Water Supply最新文献

Studying the applicability of electrodialysis technology to treat groundwater in CKDu regions, Sri Lanka: operational parameter optimization of the pilot project 研究电渗析技术处理斯里兰卡 CKDu 地区地下水的适用性：试点项目的运行参数优化

Water Supply Pub Date : 2024-08-09 DOI: 10.2166/ws.2024.186

T. P. Malalagama, Yang Fan, Binghui Tian, Li Han Fei, Yang Min

{"title":"Studying the applicability of electrodialysis technology to treat groundwater in CKDu regions, Sri Lanka: operational parameter optimization of the pilot project","authors":"T. P. Malalagama, Yang Fan, Binghui Tian, Li Han Fei, Yang Min","doi":"10.2166/ws.2024.186","DOIUrl":"https://doi.org/10.2166/ws.2024.186","url":null,"abstract":"\u0000 \u0000 The population in dry regions relies mainly on groundwater for their water needs in Sri Lanka. The use of the ED process for groundwater treatment has increased globally, and Sri Lanka is also considering introducing ED technology to treat groundwater in rural areas due to its relatively high efficiency and ease of operation compared to other membrane technologies. A pilot plant was installed in Kahatagasdigiliya, NCP, Sri Lanka focusing on the selective removal of problematic ions identified in the area. Operational parameters were adjusted to remove identified problematic ions during the TED process, and suitable operational parameters were selected considering treated water quality and the water demand of villagers. TED was operated at a selected condition of 12 m3/h flow rate and 45 V voltage. The final effluent water quality parameters are below SLS 614:2013 water quality limits, with a higher removal efficiency of 65.63% (hardness) and 55.37% (F−). This TED system with a capacity of 260 m3/day has been operational since 2017 in Sri Lanka, providing better quality water to villagers and ensuring water safety in the area. This pilot TED suggests possible guidance for operating ED to achieve better selective removal of problematic ions in drinking water in real-world applications.","PeriodicalId":23725,"journal":{"name":"Water Supply","volume":"51 35","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141923657","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 modeling using HEC-RAS 2D and IBER 2D: a comparative study 使用 HEC-RAS 2D 和 IBER 2D 进行洪水模拟：比较研究

Water Supply Pub Date : 2024-08-08 DOI: 10.2166/ws.2024.184

Sid Ali Djafri, Sonia Cherhabil, M. A. Hafnaoui, Mohammed Madi

引用次数: 0

Qualitative analysis of physico-chemical parameters of packaged drinking water commercially available in India 印度市售包装饮用水理化参数的定性分析

Water Supply Pub Date : 2024-06-14 DOI: 10.2166/ws.2024.143

Archana Thakur, Jaspal Singh

引用次数: 0

Unmanned surface vehicle for intelligent water quality assessment to promote sustainable human health 用于智能水质评估的无人水面飞行器，促进可持续人类健康

Water Supply Pub Date : 2024-06-14 DOI: 10.2166/ws.2024.141

Muhammad Ibtsaam Qadir, R. Mumtaz, Mariam Manzoor, Misbah Saleem, Muhammad Ajmal Khan, Susanne Charlesworth

{"title":"Unmanned surface vehicle for intelligent water quality assessment to promote sustainable human health","authors":"Muhammad Ibtsaam Qadir, R. Mumtaz, Mariam Manzoor, Misbah Saleem, Muhammad Ajmal Khan, Susanne Charlesworth","doi":"10.2166/ws.2024.141","DOIUrl":"https://doi.org/10.2166/ws.2024.141","url":null,"abstract":"\u0000 Deteriorating water quality poses significant health risks globally, with billions at risk of waterborne diseases due to contamination. Limited data on water quality heightens these risks as conventional monitoring methods lack comprehensive coverage. While technologies like Internet of Things and machine learning offer real-time monitoring capabilities, they often provide point data insufficient for assessing entire water bodies. Remote sensing, though useful, has limitations such as measuring only optical parameters and being affected by climate and resolution issues. To address these challenges, an unmanned surface vehicle named ‘AquaDrone’ has been developed. AquaDrone traverses water bodies, collecting data on four key parameters (pH, dissolved oxygen, electrical conductivity, and temperature) along with GPS coordinates. These data are transmitted to a web portal via LoRa communication and Wi-Fi, where visualizations like trendlines and color-coded heatmaps are generated. A multilayer perceptron classifies water quality into five categories, aiding in real-time assessment. The AquaDrone system offers a feasible solution for monitoring small to medium-sized water bodies, crucial for safeguarding public health.","PeriodicalId":23725,"journal":{"name":"Water Supply","volume":"118 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141341865","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

Estimation of the crop water stress index (CWSI) of sunflower (Helianthus annuus L.) using sensor-based irrigation scheduling for different irrigation levels 利用不同灌溉水平下的传感器灌溉调度估算向日葵（Helianthus annuus L.）的作物水分胁迫指数（CWSI）

Water Supply Pub Date : 2024-06-14 DOI: 10.2166/ws.2024.139

Dnyaneshwar Arjun Madane, Samiksha, Gurveer Kaur

{"title":"Estimation of the crop water stress index (CWSI) of sunflower (Helianthus annuus L.) using sensor-based irrigation scheduling for different irrigation levels","authors":"Dnyaneshwar Arjun Madane, Samiksha, Gurveer Kaur","doi":"10.2166/ws.2024.139","DOIUrl":"https://doi.org/10.2166/ws.2024.139","url":null,"abstract":"\u0000 \u0000 The crop water stress index (CWSI) is an important technique for determining stress levels in the plant and directing irrigation management techniques. To determine the CWSI for sunflower, a pot-based research trial was carried out in the research field of the Department of Soil and Water Engineering, PAU, Ludhiana (India) during the summer of 2023. The sensor-based irrigation scheduling was carried out on the basis of the depletion of total available soil moisture (TASM). The drip irrigation treatments consist of I1 (full irrigation), I2 (20% depletion of TASM), and I3 (40% depletion of TASM). The results revealed that the highest amount of water applied under I1 was recorded at 484.4 mm, while I2 (387.5 mm) and I3 (290.7 mm) during the growing season of sunflower. The results revealed that for kernel diameter and seed weight, I1 and I2 were statistically non-significant to each other while I1 and I3 were statistically significant to each other. The highest water productivity recorded for I2, followed by I3. The overall findings revealed that an average CWSI value of 0.85 for the sunflower crop falls within the range of lower and upper baselines. The response of physico-chemical properties of sunflower seeds showed a high correlation with the draught condition.","PeriodicalId":23725,"journal":{"name":"Water Supply","volume":"59 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141338873","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

Emergency monitoring layout model for sudden water pollution accidents in water distribution networks 输水管网突发水污染事故应急监测布局模型

Water Supply Pub Date : 2024-06-14 DOI: 10.2166/ws.2024.140

Haidong Yang, Aihua Wang, Biyu Liu

引用次数: 0

Adaptation strategies for cumin in Sabzevar, Iran: planting date and irrigation management 伊朗 Sabzevar 地区小茴香的适应策略：种植日期和灌溉管理

Water Supply Pub Date : 2024-06-14 DOI: 10.2166/ws.2024.142

Hasan Rivandi, S. Rezvan, M. Moeini, J. Sinaki, A. Damavandi

{"title":"Adaptation strategies for cumin in Sabzevar, Iran: planting date and irrigation management","authors":"Hasan Rivandi, S. Rezvan, M. Moeini, J. Sinaki, A. Damavandi","doi":"10.2166/ws.2024.142","DOIUrl":"https://doi.org/10.2166/ws.2024.142","url":null,"abstract":"\u0000 The current study aimed to investigate the effect of planting date and irrigation on some characteristics of cumin cultivated in Iran. The experimental characteristics included three planting dates and five irrigation regimes. Irrigation at flowering + seed filling stage and full irrigation had the highest essential oil content (3.6%) and plant height (16.71 cm), respectively. On all planting dates, irrigation enhanced the total chlorophyll and carotenoids content, relative water content, umbel number plant−1, seed number umbel−1, 1,000-seed weight, and seed yield but reduced the proline content and water-use efficiency (WUE). The highest chlorophyll content (1.54 mg g−1 fresh weight (FW)), carotenoids content (0.35 mg g−1 FW), umbel number plant−1 (18.03), seed number umbel−1 (21.16), 1,000-seed weight (4.12 g), seed yield (1002.7 kg ha−1), and essential oil yield (22.13 kg ha−1) were obtained on 19 January and irrigation at the flowering + seed filling stages. The greatest amount of WUE (0.53 kg m−3) was measured on 9 January under no irrigation condition. Therefore, to produce cumin under similar climatic conditions, early planting of cumin in early January, along with two irrigations at the flowering and seed filling stages, is recommended.","PeriodicalId":23725,"journal":{"name":"Water Supply","volume":"37 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141339983","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 the potential of recycled water use for irrigation in southern Maryland: impact on groundwater conservation and crop yield 马里兰州南部再生水灌溉潜力评估：对地下水保护和作物产量的影响

Water Supply Pub Date : 2024-06-10 DOI: 10.2166/ws.2024.137

Azbina Rahman, M. Negahban-Azar, Adel Shirmohammadi, Ritesh Karki

{"title":"Evaluating the potential of recycled water use for irrigation in southern Maryland: impact on groundwater conservation and crop yield","authors":"Azbina Rahman, M. Negahban-Azar, Adel Shirmohammadi, Ritesh Karki","doi":"10.2166/ws.2024.137","DOIUrl":"https://doi.org/10.2166/ws.2024.137","url":null,"abstract":"\u0000 \u0000 Climate change and rainfall variability are driving many farmers to adopt irrigation, who were historically within rain-dependent regions, to sustain crop productivity. In the Mid-Atlantic region, irrigation in agriculture has grown since the 1980s due to rising temperatures and changes in precipitation patterns. Dry summers and uneven seasonal rainfall have necessitated a shift toward irrigation, particularly in Maryland's Coastal Plain. However, high dependence on confined groundwater for irrigation around this area has strained aquifers. To mitigate this strain, exploring alternative water sources is now important. This study investigates the viability of utilizing treated wastewater from plants as an irrigation substitute in Maryland's Coastal Plain. Using the Soil and Water Assessment Tool, the research evaluates crop productivity and irrigation needs under various climate scenarios. Results indicate that recycled water from nearby treatment plants can meet crop water requirements during wet years and partially during moderate and dry years, reducing aquifer reliance by 56 and 30%, respectively. This framework aims to boost yields while conserving freshwater resources. By serving as a decision support tool, stakeholders can assess the feasibility of recycled water for irrigation, thereby potentially reducing strain on confined aquifers.","PeriodicalId":23725,"journal":{"name":"Water Supply","volume":" 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141365033","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

Prediction of the river water environment carrying capacity using LSTM networks 利用 LSTM 网络预测河流水环境承载能力

Water Supply Pub Date : 2024-06-08 DOI: 10.2166/ws.2024.138

L. T. Bui, D. L. Tran, Dan Phuoc Nguyen

{"title":"Prediction of the river water environment carrying capacity using LSTM networks","authors":"L. T. Bui, D. L. Tran, Dan Phuoc Nguyen","doi":"10.2166/ws.2024.138","DOIUrl":"https://doi.org/10.2166/ws.2024.138","url":null,"abstract":"\u0000 \u0000 River basins receive wastewater from socio-economic activities. In such a context, a comprehensive assessment and forecast of load-bearing capacity needs to be developed. This capacity depends on many complex factors, such as hydrology, hydraulics, and environment, leading to applying a modelling approach. This study aims to propose a hybrid modelling approach to evaluate and predict the river water environmental capacity (RWEC) in a basin. Big data technology with Python is applied to process modelling results and RWEC forecasts. The long short-term memory (LSTM) model predicts RWEC on each reach of the river channel network. The {RWECP, i, P = Nitrate, BOD, Phosphate, i = hourly} data set and related factors form a time series of data used for the LSTM forecasting model. Forecast results are evaluated through the root mean square error (RMSE) and mean absolute error (MAE). The results show that the average level over all 24 reaches for 7 forecast days: RMSENitrate = 22.16 (kg/day), RMSEBOD = 38.92 (kg/day), and RMSEPhosphate = 0.79 (kg/day). This is an acceptable result for a complex system and 7-day forecast. The results of the study help significantly with pollution control.","PeriodicalId":23725,"journal":{"name":"Water Supply","volume":" 47","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141369713","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

Health risk assessment of arsenic and lead contamination in drinking water: A study of Islamabad and Rawalpindi, Pakistan 饮用水中砷和铅污染的健康风险评估：巴基斯坦伊斯兰堡和拉瓦尔品第研究

Water Supply Pub Date : 2024-06-07 DOI: 10.2166/ws.2024.135

Muhammad Tauseef Azam, Asif Ahmad, Anwaar Ahmed, Azeem Khalid, Samreen Saleem

{"title":"Health risk assessment of arsenic and lead contamination in drinking water: A study of Islamabad and Rawalpindi, Pakistan","authors":"Muhammad Tauseef Azam, Asif Ahmad, Anwaar Ahmed, Azeem Khalid, Samreen Saleem","doi":"10.2166/ws.2024.135","DOIUrl":"https://doi.org/10.2166/ws.2024.135","url":null,"abstract":"\u0000 The present research study explores the drinking water quality of Rawalpindi and Islamabad to identify the potent dissolved contaminants and carry out a health risk assessment as the study area houses more than 3 million people. Drinking water samples were collected from 95 union councils of the selected study area and were investigated for 12 physicochemical water quality indicators. The collected datasets were interpreted using general statistics, principal component analysis and spatial analysis for knowing the variations among the collected samples. The results revealed that overall 51.57% of the drinking water samples were unsatisfactory for human consumption. The rate of physicochemical contamination was 87.27% in the rural and unauthorized housing societies. Arsenic (As) and lead (Pb) were the potent contaminants in the drinking water samples. The health risk assessment uncovered that 31.57 and 10.45% of samples had a hazard quotient (HQ) >1 for arsenic and lead, respectively. Collectively, 41 drinking water sources were identified as potential health risk sources for the residents.","PeriodicalId":23725,"journal":{"name":"Water Supply","volume":" 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141374071","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