Water Practice & Technology最新文献_第4页

Water hammer stress on water transmission line 输水管线上的水锤应力

Water Practice & Technology Pub Date : 2024-06-05 DOI: 10.2166/wpt.2024.148

Kaveh Hariri Asli, Shahram Falahatkar, Maryam Dayemi Gorabi

{"title":"Water hammer stress on water transmission line","authors":"Kaveh Hariri Asli, Shahram Falahatkar, Maryam Dayemi Gorabi","doi":"10.2166/wpt.2024.148","DOIUrl":"https://doi.org/10.2166/wpt.2024.148","url":null,"abstract":"\u0000 \u0000 The present work investigated the pressure changes caused by water hammer through the georeferenced model to investigate the stress impact on water transmission lines. The results of the hydraulic analysis of the research showed that the sudden stop of the pumps in the transmission line 1,600 m in length caused negative pressures of −5 to −10 (bar). In pressure values close to −10 (bar), the water vaporization, cavitation, and separation of the column happened. The maximum pressure in the transmission line was calculated to be 43 (mH2O) and the minimum pressure in the transmission line was 10 (mH2O). The relative vacuum mentioned in the transmission line as a destructive factor caused two columns of steam and water to collide. The collision of two columns caused a great pressure that had the potential to destroy the transmission line. The research results showed that the maximum amount of elastic strain was equal to 0.0016772 mm/m. The equivalent stress beneath the pipe varied from 0.000 to 0.0700 m and the maximum stress value was 3.3535E7 (Pascal). The maximum amount of deformation or change in the shape and size of the pipe due to the applied stress (0.000–0.0700 m) was equivalent to −1.9287E5 m.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":"3 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141383807","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

Development of machine learning models for estimation of daily evaporation and mean temperature: a case study in New Delhi, India 开发用于估算日蒸发量和平均气温的机器学习模型：印度新德里的案例研究

Water Practice & Technology Pub Date : 2024-06-04 DOI: 10.2166/wpt.2024.144

Jitendra Rajput, N. L. Kushwaha, Aman Srivastava, C. Pande, Triptimayee Suna, D. R. Sena, D. K. Singh, A. K. Mishra, P. K. Sahoo, A. Elbeltagi

{"title":"Development of machine learning models for estimation of daily evaporation and mean temperature: a case study in New Delhi, India","authors":"Jitendra Rajput, N. L. Kushwaha, Aman Srivastava, C. Pande, Triptimayee Suna, D. R. Sena, D. K. Singh, A. K. Mishra, P. K. Sahoo, A. Elbeltagi","doi":"10.2166/wpt.2024.144","DOIUrl":"https://doi.org/10.2166/wpt.2024.144","url":null,"abstract":"\u0000 \u0000 Accurate prediction of pan evaporation and mean temperature is crucial for effective water resources management, influencing the hydrological cycle and impacting water availability. This study focused on New Delhi's semi-arid climate, data spanning 31 years (1990–2020) were used to predict these variables using advanced algorithms such as Bagging, Random Subspace (RSS), M5P, and REPTree. The models were rigorously evaluated using 10 performance metrics, including correlation coefficient, mean absolute error (MAE), and Nash–Sutcliffe Efficiency (NSE) model coefficient. The Bagging model emerged as the best model with performance indices values as r, MAE, RMSE, RAE, RRSE, MBE NSE, d, KGE, and MAPE as 0.86, 0.76, 1.43, 32.70, 49.44, 0.03, 0.85, 0.96, 0.90, and 22.0, respectively, during model testing phase for pan evaporation prediction. In predicting mean temperature, the Bagging model reported the best results with performance indices values as r, MAE, RMSE, RAE, RRSE, MBE NSE, d, KGE, and MAPE as 0.86, 0.76, 1.43, 32.70, 49.44, 0.03, 0.85, 0.96, 0.90 and 22.0, respectively, during the model testing phase. These findings offer valuable insights for enhancing relative humidity prediction models in diverse climatic conditions. The Bagging model's robust performance underscores its potential application in water resource management.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":"4 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141267251","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

Analyzing non-revenue water dynamics in Rwanda: leveraging machine learning predictive modeling for comprehensive insights and mitigation strategies 分析卢旺达无收入水动态：利用机器学习预测模型获得全面见解和缓解战略

Water Practice & Technology Pub Date : 2024-06-04 DOI: 10.2166/wpt.2024.145

Janvier Mwitirehe, Cheruiyot W. Kipruto, C. Ruranga

{"title":"Analyzing non-revenue water dynamics in Rwanda: leveraging machine learning predictive modeling for comprehensive insights and mitigation strategies","authors":"Janvier Mwitirehe, Cheruiyot W. Kipruto, C. Ruranga","doi":"10.2166/wpt.2024.145","DOIUrl":"https://doi.org/10.2166/wpt.2024.145","url":null,"abstract":"\u0000 \u0000 This study investigated non-revenue water (NRW) dynamics in Rwanda from 1 July 2014 to 30 June 2023, utilizing panel data and cross-sectional datasets. It aimed to assess progress toward achieving the government's 25% NRW reduction target. Through panel data analysis and machine learning models, it examined water supply variations, NRW levels, and associated risks across fiscal years and regions. The observed average NRW of 41.24% underscores the need for targeted interventions to meet the set target. Regional disparities, exemplified by Kigali City's water network's 38.61% average NRW compared to Nyagatare's 55.31%, emphasize the importance of tailored strategies. Machine learning models indicated low and inconsistent progress across networks. Notably, no single water supply managed to meet the target in more than 20% of the 36 quarters studied. Comparison with existing literature highlighted excessive NRW in Rwanda, aligning with global trends. Achieving the 25% NRW target requires region-specific approaches, necessitating infrastructure improvements, leak detection, and capacity building. The positive correlation between water loss risk and household access to improved water sources accentuated the complexity in NRW reduction efforts. This study contributes to understanding NRW dynamics and informs sustainable water management strategies tailored to Rwanda's context.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":"9 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141267661","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

Flood inundation mapping under climate change scenarios: insights from CMIP6 气候变化情景下的洪水淹没绘图：CMIP6 的启示

Water Practice & Technology Pub Date : 2024-06-04 DOI: 10.2166/wpt.2024.146

Hazrat Younus Sadiqzai, A. Khan, F. Khan, Basir Ullah, Jehanzeb Khan

{"title":"Flood inundation mapping under climate change scenarios: insights from CMIP6","authors":"Hazrat Younus Sadiqzai, A. Khan, F. Khan, Basir Ullah, Jehanzeb Khan","doi":"10.2166/wpt.2024.146","DOIUrl":"https://doi.org/10.2166/wpt.2024.146","url":null,"abstract":"\u0000 The present research endeavors to simulate daily stream flow by employing hydrologic and hydraulic modeling techniques to comprehensively assess the impact of climate change on flood risk. This investigation was conducted within the Shekhan basin, situated in the eighth zone of Jalalabad City, Afghanistan. The efficacy of the HEC-HMS model was meticulously evaluated for each individual flood event during both calibration (Jan/2015-October/2019) and validation (November/2019-July/2022) phases using various statistical performance indicators, notably the coefficient of determination (R2), Nash–Sutcliffe efficiency (NSE), and percent bias (PBIAS). During calibration, the HEC-HMS model yielded R2, NSE, and PBIAS values of 0.8795, 0.86, and 12%, respectively, while during validation, these metrics stood at 0.85, 0.8, and 9%, respectively. Among the five GCM models (INM-CM4-8, INM-CM5-0, MIROC6, MPI-ESM1-2-LR, MRI-ESM-2-0) examined, the MPI-ESM1-2-LR demonstrated superior performance based on Taylor Skill Score and Rating Metric analysis. Additionally, the HEC-SSP was employed to scrutinize precipitation frequency and to fit ranking distributions for GCM SSP245 and SSP585 scenarios. Subsequently, the aforementioned GCM data were utilized in hydrologic modeling to generate hydrographs for various return periods, while hydraulic modeling via the HEC-RAS 2D model facilitated the creation of flood inundation maps for different return periods.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":"60 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141387526","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

In-depth simulation of rainfall–runoff relationships using machine learning methods 利用机器学习方法深入模拟降雨-径流关系

Water Practice & Technology Pub Date : 2024-06-03 DOI: 10.2166/wpt.2024.147

M. Fuladipanah, Alireza Shahhosseini, Namal Rathnayake, H. M. Azamathulla, Upaka S. Rathnayake, D. Meddage, K. Tota-Maharaj

{"title":"In-depth simulation of rainfall–runoff relationships using machine learning methods","authors":"M. Fuladipanah, Alireza Shahhosseini, Namal Rathnayake, H. M. Azamathulla, Upaka S. Rathnayake, D. Meddage, K. Tota-Maharaj","doi":"10.2166/wpt.2024.147","DOIUrl":"https://doi.org/10.2166/wpt.2024.147","url":null,"abstract":"\u0000 Measurement inaccuracies and the absence of precise parameters value in conceptual and analytical models pose challenges in simulating the rainfall–runoff modeling (RRM). Accurate prediction of water resources, especially in water scarcity conditions, plays a distinctive and pivotal role in decision-making within water resource management. The significance of machine learning models (MLMs) has become pronounced in addressing these issues. In this context, the forthcoming research endeavors to model the RRM utilizing four MLMs: Support Vector Machine, Gene Expression Programming (GEP), Multilayer Perceptron, and Multivariate Adaptive Regression Splines (MARS). The simulation will be conducted within the Malwathu Oya watershed, employing a dataset comprising 4,765 daily observations spanning from July 18, 2005, to September 30, 2018, gathered from rainfall stations, and Kappachichiya hydrometric station. Of all input combinations, the model incorporating the input parameters Qt−1, Qt−2, and R̄t was identified as the optimal configuration among the considered alternatives. The models' performance was assessed through root mean square error (RMSE), mean average error (MAE), coefficient of determination (R2), and developed discrepancy ratio (DDR). The GEP model emerged as the superior choice, with corresponding index values (RMSE, MAE, R2, DDRmax) of (43.028, 9.991, 0.909, 0.736) during the training process and (40.561, 10.565, 0.832, 1.038) during the testing process.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":"71 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141272391","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

Comparison and evaluation of hydrologic performance of satellite, reanalysis and climate model-based precipitation products in the Upper Awash River Basin, Ethiopia 埃塞俄比亚阿瓦什河上游流域卫星、再分析和基于气候模式的降水产品的水文性能比较与评估

Water Practice & Technology Pub Date : 2024-05-22 DOI: 10.2166/wpt.2024.134

Salih Duri Abdulahi, Sead Burhan Husen, A. Muleta

{"title":"Comparison and evaluation of hydrologic performance of satellite, reanalysis and climate model-based precipitation products in the Upper Awash River Basin, Ethiopia","authors":"Salih Duri Abdulahi, Sead Burhan Husen, A. Muleta","doi":"10.2166/wpt.2024.134","DOIUrl":"https://doi.org/10.2166/wpt.2024.134","url":null,"abstract":"\u0000 \u0000 A number of open-source precipitation products offer viable options for hydrological simulation in the absence/limited rain gauge station networks. This study examined the hydrologic performance of reanalysis (CFSR), satellite (CHIRPS) and regional climate model (RACMO22T) based precipitation estimates through Hydrologiska Byråns Vattenbalansavdelning (HBV) model. The performance of these precipitation products were evaluated by the graphical and statistical indices such as coefficient of determination (R2), Nash-Sutcliffe efficiency (NSE), percentage of bias (PBIAS), and mean square error (RMSE) at daily and monthly scales. RACMO22T precipitation product was competent based on all the evaluation statistical indices criteria to simulate flow whereas; CHIRPS and CFSR were unsatisfactory based on the PBIAS and RSME. Flow duration curves indicated that, RACMO22T was able to better estimate high, medium and low flow than CHIRPS and CFSR. The outcome suggested that, RACMO22T is thought to be a more feasible option for the hydrologic simulation than CHIRPS and CFSR in the UARB. Furthermore, the hydrologic performance was improved on monthly scales than daily for all precipitation products. The study therefore, suggested that the use of regional climate model based precipitation products for hydrologic simulation would be of great benefit considering the difficulties in accessing data across and similar basin.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":"28 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141109646","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

Optimization and modeling of solar photocatalytic degradation of raw textile wastewater dyes using green ZnO-ED NPs by RSM 利用 RSM 对绿色 ZnO-ED NPs 太阳能光催化降解纺织废水原染料进行优化和建模

Water Practice & Technology Pub Date : 2024-05-21 DOI: 10.2166/wpt.2024.132

H. Dihom, R. M. S. R. Mohamed, A. Al-Gheethi, Wan Afnizan Bin Wan Mohamed

引用次数: 0

Impact of leachate on groundwater quality using physicochemical characteristics 利用物理化学特征分析沥滤液对地下水质量的影响

Water Practice & Technology Pub Date : 2024-05-20 DOI: 10.2166/wpt.2024.127

Tarekegn Tadesse Weju, Zerihun Getaneh

{"title":"Impact of leachate on groundwater quality using physicochemical characteristics","authors":"Tarekegn Tadesse Weju, Zerihun Getaneh","doi":"10.2166/wpt.2024.127","DOIUrl":"https://doi.org/10.2166/wpt.2024.127","url":null,"abstract":"\u0000 \u0000 This study assesses the impact of Koshe open dump site leachate on nearby groundwater quality. Groundwater quality is threatened by open dump sites. Groundwater samples around Koshe open dump sites showed elevated levels of various physicochemical characteristics, including Electrical conductivity (EC), Potassium (K), Iron (Fe), Chromium (Cr3), Lead (Pb), Mercury (Hg), Total Alkalinity, Nitrate (NO3−), Phosphate (PO4+), Cadmium (Cd), Bicarbonates (HCO3−), Arsenic (As), Salinity, Cobalt (Co), and Silicon (Si), exceeding Ethiopian, WHO, and EPA drinking water quality standards. Among the sampled wells, the one located at Ayer Tena High School, upstream of Koshe, exhibited significantly lower concentrations of parameters indicating leachate impact on groundwater quality As, Cd, Cr3, Pb, Hg, Molybdenum (Mo), NO3-, K, and PO4+ compared to others. The presence of these parameters in nearby groundwater wells suggests a substantial impact of the Koshe dump site on groundwater quality. Traditional landfills and dump sites must be outlawed, and new hygienic landfills must be constructed in a convenient location to end the continued groundwater pollution.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":"32 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141120585","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

Sediment control and flow redistribution with submerged vanes: a review 利用沉水叶片控制沉积物和水流再分布：综述

Water Practice & Technology Pub Date : 2024-05-17 DOI: 10.2166/wpt.2024.131

Anirban Mandal, Hariom Gautam, Zulfequar Ahmad

引用次数: 0

Connecting digital twins to control collections systems and water resource recovery facilities: From siloed to integrated urban (waste)water management 连接数字双胞胎，控制收集系统和水资源回收设施：从各自为政到城市（废水）综合管理

Water Practice & Technology Pub Date : 2024-05-17 DOI: 10.2166/wpt.2024.128

Douglas John Lumley, Fabio Polesel, Henrik Refstrup Sørensen, Lars-Göran Gustafsson

{"title":"Connecting digital twins to control collections systems and water resource recovery facilities: From siloed to integrated urban (waste)water management","authors":"Douglas John Lumley, Fabio Polesel, Henrik Refstrup Sørensen, Lars-Göran Gustafsson","doi":"10.2166/wpt.2024.128","DOIUrl":"https://doi.org/10.2166/wpt.2024.128","url":null,"abstract":"\u0000 \u0000 The use of digital twins is a rapidly emerging field for improved real-time control (RTC) and decision support for the operation of collection systems and water resource recovery facilities (WRRFs). Digital twins for collection systems can help minimize the impacts of flow variation due to extreme weather events, attenuate flows to the WRRF, and reduce sewer overflows and the associated effects. Similarly, digital twins for WRRFs can help improve process, energy, and cost efficiency, fully utilise plant volumes, reduce carbon footprint, and support operator training. The current study provides an overview of two digital twin applications for collection systems (Future City Flow) and WRRFs (TwinPlant) and presents a first example of digital twin integration for proactive collection system-WRRF operation under wet-weather conditions. Current applications of the integrated digital twin are described, including (i) proactive implementation of wet-weather operation mode in WRRF based on inflow forecast and (ii) evaluation of the impacts of RTC in collection systems on WRRF performance. Other potential application examples are described together with the challenges related to the use of this solution. Overall, this new approach has a wide potential to support the cooperation within water utilities towards the adoption of integrated wastewater management.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":"5 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140963816","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 Practice &amp; Technology最新文献

Water Practice & Technology最新文献