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Journal of Applied Water Engineering and Research最新文献

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Hydrologic alteration by hydropower dams and climate change in the Sesan Basin 水电站大坝和气候变化对塞桑盆地水文的改变
IF 1.2 Q3 Environmental Science Pub Date : 2024-05-09 DOI: 10.1080/23249676.2024.2350459
Wangmo Ghalley, Jeffrey D. Niemann, Sangam Shrestha
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引用次数: 0
Gravity current analyzer for lock-release experiments 用于锁定释放实验的重力电流分析仪
IF 1.2 Q3 Environmental Science Pub Date : 2024-04-25 DOI: 10.1080/23249676.2024.2340972
Rafael de Carvalho Bueno, Nathan Streisky da Silva, André Diniz dos Santos, Tobias Bernward Bleninger
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引用次数: 0
Modeling groundwater to assess the effect of artificial recharge (Kerbala, Iraq) 建立地下水模型以评估人工补给的影响(伊拉克,卡尔巴拉)
IF 1.2 Q3 Environmental Science Pub Date : 2024-04-19 DOI: 10.1080/23249676.2024.2341421
Sumayah A. Majeed, N. Al-mansori, Saif S. Alquzweeni
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引用次数: 0
Investigation on scouring and turbulence characteristics around T-head spur dike T 型头支堤周围冲刷和湍流特性研究
IF 1.2 Q3 Environmental Science Pub Date : 2024-03-20 DOI: 10.1080/23249676.2024.2330044
Tapas Kumar Pradhan, Gopi Chand Malasani, Siva Krishna Reddy, V. Chandra
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引用次数: 0
Streamflow forecast model using ANN 使用 ANN 的水流预报模型
IF 1.2 Q3 Environmental Science Pub Date : 2024-02-19 DOI: 10.1080/23249676.2024.2310098
D. Sonowal, Trinayan Saharia, R. K. Baruah, Rupam Goswami
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引用次数: 0
Flash flood prediction in St. Lucia island through a surrogate hydraulic model 通过代用水力模型预测圣卢西亚岛的山洪暴发
IF 1.2 Q3 Environmental Science Pub Date : 2024-01-30 DOI: 10.1080/23249676.2024.2308815
F. Cioffi, L. Tieghi, M. Giannini, S. Pirozzoli
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引用次数: 0
Prediction of water temperature of Sebou estuary (Morocco) using ANN and LR 利用 ANN 和 LR 预测塞布河口(摩洛哥)的水温
IF 1.2 Q3 Environmental Science Pub Date : 2024-01-16 DOI: 10.1080/23249676.2024.2303150
A. Touazit, Youness Nizar, Imane Nizar, Fouad Lahlou, M. Igouzal
{"title":"Prediction of water temperature of Sebou estuary (Morocco) using ANN and LR","authors":"A. Touazit, Youness Nizar, Imane Nizar, Fouad Lahlou, M. Igouzal","doi":"10.1080/23249676.2024.2303150","DOIUrl":"https://doi.org/10.1080/23249676.2024.2303150","url":null,"abstract":"","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139620466","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
Reservoir operations under uncertainty with moving-horizon approach and ensemble forecast optimization 不确定条件下的移动层位方法及集合预测优化
Q3 Environmental Science Pub Date : 2023-11-07 DOI: 10.1080/23249676.2023.2276948
Bernhard Becker, Jiyoung Kim, Elena Pummer
AbstractInflow forecasts are a basic pre-requisite to support decisions for anticipating reservoir operations. The fact that hydrological forecasts are uncertain, noting that reservoirs often fulfill multiple purposes, bears the risk of non-ideal reservoir operation. Optimization techniques can help to identify the best operational scheme under given inflow. To address the forecast uncertainty, operators can repeat optimization (moving horizon approach) and optimize for inflow forecast ensembles. This article aims to contribute to a better understanding of how the different methods work, how to interpret the results and what the effect of user choices on the optimization results is. The moving-horizon approach and three ensemble optimization methods were applied on a hydropower reservoir in Norway under flood conditions. The functional principle of each method is explained, and advantages and drawbacks of the different methods are discussed with the help of performance indicators.Keywords: Reservoir optimizationflood forecastingensemble forecastRTC-Toolsmodel predictive controlstochastic optimization Disclosure statementNo potential conflict of interest was reported by the author(s).
摘要入流预测是支持水库运行预测决策的基本前提。由于水文预报具有不确定性,水库往往具有多种用途,因此存在水库运行不理想的风险。优化技术可以帮助确定给定流量下的最佳作业方案。为了解决预测的不确定性,作业者可以重复优化(移动层位法)并优化流入预测组合。本文旨在帮助您更好地理解不同的方法是如何工作的,如何解释结果以及用户选择对优化结果的影响。以挪威某水电站为研究对象,在洪水条件下应用了移动水平面法和3种集合优化方法。阐述了每种方法的功能原理,并借助性能指标讨论了不同方法的优缺点。关键词:油藏优化洪水预测组合预测tc - tools模型预测控制随机优化披露声明作者未报告潜在利益冲突
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引用次数: 0
The effect of upstream soil type on the amount of catchments sediment 上游土壤类型对流域泥沙量的影响
Q3 Environmental Science Pub Date : 2023-10-11 DOI: 10.1080/23249676.2023.2263855
Rahim Shamsoddini, Bahador Abolpour, Yi Zhao
ABSTRACTMud filled by upstream surface runoff is one of the problems in maintaining the reservoir and dam. The material of upstream bed has a significant effect on the filling of reservoirs. In the present work, the filling rate of the reservoir from the upstream movable bed is investigated by using the Herschel–Bulkley model in both shear-thickening and shear-thinning modes. For this, a two-phase Newtonian-non Newtonian SPH code was developed that has special capabilities such as turbulence effects, surface tension, free surface, and particle displacement. This computational code is then evaluated by the experimental results in addition to finally used to investigate the main problem mentioned above. Five different models of movable beds with are considered, and the filling rate of the downstream tank with these materials is discussed. The results show that among the parameters of the Herschel–Bulkley model, the yield stress is more effective than other factors. Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe datasets generated during and analysed during the current study are available from the corresponding author on reasonable request.
摘要上游地表径流填泥是水库大坝维护的难题之一。上游河床的材质对储层的充填有重要影响。本文采用Herschel-Bulkley模型,研究了剪切-增厚和剪切-减薄两种模式下上游动层对储层的充填速率。为此,开发了两相牛顿-非牛顿SPH代码,该代码具有湍流效应、表面张力、自由表面和粒子位移等特殊功能。然后用实验结果对计算代码进行评估,最后用于研究上述主要问题。考虑了5种不同类型的活动床,并讨论了这些物料对下游储罐的填充率。结果表明,在Herschel-Bulkley模型的参数中,屈服应力是最有效的因素。披露声明作者未报告潜在的利益冲突。数据可用性声明本研究期间生成和分析的数据集可根据通讯作者的合理要求提供。
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引用次数: 0
Suitability of substrate and vegetation for tropical green roofs 热带绿化屋顶基质和植被的适宜性
Q3 Environmental Science Pub Date : 2023-10-09 DOI: 10.1080/23249676.2023.2261368
Awangku Mohamad Mizan bin Pengiran Damit, Michael Lai Hing Fatt, Asmaal Muizz Sallehhin Bin Hj Mohammad Sultan, Shahriar Shams
AbstractThis study investigates the performance of green roofs with three different types of substrate, which are topsoil, a mix of 60% topsoil and 40% biochar, and a mix of 60% topsoil and 40% cocopeat in terms of saturated bulk density and water retention efficiency with a roof slope of 16.7°. The substrate has a thickness of 35 mm and was supported by a timber green roof prototype with Zoysia Japonica, Local cow grass and 9 o’clock flower as vegetation. It was also observed from the experiment that with respect to vegetation, the water retention efficiency is 50.3% (Zoysia Japonica), 49.3% (Local cow grass), and 57.4% (9 o’clock flower) with topsoil and cocopeat for a rainfall of 10 mm for a period of 20 min. Based on this research, a 9 o’clock flower with substrate combining topsoil and coco peat is recommended for green roofs in tropical climates. Disclosure statementNo potential conflict of interest was reported by the authors.
摘要本研究在屋顶坡度为16.7°的条件下,研究了表土、60%表土与40%生物炭混合、60%表土与40%鸡粪混合3种基质类型的绿色屋顶的饱和容重和保水效率。基底厚度为35毫米,由木材绿色屋顶原型支撑,屋顶上有结缕草、当地牛草和9点钟花作为植被。在降雨10 mm、持续20 min的条件下,植被保水效率分别为50.3%(结缕草)、49.3%(当地牛草)和57.4%(9点钟花)。在此基础上,建议在热带气候条件下使用表土和椰泥复合基质的9点钟花作为绿色屋顶的保水效率。披露声明作者未报告潜在的利益冲突。
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引用次数: 0
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Journal of Applied Water Engineering and Research
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