Water Science & Technology: Water Supply最新文献_第3页

Assessment of the water content of the soil and utilization of the energy balance model to promote environmental-friendly development of green, low-carbon industries 土壤含水量评价与利用能量平衡模型促进绿色低碳产业的环境友好型发展

Water Science & Technology: Water Supply Pub Date : 2023-11-02 DOI: 10.2166/ws.2023.289

Qianhe Xiang

引用次数: 0

Modeling the total outflow of reservoirs using Wavelet-developed approaches: a case study of the Mahabad Dam reservoir, Iran 利用小波发展方法对水库总流出量进行建模:以伊朗马哈巴德大坝水库为例

Water Science & Technology: Water Supply Pub Date : 2023-11-02 DOI: 10.2166/ws.2023.291

Alireza Emadi, Sarvin Zamanzad-Ghavidel, Arezoo Boroomandnia, Sina Fazeli, Reza Sobhani

{"title":"Modeling the total outflow of reservoirs using Wavelet-developed approaches: a case study of the Mahabad Dam reservoir, Iran","authors":"Alireza Emadi, Sarvin Zamanzad-Ghavidel, Arezoo Boroomandnia, Sina Fazeli, Reza Sobhani","doi":"10.2166/ws.2023.291","DOIUrl":"https://doi.org/10.2166/ws.2023.291","url":null,"abstract":"Abstract Lack of water reserves in artificial reservoirs poses serious challenges in meeting various human requirements, especially during periods of water scarcity. In the current research, the Total Outflow (TO) of the Mahabad Dam reservoir has been estimated under six scenarios including the Monthly Cumulative Rainfall (MCR), Snow Water Equivalent (SWE), Stream Flow (SF), Mean Temperature (T), Pan Evaporation (Ep), Sediment Flushing Gate Outlet (SFGO), Penstock Outflow (PO), Evaporation Losses (EL), Cumulative Non-Scheduled Discharge (CNSD), Live Storage Volume (LSV), Water Surface Area (WSA), Monthly Water Level (MWL), Total Allocated Water (TAW), and Generated Power (GP) variables for the 2001–2021 period. Estimation of TO is accomplished via individual and wavelet-developed (W-developed) data-mining approaches, including Artificial Neural Networks (ANNs), wavelet-ANNs (WANNs), adaptive neuro-fuzzy inference system (ANFIS), wavelet-ANFIS (WANFIS), Gene Expression Programming (GEP), and wavelet-GEP (WGEP). The obtained values of RMSE for WGEP1–WGEP6 models account for 5.917, 2.319, 4.289, 8.329, 10.713, and 9.789 million cubic meters (MCM), respectively, based on the following scenarios: reservoir inlet elements, reservoir outlet elements, consumption, storage characteristic, climate, and energy. This research revealed that combining the wavelet theory (WT) with individual models can be a powerful method to improve the modeling performance in the TO estimation.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"14 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135932822","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

Economic value of virtual water with the approach of maximizing the productivity of irrigation water 虚拟水的经济价值与灌溉用水生产率最大化的方法

Water Science & Technology: Water Supply Pub Date : 2023-11-02 DOI: 10.2166/ws.2023.292

Linyuan Du

{"title":"Economic value of virtual water with the approach of maximizing the productivity of irrigation water","authors":"Linyuan Du","doi":"10.2166/ws.2023.292","DOIUrl":"https://doi.org/10.2166/ws.2023.292","url":null,"abstract":"Abstract The increasing use of water and the decrease in average rainfall along with climate change have caused the reduction of water resources in arid and semi-arid regions. In addition, despite the consumption of more than half of these resources in the agricultural sector, a rate between 0 and 15% of the price of the products has always been received from the farmers. Considering the concept of virtual water and the water content of products in the form of green water, blue water and gray water, the present research has calculated the economic value of virtual water of agricultural products with the approach of maximizing water use efficiency. The investigated sample includes eight cities (counties) of Sanmenxia, Jiaozuo, Nanyang, Shangqiu, Puyang, Luohe, Luoyang and Kaifeng and six agricultural products (wheat, barley, potato, rapeseed, tomato and corn). A fuzzy dynamic programming model has been used to evaluate the objective function. The results showed that the maximum and minimum economic value of water content (sum of surface and groundwater) of the products were estimated for Kaifeng and Shangqiu regions equal to 1.16 and 0.86 Yuan/m3, respectively.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"14 S1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135932823","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

Boosting flood routing prediction performance through a hybrid approach using empirical mode decomposition and neural networks: a case study of the Mera River in Ankara 通过使用经验模态分解和神经网络的混合方法提高洪水路径预测性能:安卡拉梅拉河的案例研究

Water Science & Technology: Water Supply Pub Date : 2023-10-31 DOI: 10.2166/ws.2023.288

Okan Mert Katipoglu, Metin Sarıgöl

{"title":"Boosting flood routing prediction performance through a hybrid approach using empirical mode decomposition and neural networks: a case study of the Mera River in Ankara","authors":"Okan Mert Katipoglu, Metin Sarıgöl","doi":"10.2166/ws.2023.288","DOIUrl":"https://doi.org/10.2166/ws.2023.288","url":null,"abstract":"Abstract Flood routing is vital in helping to reduce the impact of floods on people and communities by allowing timely and appropriate responses. In this study, the empirical mode decomposition (EMD) signal decomposition technique is combined with cascade forward backpropagation neural network (CFBNN) and feed-forward backpropagation neural network (FFBNN) machine learning (ML) techniques to model 2014 floods in Ankara, Mera River. The data are split in order to avoid the underfitting and overfitting problems of the algorithm. While establishing the algorithm, 70% of the data were divided into training, 15% testing and 15% validation. Graphical indicators and statistical parameters were used for the analysis of model performance. As a result, the EMD signal decomposition technique has been found to improve the performance of ML models. In addition, the EMD-FFBNN hybrid model showed the most accurate estimation results in the flood routing calculation. The study's outputs can assist in designing flood control structures such as levees and dams to help reduce flood risk.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135869881","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

Assessing the quality of the municipal wastewater used for irrigation in Jodhpur, Rajasthan, India 评估印度拉贾斯坦邦焦特布尔用于灌溉的城市污水的质量

Water Science & Technology: Water Supply Pub Date : 2023-10-28 DOI: 10.2166/ws.2023.285

Poonam Poonia, Loveena Gaur, Sangeeta Parihar, Suresh Kumar Pachak

{"title":"Assessing the quality of the municipal wastewater used for irrigation in Jodhpur, Rajasthan, India","authors":"Poonam Poonia, Loveena Gaur, Sangeeta Parihar, Suresh Kumar Pachak","doi":"10.2166/ws.2023.285","DOIUrl":"https://doi.org/10.2166/ws.2023.285","url":null,"abstract":"Abstract Municipal wastewater has been inevitably rising over time with the growing population, rapid urbanisation, and expanding sewerages. This study was conducted in the Jodhpur district of Western Rajasthan, India, which has a hot semi-arid climate and faces an acute shortage of good-quality water for irrigation. As a result, municipal wastewater is being used in agricultural fields in urban and peri-urban areas of Jodhpur. This study evaluates the suitability of municipal wastewater for irrigation in agriculture. Samples were collected from the Basni Bedan drainage area during December, 2022 and were analysed for various physico-chemical and biological parameters. The SAR value and EC were observed as 13 + 0.20 Meq/L and 1352.5 + 20.11 μS cm−1. BOD, DO, and COD values were obtained 56 + 2.57, 365 + 7.64, and 3.55 + 0.13 mg/L, respectively, which were above the Indian Standard permissible levels. High levels of total coliform counts, 177.5 + 4.86 MPN/100mL, were found. Statistical analysis reveals a positive correlation for pairs chemical oxygen demand (COD) and biochemical oxygen demand (BOD) (R=0.98) and a negative correlation for pairs BOD and dissolved oxygen (DO) (R=0.99). It was concluded that the studied wastewater is polluted and may cause potential health risks. There is a need for proper planning and strategies to develop an economical viable treatment system for sustainable agricultural management.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"131 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136232535","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 drought variability in the Marrakech-Safi region (Morocco) at different time scales using GIS and remote sensing 基于GIS和遥感的摩洛哥马拉喀什-萨菲地区不同时间尺度干旱变率评估

Water Science & Technology: Water Supply Pub Date : 2023-10-27 DOI: 10.2166/ws.2023.283

Chaima Elair, Khalid Rkha Chaham, Abdessamad Hadri

{"title":"Assessment of drought variability in the Marrakech-Safi region (Morocco) at different time scales using GIS and remote sensing","authors":"Chaima Elair, Khalid Rkha Chaham, Abdessamad Hadri","doi":"10.2166/ws.2023.283","DOIUrl":"https://doi.org/10.2166/ws.2023.283","url":null,"abstract":"Abstract In the semi-arid Marrakech-Safi (MS) region of southwest Morocco, climate change has amplified drought occurrences, posing significant threats to water resources and agriculture. A comprehensive understanding of drought patterns is imperative to manage these risks and enhance resilience effectively. Precipitation from 18 pluviometer stations was employed to analyze meteorological drought using the standardized precipitation index (SPI) from 1980 to 2018. Additionally, agricultural drought is quantified using three remote sensing-driven indices: vegetation condition index (VCI), temperature conditions index (TCI), and vegetation health index (VHI) from 2000 to 2018. These indices are correlated with SPI to evaluate their performance and gauge vegetation sensitivity to meteorological drought. The Mann–Kendall test assesses trends in drought events and their severity. The results demonstrated that SPI, VCI, TCI, and VHI experienced alternating dry and wet periods with an overall upward trend, especially in mountainous areas, plateau zones, and Haouz plain of the MS region. The correlation analysis establishes a significant relationship between remote sensing-based indices and SPI-6, with mean correlation coefficients exceeding 0.6. The findings underscore the importance of considering multiple time scales to comprehensively assess climate's impact on vegetation. Seasonal drought trends analysis indicates no significant negative trends in winter and spring but positive trends in autumn.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136263590","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

Operating inlet pressure head assessment for multi-outlet submain manifolds in a low-pressurized water distribution network system 低压配水管网多出口副总管运行入口压头评估

Water Science & Technology: Water Supply Pub Date : 2023-10-27 DOI: 10.2166/ws.2023.280

Gürol Yıldırım

{"title":"Operating inlet pressure head assessment for multi-outlet submain manifolds in a low-pressurized water distribution network system","authors":"Gürol Yıldırım","doi":"10.2166/ws.2023.280","DOIUrl":"https://doi.org/10.2166/ws.2023.280","url":null,"abstract":"Abstract Multi-outlet pipes can be used to distribute and collect fluids and have applications in various engineering fields, especially in the water supply system. The hydraulic design of a submain unit pipeline with multiple outlets is a very important concern for the proper hydraulic performance of irrigation water distribution systems. The operating inlet pressure head, H0I, is a main hydraulic component for the proper hydraulically efficient design and evaluation of pressure head distribution along the line. The energy-gradient ratio (EGR) approach is a useful tool to identify first which type of pressure profile occurs for a given uniform design slope with other hydraulic variables initially known and then, comprehensively evaluate its definite hydraulic characteristics along the line. Knowing the hydraulic properties of any type of pressure profile regarded enables the design engineer to evaluate pressure parameters through the line sections in a simple way. The procedure is simplified by regarding the localized head loss along the pipe but neglecting the change in kinetic head. The present analytical technique performs sufficiently accurate in comparison with the computer-aided software design technique, for all performed simulations.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"46 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136318302","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–energy–food Nexus based on a new perspective of regional sustainable development 基于区域可持续发展新视角的水-能-粮关系

Water Science & Technology: Water Supply Pub Date : 2023-10-27 DOI: 10.2166/ws.2023.281

Mocheng Zhu

{"title":"Water–energy–food Nexus based on a new perspective of regional sustainable development","authors":"Mocheng Zhu","doi":"10.2166/ws.2023.281","DOIUrl":"https://doi.org/10.2166/ws.2023.281","url":null,"abstract":"Abstract By constructing a regional water–energy–food interaction model, from the perspectives of supply and demand, this study has revealed both the coupling and synergistic effects of the three major elements of water–energy–food at the regional level and the interaction between internal and external resources in the region, and explored the sustainable development of the region under the association of the three major elements of water–energy–food. In this paper, the energy supply and demand measurement model and the optimal regional total cost measurement model were used to optimize the regional total cost measurement. This paper briefly introduces the concepts, application scope, and limitations of scenario analysis. Because the future development of society is very uncertain, it is a very useful tool for predicting and calculating the future scenario and sustainable development of the region. Agricultural water accounted for 55% of the total water resources, and industrial water accounted for 18%. This paper took the main grain-producing areas as an example and enriched the existing research on the water–energy–food relationship to a certain extent by analyzing the current situation and influencing factors of the synergistic development of water–energy–food systems, offering reference to the subsequent related research.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"40 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136235575","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

Sniffer dogs as an emerging approach for water leakage detection 嗅探犬是侦测漏水的新方法

Water Science & Technology: Water Supply Pub Date : 2023-10-27 DOI: 10.2166/ws.2023.284

Jiazhi Zhong, Dongdong Chen

引用次数: 0

Water level prediction of Liuxihe Reservoir based on improved long short-term memory neural network 基于改进型长短期记忆神经网络的柳溪河水库水位预测

Water Science & Technology: Water Supply Pub Date : 2023-10-27 DOI: 10.2166/ws.2023.282

Youming Li, Jia Qu, Haosen Zhang, Yan Long, Shu Li

{"title":"Water level prediction of Liuxihe Reservoir based on improved long short-term memory neural network","authors":"Youming Li, Jia Qu, Haosen Zhang, Yan Long, Shu Li","doi":"10.2166/ws.2023.282","DOIUrl":"https://doi.org/10.2166/ws.2023.282","url":null,"abstract":"Abstract To meet the demand of accurate water level prediction of the reservoir in Liuxihe River Basin, this paper proposes an improved long short-term memory (LSTM) neural network based on the Bayesian optimization algorithm and wavelet decomposition coupling. Based on the improved model, the water levels of Liuxihe Reservoir and Huanglongdai Reservoir are simulated and predicted by the 1 h prediction length, and the prediction accuracy of the improved model is verified separately by the 3, 6 and 12 h prediction lengths. The results show that: first, Bayesian optimization coupling can significantly reduce the average absolute error and root mean square error of the model and improve the overall prediction accuracy, but this algorithm is insufficient in the optimization of model extremum; Wavelet decomposition coupling can significantly reduce the outliers in model prediction and improve the accuracy of extremum, but it plays relatively weaker role in the overall optimization of the model. Second, by the prediction lengths of 1, 3, 6 and 12 h, the improved model based on the LSTM neural network and coupled with Bayesian optimization and wavelet decomposition is superior to Bayesian optimization and wavelet decomposition coupling model in overall prediction accuracy and prediction accuracy of extremum.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136263577","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