Optimization of Water Resources Utilization by Multi-Objective Moth-Flame Algorithm

With the increasing power demand and rapid depletion of conventional fossil fuel resources, hydroelectric power resource has caused great attention of the public. A multi reservoir system with multiple objectives including ecological water demand, hydropower generation, and water diversion in Lushui River basin in China is under consideration in this context. Aiming to improve the efficiency of the water resources utilization, a novel method called multi-objective Moth-flame optimization algorithm (MOMFA) has been applied into this problem. The proposed algorithm involves the effective properties of the original Moth-flame optimization algorithm and two efficient mechanisms named opposition-based learning and indicator-based selection have also been integrated into the algorithm with the purpose of assisting the algorithm to accelerate the convergence and maintain the diversity simultaneously. The performance of the proposed MOMFA tested on a series of benchmarks and the Lushui River Basin. The result indicated that the proposed algorithm is not only capable of obtaining the well pareto solutions on standard problem but also can find the best tradeoff of the components and simultaneously achieve a set of well distributed non-dominated solutions for the multi-objective water resources utilization problem. Compare with the results obtained by other algorithms, the superiority of the proposed MOMFA has also been verified.     

Multi-Objective Differential Evolution-Chaos Shuffled Frog Leaping Algorithm for Water Resources System Optimization

A multi-objective differential evolution-chaos shuffled frog leaping algorithm (MODE-CSFLA) is proposed for water resources system optimization to overcome the shortcomings of easily falling into local minima and premature convergence in SFLA. The performance of MODE-CSFLA in solving benchmark problems is compared with that of non-dominated sorting genetic algorithm II (NSGA-II) and multi-objective particle swarm optimization (MOPSO). At last, the proposed MODE-CSFLA is used to optimize the water resources allocation plan of the East Route of the South-to-North Water Transfer Project in the normal, dry, and extremely dry years. The results reveal that MODE-CSFLA performs better than NSGA-II and MOPSO under all conditions. Compared with shuffled frog leaping algorithm (SFLA), MODE-CSFLA can result in a 29.39, 27.47 and 22.55% increase in water supply when the single objective is to minimize the water pumpage; and a 41.01, 39.63 and 30.94% decrease in total pumpage when the single objective is to maximize the water supply in the normal, dry, and extremely dry conditions, respectively. Thus, MODE-CSFLA has the potential to be used for solving complex optimization problems of water resources systems.     

循环经济理念下的水资源管理研究

根据循环经济的3R原则,对于水资源的治理应从输入、过程、输出三个环节入手,且水资源治理思路应从原来的末端所治理转向全过程控制,重在源头控制。     

Multi-Objective Planning for Conjunctive Use of Surface and Ground Water Resources Using Genetic Programming

Water Resources Management - In arid and semi-arid regions, climate change causes a drastic decline in the volume of water resources as water demands increase. Thus, the present study is aimed at...     

Pareto Optimization of Water Resources Using the Nexus Approach

The continuously growing population in combination with the escalating urbanization and economic growth increase the pressure on water, energy and food resources of our planet. This entails an urgent need for proper water resources management within the water-energy-food (WEF) nexus concept. The WEF nexus considers water, energy and food as three continuously interconnected sectors, whose complex interactions lead to an increased number of trade-offs and potential conflicts. Computational modeling can be used to quantify these interactions, reduce trade-offs and promote synergies. We investigate the water resources in the Upper Blue Nile River (UBNR) basin, one of the two main sources of the Nile, using the Hydronomeas tool. Hydronomeas is based on the parameterization-simulation-optimization method; optimization is implemented in two levels, using a holistic approach and multiple criteria. We assign various targets, constraints and priorities to the UBNR system of reservoirs, hydropower plants and irrigation projects and derive a Pareto front that contains alternative, optimal solutions, for which improvement of one objective can be achieved only at the expense of another. By visualizing the trade-offs between the conflicting objectives of hydropower and irrigation, we aim to help decision makers understand changes due to different management policies and thus, achieve greater efficiency in water resources management in the Nile region.     

基于小生境遗传算法的区域水资源优化配置

水资源优化配置作为解决区域水资源短缺的重要手段,对保证整个区域国民经济的可持续发展起着重要的支撑作用。以水资源优化配置理论为基础,基于某市水资源现状,通过建立水资源分配模型,利用小生境遗传算法求解水资源在各部门的配置。     

水资源管理与水环境管理

１水资源管理与水环境管理处在不同决策层次水资源管理要从掌握水的自然属性和商品属性规律出发提高资源利用率,实现社会、经济、环境效益最大化和水资源的可持续利用．所谓水的自然属性,可概括为“三流”和生态效应．“三流”为：（１）流量,指水量大小和时空分布;（２）流态,指流速、流势和水位;（３）流质,指污染物、营养盐、泥沙浓度与盐度．生态效应：指水资源时空变化带来的生态系统和构成变化．“水多水少”的传统水患,与“水浑水脏”的新问题,以及“某些流域水资源开发利用率过大”、“某个水利工程的不利生态影响”都是不…     

水资源管理与水利资产管理

水资源管理是自然资源管理，属于总体规划，合理配置的管理；水利资产管理是在整体规划的基础上，开发利用形成资产的管理。要根据我国水资源的开发利用状况和水利资产的具体情况进行管理。     

水利电子政务综合管理平台建设构想

根据山东省制定的近几年信息化建设目标要求,提出了水利电子政务综合管理平台的建设框架,并分别从总体框架和技术框架两个方面作了详细的阐述,为今后山东省水利厅电子政务建设提供了基础和技术保障。     

Parameters Optimization using Fuzzy Rule Based Multi-Objective Genetic Algorithm for an Event Based Rainfall-Runoff Model

The calibration of an event based rainfall-runoff model for steam flow forecasting is challenging because, it is difficult to measure the parameters physically on the field for each rainfall event. In the present study, Fuzzy rule based Multi-objective Genetic Algorithm (MGA) is developed to optimize the infiltration and roughness parameters of an event based rainfall-runoff model. Nash Sutcliffe Efficiency (NSE), Coefficient of Determination (R²) and transformed volume difference (f(V)) are used as the objective functions of the MGA and all Pareto optimal solutions are identified using Nondominated Sorting method. As three objective functions are included in the calibration, the number of Pareto optimal solutions are also increases and hence, the optimization problem now becomes a decision making problem. Therefore, to select the best solution from all Pareto optimal solutions, a Fuzzy Rule-Based Model (FRBM) is developed to get alternative values of each Pareto optimal solution. First, the Fuzzy rule based MGA is developed by integrating the FRBM with the MGA. Then the Fuzzy rule based MGA is integrated with an event based runoff model. The developed Fuzzy-MGA based runoff model is tested on three different watersheds and the simulation results of Fuzzy-MGA based runoff model are compared with observed data and previous study results. From the simulated events of three watersheds using Fuzzy-MGA based runoff model, it is observed that the mean percentage error in any criteria (i.e. volume of runoff, peak runoff, and time to peak) of the developed model for a watershed is less than 16.33%. It is also noted that the developed Fuzzy-MGA based runoff model is able to produce hydrographs that are much closer to the measured hydrographs.     

水资源管理模式探讨

本文以未资源工作由计划经济的管理体制,向适应社会主义市场经济要求的管理体制转变,及利用方式由粗放型变约型转变,这两个根本性转变、水资源管理新的含义和任务等理论进行探讨,以澄清思路,统一认识,为进一步做好水资源管理工作打下理论基础。     

最严格水资源管理制度视野下水资源概念探讨

为了解决日益严峻的水问题,我国决定建立并正在实施最严格水资源管理制度。为了细化和便于实施最严格水资源管理制度,需要对"水资源"这一基础术语的内涵和外延有一个符合法学理论的界定。通过比较和分析国内外、不同学科、不同国家法律对于水资源的不同认识、理解或者法律界定,基于最严格水资源管理制度的视野,需要综合考虑水物质及与其有关的各种作用和功能,对水资源的范围予以合理界定:在数量方面限于淡水资源,统计上仅包括地表水和地下水,不应该将空中水、土壤水和绿水包括在内;注重水质和纳污能力(容量)的管理;将水力、航运能力以及作为水资源载体的河流/水道、湖泊、湿地、水库/水坝、水塘、泉、井、冰川等,纳入最严格水资源管理制度的管理范围。     

Optimizing Structural Best Management Practices Using SWAT and Genetic Algorithm to Improve Water Quality Goals

A genetic algorithm (GA), an evolutionary optimization technique, is coupled with a semi-distributed hydrologic model, Soil and Water Assessment Tool (SWAT) to find an optimum combination of structural Best Management Practices (BMPs) that meets the treatment goals at a watershed scale. The structural BMPs considered in the study are detention ponds, parallel terraces, filter strips, grassed waterways, and grade stabilization structures which are all applicable in agricultural watersheds. The decision variables in the optimization model are the type, size, and location of BMPs which minimize the construction cost and simultaneously reduce sediment and nutrients to target levels at the watershed outlet. The model is demonstrated on the Silver Creek, a sub-watershed of the Lower Kaskaskia watershed in Illinois. The model is used to compare three different sediment and nutrient reduction cases (i.e. 20%, 40%, and, 60%) at the watershed outlet.     

重视水力资源调查评价工作促进水能资源管理

新疆的农村水力资源调查评价在水利部水电局的直接指导和自治区水利厅党组的正确领导下,在有关部门的大力支持和积极配合下,圆满完成了各项工作,为新疆水能资源开发,农村水电建设提供了坚实的保证.     

Water Resources Management and Integrated Water Resources Management (IWRM) in Cameroon

Cameroon is blessed with abundant water resources. Rapid population increase, unplanned urbanisation, intensive industrial and socio-economic development have led to poor and unsustainable management of these resources. Integrated Water Resources Management (IWRM) is a promising approach in ensuring sustainable management of Cameroon’s water resources. It entails management of water for various purposes and not for a single purpose which therefore involves different stake holders aiming at achieving sustainable water resources management. This paper seeks to evaluate recent efforts to implement in IWRM in Cameroon by examining the institutional framework for IWRM in Cameroon, conditions for the implementation of IWRM and proposes reforms for improving IWRM in Cameroon. The paper concludes that reforms such as public participation at local council levels, recognition of water as both an economic and a social good, putting IWRM within the larger context of Integrated Natural Resource Management (INRM) and the exploitation of mathematical models within hydrological basins will improve IWRM in Cameroon.     

实施最严格水资源管理促进水资源可持续利用

通过对承德县水资源开发利用现状及未来社会经济发展对水资源的需求分析,找出目前水资源短缺的主要原因和存在的问题,以实行最严格的水资源管理制度,建立水资源开发利用控制红线,用水效率控制红线,水功能区限制纳污红线为核心,提出可行性实施措施,以有限的水资源支撑经济社会可持续发展,实现水资源的可持续利用.     

努力推进水利工作的重点向管理转移

落实党的十六大提出的全面建设小康社会的宏伟目标,对水利工作提出了更高、更严、更迫切的要求,其中一个重要的方面就是要强力推进水利的依法管理、科学管理和民主管理.这是近几年来水利发展形势的要求,也是落实科学发展观的要求.从四川省水利工作的实际出发,探讨了把水利工作的重点转移到管理上来的形势分析和工作要求.     

基于自适应向量评估遗传算法的水资源优化配置模型及应用

为更好进行水资源配置,数学模型越来越复杂,其求解显得很重要。通过建立一个多目标水资源优化配置模型,把经改进的自适应遗传算法综合应用到多目标模型求解中,且给出了遗传算法实现自适应功能的计算公式,并将模型和求解方法应用在某市水资源配置实践。     

加强水资源管理 优化水资源配置

对泰兴市水资源管理体制的现状进行了分析。指出地表水和地下水要统一管理运用 ,须改变由于体制问题造成的地表水与地下水、城镇水资源与城市水资源的分割管理状况 ;重视地下水开发利用管理 ,研究农田灌溉用水定额。     

浅谈湖南省水资源概念、现状与管理

通过对水资源的概念,以及中国、湖南省水资源现状的阐述。得出全面推进保护水资源,节约水资源,开发利好水资源是构建节约型社会、缓解水源供需矛盾、遏制环境污染的重要途径。