A system dynamics approach for water resources policy analysis in arid land:a model for Manas River Basin

The Manas River Basin in Xinjiang Uygur autonomous region, similar to other arid regions, is facing water constraints which challenge decision-makers as to how to rationally allocate the available water resources to meet the demands from industries and natural ecosystems. Policies which integrate the supply and demand are needed to address the water stress issues. An object-oriented system dynamics model was developed to capture the interrelationships between water availability and increasing water demands from the growth of industries, agri- cultural production and the population through modeling the decision-making process of the water exploration ex- plicitly, in which water stress is used as a major indicator. The model is composed of four sectors： 1 ） natural surface and groundwater resources; 2） water demand; 3） the water exploitation process, including the decision to build reservoirs, canals and pumps; 4） water stress to which political and social systems respond through increasing the supply, limiting the growth or improving the water use efficiency. The model was calibrated using data from 1949 to 2009 for population growth, irrigated land area, industry output, perceived water stress, groundwater resources availability and the drying-out process of Manas River; and simulations were carried out from 2010 to 2050 on an annual time step. The comparison of results from calibration and observation showed that the model corresponds to observed behavior, and the simulated values fit the observed data and trends accurately. Sensitivity analysis showed that the model is robust to changes in model parameters related to population growth, land reclamation, pumping capacity and capital contribution to industry development capacity. Six scenarios were designed to inves- tigate the effectiveness of policy options in the area of reservoir relocation, urban water recycling, water demand control and groundwater pumping control. The simulation runs demonstrated that the technical solutions for im- proving water availability and water use efficiency are not sustainable. Acknowledging the carrying capacity of water resources and eliminating a growth-orientated value system are crucial for the sustainability of the Manas River Basin.

CAS-based Water Resources Optimal Allocation and Dynamic Simulation for Sewage Irrigation Area

Based on the theory of complex adaptive system(CAS),the optimal allocation model of water resources in sewage irrigation areas was established,which provided new ideas and application value for the rational utilization of agricultural production and waste water resources.The results demonstrated that the difference of crop energy capture mainly depended on the development stage.Waste water with a certain concentration was able to promote crop growth,while excessive concentration inhibited crop growth.The correlation between water absorption rate and leaf area index was close(R=0.9498,p<0.01).The amount of bad seeds increased at a speed of 34.7·d^-1,when system irrigated randomly in the seedling stage,while it tended to remain stable at a speed of 0.3·d^-1 after plants entering the mature stage which impacted the total yields of crops.

Coordinated optimal allocation of water resources and industrial structure in the Beijing-Tianjin-Hebei regions of China

Optimizing the allocation of water resources is critical for promoting the optimization and upgrading of industrial structure and coordinated development in the Beijing-Tianjin-Hebei regions of China.Based on specific regional and water conditions,to strengthen the constraints on water resources,the“three-step”adaptive management approach of“scheme design-scheme diagnosis-scheme optimization”of water resource allocation are adopted to facilitate the coordinated optimal allocation of water resources and industrial structure in the Beijing-Tianjin-Hebei regions.First,from the level of overall industry,a water resource allocation scheme for the regions is designed by applying the master-slave hierarchical mode and a bi-level optimal model to determine the ideal amount of water resource allocation for the regions and respective industries.Second,the diagnostic criteria of spatial balance,structural matching,and coordinated development are constructed to determine the rationality of the water resource allocation scheme.Then a benefit compensation function with water market transactions is developed,to adaptively adjust the water resource allocation scheme.Finally,the optimization and upgrading of industrial structure are promoted to improve water consumption efficiency and the coordinated development of the Beijing-Tianjin-Hebei regions.The study can provide reference for the Beijing-Tianjin-Hebei regions to realize the comprehensive optimal allocation of water resources in the regions and improve the adaptability of water resources and industrial structure optimization.

Study on ecological and economic effects of land and water resources allocation in Sanjiang Plain

The pattern of groundwater usage and industrial development in the Sanjiang Plain remains a concern of Chinese government. In accordance with the Water Conservancy Planning of the Sanjiang Plain, this paper presents a Sanjiang Plain resources allocation model which is established to be used in controlling water, land, ecology and economy in consideration of 50%-level and 75%-level years, planting structure adjustment, industry development by 2020, and different transit water exploitation schemes. Lingo10 global optimization has been adopted in solving the model. The results show that by 2020 the output of three industries will increase to a certain degree, the grain yields will satisfy state demand, and regional service value will decrease dramatically. Such results provide theoretical basis and practical significance for instructing the development and exploitation of the Sanjiang Plain.

Application of WEAP Simulation Model to Hengshui City Water Planning

Like many river basins in China, water resources in the Fudong Pai River are almost fully allocated. This paper seeks to assess and evaluate water resource problems using water evaluation and planning (WEAP) model via its application to Hengshui Basin of Fudong Pai River. This model allows the simulation and analysis of various water allocation scenarios and, above all, scenarios of users' behavior. Water demand management is one of the options discussed in detail. Simulations are proposed for diverse climatic situations from dry years to normal years and results are discussed. Within the limits of data availability, it appears that most water users are not able to meet all their requirements from the river, and that even the ecological reserve will not be fully met during certain years. But the adoption of water demand management procedures offers opportunities for remedying this situation during normal hydrological years. However, it appears that demand management alone will not suffice during dry years. Nevertheless, the ease of use of the model and its user-friendly interfaces make it particularly useful for discussions and dialogue on water resources management among stakeholders.

Impacts of water resource planning on regional water consumption pattern: A case study in Dunhuang Oasis, China

Water resources are critical for the existence and development of oases in endorheic basins.Thus,to enable sustainable development,it is fundamentally important to understand how to allocate and use these resources in a reasonable way.We therefore simulated and analyzed changes in water consumption pattern within the Dunhuang Oasis of China under three scenarios using a system dynamic model that corresponds to different water consumption pattern.This was done to assess the impacts of regional water resource planning(comprehensive planning of the rational use of water resource and protection of ecosystem services in the Dunhuang Basin)on water consumption pattern within the Dunhuang Oasis.The first of these,Scenario 1,is a baseline in which the status quo is maintained,while Scenario 2 incorporates the comprehensive effects of agricultural water-saving irrigation measures with an inter-basin water diversion project,and Scenario 3 focuses on ecological rehabilitation.In the baseline Scenario 1,the total water consumption within the Dunhuang Oasis increased progressively while agricultural water consumption remained extremely high and threatened overall ecological security.In contrast,Scenario 2 would decrease agricultural water consumption by almost 5.30×10^7 m^3 following the implementation of water-saving practices.The additional water allocated from an inter-basin water diversion project would play an important role in alleviating ecological strain on the oasis.Finally,in Scenario 3,the total irrigated land must be decreased to 20.6×10^3 hm^2 by 2025 assuming that water supply for ecosystem restoration would be at least 50%of the total consumption.Although water resource planning plays a very important role in alleviating the ecological water crisis within the oasis,it is necessary to consider the suitable scale of oasis with regard to current water consumption pattern.

Parametric Linear Stochastic Modelling of Benue River flow Process

The dynamics and accurate forecasting of streamflow processes of a river are important in the management of extreme events such as floods and droughts, optimal design of water storage structures and drainage networks. In this study, attempt was made at investigating the appropriateness of stochastic modelling of the streamflow process of the Benue River using data-driven models based on univariate streamflow series. To this end, multiplicative seasonal Autoregressive Integrated Moving Average (ARIMA) model was developed for the logarithmic transformed monthly flows. The seasonal ARIMA model’s performance was compared with the traditional Thomas-Fiering model forecasts, and results obtained show that the multiplicative seasonal ARIMA model was able to forecast flow logarithms. However, it could not adequately account for the seasonal variability in the monthly standard deviations. The forecast flow logarithms therefore cannot readily be transformed into natural flows;hence, the need for cautious optimism in its adoption, though it could be used as a basis for the development of an Integrated Riverflow Forecasting System (IRFS). Since forecasting could be a highly “noisy” application because of the complex river flow system, a distributed hydrological model is recommended for real-time forecasting of the river flow regime especially for purposes of sustainable water resources management.

The optimization of allocation for emergency resource of Urban rail under network conditions

After Anglicizing emergency resource allocation problem of Zhengzhou rail network, a dynamic programming algorithm is proposed, then make model for the problem, meanwhile searching the optimal solution for allocation of emergency resources with improved dynamic programming algorithm. The resulting optimal solution is accurate, and can be able to provide good decision support for optimal allocation of emergency resources of Zhengzhou rail transportation under network condition, making rail transport operations much safer.

县域水资源均衡配置研究

以米易县为例,针对典型县域最严格水资源红线控制和自然-社会水循环系统特点,采用总体缺水率最小和分区空间均衡为目标函数,总量控制、供水能力、分质供水等为约束条件,并采用改进时间-空间两层精英策略的非支配遗传算法,构建分区独立供水和库群联调的通用水资源调度与配置(GWAS)模型,并进行参数率定与验证,得出相关系数R为0.85,Nash效率系数为0.73,区域水文模块模拟精度较好。方案模拟研究表明,无论是基准年还是规划年,相对于水库分区独立供水,考虑均衡系数的库群联调方案更具优势,分区供水综合缺水率差异更大,而库群联调中各乡镇缺水率大幅减少,缺水差异更小。库群联调方案的水资源配置公平性更好,空间上各单元间的水量分配配置满足度高,可基本实现在动态变化下的区域水资源供需平衡。

淠史杭灌区干旱推演及抗旱预案调控研究

水资源干旱是限制灌区可持续发展的关键因素。为提高灌区的干旱防治能力,使其更好的发挥其在节水、减灾方面的作用,以淠史杭灌区为研究区,通过划分水资源配置子单元和设置调蓄节点,采用公平性最优和供水缺水率最小作为目标函数,总量控制、供水能力、分质供水等作为约束条件,采用基于精英策略的非支配遗传改进算法求解,构建区域General Water Allocation and Simulation Model(GWAS)模型;以2022年为现状基准年,与2023规划年组合,分为连续干旱与不连续干旱两大类,基于灌区水资源“应急干旱三次平衡”调控思想,分析灌区水资源在不同干旱情景下缺水的基础上,展开水资源抗旱配置研究,推演分析不同抗旱方案下水资源供需平衡情况。结果表明:连续干旱年中,灌区2023规划年在情景Ⅰ(P=90%)、情景Ⅱ(P=80%)来水频率下,各乡镇配置单元均存在不同程度的缺水情况,区域总缺水率分别为35.1%、20.8%;不连续干旱年中,2023规划年在情景Ⅲ(P=50%)来水频率下,模型基准配置水量基本可以满足区域各乡镇水量需求,区域总缺水率为5.9%。经不同抗旱方案尾部泵站补水、调整作物种植结构及外调水的优化配置后,三种情景下区域总缺水率最终都降为0%,优化后各配置单元供水改善效果显著。研究成果可为淠史杭灌区未来在应对不同干旱类型情景下水资源的合理调整提供技术支撑,并且可为实现该区域水资源统一管理和水量的统一调配提供理论依据。

基于系统动力学模型的郑州市水资源承载力动态模拟

水资源问题制约着缺水城市的可持续发展,近年来郑州市社会经济高速发展,其水资源有限的现状与用水需求快速增长之间的矛盾愈加凸显。为科学研究郑州市水资源承载力远期发展情况,根据郑州市经济社会现状的水资源供需和发展状况,采用多系统综合的系统动力学方法(System Dynamics,SD),结合水资源、生态、经济社会、水利工程四个子系统,构建郑州市水资源承载力研究的SD模型。将2010-2019年的历史数据与SD方法的模拟数据进行比较,平均误差均小于10%,具有较高的可信度,可用来预测郑州市未来的水资源承载力发展情况。在此基础上,通过设定现状延续、控污节流、开源控污和开源节流4种不同方案,对2020-2030年水资源承载力系数进行动态模拟预测。结果表明:2030年4种方案下的水资源承载力系数分别为1.24、1.18、1.00、0.89,现状延续和控污节流方案下的郑州市水资源承载力随着时间的推移呈现严重超载状态,无法承载郑州市经济社会的快速发展;开源控污方案在预测期内的水资源承载力超载状态会对经济社会发展产生较大阻力。故开源节流方案为最佳方案,水资源承载力系数小于1,在研究期内未出现超载状态,可有利缓解郑州市的缺水状况,促进经济社会的发展。结合4种方案的优点,提出有利于郑州市水资源可持续发展的建议与对策。

引江济淮工程(河南段)水资源调配系统设计与开发

为强化引江济淮工程(河南段)水资源统一调配,基于Spring Boot和Vue前后端分离开发的模式,利用天地图API、WebGL、Echarts等技术设计研发引江济淮工程(河南段)水资源调配系统。从设计思路、功能界面、关键技术3个角度论述系统设计思路和实现过程,从而实现地理信息服务、供需水预测、水资源优化配置、水资源优化调度等功能,实现水量分配可视化、运行调度智能化和跨流域调水管控一体化。系统测试结果表明:引江济淮工程(河南段)水资源调配系统的建立提高了受水区水资源精细化管理的水平,解决了引江济淮工程(河南段)跨流域调水的配置难题,为受水区水资源高效利用提供有效的技术支撑。

基于水资源空间均衡的“四水四定”调控模型构建

为实现未来不同时间尺度下的水资源空间均衡与动态调控,创建了一套完整严谨、可动态调控的“四水四定”模型体系。通过模糊信息粒化窗口的支持向量机模型预测区域未来总用水量,利用基于时间序列相似性分析的自回归支持向量机模型预测区域未来分用水量,并对两类数据进行不确定性分析;构建了复杂回归函数对各类用水指标进行情景预测,经统计检验后将其作为当前用水模式下未来用水指标;构建了“四水四定”水资源承载力模型和水资源空间均衡模型,基于未来总用水量、未来各分用水量、未来用水指标,选用水资源负载系数、用水效益和水土资源匹配系数3个指标,结合基尼系数量化水资源空间均衡度,分析当前用水模式下未来水资源均衡度;构建了最优化模型,以最小化基尼系数为目标函数调整未来用水模式,实现水资源动态调控。所创建的模型体系可以实现未来不同时间尺度下的水资源空间均衡与动态调控。

基于供水量的两级渠系优化配水模型

【目的】基于灌区实际供水量构建两级渠系优化配水模型,提供各用水单元的配水量、配水流量、配水时间。【方法】本文分2种情形构建模型,情形1:非充分灌溉,作物某生育时期内供水无法满足需水,模型首先通过水资源配置确定每个用水户的分配水量,再通过渠系优化配水模型确定每条渠道的配水流量和配水时间;情形2:充分灌溉,供水能够满足需水,根据配置系数确定各渠道配水的优先次序,再确定配水流量和配水时间。【结果】将模型运用到山东省簸箕李灌区,验证模型的适用性,结果表明本模型能够根据灌区的供水量提供水资源配置方案和渠系配水方案。供水充足时,模型根据配置系数确定配水次序;供水不足时,模型根据分配系数确定水资源分配量。情形1和情形2支渠的配水流量分别在流量上限的0.8倍与0.75倍以上,做到了大流量配水;2种情形的配水周期分别为10.90、17.84 d,缩短了灌溉周期。【结论】本文建立的模型能够依据供水量首先提供水资源分配方案或配置次序,再以此为基础,提供配水方案,即配水流量、配水开始时间、配水结束时间,从而指导灌区的配水工作。

面向高质量发展的缺水地区水资源优化配置模型及应用

科学合理的水资源配置方案是实现北方缺水地区高质量发展的重要基础。在系统梳理相关研究成果的基础上,分析北方缺水地区水资源特点和未来配置需求,提出面向高质量发展的北方缺水地区水资源优化配置模型框架。从目标函数、约束条件、参数设置、算法设计等方面开展系统建模,并从惯性权重与学习因子两个角度对传统粒子群算法进行改进和有效性检验。最后,将模型和算法应用于北方典型缺水城市阳泉市的水资源配置方案研究。结果表明:阳泉市工业和生活用水具有较大节水潜力,平定县是最大用水户;规划水平年节水情景显著提升了缺水地区的需水满足程度和水生态环境承载能力;构建的高质量发展目标和北方缺水地区关键约束的水资源优化配置模型具有可行性。

基于动态博弈模型的多水源-多用户水价定价机制研究——以义乌市为例

水价是促进水资源合理配置的一个重要杠杆,关系到经济社会的健康发展,科学合理制定水价是实现健康有序发展的核心。当前我国水价的制定由于核准机制难以统一、成本形成时间不同、多水源-多用户的科学比价关系尚未建立等原因难以解决复杂的水资源配置问题。为推进分质供水和再生水利用,实现优质优价,发挥水价机制在多水源配置中的调节作用,建立科学合理的多水源-多用户均衡水价体系势在必行。本文从水价定价市场化的视角出发,充分考虑了多水源市场的供需状况、供求主体和其地因素在多水源定价过程中的作用机理,并以义乌市为例,构建地方政府、供水企业与用水户分别居于主导的Stackelberg博弈模型,对比分析了3个主体在不同情况下的均衡价格与收益。结果表明:在用水户占主导的情况下,多水源水价价格最低,供水企业占主导地位的情况下,总体收益最高,得到的价格体系为水库水-居民用户5.63元/m^(3),水库水-非居民用户6.20元/m^(3),水库水-特种用户6.21元/m^(3),河道水-非居民用户3.34元/m^(3),再生水-居民用户2.95元/m^(3),再生水-非居民用户3.06元/m^(3)。此价格体系可以实现供水企业盈利合理、用水户支付合理和水资源配置合理的均衡目标,为实现水资源市场化定价提供理论依据,同时为这一领域的后续研究提供思路参考。

System Dynamics Model of Urban Water Resources Use and It’s Application

A new urban water resources use and forecasting model consturcted by comprehensive considering the balance between the supply and demand of the water resources system to an industry city and the feedback relationship of the water resources control policy,and by applying DYNAMO language is presented in this paper.It can give more rational data of urban water resources simulation and planning than that given by the growth rate trend forecasting method.

新形势下黄河流域水资源配置SD模型构建与仿真

新形势下,黄河流域水资源已经具备了重新调配的条件。通过系统分析流域水资源配置新形势各要素对其配水格局的动态影响,构建新形势下黄河流域水资源配置系统动力学(system dynamics,SD)模型,根据模型仿真结果提出黄河流域水资源动态配置方案。结果表明:新形势前(2010—2013年),黄河流域水量分配偏好中下游地区;新形势后至基准年(2014—2019年),流域配水格局重心逐渐向黄河上游移动,供水区水资源供需缺口总量减少近5.6亿立方米;基准年至南水北调西线工程生效前(2020—2029年),流域水资源配置规模和供水区水资源供需缺口量的变化基本延续2014—2019年的发展趋势;西线工程生效后(2030—2035年),流域水资源配置格局重心向下游倾斜,供水区水资源供需缺口出现结构性下降。

基于GWAS模型的邯郸市水资源优化配置研究

近年来邯郸市上游河流入境水量减少,地下水开采总量愈加限制,难以满足不同行业大幅度上升的用水需求,加之南水北调、引黄和引卫工程建设后对一部分行业供水水源的置换,邯郸市水资源短缺问题和供需矛盾越发尖锐复杂。通过分析邯郸市的水资源特点及水利工程分布特征,并对各区县进行水量供需预测,基于GWAS构建了邯郸市多水源、多用户和多目标的水资源优化配置模型。结果显示:邯郸市2025年P=50%保证率的总需水量为3013.01×10^(6)m^(3),总分配水量为2473.97×10^(6)m^(3),缺水率为17.89%;P=75%保证率的总需水量为3434.90×10^(6)m^(3),总分配水量为2498.22×10^(6)m^(3),缺水率为27.27%。缺水主要集中在第一产业。配置结果符合邯郸市的实际用水情况,研究成果可为邯郸市水资源管理提供技术参考。

基于改进粒子群算法的阳泉市水资源优化配置研究

水资源短缺问题已成为制约社会经济发展的重要因素。以阳泉市为例,综合考虑水资源总量、各水源的供水方式与各用水户的需水方式3个因素,以缺水量总和最小、COD排放量最小、供水净效益最大为目标,建立多目标水资源优化配置模型;为提高粒子群算法求解结果的准确度与全局寻优能力,对算法中的惯性权重与学习因子进行线性优化,并进行了验证;基于改进粒子群算法对山西省阳泉市的水资源优化配置进行研究。结果显示:一般方案与节水方案下的总用水量与COD排放量均未超过约束范围;节水方案下的供水净效益比一般方案低4.027亿元,缺水量总和与COD排放量比一般方案分别低663.648万m^(3)、425.375 t;节水方案在缓解各行政区缺水现象的同时降低了COD的排放量,减少了生态环境压力,说明所得的优化配置方案较为合理,可为其他水资源严重短缺地区选取水资源配置方案提供科学依据。