Water Resources Management最新文献_第6页

Evaluation of Feature Selection Methods in Estimation of Precipitation Based on Deep Learning Artificial Neural Networks 基于深度学习人工神经网络的降水量估算中的特征选择方法评估

IF 4.3 3区环境科学与生态学

Water Resources Management Pub Date : 2023-11-18 DOI: 10.1007/s11269-023-03563-4

M. Sattari, Anca Avram, Halit Apaydin, Oliviu Matei

引用次数: 0

A Fast Local Search Strategy Based on the Principle of Optimality for the Long-Term Scheduling of Large Cascade Hydropower Stations 基于最优原则的大型梯级水电站长期调度快速局部搜索策略

IF 4.3 3区环境科学与生态学

Water Resources Management Pub Date : 2023-11-16 DOI: 10.1007/s11269-023-03658-y

Chao Wang, Zhiqiang Jiang, Pengfei Wang, Yixing Xu

引用次数: 0

Multiple Conceptual Model Approach for Assessing Groundwater Resources Sustainability Under Multiple Stresses 评估多重压力下地下水资源可持续性的多重概念模型方法

IF 4.3 3区环境科学与生态学

Water Resources Management Pub Date : 2023-11-15 DOI: 10.1007/s11269-023-03662-2

S. Yidana, E. Dzikunoo, Jacob Doku Tetteh, Richard Adam Mejida

引用次数: 0

Flood Attenuation Potential of Italian Dams: Sensitivity on Geomorphic and Climatological Factors 意大利水坝的洪水衰减潜力:对地貌和气候因素的敏感性

3区环境科学与生态学

Water Resources Management Pub Date : 2023-11-14 DOI: 10.1007/s11269-023-03649-z

Giulia Evangelista, Daniele Ganora, Paola Mazzoglio, Francesca Pianigiani, Pierluigi Claps

{"title":"Flood Attenuation Potential of Italian Dams: Sensitivity on Geomorphic and Climatological Factors","authors":"Giulia Evangelista, Daniele Ganora, Paola Mazzoglio, Francesca Pianigiani, Pierluigi Claps","doi":"10.1007/s11269-023-03649-z","DOIUrl":"https://doi.org/10.1007/s11269-023-03649-z","url":null,"abstract":"Abstract In this work the attenuation potential of flood peaks of 265 large reservoirs all over Italy is analysed, considering a flood management that excludes gates opening and then configures strictly unsupervised attenuation effects. Key factors of dams and related basins are considered to develop a ranking method that can emphasize the interplay between dam geometry and the hydrological processes acting in the upstream watershed. To maintain a homogeneous approach in such a wide geographic area, the attenuation index is computed applying the numerical solution of the differential equation of lakes and only two different standardized hydrograph shapes have been used. An index design flood from the rational method is used as the incoming peak value for each dam, enhancing the use of the results of a recent analysis of all Italian rainfall extremes. Even with a very simple approach, twenty-four different design incoming floods are derived, by varying the shape of the incoming hydrograph and the parameters of the rational method. Exploring the ranking results in all the alternatives, the attenuation potential obtained for all dams demonstrates to be strongly sensitive to the assumptions on the time of concentration and to some rainfall features. On the other hand, the hydrograph shape seems to exert much less influence on the ranking outcome. Results obtained can be useful to studies of wide-area flood frequency analyses, as we highlighted the sensitivity of the rank of attenuation efficiency to hydrologic parameters widely used in the assessment of the design flood peaks in ungauged basins.","PeriodicalId":23611,"journal":{"name":"Water Resources Management","volume":"88 17","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134901240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating Mesh Geometry and Shade Coefficient for Fog Harvesting Collectors 评价雾收集器的网格几何和阴影系数

3区环境科学与生态学

Water Resources Management Pub Date : 2023-11-14 DOI: 10.1007/s11269-023-03644-4

Abdullah A. Elshennawy, Magdy Y. Abdelaal, Ahmed M. Hamed, Mohamed M. Awad

{"title":"Evaluating Mesh Geometry and Shade Coefficient for Fog Harvesting Collectors","authors":"Abdullah A. Elshennawy, Magdy Y. Abdelaal, Ahmed M. Hamed, Mohamed M. Awad","doi":"10.1007/s11269-023-03644-4","DOIUrl":"https://doi.org/10.1007/s11269-023-03644-4","url":null,"abstract":"Abstract The most valuable resource for sustaining life on earth is water. In dry and semi-arid areas, the problem of water scarcity can be resolved with the aid of fog collection techniques employing fog collectors. Fog collection is greatly influenced by a variety of factors. Some are design parameters, while others depend on ambient circumstances. Geometry and the mesh’s shade coefficient are important design factors that can be modified and have an impact on the rate at which fog collects in fog collectors. The shape of the mesh holes and the process used to create the mesh serve to identify geometry and measure the shade coefficient. In this paper, a straightforward mathematical technique is proposed to make it easier to calculate the shade coefficient of various mesh shapes used in fog harvesting and to provide an approximation of the mesh volume and cost. Five alternative geometries were used: the rectangular mesh, square mesh, Raschel mesh, triangular mesh, and hexagonal mesh. The current simple method will facilitate the design of the fog mesh collector and can assist in achieving the ideal shade coefficient and most effective mesh geometry for fog harvesting. Rectangular meshes were solely used as an example to evaluate the results. Stainless steel rectangular meshes with various shade coefficients were tested for fog collection, and the amount of water collected by each mesh varied. It was concluded that the optimum shade coefficient ranged 50–60% for fog collection.","PeriodicalId":23611,"journal":{"name":"Water Resources Management","volume":"15 26","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134991508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reservoir Inflow Prediction: A Comparison between Semi Distributed Numerical and Artificial Neural Network Modelling 水库入流预测:半分布数值模型与人工神经网络模型的比较

3区环境科学与生态学

Water Resources Management Pub Date : 2023-11-14 DOI: 10.1007/s11269-023-03646-2

Mahesh Shelke, S. N. Londhe, P. R. Dixit, Pravin Kolhe

引用次数: 0

Multi-Objective Optimization and Coordination of Power Generation, Ecological Needs, and Carbon Emissions in Reservoir Operation 水库运行中发电、生态需求与碳排放的多目标优化与协调

3区环境科学与生态学

Water Resources Management Pub Date : 2023-11-13 DOI: 10.1007/s11269-023-03657-z

Shiwei Yang, Yuanqin Wei, Junguang Chen, Yuanming Wang, Ruifeng Liang, Kefeng Li

引用次数: 0

An Integrated Modeling Approach to Assess Best Management Practices (BMPs) for Improving Stream Water Quality Using the MapShed and WASP8 Models 利用MapShed和WASP8模型评估改善溪流水质的最佳管理实践(bmp)的综合建模方法

3区环境科学与生态学

Water Resources Management Pub Date : 2023-11-10 DOI: 10.1007/s11269-023-03655-1

Ayse Muhammetoglu, Pelin Orhan, Ozgun Akdegirmen, Secil Tuzun Dugan, Habib Muhammetoglu

引用次数: 0

Characterization and Classification of River Network Types 河网类型的表征与分类

3区环境科学与生态学

Water Resources Management Pub Date : 2023-11-07 DOI: 10.1007/s11269-023-03652-4

Li Fawen, Luo Qingyang, Zhao Yong

引用次数: 0

Determinants of Farmers’ Decision-Making Processes under Socio-Political Stressors exacerbated by Water Scarcity and Climate Change Adaptation 水资源短缺和气候变化适应加剧的社会政治压力下农民决策过程的决定因素

3区环境科学与生态学

Water Resources Management Pub Date : 2023-11-04 DOI: 10.1007/s11269-023-03651-5

G. Harik, R. Zurayk, I. Alameddine, M. El Fadel

引用次数: 0