Water Science & Technology: Water Supply最新文献_第7页

Methods for detection and enumeration of coliforms in drinking water: a review 饮用水中大肠菌群的检测与计数方法综述

Water Science & Technology: Water Supply Pub Date : 2023-09-27 DOI: 10.2166/ws.2023.247

Ashish Tambi, Urmila Brighu, A. B. Gupta

{"title":"Methods for detection and enumeration of coliforms in drinking water: a review","authors":"Ashish Tambi, Urmila Brighu, A. B. Gupta","doi":"10.2166/ws.2023.247","DOIUrl":"https://doi.org/10.2166/ws.2023.247","url":null,"abstract":"Abstract Ensuring the microbiological safety of drinking water is of paramount importance to protect public health. Coliform bacteria, including Escherichia coli, serve as key indicators of water contamination and the potential presence of harmful pathogens. Accurate and reliable detection and enumeration of coliforms in drinking water are essential for monitoring water quality and implementing appropriate interventions. This review article provides an overview of various traditional culture-based methods and rapid molecular methods employed for the analysis of coliforms in drinking water, highlighting their strengths, limitations, and advancements. Culture-based methods such as multiple-tube fermentation (most probable number) and membrane filtration techniques have long been used as standard methods for coliform detection. The emerging molecular-based approaches, including polymerase chain reaction (PCR), quantitative PCR, and nucleic acid sequencing offer improved sensitivity, specificity, and turnaround time. This comprehensive review provides a valuable resource for researchers, water quality professionals, and policymakers engaged in the detection and enumeration of coliform bacteria in drinking water. It offers an up-to-date understanding of different methods, their advancements, and the potential integration of novel technologies. By critically evaluating these approaches, this review aims to contribute to the ongoing efforts toward ensuring safe drinking water for all.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135535961","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

The use of water allocation efficiency in optimizing crop production in drylands using a fuzzy trading model 利用模糊交易模型优化旱地作物生产中的水分分配效率

Water Science & Technology: Water Supply Pub Date : 2023-09-26 DOI: 10.2166/ws.2023.246

Yuan Liang, Wentai Bi

{"title":"The use of water allocation efficiency in optimizing crop production in drylands using a fuzzy trading model","authors":"Yuan Liang, Wentai Bi","doi":"10.2166/ws.2023.246","DOIUrl":"https://doi.org/10.2166/ws.2023.246","url":null,"abstract":"Abstract Considering the importance of agriculture in food security in arid and semiarid areas, it is absolutely necessary to apply the planning model based on different objectives. This study has been conducted to simulate the trading and non-trading policies in the Particle Swarm Optimization framework for estimating the optimal economic values of agricultural water in Jilin province, northeastern China. Fuzzy solutions have been also calculated by definition of the feasible domain for water availability and permits. A generalized extreme value function was incorporated into the problem to predict the rainfall amounts with a 25-year return period. The results showed that determining the agricultural pattern using a trading policy with the aim of benefiting from the water will reduce the water demand in the study area. The trading policy can lead to a more efficient allocation of released water and reduce water scarcity, but it can eliminate some plants from the cropping pattern by reducing the water level. As a result, trading policy can be effective in the short term, especially in drought conditions due to insufficient water supply.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135719545","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

Evaluation of agricultural wetland utilization and landscape design 农业湿地利用评价与景观设计

Water Science & Technology: Water Supply Pub Date : 2023-09-26 DOI: 10.2166/ws.2023.234

Wanli Gu, Yang Jiang

{"title":"Evaluation of agricultural wetland utilization and landscape design","authors":"Wanli Gu, Yang Jiang","doi":"10.2166/ws.2023.234","DOIUrl":"https://doi.org/10.2166/ws.2023.234","url":null,"abstract":"Abstract Water is an important component of agricultural wetlands, and human activities have disrupted the water cycle and its related functions, leading to problems such as water scarcity, water pollution, and wetland degradation. As an important water source conservation area and ecosystem, agricultural wetlands not only help maintain the sustainable use of water resources but also help improve the efficiency and quality of agricultural production. This article first introduces the water-centered utilization of agricultural wetlands, and then proposes the challenges and problems faced by agricultural wetland water resources management, focusing on the utilization and protection of water resources. Through research and analysis, the utilization efficiency of Xixi Wetland water resources was analyzed, and the importance of water resource protection and landscape design was analyzed using the Hangzhou Xixi Wetland as an example. This article proposed corresponding landscape design strategies for different utilization methods and analyzed the water resource utilization efficiency of the Xixi Wetland in the past decade through research. Under scientific management, the water resource utilization efficiency increased by 21% compared to 10 years ago. This article focused on ‘water’ and explored the utilization and landscape design of agricultural wetlands.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135719546","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

Geospatial ecological economic planning based on water-energy-agritourism nexus, a case study of Jilin Province, China 基于水能农关系的地理空间生态经济规划——以吉林省为例

Water Science & Technology: Water Supply Pub Date : 2023-09-26 DOI: 10.2166/ws.2023.245

Yongjia Guo

{"title":"Geospatial ecological economic planning based on water-energy-agritourism nexus, a case study of Jilin Province, China","authors":"Yongjia Guo","doi":"10.2166/ws.2023.245","DOIUrl":"https://doi.org/10.2166/ws.2023.245","url":null,"abstract":"Abstract How to use geospatial technology to plan the ecological economy reasonably and promote the sustainable development of regional ecotourism has become an important issue faced by the current society. On the basis of the relationship between water and energy, this article took tourist areas as an example to analyze the geographical and spatial distribution characteristics of ecotourism attractions. A comparative analysis was conducted between the experimental group's tourist areas planned using GIS (geographic information system) and the control group's tourist areas planned using traditional planning. It was found that the average ecological and economic income of the experimental group within 1 year was about 1.2661 million yuan, which was higher than the average ecological and economic income of the control group within 1 year. This indicated that using GIS geospatial technology for reasonable planning of tourist areas is important for improving the overall ecological and economic income of tourist areas. This article used this research to explore the importance of rational planning of the ecological economy. Building a good ecological economic structure in tourism development plays an important role in reducing water and energy consumption to promote sustainable development of the tourism industry.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135718559","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

Electrolysis-induced hardness variation for quantitatively assessing the scaling tendency of circulating water 电解诱发硬度变化定量评价循环水结垢倾向

Water Science & Technology: Water Supply Pub Date : 2023-09-25 DOI: 10.2166/ws.2023.243

Guopeng Zheng, Lida Wang, Wen Sun, Zhengqing Yang, Xuewei Bao, Anfeng Hao, Haitao Deng, Hejin Li, Guichang Liu

引用次数: 0

Health assessment of water pumps using high-dimensional monitoring data 基于高维监测数据的水泵健康评价

Water Science & Technology: Water Supply Pub Date : 2023-09-23 DOI: 10.2166/ws.2023.244

Gong Chen, Lei Wang, Haoming Yang, Peifeng Wang, Jun Wei, Jianguo Bao

{"title":"Health assessment of water pumps using high-dimensional monitoring data","authors":"Gong Chen, Lei Wang, Haoming Yang, Peifeng Wang, Jun Wei, Jianguo Bao","doi":"10.2166/ws.2023.244","DOIUrl":"https://doi.org/10.2166/ws.2023.244","url":null,"abstract":"Abstract With the development of IoT monitoring equipment, an increasing number of monitoring indicators are employed to monitor the operational status of water pumps, thereby resulting in the challenge of data redundancy. This paper proposes an algorithm for predicting the health status of pumps that integrates multiple monitoring variables. Initially, the original dataset is classified using the maximum relevance minimum redundancy method. Next, principal component dimensionality reduction is used to reduce the dimensionality of the classified dataset. Finally, a long and short term memory neural network is employed to construct the association model between monitoring data and equipment health. The proposed algorithm takes into account the correlation between variables and the negative impacts of long-term dependence on the prediction results. It is capable of predicting abnormal working conditions, which has been experimentally verified in the Xiasha Pumping Station located in Hangzhou. The algorithm was compared with LR, SVM, and RNN algorithms, and it was found that the proposed algorithm achieved the highest prediction accuracy.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135966235","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 level prediction of pumping station pre-station based on machine learning methods 基于机器学习方法的泵站预站水位预测

Water Science & Technology: Water Supply Pub Date : 2023-09-21 DOI: 10.2166/ws.2023.242

Weilin Wang, Gouqing Sang, Qiang Zhao, Longbin Lu

{"title":"Water level prediction of pumping station pre-station based on machine learning methods","authors":"Weilin Wang, Gouqing Sang, Qiang Zhao, Longbin Lu","doi":"10.2166/ws.2023.242","DOIUrl":"https://doi.org/10.2166/ws.2023.242","url":null,"abstract":"Abstract Water level prediction is an essential factor for the safe operation of pumping stations. However, due to the complex nonlinear relationship between the water level of the front pool of the pumping station and the influencing factors, the prediction of the water level is still inaccurate and untimely. Backpropagation (BP) neural network, improved particle swarm optimization-BP neural network (PSO-BP), support vector machine regression (SVR), and improved PSO-SVR were used to construct 4-h and 8-h ahead prediction models for pumping station prestation water levels. Mean absolute error, mean squared error (MSE), root mean square error (RMSE), mean absolute percentage error (MAPE), and R correlation coefficient were used as prediction evaluation metrics. This method is applied in the Baliwan Pumping Station, the highest pumping station in the South-to-North Water Diversion Eastern Route Project (SNWDERP). The results showed that the MSE, RMSE, and MAPE of the improved PSO-BP model were smaller than other models, whereas the R correlation coefficient was larger, confirming its high prediction accuracy. All models had higher prediction accuracy 4 h ahead than 8 h ahead. Combining the time-phased water level prediction method and hybrid machine learning can enhance the water level prediction accuracy of a pumping station pre-station.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136235514","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 systems for rainwater harvesting and greywater reuse: a systematic review of urban water management strategies 雨水收集和中水再利用的综合系统:城市水管理战略的系统回顾

Water Science & Technology: Water Supply Pub Date : 2023-09-19 DOI: 10.2166/ws.2023.240

A. M. Rodrigues, K. T. M. Formiga, J. Milograna

{"title":"Integrated systems for rainwater harvesting and greywater reuse: a systematic review of urban water management strategies","authors":"A. M. Rodrigues, K. T. M. Formiga, J. Milograna","doi":"10.2166/ws.2023.240","DOIUrl":"https://doi.org/10.2166/ws.2023.240","url":null,"abstract":"Abstract Combined, decentralized systems for rainwater harvesting and greywater reuse may enhance the water security of urban areas by reducing dependence on the main water supply, in particular during critical periods, such as the dry season. They can also minimize the risk of flooding during the rainy season. The present study assesses the accumulated knowledge of these combined systems based on a systematic review of the literature restricted to academic sources. The review revealed knowledge gaps that must be resolved to better assess the optimum combination of rainwater and greywater recovery, how this affects the need for the treatment of the recovered water, its final quality, potential options for reuse, water economy, and the environmental and economic performance of the system. Further empirical studies are required to determine the most adequate design configuration for these systems, considering their multiple objectives, technological perspectives, and in particular, their potential for improving environmental shortcomings. There is a clear need for widespread use of low-impact technologies to ensure the most effective possible results. Water recovery systems will become increasingly important as a means of tackling the challenges of water supplies in the urban landscape, which are being exacerbated by climate change.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135063604","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

Multi-energy system smart tool for ecological water body restoration using an AI-based decision-making framework 基于人工智能决策框架的生态水体修复多能系统智能工具

Water Science & Technology: Water Supply Pub Date : 2023-09-19 DOI: 10.2166/ws.2023.223

Shu Xu, Ching-Hsien Hsu, Carlos Enrique Montenegro-Marin

{"title":"Multi-energy system smart tool for ecological water body restoration using an AI-based decision-making framework","authors":"Shu Xu, Ching-Hsien Hsu, Carlos Enrique Montenegro-Marin","doi":"10.2166/ws.2023.223","DOIUrl":"https://doi.org/10.2166/ws.2023.223","url":null,"abstract":"Abstract Ecological regeneration will reduce air pollution, reverse forest clearing and wilderness, minimize loss of biodiversity, improve urban ecosystems, and probably enhance the livelihoods and ties between mankind and nature. Ecological regeneration risk factors include frequent changes in natural environments, imperfect interpretation of natural systems by humans, and a lack of knowledge on past successes and shortcomings. The Internet of Things (IoT) uses in environmental monitoring are varied: environmental protection, extreme weather monitoring, water safety, conservation of endangered species, and commercial farming. In this paper, artificial intelligence-based environmental decision restoration framework (AI-EDRF) has been proposed to strengthen the continuously evolving natural systems; people are deficient about natural systems and the insufficient knowledge about past achievements and failures. The biological terrestrial collective analysis is introduced to improve natural systems is rapidly evolving, and people are inadequately aware of natural systems. Stochastic water quality analysis is integrated with AI-EDRF to boost past achievements and failures. IoT-enabled smart energy management is an effective approach to provide cost-effective, efficient energy distribution and technologies are used in connection with sustainable, renewable energy sources. The computational analysis is executed based on accuracy, performance ratio, reaction time, and data deployment to verify the developed framework's reliability.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135014863","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 emerging endocrine-disrupting compounds, namely estrone, 17-beta-estradiol, estriol, and 17-alpha-ethinyl estradiol, in the drinking water piping network of Tehran 德黑兰饮用水管网中新出现的内分泌干扰化合物，即雌酮、17- β -雌二醇、雌三醇和17- α -乙基雌二醇的评估

Water Science & Technology: Water Supply Pub Date : 2023-09-15 DOI: 10.2166/ws.2023.239

Noushin Rastkari, Reza Ahmadkhaniha, Masoumeh Beikmohammadi, Seyedeh Somayeh Yousefi

{"title":"Assessment of emerging endocrine-disrupting compounds, namely estrone, 17-beta-estradiol, estriol, and 17-alpha-ethinyl estradiol, in the drinking water piping network of Tehran","authors":"Noushin Rastkari, Reza Ahmadkhaniha, Masoumeh Beikmohammadi, Seyedeh Somayeh Yousefi","doi":"10.2166/ws.2023.239","DOIUrl":"https://doi.org/10.2166/ws.2023.239","url":null,"abstract":"Abstract In recent decades, micro-pollutants like estrogen hormones have been considered due to adverse health effects on humans and the environment despite very low concentrations of 0.1–20 ng/L. In the present study, drinking water was sampled from the six areas of Tehran in summer (August 2020), autumn (November 2020), winter (February 2021), and spring (May 2021) to evaluate natural and synthetic estrogen hormones (estrone (E1), 17-beta-estradiol (E2), estriol (E3), and 17-alpha-ethinyl estradiol (EE2)). The samples were transferred to the laboratory and the solid-phase extraction (SPE) method was used to extract the hormones, and the type and amount of hormones were examined by gas chromatography–mass spectrometry. According to the results, the highest concentrations were related to E1 and E2 compounds at 1.96 and 2.13 ng/L, respectively, in summer and autumn (device detection limit = 0.5 ng/L). In addition, concentrations of compounds E1 and E2 were lower than the detection limit in spring and winter in all samples, and compounds E3 and EE2 were not identified in any samples or seasons. Commonly, the concentration of steroid hormones increased in the dry seasons (summer and autumn), while in the spring and winter concentrations were less than the device detection limit because of rainfall.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135395882","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