基于系统动力学的巢湖流域水资源承载力动态预测与调控

湖泊流域水资源承载能力动态预测与调控是维护湖泊生态安全、保障社会经济健康持续发展的重要基础和手段.本文以巢湖流域为研究对象,提出基于系统动力学的湖泊流域水资源承载力动态预测技术和试验优化调控方法.首先以县(市)为基本单元构建水资源承载力系统动力学模拟与动态预测模型;再从空间上将各县(市)耦合为流域系统整体模型,并通过敏感性分析筛选量质要素调控指标;最后采用正交试验设计确定流域水资源承载力优化调控方案.结果表明:由于流域内产业规模的扩大以及城镇化率的提升,20172050年巢湖流域水资源承载状态值整体呈恶化趋势,并于2030年以后将长期处于超载状态,通过对影响要素针对性优化调控后,20172050年流域水资源承载状态均达到临界或可载.研究表明本文提出的方法对于促进区域社会经济环境协调发展和改善流域水资源承载力具有较好的实际应用价值.     

滨海地区基于避咸蓄淡模式的供水安全临界流量研究——以粤港澳大湾区珠澳供水为例

枯水期咸潮入侵已经严重威胁到了感潮河流区域供水安全.本文通过构建避咸蓄淡供水模型,耦合了咸度预测、河库联合供水调度和供水安全分析模块,为依赖感潮河流为水源地的区域供水安全管理提供了一种整体思路和决策方法.以面向粤港澳大湾区珠海东部及澳门的珠江三角洲磨刀门水道取供水为例,基于潮汐、径流和风等因子及咸度实测数据,较好地拟合了基于BP神经网络的咸度预测模型,及含氯度与超标时间的曲线函数,建立了上游来水和咸度超标时间之间的联系,得到了避咸蓄淡取水时机.咸度预测与当地河库联合供水调度相结合,得到了上游枯水期来水过程的当地区域供需平衡状况.枯水期不考虑水库调蓄的资源性缺水临界需水量为3.22亿m³,水库参与调蓄的工程性缺水临界需水量为3.75亿m³.通过供水安全分析模块,基于设定的风险阈值和临界阈值识别出了不同需水规模的上游来水临界流量特征.对于当地规划的需水规模4.23亿m³,期望上游枯水期临界流量均值约为3372 m³/s.整体上来说,需水规模越大,对上游来水期望的临界流量越大,但同时还与枯水期流量分布有关.     

南北同枯场景下南水北调中线丹江口水库供水调度方式

南北同枯场景下南水北调中线丹江口水库供水调度是保障水源工程有效供给、优化配置供水水源的重要课题,如何科学制定不同供水对象的供水水量、兼顾水源区及受水区用水需求、充分发挥丹江口水利枢纽的调蓄作用,是南水北调中线工程功能效益发挥的关键.以南水北调中线水源工程丹江口水库为研究对象,深入分析了中线工程通水后丹江口水库供水现状及面临的技术难题,从而提出南北同枯场景的判别标准及相应水库供水调度的方法,揭示了汉江中下游、清泉沟和南水北调中线供水对水库起始供水水位的响应机理,提出"蓄丰补枯、均衡减少"的方法是南北同枯场景下丹江口水库的供水调度方式,不同供水起始水位及供水方式情况下供水调度仿真结果表明,本文所得结论可为丹江口水库在实际运行中制定调度方案提供参考.     

中国水库生态学研究的回顾与展望

水库是通过人工筑坝形成的水体,其早期功能主要是防洪、发电、灌溉和航运等,但随着全球水资源供需矛盾的加剧,水库供水成为缓解供水压力的最主要途径.水坝是人类影响地球表面水体最重要的工程建筑,筑坝修建水库利用水资源对全球水环境系统产生了巨大的影响.中国是水资源短缺的国家,水库供水在国民经济发展中发挥着重要作用,大量水库的建成也对我国水环境系统产生了多方面的影响.刘建康先生在1955年发表了我国水库生态学研究的第一篇论文,揭开了我国水库生态学研究的序幕.我国水库生态学大致分为三个阶段,1955-1975年的起步阶段、1976-2000年以水库渔业生产为目标的研究阶段和2001年至今以水库水质管理为目标的研究阶段.当前,水质、水质模拟、富营养化、环境容量和生态调度等已成水库生态学研究中的关键词.我国水库研究主要集中在珠江流域和长江流域,以大型供水水库为对象.在水利学科领域,有大量有关水库水文、水动力学和调度的研究论文,这些工作还未能被以生物和化学为研究基础的生态或环境科学的学者所重视.多数以水库为对象的生态学研究还没有很好地体现水库作为人工湖泊的特殊性.近10年来,中国水库生态学经历了从任务导向到学科导向的生态学研究过渡,有不断增加学科交流的趋势.有理由相信,作为水库大国,中国水库生态学和湖沼学今后将会有一很大的发展,并对我国淡水生态学和湖沼学作出重要的贡献.     

多目标驱动的太湖调度水位研究

太湖是流域洪水集散地、水资源调配中心,也是长三角水生态环境的晴雨表,其水位高低影响防洪、供水、水生态、水环境等系统功能,使得太湖面临统筹调度问题日益凸显。本文以太湖为主要研究对象,基于多年实测数据,采用数理统计、河网水动力模型计算,分析流域降雨、进出湖水量和水生态环境演变规律及其与太湖水位的互馈关系,综合考虑不同调度期流域防洪、供水、水生态、水环境目标及其承受风险的时空差异性,优化太湖调度水位,并在此基础上提出太湖调度功能区划图。结果表明,在设计洪水和供水条件下,通过调度水位调整,统筹调控流域水工程,前期预降太湖水位,后期适抬太湖水位,实现太湖多目标调度,可有效保障流域防洪、供水和航运安全,改善河湖生态环境,共绘美丽太湖。     

太湖流域水管理的实践与思考

太湖流域北抵长江,南邻钱塘江,东濒大海,面积3.69×10⁴km²,人口 3887万.流域内河流纵横交错, 河网如织,湖泊星罗棋布.素有'苏湖熟,天下足'和"赋出天下,江南居什九"之说,是历朝历代重要的税赋之地.2003年全流域国内生产总值15100亿元,占全国的13%;财政收入4123亿元,占全国的19%;城镇化率达66.5%,是我国经济最发达、城市化程度最高的地区之一由于太湖流域重要的经济社会地位,因此历朝历代对太湖流域治理都极为重视六朝相继建都南京,将太湖流域作为重要经济区域,做了不少有名的水利工程,如开挖江南运河、頓塘等河道,修建鉴湖、练湖等灌溉工程;隋唐五代,兴筑大量塘坝,修建吴江塘路,拓浚整治河道,发展农业灌溉;北北宋时期,治理吴凇江,浚治支河、支港;元明清时期,基本是继承宋代疏导为主的治水方针,致力于下游排水出路整治,开挖范家浜, 冲出黄浦江;民国时期,战乱频繁,社会动荡,水利设施长期失修,削弱了抵御洪涝灾害的能力.新中国成立后,各级政府高度重视水利建设,流域内各地大规模兴建水库塘坝,拓浚整治河道,修建改造圩堤涵闸,新修排灌系统,区域防洪、除涝和供水能力有了很大的提高,水利建设成就斐然,为经济社会发展创造了条件.     

流域科学:连接水文学与流域可持续管理的枢纽

近几十年来,为了更好地认识和管理不同时空尺度的水循环,许多水科学和管理项目相继问世,如生态水文学、全球水文学、社会水文学、供水管理、需水管理和水资源综合管理(Integrated Water Resources Management, IWRM)等.与此同时,示踪、制图、遥感、机器学习和模拟等先进技术也广泛应用于水文过程和水资源研究中.尽管如此,全球水危机仍日益加剧.究其原因在于水文水资源研究和管理之间未能在不同时空尺度建立有效的链接和交流来实现联合国可持续发展目标.流域是水资源管理的基本单元,流域科学有望搭建水文水资源研究与管理之间的桥梁.本文首先回顾水文研究和水资源管理的进展,进而讨论了全球水资源界面临的问题和挑战.在此基础上,提出了流域科学的四个核心组成部分:(1)水文分析;(2)水资源政策;(3)综合治理;(4)管理与反馈.该构架综合考虑水资源拥有量和用水量及水质,量化水循环的储存、通量和质量,基于地球环境边界条件理论确定当地水资源阈值;提出水资源管理的具体可行措施.流域科学为应对当前全球水危机和实现联合国可持续发展目标提供了互补性水资源管理途径.     

中国东南丘陵山区水质良好水库现状与天目湖保护实践

东南丘陵山区是我国水库分布最为集中的区域之一,这些水库在保障区域供水安全方面具有极其重要的作用,应该优先保护.然而,水库水环境保护正面临丘陵山区开发强度持续增加,开发方式和空间布局不合理,氮、磷污染及富营养化趋势严峻,缺乏完善监测和管理体系等众多问题.本文以2000年以来天目湖水库保护实践过程为例,从库体水环境治理、流域污染物削减和综合管理3个方面介绍天目湖沙河水库保护的措施和成效,在此基础上提出良好湖库优先保护的建议:建立具有部门协调能力的水库管理机构,实行基于湖库水生态目标的水质目标管理,治理丘陵山区茶果园的面源污染,注重流域生态系统整体的恢复,禁止上游水源涵养区和临湖地带的开发,划定生态保护红线,明确禁止和限制的开发类型与规模,加强湖库及流域的监测和预警,开展必要的水库水体治理工程,并针对性地制定湖库管理条例.天目湖十几年的保护实践中有效地解决了流域开发与水库水质保护之间的矛盾,使天目湖水质由快速恶化转为稳步好转,为东南丘陵山区经济发展过程中水库的环境保护探索了一条道路.     

天津市北塘水库水质咸化原因和防治对策

为确定天津市北塘水库作为南水北调供水调节和事故备用水库的水质安全性,于2005年7-12月,监测分析水体、底泥和库周土壤中全盐量和Cl-浓度的变化,研究水源补给、底泥释放、降雨蒸发和地下水水位变动等因素对水库水质的影响.结果表明在目前蓄潮白新河水的条件下,北塘水库水中的Cl-浓度变化幅度为302-409 mg/L,超过饮用水水源地的水质标准(GB3838-2002).库区0-100 cm底泥全盐量平均值为0.253%,Cl-含量为0.048%,分别是库周土壤的1/8和1/18.3.因此,蓄水造成水库底泥盐分的大量释放.经计算,Cl-的平均释放强度为1.3g/(m2·d).南水北调通水后,若水库保持在5.60m以上的运行水位,底泥释放虽造成Cl-浓度上升,但水质能达到供水水源地的标准.水库周边地下水的矿化度为59.63g/L,Cl-浓度为26.17 g/L,远高于水库水体的含盐量,但只要在5.60m以上水位运行,水库就不会受到高矿化度地下水的补给影响.因此,在合理调度的基础上,北塘水库作为天津市南水北调供水调节和事故备用水库是安全的.     

呼伦湖水位、盐度变化(1961-2002年)

为重建水文资料缺乏的呼伦湖流域的水文、水质序列,本研究基于长期的气象观测记录,采用彭曼公式估计了湖泊的水面蒸发,并建立一个两参数月水量平衡模型模拟湖周的入流,通过水量平衡计算．建立了42年(1961-2002)的呼伦湖区水量变化序列,并模拟了湖泊月水量、水位、含盐度的变化．模拟的水位、含盐度变化趋势与实际比较接近,模拟精度较好,其误差在可以接受范围内.所重建的42年呼伦湖区水文、含盐度序列,可为该区域的水资源评价管理、开发利用提供科学依据.     

Simulation and optimization model for irrigation planning and management

A simulation and optimization model was developed and applied to an irrigated area in Delta, Utah to optimize the economic benefit, simulate the water demand, and search the related crop area percentages with specified water supply and planted area constraints. The user interface model begins with the weather generation submodel, which produces daily weather data, which is based on long‐term monthly average and standard deviation data from Delta, Utah. To simulate the daily crop water demand and relative crop yield for seven crops in two command areas, the information provided by this submodel was applied to the on‐farm irrigation scheduling submodel. Furthermore, to optimize the project benefit by searching for the best allocation of planted crop areas given the constraints of projected water supply, the results were employed in the genetic algorithm submodel. Optimal planning for the 394·6‐ha area of the Delta irrigation project is projected to produce the maximum economic benefit. That is, projected profit equals US$113 826 and projected water demand equals 3·03 × 10⁶ m³. Also, area percentages of crops within UCA#2 command area are 70·1%, 19% and 10·9% for alfalfa, barley and corn, respectively, and within UCA#4 command area are 41·5%, 38·9%, 14·4% and 5·2% for alfalfa, barley, corn and wheat, respectively. As this model can plan irrigation application depths and allocate crop areas for optimal economic benefit, it can thus be applied to many irrigation projects. Copyright © 2003 John Wiley & Sons, Ltd.     

Evaluation of irrigation water use efficiency using remote sensing in the middle reach of the Heihe river,in the semi‐arid Northwestern China

Irrigation of agricultural oases is the main water consumer in semi‐arid and arid regions of Northwestern China. The accurate estimation of evapotranspiration (ET) on the oases is extremely important for evaluating water use efficiency so as to reasonably allocate water resources, particularly in semi‐arid and arid areas. In this study, we integrated the soil moisture information into surface energy balance system (SEBS) for improving irrigated crop water consumption estimation. The new approach fed with the moderate resolution imaging spectro‐radiometer images mapped spatiotemporal ET on the oasis in the middle reach of the Heihe river. The daily ET outputs of the new approach were compared with those of the original SEBS using the eddy correlation observations, and the results demonstrate that the modified SEBS remedied the shortcoming of general overestimating ET without regard to soil water stress. Meanwhile, the crop planting structure and leaf area index spatiotemporal distribution in the studied region were derived from the high‐resolution Chinese satellite HJ‐1/CCD images for helping analyse the pattern of the monthly ET (ET_monthly). The results show that the spatiotemporal variation of ET_monthly is closely related to artificial irrigation and crop growth. Further evaluation of current irrigation water use efficiency was conducted on both irrigation district scale and the whole middle reach of the Heihe river. The results reveal that the average fraction of consumed water on irrigation district scale is 57% in 2012. The current irrigation water system is irrational because only 52% of the total irrigated amount was used to fulfil plant ET requirement and the rest of the irrigation water recharged into groundwater in the oasis in 2012. However, in view of the whole middle reach of the Heihe river, the irrigation water use efficiency could reach to 66% in 2012. But pumping groundwater for reused irrigation wastes mostly energy instead of water. An improved irrigation water allocation system according to actual ET requirement is needed to increase irrigation efficiency per cubic meter water resource in an effort to save both water and energy. Copyright © 2014 John Wiley & Sons, Ltd.     

Fuzzy chance-constrained linear fractional programming approach for optimal water allocation

A fuzzy chance-constrained linear fractional programming method was developed for agricultural water resources management under multiple uncertainties. This approach improved upon the previous programming methods, and could reflect the ratio objective function and multiple uncertainties expressed as probability distributions, fuzzy sets, and their combinations. The proposed approach is applied to an agricultural water resources management system where many crops are considered under different precipitation years. Through the scenarios analyses, the multiple alternatives are presented. The solutions show that it is applicable to practical problems to address the crop water allocation under the precipitation variation and sustainable development with ratio objective function of the benefit and the irrigation amount. It also provides bases for identifying desired agriculture water resources management plans with reasonable benefit and irrigation schedules under crops.     

黄河流域气候与农业种植面积变化对径流的影响

根据黄河流域1960—2005年5个水文站逐日流量、77个气象站1959—2013年逐日降水数据,结合流域内主要农作物种植面积及大型水库资料,全面探讨气候与农业面积变化及人类活动对黄河流域径流变化的影响.研究表明:黄河流域所有流量分位数总体呈下降趋势,并于1980s中后期到1990s中期发生突变.降水变化是黄河流域径流变化的主要影响因素.在考虑不同流量分位数情况下,农作物种植面积变化对不同分位数径流变化的影响也有差异性.花园口站农作物种植面积变化对径流量量级和可变性均有显著影响;其余4站各项气候变化与农作物种植指标参数较大,虽均未达到10%的显著性水平,但仍会对径流的量级变化产生影响.对唐乃亥站,农作物耕作面积的下降减少了灌溉用水,在0.5流量分位数时有高达60%增加径流量的间接作用.对于头道拐站,农作物耕作面积的增加使得流域总蒸发量增加,灌溉用水增加,在0.3流量分位数时有高达40%减少径流量的间接作用.该研究为气候变化与人类活动影响下黄河流域水资源优化配置提供重要理论依据.     

Assessing crop yield and crop water productivity and optimizing irrigation scheduling of winter wheat and summer maize in the Haihe plain using SWAT model

Haihe plain is an important food production area in China, facing an increasing water shortage. The water used for agriculture accounts for about 70% of total water resources. Thus, it is critical to optimize the irrigation scheduling for saving water and increasing crop water productivity (CWP). This study first simulated crop yield and CWP for winter wheat and summer maize in historical scenario during 1961–2005 for Haihe plain using previously well‐established Soil and Water Assessment Tool model. Then, scenarios under historical irrigation (scenario 1) and sufficient irrigation (scenario 2) were, respectively, simulated both with sufficient fertilizer. The crop yield in scenario 2 was considered as the potential crop yield. The optimal irrigation scheduling with sufficient fertilizer (scenario 3) was explored by iteratively adjusting irrigation scheduling based on the scenario 1 and previous studies related to water stress on crop growth. Results showed that net irrigation amount was, respectively, reduced 23.1% and 18.8% in scenario 3 for winter wheat and summer maize when compared with scenario 1. The CWP was 12.1% and 8.2% higher with very slight change of crop yield. Using optimal irrigation scheduling could save 8.8 × 10⁸ m³ irrigation water and reduce about 16.3% groundwater over‐exploitation in winter wheat growth period. The corresponding yield was 18.5% and 12.9% less than potential yield for winter wheat and summer maize but using less irrigation water. Therefore, it could be considered that the optimal irrigation was reasonable, which provided beneficial suggestions for increasing efficiency of agricultural water use with sustainable crop yield in Haihe plain. Copyright © 2013 John Wiley & Sons, Ltd.     

Extraction of information content from stochastic disaggregation and bias corrected downscaled precipitation variables for crop simulation

We applied a simple statistical downscaling procedure for transforming daily global climate model (GCM) rainfall to the scale of an agricultural experimental station in Katumani, Kenya. The transformation made was two-fold. First, we corrected the rainfall frequency bias of the climate model by truncating its daily rainfall cumulative distribution into the station’s distribution based on a prescribed observed wet-day threshold. Then, we corrected the climate model rainfall intensity bias by mapping its truncated rainfall distribution into the station’s truncated distribution. Further improvements were made to the bias corrected GCM rainfall by linking it with a stochastic disaggregation scheme to correct the time structure problem inherent with daily GCM rainfall. Results of the simple and hybridized GCM downscaled precipitation variables (total, probability of occurrence, intensity and dry spell length) were linked with a crop model for a more objective evaluation of their performance using a non-linear measure based on mutual information based on entropy. This study is useful for the identification of both suitable downscaling technique as well as the effective precipitation variables for forecasting crop yields using GCM’s outputs which can be useful for addressing food security problems beforehand in critical basins around the world.     

Grain yield reliability analysis with crop water demand uncertainty

A new method of reliability analysis for crop water production function is presented considering crop water demand uncertainty. The procedure uses an advanced first-order second moment (AFOSM) method in evaluating the crop yield failure probability. To determine the variance and the mean of actual evapotranspiration as the component of interest for AFOSM analysis, an explicit stochastic optimization model for optimal irrigation scheduling is developed based on the first and second-order moment analysis of the soil moisture state variables. As a result of the study, the violation probabilities of crop yield at different levels were computed from AFOSM method. Also using the optimization results and the double bounded density function estimation methodology, the weekly soil moisture density function is derived which can be used as a short term reliability index. The proposed approach does not involve any discretization of system variables. The results of reliability analysis and optimization model compare favorably with those obtained from simulation.     

Simple water balance modelling of surface reservoir systems in a large data-scarce semiarid region / Modélisation simple du bilan hydrologique de systèmes de réservoirs de surface dans une grande région semi-aride pauvre en données

Abstract

Abstract Water resources in dryland areas are often provided by numerous surface reservoirs. As a basis for securing future water supply, the dynamics of reservoir systems need to be simulated for large river basins, accounting for environmental change and an increasing water demand. For the State of Ceará in semiarid Northeast Brazil, with several thousands of reservoirs, a simple deterministic water balance model is presented. Within a cascade-type approach, the reservoirs are grouped into six classes according to storage capacity, rules for flow routing between reservoirs of different size are defined, and water withdrawal and return flow due to human water use is accounted for. While large uncertainties in model applications exist, particularly in terms of reservoir operation rules, model validation against observed reservoir storage volumes shows that the approach is a reasonable simplification to assess surface water availability in large river basins. The results demonstrate the large impact of reservoir storage on downstream flow and stress the need for a coupled simulation of runoff generation, network redistribution and water use.     

Water management for irrigation,crop yield and social attitudes: a socio-agricultural agent-based model to explore a collective action problem

ABSTRACT

When rainfall does not meet crop water requirements, supplemental irrigation is needed to maintain productivity. On-farm ponds can prevent excessive groundwater exploitation – to the benefit of the whole community – but they reduce the cultivated area and require investments by each farmer. Thus, choosing the source of water for irrigation (groundwater vs on-farm pond) is a problem of collective action. An agent-based model is developed to simulate a smallholder farming system; the farmers’ long-/short-view orientation determines the choice of the water source. We identify the most beneficial water source for economic gain and its stability, and how it can change across communities and under future climate scenarios. By using on-farm ponds, long-view-oriented farmers provide collective advantages but have individual advantages only under extreme climates; a tragedy of the commons is always possible. Changes in farmers’ attitudes (and hence sources of water) based on previous experiences can worsen the economic outcome.     

Assessment of surface water resources and evapotranspiration in the Haihe River basin of China using SWAT model

Quantitative assessment of surface water resources (SWRs) and evapotranspiration (ET) is essential and significant for reasonably planning and managing water resources in the Haihe River basin which is facing severe water shortage. In this study, a distributed hydrological model of the Haihe River basin was constructed using the Soil and Water Assessment Tool, well considering the reservoirs and agricultural management practices for reasonable simulation. The crop parameters were independently calibrated with the observed crop data at six experimental stations. Then, sensitivity ranks of hydrological parameters were analysed, which suggested the important parameters used for calibration. The model was successfully calibrated using the monthly observed data of discharge in around 1970–1991 and actual ET (ET_a) in 2002–2004 for the mountainous area and Haihe plain, respectively. Meanwhile, good agreements between the simulated and statistical crop yields in 1985–2005 further verified the model's appropriateness. Finally, the calibrated model was used to assess SWRs and ET_a in time and space during 1961–2005. Results showed that the average annual natural SWRs and the ET_a were about 17.5 billion cubic metre and 542 mm, respectively, both with a slight downward trend. The spatial distributions of both SWRs and ET_a were significantly impacted by variations of precipitation and land use. Moreover, the reservoir in operation was the main factor for the noticeable decline of actual SWRs. In the Haihe plain, the ET_a with irrigation was increased by 46% compared with that under rainfed conditions. In addition, this study identified the regions with potential to improve the irrigation effects on water use. Copyright © 2012 John Wiley & Sons, Ltd.