Water Supply最新文献_第5页

Effects of climate and land use change on runoff of the second Songhua River Basin guided by SWAT model SWAT 模型指导下的气候和土地利用变化对第二松花江流域径流的影响

Water Supply Pub Date : 2024-02-27 DOI: 10.2166/ws.2024.037

Hongxue Liu, Jifa Liu, Wanqiu Chen

{"title":"Effects of climate and land use change on runoff of the second Songhua River Basin guided by SWAT model","authors":"Hongxue Liu, Jifa Liu, Wanqiu Chen","doi":"10.2166/ws.2024.037","DOIUrl":"https://doi.org/10.2166/ws.2024.037","url":null,"abstract":"\u0000 The driving effect of global climate change on the ecohydrological process was quantitatively evaluated. Based on Geographic Information System technology, a Soil and Water Assessment Tool model suitable for watershed hydrological simulation was constructed to study the impact of climate and land-use change on runoff in the Second Songhua River (SSR) basin. Within the base period (1965–2010), the annual average temperature (AAT) of the SSR basin is 4.2 °C. Under the CC scenario representing concentration pathway (RCP) 4.5, the AAT of the watershed increased to 5.4 °C between 2020 and 2049. Under the CC scenarios of RCP 8.5 and RCP 4.5, the temperature in the watershed increased by 1.1 and 0.2 °C in June, respectively. The research results indicate that (1) there is a positive correlation between runoff and precipitation in the SSR watershed, and a negative correlation with temperature; (2) when the precipitation remains unchanged, the temperature increases by 1 °C and the runoff decreases by 7.2%; and (3) when the temperature remains constant, for every 10% increase in precipitation, the runoff increases by 30.5%. This study provides the scientific basis for water resource planning and sustainable development in the Northeast region and has important practical significance.","PeriodicalId":23725,"journal":{"name":"Water Supply","volume":"12 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140425094","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}

引用次数: 0

An integrated geospatial and analytical hierarchy process approach for sustainable water management in the Amravati District, India 印度阿姆拉瓦蒂地区可持续水资源管理的综合地理空间和层次分析法

Water Supply Pub Date : 2024-02-26 DOI: 10.2166/ws.2024.031

Pranali Kathe, Gaurav Tripathi, Pranaya Diwate, S. Kanga, S. Singh, Kesar Chand, Pankaj Kumar, Gowhar Meraj

{"title":"An integrated geospatial and analytical hierarchy process approach for sustainable water management in the Amravati District, India","authors":"Pranali Kathe, Gaurav Tripathi, Pranaya Diwate, S. Kanga, S. Singh, Kesar Chand, Pankaj Kumar, Gowhar Meraj","doi":"10.2166/ws.2024.031","DOIUrl":"https://doi.org/10.2166/ws.2024.031","url":null,"abstract":"\u0000 \u0000 Groundwater is crucial for agriculture, domestic use, and industry. This study represents groundwater potential zones in the Amravati district, Maharashtra, India, using the analytical hierarchy process (AHP) and multi-influencing factor (MIF) techniques. These techniques are employed for a detailed spatial analysis, which is essential for sustainable groundwater management. The study integrates data layers including lithology, geomorphology, land use/land cover, drainage density, lineament density, rainfall, soil, elevation, and slope to evaluate the groundwater potential. The resulting groundwater potential map classifies the area into five categories: poor, fair, moderate, good, and excellent based on groundwater availability. The study reveals that 9% of the area has poor groundwater potential, 37% fair, 28% moderate, 13% good, and 13% excellent. This map is instrumental for stakeholders and policymakers, as it aids in resource allocation and the formulation of sustainable groundwater management strategies. Through the application of AHP and MIF techniques, this study effectively maps the groundwater potential, providing an essential tool for evidence-based decision-making for water resource management in the Amravati district.","PeriodicalId":23725,"journal":{"name":"Water Supply","volume":"58 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140430945","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}

引用次数: 0

Assessment of the impact of land cover changes on sediment yield: a case study 评估土地覆被变化对沉积物产量的影响：案例研究

Water Supply Pub Date : 2024-02-26 DOI: 10.2166/ws.2024.036

Ş. Güvel

{"title":"Assessment of the impact of land cover changes on sediment yield: a case study","authors":"Ş. Güvel","doi":"10.2166/ws.2024.036","DOIUrl":"https://doi.org/10.2166/ws.2024.036","url":null,"abstract":"\u0000 \u0000 Land use is one of the most important variables impacting river basin water and land resource planning and management. Sediment transport in streams is an important issue in the assessment of sediment deposition in dam reservoirs and its impact on operational activities. Evaluation of sediment yield contributes to decision-makers for effective water management and protection of the dam body and its elements. In this study, land use cover changes, in particular in forest areas, agricultural areas, arable lands, permanent crops, heterogeneous agricultural areas, and pastures in the Çakıt and Körkün sub-basins of the Seyhan River basin were examined between 1990 and 2018 using CORINE land use cover (CLC) data. The effect of land use/land cover (LULC) modifications on sediment yield was studied using suspended sediment observation data and CLC data. It was determined that the forest area in the Çakıt sub-basin drainage area increased between 1990 and 2018, and decreased in the Körkün sub-basin. It was determined that the increase in forest area in the Çakıt sub-basin drainage region until 2018 helped to reduce sediment movement. The regression values between forest area and suspended sediment concentration in Çakıt and Körkün sub-basins were found to be 0.9521 and 0.4431, respectively.","PeriodicalId":23725,"journal":{"name":"Water Supply","volume":"48 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140431499","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}

引用次数: 0

Improving the performance of a condensation water production system through support vector machine modeling and genetic algorithm optimization 通过支持向量机建模和遗传算法优化提高冷凝水生产系统的性能

Water Supply Pub Date : 2024-02-26 DOI: 10.2166/ws.2024.034

Shayan Hajinajaf, Shaban Ghavami Jolandan, Hassan Masoudi, Abbas Rohani

{"title":"Improving the performance of a condensation water production system through support vector machine modeling and genetic algorithm optimization","authors":"Shayan Hajinajaf, Shaban Ghavami Jolandan, Hassan Masoudi, Abbas Rohani","doi":"10.2166/ws.2024.034","DOIUrl":"https://doi.org/10.2166/ws.2024.034","url":null,"abstract":"\u0000 \u0000 Water scarcity is recognized as a critical global concern, especially in rural regions, and one viable solution involves extracting water from atmospheric humidity by leveraging subterranean coldness. This study meticulously evaluates the operational efficacy of a water production system by examining four pivotal factors: buried pipe length (TL), air flow rate (AFR), air temperature (AT), and air humidity (AH). A positive correlation between these variables and water vapor (WV) production is established, with AT exerting the most pronounced influence. Significantly, the analysis of variance reveals the main and interactive effects of the variables, except for TL × AFR, at a 5% significance level. To enhance understanding of the intricate interplay among these factors, a proficient least squares support vector machines model is devised, employing a radial basis function kernel. This model demonstrates an impressive 98% concurrence between projected and empirical data, with a minimal error of 0.66 mL and 5.99%. An in-depth sensitivity analysis underscores the differential impact of AT, AH, TL, and AFR on WV prediction. Optimal values of 3.98 m, 6.89 m3/h, 46.30 °C, and 86.62% for TL, AFR, AT, and AH, respectively, are obtained through subsequent optimization of independent variables using genetic algorithms, resulting in a notable water production of 23.61 mL.","PeriodicalId":23725,"journal":{"name":"Water Supply","volume":"245 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140428109","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}

引用次数: 0

Integrated forecasting method of medium-and long-term runoff by ridge regression based on optimal sub-model selection 基于优化子模型选择的脊回归中长期径流综合预报方法

Water Supply Pub Date : 2024-02-24 DOI: 10.2166/ws.2024.033

Binbin Chen, Zhengdong Chen, Chuping Song, Yanhong Song

引用次数: 0

Risks and farmers' behavior change towards water conservation: a study in the Southeast of Iran 风险与农民节水行为的改变：伊朗东南部的一项研究

Water Supply Pub Date : 2024-02-24 DOI: 10.2166/ws.2024.032

P. Ataei, Hamid Karimi, Zeynab Hallaj, Afshin Mottaghi Dastenaei

{"title":"Risks and farmers' behavior change towards water conservation: a study in the Southeast of Iran","authors":"P. Ataei, Hamid Karimi, Zeynab Hallaj, Afshin Mottaghi Dastenaei","doi":"10.2166/ws.2024.032","DOIUrl":"https://doi.org/10.2166/ws.2024.032","url":null,"abstract":"\u0000 Frequent droughts in Iran have influenced farmers' social and economic lives and have entailed extensive negative consequences. This research aimed to study the process by which farmers adopt water conservation behavior and explore the intervention of perceived risks and risk attitude. This survey was conducted among farmers in the Sistan region in the southeast of Iran (N = 6,000). A sample of 361 farmers was selected by multistage cluster randomization. The research instrument was a researcher-made questionnaire whose reliability was checked by Cronbach's alpha and composite reliability in a pilot study and whose content validity was confirmed by a panel of agricultural sociologists. The data were analyzed using mean, percentage, and structural equation modeling in the SPSSwin26 and AMOS24 software suites. The results reveal that perceived susceptibility, perceived severity, perceived benefits, perceived barriers, self-efficacy, and cues to action influence farmers' water conservation behavior positively and significantly. Also, most components of the health belief model are influenced by farmers' perceived risks and risk attitude. It can be concluded that it is imperative to focus on socio-psychological components to promote water conservation behavior and use water scarcity-coping strategies in Iran.","PeriodicalId":23725,"journal":{"name":"Water Supply","volume":"12 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140434477","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}

引用次数: 0

Measuring water-used and production efficiency in China using the super-efficient directional distance function 利用超高效定向距离函数测量中国的用水和生产效率

Water Supply Pub Date : 2024-02-22 DOI: 10.2166/ws.2024.029

Jun Wang, Ching‐Cheng Lu, Jiayu Zhang, Chen-Ling Cheng

{"title":"Measuring water-used and production efficiency in China using the super-efficient directional distance function","authors":"Jun Wang, Ching‐Cheng Lu, Jiayu Zhang, Chen-Ling Cheng","doi":"10.2166/ws.2024.029","DOIUrl":"https://doi.org/10.2166/ws.2024.029","url":null,"abstract":"\u0000 This study employs the super-efficiency directional distance function (SDDF) to assess the productivity of each administrative region in China over the period 2013–2017. The focus is on exploring variations in gross domestic production and efficiency related to waste gas and wastewater discharge across regions. The inputs include labor, capitalization, energy usage, and total water consumption, with domestic gross production as the output, and total wastewater and exhaust gas discharges as unintended outputs. The findings highlight Beijing, Tianjin, Hainan, Qinghai, Guangdong, Shanghai, Jiangsu, and Shandong as the most efficient regions, while Zhejiang, Ningxia, Hunan, and others exhibit lower performance. Notably, Guangxi ranks lowest (0.631). Unlike traditional DDF models, the SDDF model provides a more accurate estimation of the production efficiency of all 30 administrative regions, and addresses the limitation of generating the same efficiency values of 1 simultaneously for multiple regions. The study emphasizes the need for inefficient regions to reduce water consumption and emissions and enhance productivity, offering valuable insights for policymakers in formulating environmental and production policies.","PeriodicalId":23725,"journal":{"name":"Water Supply","volume":"51 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140440277","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}

引用次数: 0

Water resources carrying capacity to achieve a sustainable ecosystem using support vector regression 利用支持向量回归实现可持续生态系统的水资源承载能力

Water Supply Pub Date : 2024-02-22 DOI: 10.2166/ws.2024.028

Fezollah Mortezazadeh, Mohammad Hossein Pourmohammadi, S. Khoshnavaz, Ebrahim Nohani, Hossein Eslami

{"title":"Water resources carrying capacity to achieve a sustainable ecosystem using support vector regression","authors":"Fezollah Mortezazadeh, Mohammad Hossein Pourmohammadi, S. Khoshnavaz, Ebrahim Nohani, Hossein Eslami","doi":"10.2166/ws.2024.028","DOIUrl":"https://doi.org/10.2166/ws.2024.028","url":null,"abstract":"\u0000 Agricultural water resources carrying capacity has been considered an important problem in recent decades. A comparison of the evaluation indicators of water resources indicated the variation levels of the stability. Machine Learning-Support Vector Regression (ML-SVR) was implemented to formulate the agricultural footprints. The obtained statuses of the water resources have always been characterized by agricultural deficit in the Hendijan plain, Khuzestan province, Iran. Experiments performed outperformed the classical model on both fitted values and the validation value. The results showed that the agricultural footprints from 2010 to 2020 in Iran kept steady with higher levels, while from 2014 to 2016 witnessed a significant decline compared with previous years. The predicted agricultural footprint for the recent 10 years continues to decrease in the semi-arid regions. The predicted results via SVR showed that agricultural footprints from 2017 to 2020 will present a rising trend, meaning the situation of water crisis will be increasingly serious in the eastern parts of the central deserts.","PeriodicalId":23725,"journal":{"name":"Water Supply","volume":"85 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140438234","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}

引用次数: 0

Evaluating of the environmental risks of natural water sources in the Alkalaa municipal community area – South Lebanon 评估黎巴嫩南部阿尔卡拉市社区地区天然水源的环境风险

Water Supply Pub Date : 2024-02-21 DOI: 10.2166/ws.2024.026

M. Khatib, Joseph Hleihel, W. Arairo, Hasan Skienhe, Hussein Mortada

{"title":"Evaluating of the environmental risks of natural water sources in the Alkalaa municipal community area – South Lebanon","authors":"M. Khatib, Joseph Hleihel, W. Arairo, Hasan Skienhe, Hussein Mortada","doi":"10.2166/ws.2024.026","DOIUrl":"https://doi.org/10.2166/ws.2024.026","url":null,"abstract":"\u0000 \u0000 Water is considered a fundamental factor, and plays a role in public health and economic growth. Therefore, it should be free of all kinds of microorganisms, and chemical substances that are dangerous to fauna and flora. Insufficient water supply is one of the issues confronting Middle Eastern countries, and Lebanon becomes a typical example. The objectives of this study are to assess the fundamental physicochemical and microbiological water properties of eight distinct sites, in the Lebanon southeast, were determined, during the Coronavirus pandemic, and the worst economic situation that hit Lebanon. These tests were carried out by the World Health Organization (WHO). The results were utilized to assess the level of environmental pollution. A comparison between the obtained results with other studies: Lebanon southwest and the northwest region of Jordan Valley. The novelty of this study stems from the fact that it is the first to shed light on the degree of pollution level and the lack of environmental education for water conservation and water pollution prevention in this unstudied area, and compares the results locally and regionally. In addition, the obtained results indicate the impact of the Coronavirus on the behavior of the habitants in this region.","PeriodicalId":23725,"journal":{"name":"Water Supply","volume":"4 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140442876","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}

引用次数: 0

Regionally differential water pricing strategy: An example from Karst region of China 地区差别水价战略：以中国喀斯特地区为例

Water Supply Pub Date : 2024-02-21 DOI: 10.2166/ws.2024.030

Fan Yang, N. Riaz, Jianwei Cheng, Guoyong Wu

{"title":"Regionally differential water pricing strategy: An example from Karst region of China","authors":"Fan Yang, N. Riaz, Jianwei Cheng, Guoyong Wu","doi":"10.2166/ws.2024.030","DOIUrl":"https://doi.org/10.2166/ws.2024.030","url":null,"abstract":"\u0000 The main objective of this study is to analyze the water expenditure of 4315 rural households in the Karst region of China. The empirical results have been analyzed by using the extended linear expenditure system model. The study has been based on water expenditure, which provides a feasible differential water pricing strategy in the karst region of China. The result shows that (1) the coefficient for water expenditure has been examined as low. The coefficient of water expenditure in the Karst region ranges from 0.534 to 1.025%, the average value is 0.723%, and the modified coefficient ranges from 0.814 to 1.508%, with an average value of 1.070%. (2) The marginal consumption propensity of rural residents in the Karst region is 0.2%, and the marginal consumption propensity in each province ranges from 0.1 to 1%. (3) The per capita basic water demand has 3 m3. In this scenario, the study recommended that basic water prices range from CNY 2.091 to CNY 3.468 per cubic meter. If the water consumption exceeds basic demand (3 m3 per month), then the bearing water price shall not be lower than CNY 2.091 to CNY 3.468 per cubic meter and not higher than CNY 7.122 per cubic meter.","PeriodicalId":23725,"journal":{"name":"Water Supply","volume":"221 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140443490","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}

引用次数: 0