COMPARISON OF STOCHASTIC AND DETERMINISTIC DYNAMIC PROGRAMMING FOR RESERVOIR OPERATING RULE GENERATION1

ABSTRACT: Two dynamic programming models — one deterministic and one stochastic — that may be used to generate reservoir operating rules are compared. The deterministic model (DPR) consists of an algorithm that cycles through three components: a dynamic program, a regression analysis, and a simulation. In this model, the correlation between the general operating rules, defined by the regression analysis and evaluated in the simulation, and the optimal deterministic operation defined by the dynamic program is increased through an iterative process. The stochastic dynamic program (SDP) describes streamflows with a discrete lag-one Markov process. To test the usefulness of both models in generating reservoir operating rules, real-time reservoir operation simulation models are constructed for three hydrologically different sites. The rules generated by DPR and SDP are then applied in the operation simulation model and their performance is evaluated. For the test cases, the DPR generated rules are more effective in the operation of medium to very large reservoirs and the SDP generated rules are more effective for the operation of small reservoirs.     

REAL-TIME SNOW SIMULATION MODEL FOR THE MONONGAHELA RIVER BASIN1

ABSTRACT: The Pittsburgh District, U.S. Army Corps of Engineers, is responsible for operating two multipurpose reservoirs in the 7384 square mile (19198 square kilometer) Monongahela Basin. A third reservoir, presently under construction, will soon be operating. The real-time forecasting of runoff for operational purposes requires simulation of snow accumulation and snowmelt throughout the Basin during the winter season. This article describes capabilities of SNOSIM, a model being developed for performing such simulation. The application of this model as part of a comprehensive system of water control software, and some initial simulation results are presented.     

珠江流域土壤中碳库的存量与通量

通过对珠江流域各主要环境介质中不同形态碳含量的分析和计算,得出该流域0~1.0m范围内土壤碳库的存量为1.36×1013kg,占中国陆地碳库总量的9.51%,全球碳库总量的0.907%;流域净碳输入量为4.141×1010kg/a,碳通量912.74kg/(hm2·a),初步计算表明珠江流域可能是陆地生态系统的一个碳汇区。另一方面,人类活动造成流域内有机碳的大量流失,其中,水土流失损失的碳8.01×109kg/a,植物收割及森林砍伐从土壤-植物系统中携带出的有机碳高达6.26×1011kg/a,这将造成土壤有机质含量的降低,因此促进陆地生态系统有机碳存储是提高本流域土地质量的关键。     

Screening 31 endocrine-disrupting pesticides in water and surface sediment samples from Beijing Guanting reservoir

For screening 31 potential or suspected endocrine-disrupting pesticides in water and surface sediments, a multiresidue analysis method based on gas chromatography with electron capture detection (GC/ECD) was developed. Solid phase extraction (SPE) technology with Oasis^® HLB cartridge was also applied in sample extraction. The relevant mean recoveries were 70–103% and 71–103% for water and sediment, respectively. Relative standard deviations (RSD) are 2.0–7.0%, 4.0–8.0% for water and sediment, respectively. Thirty one pesticides (-HCH, β-HCH, γ-HCH, δ-HCH, hexachlorobenzene (HCB), aldrin, heptachlor, endosulfan I & II, p,p′-DDD, o,p′-DDT, p,p′-DDT, p,p′-DDE, endrin aldehyde, endosulfan sulphate, methoxychlor, hepachlor epoxide, -chlordane, γ-chlordane, dieldrin, endrin, dicofol, acetochlor, alachlor, metolachlor, chlorpyriphos, nitrofen, trifluralin, cypermethrin, fenvalerate, deltamethrin) in water and surface sediment samples from Beijing Guanting reservoir were analyzed. Concentrations of pesticides ranged from 7.59 to 36.0 ng g⁻¹ on a dry wt. basis for sediment samples, from 279.3 to 2740 ng l⁻¹ for pore waters and from 48.8 to 890 ng l⁻¹ for water samples, respectively, with a mean concentration of 10.7 ng g⁻¹ in sediment, 735 ng l⁻¹ in pore water and 295 ng l⁻¹ in water, respectively. The data obtained provides information on the levels and sources of endocrine-disrupting pesticides in Guanting reservoir. These results underscore the need to improved environmental protection measures in order to reduce the exposure of the population and aquatic biota to these endocrine-disrupting compounds.     

生态修复技术在保护水库水源地中的应用

为改善和保证库区水体水质 ,有必要对生态系统受到破坏的水库水源地进行生态修复。结合水库水源地的自然、社会特点 ,提出对保护区内涧河、入库口门、库区等处及水土保持生态修复的设想 ,使水体水质得到净化 ,进而保证水库供水的可持续发展。     

崂山水库的浮游植物群落特征及变化研究

2007年-2011年连续5年,采用生物群落法,对崂山水库浮游植物的群落结构进行了监测分析.结果为：2011年崂山水库共检出浮游植物8门93种,库区优势种为尖针杆藻（S.acus）、小胶鞘藻（P.tenue）、卵形隐藻（Cryptomonas ovata）、尖尾蓝隐藻（Chroomonas acuta）.5年来群落结构相对稳定,浮游植物细胞密度呈上升趋势.库区为B-中污型水体.     

丹江口水库水位抬高面临的挑战及其对策

移民与生态环境问题是丹江口水库水位抬高所面临的主要问题。移民问题是水位抬高首当其冲需要解决的难题,存在政策法规、移民资金、安置措施、脱贫致富等问题,需要以市场为导向,综合考虑诸多因素,制定可行的移民规划,确保移民的稳定和发展。生态环境问题是非常艰巨的问题,水土流失严重、污染源与污染总量日益增加、水质下降、支流库湾富营养化进程加剧等问题将困扰水库的运行与管理,后靠移民的生产生活也在一定程度上对生态环境产生影响;建议成立专门的监管机构,全方位开展水源地保护工作,确保水库水质安全和南水北调中线工程战略目标的实现。     

影响宫山咀水库水体的藻类分布

利用水生藻类评价水体的污染情况是近年来环境监测工作的一个重要组成部分。宫山咀水库水生藻类的监测分析结果表明：水库水体呈现清洁特征，水质状况良好。     

赋权共原点灰色聚类方法在水库富营养化评价中的应用

以灰色理论为基础,提出了赋权共原点灰色聚类方法,并将该方法应用于10个大型水库的富营养化程度评价中,结果表明该方法具有监测数据利用率高、评价结果可靠、实用性强等特点,是一种评价水库富营养化程度的有效方法。     

山仔水库富营养化与水华爆发的水文因素分析

文章通过水质主要指标的时空变化及其与水库流量、水位、水滞留时间等关系,研究水动力条件对山仔水库富营养化的影响。研究表明,由于山仔水库蓄水时清库不彻底,总氮、总磷浓度较高,从1997年开始呈现下降趋势,2001年后又有所回升;水库水滞留时间大于2周的年份,相对年均水位低,水库水华爆发的几率大;水库的进口、支流入口的总磷、COD、藻类数量和叶绿素a相对较高;山仔水库与下游塘坂水库因其水库形态、库容、水力交换能力的差异,藻类数量和叶绿素a含量也存在明显的差异,说明了山仔水库水华的发生与水文因素关系密切。