tianshui, and Dingxi, respectively.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87817921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nutrient loading in aquatic systems from anthropogenic sources is a worldwide concern. The Ganga is the most important river in India, but pollution is currently severely threatening its biodiversity and long-term environmental viability. Water samples were taken from 36 locations along the length of the Ganga and Yamuna rivers in Uttar Pradesh and analysed for nutrient concentration to evaluate the nutrient load, eutrophication danger, and river trophic status. The average concentration of NO3-N, PO4-P, NH4-N, and SiO2-Si exceeded the values in unpolluted rivers, indicating the contribution of anthropogenic sources. The concentration of NO3-N and NH4-N showed significant spatial variation, and PO4-P showed significant seasonal variation in the study area. The DIN/DIP ratio in the study area exceeded 16:1, indicating a phosphate-limiting condition for phytoplankton development. The DSi/DIN value showed a declining trend in the downstream region of both rivers with average values <1, indicating nitrate pollution leading to eutrophic conditions. The Indicator for Coastal Eutrophication Potential (ICEP) showed a positive value, indicating that the Ganga and Yamuna rivers in Uttar Pradesh were eutrophic due to nitrogen pollution. Trophic State Index (TSI) values indicated that super-eutrophic conditions existed in the Ganga River (65.62) and hypereutrophic conditions existed in the Yamuna River (75.55) in Uttar Pradesh.
{"title":"Spatial and seasonal variations in nutrient load and trophic status of Ganga and Yamuna rivers in Uttar Pradesh, India","authors":"Kriti Varma, P. Jha","doi":"10.2166/ws.2023.133","DOIUrl":"https://doi.org/10.2166/ws.2023.133","url":null,"abstract":"\u0000 \u0000 Nutrient loading in aquatic systems from anthropogenic sources is a worldwide concern. The Ganga is the most important river in India, but pollution is currently severely threatening its biodiversity and long-term environmental viability. Water samples were taken from 36 locations along the length of the Ganga and Yamuna rivers in Uttar Pradesh and analysed for nutrient concentration to evaluate the nutrient load, eutrophication danger, and river trophic status. The average concentration of NO3-N, PO4-P, NH4-N, and SiO2-Si exceeded the values in unpolluted rivers, indicating the contribution of anthropogenic sources. The concentration of NO3-N and NH4-N showed significant spatial variation, and PO4-P showed significant seasonal variation in the study area. The DIN/DIP ratio in the study area exceeded 16:1, indicating a phosphate-limiting condition for phytoplankton development. The DSi/DIN value showed a declining trend in the downstream region of both rivers with average values <1, indicating nitrate pollution leading to eutrophic conditions. The Indicator for Coastal Eutrophication Potential (ICEP) showed a positive value, indicating that the Ganga and Yamuna rivers in Uttar Pradesh were eutrophic due to nitrogen pollution. Trophic State Index (TSI) values indicated that super-eutrophic conditions existed in the Ganga River (65.62) and hypereutrophic conditions existed in the Yamuna River (75.55) in Uttar Pradesh.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83655074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
For the globally degrading groundwater resources in terms of quantity and quality, proper assessment and management become crucial for their sustainable use. This study aims to delineate the groundwater potential zones using an integrated approach of geographic information system (GIS) and the Analytical Hierarchy Process (AHP) in the Siwalik of the Kankai River Basin, Eastern Nepal. Different thematic layers like hydrogeomorphology, land use/land cover, lithology, slope, topographic wetness index, drainage density, normalized difference vegetation index, lineament density, and aspect were prepared and processed with suitable weights on Saaty's scale. The delineated groundwater potential zones in the study area were categorized as low, moderate, and high. The results showed that approximately 49.38% (130.85 km2) of the total study area has a low potential for groundwater. The moderate zone includes approximately 35.5% (94.07 km2) and the high potential zone includes only 15.05% (39.88 km2) of the area. The potential map was validated with a 70.6% prediction rate using the spatial distribution of the springs in the area. The analysis shows that hydrogeomorphology, LULC, and lithology have a significant control on the occurrences of groundwater. The study signifies the scarcity of groundwater resources, which needs a better management plan and strategies for sustainable use.
{"title":"Groundwater potential zonation in the Siwalik of the Kankai River Basin, Eastern Nepal","authors":"Champak Babu Silwal, Mukesh Nepal, D. Pathak, Balram Karkee, Kiran Dahal, Samir Acharya","doi":"10.2166/ws.2023.137","DOIUrl":"https://doi.org/10.2166/ws.2023.137","url":null,"abstract":"\u0000 \u0000 For the globally degrading groundwater resources in terms of quantity and quality, proper assessment and management become crucial for their sustainable use. This study aims to delineate the groundwater potential zones using an integrated approach of geographic information system (GIS) and the Analytical Hierarchy Process (AHP) in the Siwalik of the Kankai River Basin, Eastern Nepal. Different thematic layers like hydrogeomorphology, land use/land cover, lithology, slope, topographic wetness index, drainage density, normalized difference vegetation index, lineament density, and aspect were prepared and processed with suitable weights on Saaty's scale. The delineated groundwater potential zones in the study area were categorized as low, moderate, and high. The results showed that approximately 49.38% (130.85 km2) of the total study area has a low potential for groundwater. The moderate zone includes approximately 35.5% (94.07 km2) and the high potential zone includes only 15.05% (39.88 km2) of the area. The potential map was validated with a 70.6% prediction rate using the spatial distribution of the springs in the area. The analysis shows that hydrogeomorphology, LULC, and lithology have a significant control on the occurrences of groundwater. The study signifies the scarcity of groundwater resources, which needs a better management plan and strategies for sustainable use.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75912384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Accurate hydraulic conductivity (K) estimation of porous media is crucial in hydrological studies. Recently, groundwater investigators have utilized neural computing techniques to indirectly estimate soil sample K instead of time-consuming direct methods. The present study utilizes easily measurable characteristics, i.e., grain size at 10 and 50% finer by weight, porosity, and uniformity coefficient as input variables to examine the efficacy of feed-forward neural network (FFNN), Kohonen self-organizing maps (KSOM), and multiple linear regression (MLR) models in estimating the K of soil samples. Model development and validation used 70 and 30% of datasets, respectively. The determination coefficient (R2), root mean square error (RMSE), and mean bias error (MBE) were used to compare the model performance with the measured K values. The study's outcome indicates that the FFNN and KSOM models better estimate the K value, while the MLR model performs merely satisfactorily. Overall, during validation, the FFNN model correlates better with the measured values having R2, RMSE, and MBE of 0.94, 0.016, and 0.006, whereas the corresponding values for KSOM are 0.91, 0.024, and −0.004, and that for MLR are 0.87, 0.024, and 0.013, respectively. Notably, the FFNN model exhibits superior prediction performance and can be employed in aquifers for precise K estimation.
{"title":"Neural computing techniques to estimate the hydraulic conductivity of porous media","authors":"Abhishish Chandel, V. Shankar, Navsal Kumar","doi":"10.2166/ws.2023.143","DOIUrl":"https://doi.org/10.2166/ws.2023.143","url":null,"abstract":"\u0000 \u0000 Accurate hydraulic conductivity (K) estimation of porous media is crucial in hydrological studies. Recently, groundwater investigators have utilized neural computing techniques to indirectly estimate soil sample K instead of time-consuming direct methods. The present study utilizes easily measurable characteristics, i.e., grain size at 10 and 50% finer by weight, porosity, and uniformity coefficient as input variables to examine the efficacy of feed-forward neural network (FFNN), Kohonen self-organizing maps (KSOM), and multiple linear regression (MLR) models in estimating the K of soil samples. Model development and validation used 70 and 30% of datasets, respectively. The determination coefficient (R2), root mean square error (RMSE), and mean bias error (MBE) were used to compare the model performance with the measured K values. The study's outcome indicates that the FFNN and KSOM models better estimate the K value, while the MLR model performs merely satisfactorily. Overall, during validation, the FFNN model correlates better with the measured values having R2, RMSE, and MBE of 0.94, 0.016, and 0.006, whereas the corresponding values for KSOM are 0.91, 0.024, and −0.004, and that for MLR are 0.87, 0.024, and 0.013, respectively. Notably, the FFNN model exhibits superior prediction performance and can be employed in aquifers for precise K estimation.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79018157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In maize fields, few studies have been conducted to identify the temporal trend of soil salinity and formulate optimal irrigation plans under climate change. Therefore, the main goals of this study were to predict changes in soil salinity over 2022–2050 and to formulate an optimal supplemental irrigation plan preventing soil salinity in a South African rainfed maize field. The study used the Global Climate Model (GCM) MPI-ESM1-2-LR to obtain future climate data for the study area from 2022 to 2050 and applied the HYDRUS-1D model to project the effects of these future climate data on soil salinity over the same period and to identify the best irrigation plan under climate change. Two key findings were revealed: first, the combined use of GCMs (i.e., MPI-ESM1-2-LR model) and soil-water models (i.e., HYDRUS-1D) was a powerful tool to identify soil salinity trends and formulate optimal irrigation plan under climate change. Second, in addition to rainfall amount, supplying a limited supplemental irrigation amount equal to 8% of the actual evapotranspiration of maize at the mid-season stage of maize growth can significantly reduce soil salinity (<1.7 dS m−1) and enhance soil moisture under climate change by 2050. These findings will be useful for preventing soil salinity in rainfed maize fields.
{"title":"Climate change effects on soil salinity in rainfed maize areas: a case study from South Africa","authors":"Zied Haj-Amor, T. Araya, Dong-Gill Kim, S. Bouri","doi":"10.2166/ws.2023.138","DOIUrl":"https://doi.org/10.2166/ws.2023.138","url":null,"abstract":"\u0000 \u0000 In maize fields, few studies have been conducted to identify the temporal trend of soil salinity and formulate optimal irrigation plans under climate change. Therefore, the main goals of this study were to predict changes in soil salinity over 2022–2050 and to formulate an optimal supplemental irrigation plan preventing soil salinity in a South African rainfed maize field. The study used the Global Climate Model (GCM) MPI-ESM1-2-LR to obtain future climate data for the study area from 2022 to 2050 and applied the HYDRUS-1D model to project the effects of these future climate data on soil salinity over the same period and to identify the best irrigation plan under climate change. Two key findings were revealed: first, the combined use of GCMs (i.e., MPI-ESM1-2-LR model) and soil-water models (i.e., HYDRUS-1D) was a powerful tool to identify soil salinity trends and formulate optimal irrigation plan under climate change. Second, in addition to rainfall amount, supplying a limited supplemental irrigation amount equal to 8% of the actual evapotranspiration of maize at the mid-season stage of maize growth can significantly reduce soil salinity (<1.7 dS m−1) and enhance soil moisture under climate change by 2050. These findings will be useful for preventing soil salinity in rainfed maize fields.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77357526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. Majour, Nassima Sedrati, Samir Hani, B. Attoui, Samia Bounab, A. Hani
The Bouchegouf Plain is an industrial and mainly agricultural region. The results of analyses revealed high concentrations of physicochemical and bacteriological parameters in surface and underground waters. The objective of this research is to study the impact of the various discharges on water and the environment. Physicochemical and bacteriological analysis methods are used to characterize the surface and groundwaters. The synthesis of geological, hydrogeological and physicochemical data made it possible to develop models of underground flows and to delimit the perimeters of protection of the wells. The results showed a significant threat to the environment (Mellah and Seybouse streams) and to the waters of the alluvial aquifer. Indeed, the high concentrations of physicochemical and bacteriological parameters, in particular at the point of discharge of the yeast plant, can have harmful effects on fauna, flora and human health (waterborne diseases). Simulations of groundwater flows and pollutant transfer showed that groundwater is strongly affected by the drainage of the Seybouse wadi. Road traffic can also be the source of accidental pollution.
{"title":"Contribution of hydrogeochemical and statistical tools to the acquisition of water quality in the Bouchegouf Plain (northeast Algeria)","authors":"H. Majour, Nassima Sedrati, Samir Hani, B. Attoui, Samia Bounab, A. Hani","doi":"10.2166/ws.2023.141","DOIUrl":"https://doi.org/10.2166/ws.2023.141","url":null,"abstract":"\u0000 \u0000 The Bouchegouf Plain is an industrial and mainly agricultural region. The results of analyses revealed high concentrations of physicochemical and bacteriological parameters in surface and underground waters. The objective of this research is to study the impact of the various discharges on water and the environment. Physicochemical and bacteriological analysis methods are used to characterize the surface and groundwaters. The synthesis of geological, hydrogeological and physicochemical data made it possible to develop models of underground flows and to delimit the perimeters of protection of the wells. The results showed a significant threat to the environment (Mellah and Seybouse streams) and to the waters of the alluvial aquifer. Indeed, the high concentrations of physicochemical and bacteriological parameters, in particular at the point of discharge of the yeast plant, can have harmful effects on fauna, flora and human health (waterborne diseases). Simulations of groundwater flows and pollutant transfer showed that groundwater is strongly affected by the drainage of the Seybouse wadi. Road traffic can also be the source of accidental pollution.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90507991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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