Water Cycle最新文献_第5页

Advanced monthly rainfall forecasting in Southern Lazio: Integrating climatic indices, classical or deep neural networks, and a feature selection algorithm 南拉齐奥月降雨量高级预报：整合气候指数、经典或深度神经网络以及特征选择算法

Water Cycle Pub Date : 2025-01-01 DOI: 10.1016/j.watcyc.2024.11.005

Fabio Di Nunno, Francesco Granata

{"title":"Advanced monthly rainfall forecasting in Southern Lazio: Integrating climatic indices, classical or deep neural networks, and a feature selection algorithm","authors":"Fabio Di Nunno, Francesco Granata","doi":"10.1016/j.watcyc.2024.11.005","DOIUrl":"10.1016/j.watcyc.2024.11.005","url":null,"abstract":"<div><div>Accurately predicting monthly precipitation is crucial for managing water resources, particularly in regions with complex climates like Southern Lazio, Italy. This study addresses the challenges of selecting relevant climate parameters and optimizing model complexity for precise forecasting. Four models, based on Bi-directional Long Short-Term Memory (BI-LSTM) and Radial Basis Function (RBF) neural networks, were compared, focusing on their ability to predict monthly precipitation using diverse inputs such as mean temperature, relative humidity, sea level pressure, radiation, precipitation change, and 12 climate indices. One significant challenge was determining the most impactful subset of input variables from a large dataset to enhance model performance without overfitting. To address this, the Particle Swarm Optimization (PSO) feature selection algorithm was employed, significantly improving model accuracy by identifying the optimal subset of input variables. The comparative analysis revealed that PSO-based models consistently outperformed those using all input variables, with the PSO-RBF model achieving a Kling-Gupta Efficiency (KGE) value of up to 0.80 during testing. Notably, both PSO-BI-LSTM and PSO-RBF models demonstrated strong performance in predicting precipitation peaks, achieving KGE values of 0.74. The study highlights the efficacy of the RBF model combined with PSO, which optimizes fewer parameters compared to the more complex BI-LSTM network while reducing input variables. This approach is not only less computationally intensive but also easier to implement, particularly in regions with limited instrumentation. These findings suggest that the PSO-RBF model is a reliable and efficient tool for monthly precipitation prediction in challenging environments.</div></div>","PeriodicalId":34143,"journal":{"name":"Water Cycle","volume":"6 ","pages":"Pages 82-94"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Physical and chemical processes driven by natural iron minerals in aquatic environments 水生环境中由天然铁矿物驱动的物理和化学过程

Water Cycle Pub Date : 2025-01-01 DOI: 10.1016/j.watcyc.2024.10.002

Yuanyuan Chen , Na Huang , Yingying Li , Yin Lu , Yilan Jiang , Zeng Zhou , Dawei Wang

引用次数: 0

Efficiently optimized multi-fillers for rain gardens: Long-term pollution control performance 高效优化的雨水花园多填料：长期污染控制性能

Water Cycle Pub Date : 2025-01-01 DOI: 10.1016/j.watcyc.2025.04.003

Tianyin Huang , Zhixin Wang , Yiming Nie , Hanhan Liu , Peirong Li , Jingjing Yang , Bingdang Wu

{"title":"Efficiently optimized multi-fillers for rain gardens: Long-term pollution control performance","authors":"Tianyin Huang , Zhixin Wang , Yiming Nie , Hanhan Liu , Peirong Li , Jingjing Yang , Bingdang Wu","doi":"10.1016/j.watcyc.2025.04.003","DOIUrl":"10.1016/j.watcyc.2025.04.003","url":null,"abstract":"<div><div>Rain gardens play a pivotal role in the infiltration and purification of runoff, with the filler layer being a critical component. However, the selection and configuration of fillers in existing rain gardens often lack scientific rigor, leading to suboptimal performance. To address this issue, this study employs the Analytic Hierarchy Process (AHP) to systematically evaluate 11 types of fillers, including 5 natural materials, 3 industrial wastes, and 3 artificial materials, aiming to optimize filler configurations and enhance the pollutant removal efficiency of rain gardens. The results demonstrate that steel slag, coconut shell biochar, green zeolite, and fly ash ceramic granules exhibit superior performance in purifying both simulated and actual runoff. The optimal filler combination, comprising 25% green zeolite, 25% steel slag, and 50% coconut shell biochar, achieved removal rates of 50.49%, 76.12%, 44.12%, 89.94%, 58.38%, and 88.19% for COD, NH<sub>4</sub><sup>+</sup>-N, TP, Cu(II), Cr(VI), and tetracycline, respectively. Long-term operational evaluation (>110 days) revealed that the optimized filler layer significantly improved the removal rates of COD, TN, and TP to 86.83%, 80.19%, and 88.42%, respectively. By comparing the physicochemical properties of the fillers before and after use, the mechanisms underlying runoff purification were preliminarily elucidated. Different fillers exhibited specific adsorption capabilities for distinct pollutants, and the synergistic effects of multiple fillers significantly enhanced the rain garden's capacity for source pollutant reduction. AHP was used in this study to validate the scientific validity of AHP in the device of rain gardens through filler combination adsorption experiments and long-term monitoring of rain garden installations, while concurrently offering a broader range of green solutions for the enhancement of rain gardens.</div></div>","PeriodicalId":34143,"journal":{"name":"Water Cycle","volume":"6 ","pages":"Pages 387-398"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144125146","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

Identification of water production mechanisms utilizing an array of analytical diagnostic techniques: A case study in a Yemeni oilfield 利用一系列分析诊断技术确定产水机制：也门油田的案例研究

Water Cycle Pub Date : 2025-01-01 DOI: 10.1016/j.watcyc.2025.03.007

Ebrahim S. Bin Marta , Mohamed M. Soliman , Mohamed A. Khamis , Ali M. Wahba

{"title":"Identification of water production mechanisms utilizing an array of analytical diagnostic techniques: A case study in a Yemeni oilfield","authors":"Ebrahim S. Bin Marta , Mohamed M. Soliman , Mohamed A. Khamis , Ali M. Wahba","doi":"10.1016/j.watcyc.2025.03.007","DOIUrl":"10.1016/j.watcyc.2025.03.007","url":null,"abstract":"<div><div>Excessive water production (EWP) poses a complicated challenge for the oil and gas sector. Even after treatment, this water may contain harmful components impacting the economy, environment, and human health. Therefore, it is crucial to identify the reasons for EWP to minimize or prevent it. This can be achieved by utilizing various techniques, including well testing, well logging techniques, reservoir modeling, and analytical approaches. This research focused on a suite of diagnostic plots—X-plots, Chan's plots, and traditional water cut vs. time linear plot techniques—which are recognized as the simplest, most cost-effective techniques for identifying water production mechanisms. The study's findings confirmed the presence of water production issues in all the wells under investigation. Traditional water cut vs. time linear plots indicate that water coning is the major mechanism of excessive production in all wells except for two wells, indicating near-wellbore water channeling and the presence of high conductive zones. Conversely, Chan's plots suggested that the main mechanism is multilayer channeling through fractures and/or high-permeability zones except for two wells, which exhibit near-wellbore water channeling. These results are further supported by X-plot analysis, which revealed that two of the four selected wells have a layering system, while the other wells exhibit a linear slope or no layering system. Over 110 million barrels of water have been produced, posing a significant environmental challenge due to the potential for substantial pollution. Treating this large volume of water is costly; thus, implementing a water flooding program to reinject the produced water into the reservoir is strongly recommended.</div></div>","PeriodicalId":34143,"journal":{"name":"Water Cycle","volume":"6 ","pages":"Pages 495-505"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144366259","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 quality characteristics of municipal wastewater treatment plants and the prospect of reclaimed water utilization in lower-middle income and water-scarce areas: A case study of Puyang 中低收入缺水地区城市污水处理厂水质特征及中水利用前景——以濮阳市为例

Water Cycle Pub Date : 2025-01-01 DOI: 10.1016/j.watcyc.2024.11.002

Yutong Duan , Hongbo Xi , Zhikai Qin , Ruili Guo , Fang Wang , Yue Yuan

{"title":"Water quality characteristics of municipal wastewater treatment plants and the prospect of reclaimed water utilization in lower-middle income and water-scarce areas: A case study of Puyang","authors":"Yutong Duan , Hongbo Xi , Zhikai Qin , Ruili Guo , Fang Wang , Yue Yuan","doi":"10.1016/j.watcyc.2024.11.002","DOIUrl":"10.1016/j.watcyc.2024.11.002","url":null,"abstract":"<div><div>Water scarcity is a key bottleneck for China's economic and social development. Reclaimed water presents a sustainable solution, but its utilization remains limited, especially in lower-middle income cities like Puyang. This study investigates the potential for reclaimed water utilization in Puyang, a key industrial hub in the Central Plains Economic Zone facing severe water shortages. Operational data from 20 municipal wastewater treatment plants (WWTPs) in 2023 were analyzed to assess water quality parameters, treatment efficiencies, and hydraulic load rates. Results indicate the seasonal variation in hydraulic load rates, probably affected by heavy rainfall during the rainy season, which posed operational challenges for WWTPs. Influent water quality analysis showed high concentrations of COD, NH₃-N, TN, and TP, and nutrient ratios that often exceeded the optimal level for biological nutrient removal. Effluent water quality generally met the discharge standards, though TN removal efficiency was unsatisfactory in some cases. The study also explored the future potential of reclaimed water in Puyang, highlighting opportunities to increase utilization rates to 30% by 2025 through enhanced infrastructure and technological innovations. Environmental assessments confirmed that treated water met industrial and landscape irrigation standards, while social and economic analyses showed that cost-effective water reuse offered advantages over other unconventional water sources. However, challenges such as inadequate regulatory frameworks, limited infrastructure and the need for systematic planning have hampered progress. This study provides a comprehensive evaluation of reclaimed water utilization in Puyang, offering valuable insights for sustainable water resource management in similar regions.</div></div>","PeriodicalId":34143,"journal":{"name":"Water Cycle","volume":"6 ","pages":"Pages 61-70"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of extraction temperature on value-added biopolymer recovery in waste activated sludge 萃取温度对废活性污泥中增值生物聚合物回收的影响

Water Cycle Pub Date : 2025-01-01 DOI: 10.1016/j.watcyc.2025.03.008

Yingjie Yang, Hao Zhou, Wanliang Liu, Kun Wang, Tong Yu

{"title":"Effect of extraction temperature on value-added biopolymer recovery in waste activated sludge","authors":"Yingjie Yang, Hao Zhou, Wanliang Liu, Kun Wang, Tong Yu","doi":"10.1016/j.watcyc.2025.03.008","DOIUrl":"10.1016/j.watcyc.2025.03.008","url":null,"abstract":"<div><div>Extraction temperature is one of the basic factors for alginate-like exopolymers (ALE) recovery from waste activated sludge (WAS). Given the rising interest in sustainable resource recovery and the promising industrial applications of ALE, this study systematically evaluated the effects of extraction temperatures (50–95 °C) on the ALE yield, profit, compositions, structural properties and sludge reduction. The increasing extraction temperature significantly enhanced ALE yield (from 148.3 mg/g VSS at 80 °C to 218.6 mg/g VSS at 95 °C) and net profit (from 0.441 to 1.046 CNY/kg SS). The elevated temperatures notably increased protein yields compared to polysaccharides. Fluorescence spectroscopy also indicated a pronounced increase in aromatic protein-like substances (C1), whereas polysaccharides showed a comparatively modest increase. Meanwhile, UV–Vis analysis demonstrated decreased E<sub>2</sub>/E<sub>3</sub> and E<sub>2</sub>/E<sub>4</sub> ratios at higher temperatures, suggesting increased humification and reduced molecular weight. Structural analysis showed ALE gels extracted at higher temperatures became denser with decreased mechanical strength (compressive modulus declined from 1.45 MPa at 50 °C to 0.11 MPa at 95 °C). Furthermore, sludge reduction reached 19.8% at 95 °C, significantly alleviating disposal cost of the sludge. These findings in this study provided critical insights for optimizing ALE extraction processes, promoting sludge resource recovery for practical applications.</div></div>","PeriodicalId":34143,"journal":{"name":"Water Cycle","volume":"6 ","pages":"Pages 272-277"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863744","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

Methods for predicting water temperature in data-scarce areas under different climate regions of China 中国不同气候区资料匮乏地区水温预测方法

Water Cycle Pub Date : 2025-01-01 DOI: 10.1016/j.watcyc.2025.03.001

Jiaqi Zhang , Jun Ma , Yaqian Xu , Defu Liu , Zhangpeng Wang , Zeyi Tao , Hao Wei , Ran Xiao

{"title":"Methods for predicting water temperature in data-scarce areas under different climate regions of China","authors":"Jiaqi Zhang , Jun Ma , Yaqian Xu , Defu Liu , Zhangpeng Wang , Zeyi Tao , Hao Wei , Ran Xiao","doi":"10.1016/j.watcyc.2025.03.001","DOIUrl":"10.1016/j.watcyc.2025.03.001","url":null,"abstract":"<div><div>Water temperature is an important index that affects physical, chemical and biological reactions in water environments, and accurate water temperature prediction is important. Water temperature prediction in a data-deficient area along the Yangtze River trunk stream was selected as the research object, the factors influencing water temperature changes, such as air temperature, latitude and elevation, were analyzed, and the main factors were determined. A linear regression equation of water temperature and air temperature under different climate types was constructed. The Air2stream model was used for water temperature prediction, and the model prediction accuracies were compared. (1) Water temperature changes are mainly controlled by air temperature, and (2) the averaged root mean square error (RMSE) of water temperatures predicted by the linear regression equation and Air2stream model were 1.79 °C and 1.40 °C, respectively. The averaged determination coefficients (R<sup>2</sup>) for the Air2stream model under the plateau alpine and subtropical monsoon climate types were 0.97 and 0.95, respectively. (3) The prediction accuracy of the Air2stream model exceeded that of the linear regression equation. Although the phenomenon of water temperature lagging behind air temperature is becoming increasingly obvious in high-flow areas, the water temperature prediction method of the water temperature-air temperature linear regression equation coupled with the Air2stream model can provide more reliable prediction results, thereby providinge a reference for water temperature prediction in data-deficient areas.</div></div>","PeriodicalId":34143,"journal":{"name":"Water Cycle","volume":"6 ","pages":"Pages 259-271"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A comprehensive analysis of reservoir capacity loss: A case study of the Akhangaran reservoir, Uzbekistan 水库容量损失的综合分析——以乌兹别克斯坦Akhangaran水库为例

Water Cycle Pub Date : 2025-01-01 DOI: 10.1016/j.watcyc.2024.11.003

Khojiakbar Khasanov

{"title":"A comprehensive analysis of reservoir capacity loss: A case study of the Akhangaran reservoir, Uzbekistan","authors":"Khojiakbar Khasanov","doi":"10.1016/j.watcyc.2024.11.003","DOIUrl":"10.1016/j.watcyc.2024.11.003","url":null,"abstract":"<div><div>The purpose of this article is to analyze the loss of capacity in the Akhangaron reservoir due to sedimentation processes. With the reservoir having been in operation for 50 years, understanding the dynamics of its water reserves is crucial, especially considering the impact of siltation on its volume and functionality. Through detailed analysis, including bathymetric surveys and geostatistical methods, this study aims to assess the current state of the reservoir volume, identify trends in volume loss over time, and predict future capacity reductions. By providing valuable insights into sediment dynamics and reservoir capacity loss, the findings of this study seek to inform and guide future management strategies for the Akhangaron reservoir and similar water management systems. The obtained results showed that the analysis of the Akhangaron reservoir from 1972 to 2022 reveals significant volume losses, with a total reduction of 28.6 Mm<sup>3</sup> (14.44%), impacting both useful and dead volumes, demonstrated by a decrease in useful volume by 21.3 Mm<sup>3</sup> (11.52%) and a significant decrease in dead volume by 7.3 Mm<sup>3</sup> (55.73%). Additionally, surface area reductions at both full storage level (FSL) and dead storage level (DSL) underscore sedimentation's impact, particularly evident at lower water levels. The projections indicate significant declines in both total and useful volumes, essential for water supply and operational efficiency. By 2072, the total volume is expected to decrease by 39.45 %, while the useful volume is anticipated to drop by 36.45% over the same period. Of particular concern is the predicted reduction in the dead volume, crucial for sediment storage. By 2044, projections suggest that 82.28% of the dead volume will be lost, and by 2062, the dead volume is forecasted to be completely silted (100% loss), rendering the reservoir's regulating capacity unmanageable.</div></div>","PeriodicalId":34143,"journal":{"name":"Water Cycle","volume":"6 ","pages":"Pages 105-117"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143636329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Geospatial technique and multi-criteria evaluation to select suitable sites for groundwater recharge with reclaimed water in arid and semi-arid regions 干旱区半干旱区再生水补给点的地理空间技术与多准则评价

Water Cycle Pub Date : 2025-01-01 DOI: 10.1016/j.watcyc.2025.02.001

Sinda Sifi , Abdelwaheb Aydi , Sabrine Zaghdoudi , Mohamed Gasmi , Hazem Ghassan Abdo

{"title":"Geospatial technique and multi-criteria evaluation to select suitable sites for groundwater recharge with reclaimed water in arid and semi-arid regions","authors":"Sinda Sifi , Abdelwaheb Aydi , Sabrine Zaghdoudi , Mohamed Gasmi , Hazem Ghassan Abdo","doi":"10.1016/j.watcyc.2025.02.001","DOIUrl":"10.1016/j.watcyc.2025.02.001","url":null,"abstract":"<div><div>Water resources are suffering from shrinkage in quantity and quality as a result of unprecedented acceleration in population growth, urbanization, irrigation, agricultural, industrial activities and incessantly changing weather patterns. The use of reclaimed water as an alternative for groundwater recharge is an increasing practice worldwide, notably in arid and semi-arid countries like Tunisia where water scarcity is becoming more severe. In this study, geospatial technique and multi-criteria evaluation were combined to pinpoint an appropriate site for aquifer recharge with reclaimed water (AR<sub>rew</sub>) in Menzel Bourguiba in the Bizerte region, Northeastern Tunisia. Fifteen constraints and five factors clustered in two main objectives (environmental and economic) were chosen based on credible references, previous literature and expert knowledge to achieve the goal of this study. The Boolean approach was applied to exclude the unsuitable area for aquifer recharge. The fuzzy logic was used to standardize factors between zero and ten. Then, a relative weight was assigned to each criterion using the analytical hierarchy process (AHP) method. Then, the Weighted Linear combination (WLC) approach was used, and the final map of site suitability for AR<sub>rew</sub> was prepared. The results showed that twelve candidate sites were suitable for AR<sub>rew</sub>. The selected sites are outranked using the ELECTRE III method. The findings are directly applicable to similar regions, enabling the development of adaptable recharge strategies for broader impact. This work can be considered a promising tool for hydrologists in selecting suitable sites for AR<sub>rew</sub>, ensuring the availability of groundwater resources and sustainability.</div></div>","PeriodicalId":34143,"journal":{"name":"Water Cycle","volume":"6 ","pages":"Pages 213-228"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Feature of water: A practical concept in water reuse 水的特性：水再利用的实用概念

Water Cycle Pub Date : 2025-01-01 DOI: 10.1016/j.watcyc.2025.04.001

Xiao-Wen Chen , Yu-Qing Xu , Wen-Long Wang , Nan Huang

{"title":"Feature of water: A practical concept in water reuse","authors":"Xiao-Wen Chen , Yu-Qing Xu , Wen-Long Wang , Nan Huang","doi":"10.1016/j.watcyc.2025.04.001","DOIUrl":"10.1016/j.watcyc.2025.04.001","url":null,"abstract":"<div><div>The increasing stringency of standards has highlighted challenges in high-standard wastewater treatment and water reuse. Current water quality assessment primarily relies on bulk properties like chemical oxygen demand (COD) and biological oxygen demand (BOD), which fail to capture the intricate characteristics of wastewater contaminants. The novel concept of “feature of water\", a multidimensional assessment system encompassing four primary indicators: quantitative concentration, compositional characteristics, transformation potential, and toxicological effects, is applied in the study. Unlike conventional linear approaches, feature of water provides a holistic perspective on wastewater composition, examining pollutant variations across temporal and spatial dimensions. Applications of the feature of water concept include the identification of refractory pollutants, evaluation of treatment processes, and the design of tailored treatment technologies. Case studies demonstrate its effectiveness in improving water treatment efficiency, reducing operational costs, and mitigating ecological risks. By transitioning from traditional linear water quality evaluation to a systems-based approach, the feature of water provides a robust methodology to meet the demands of high-standard wastewater treatment and water reuse, ensuring environmental sustainability and public health protection.</div></div>","PeriodicalId":34143,"journal":{"name":"Water Cycle","volume":"6 ","pages":"Pages 300-305"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895115","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