湖泊水污染治理的流域生态保护对策分析

对太源、滇池、巢湖水质富营养化和流域经济结构，污染源分布。生态状况作了工介绍“三湖”流域生态保护的进展及制定“九五”行动计划等举措，高度评价了生态保护工作的重要性。     

长江经济带水质目标管理平台总体设计

为强化长江经济带资源整合与共享,集成统一规范的大数据平台,基于“十一五”“十二五”国家水体污染控制与治理科技重大专项数据和模型库资源,以面向服务的架构(SOA)和模块化设计为支撑,遵循“五横两纵四统一”的平台架构设计思路,应用大数据挖掘、云计算等现代信息技术,构建长江经济带水质目标管理平台.平台基于长江经济带水生态环境功能分区,兼顾不同类别水质目标管理技术的协调性、衔接性和适应性,对水质目标管理相关信息进行跟踪、模拟、分析和三维可视化表达,在水生态环境功能分区管理、数据汇交与信息共享、容量总量管理、风险评估与预警等方面实现业务化运行,实现全景式水质达标形势研判、一体化风险联防联控.平台已在国家长江生态环境保护修复联合研究中心进行业务化运行,将有效提升长江经济带水环境综合管理能力,同时可为其他重要流域水质目标管理提供信息化工作参考.      

黄土地层构造差异成因及其对自然环境的影响

陕甘宁地块上广泛分布的黄土地层的破坏是黄河水患的主要原因,黄土地层有一定的抗侵蚀能力,但当被开垦时,其抗侵蚀能力会大幅降低,在陕甘宁黄土地层分布区减少,以至最终基本停止农耕而瞠步代之以林草,确系治黄的根本方略,陕北是黄土高原水土流失最严重的地区,是黄河泥沙最主要的来源地,但区内黄土地层受侵蚀的状况却具有分带性,北东和北西两组基底断裂构造对其有重要影响,并对毛乌素沙漠的位置以及无定河环形构造的活动状况有一定控制作用,这些都是在陕北开展山川秀美工程过程中必须考虑到的因素,由此得到启迪;在开发自然资源,环境保护和减灾工作中,必须首先认识环境的自然属性。     

改进的BP算法在黄河下游枯季径流预测中的应用

本在黄河下游地区应用多层前向人工神经网络理论,通过改进BP算法,建立下游枯季径流预测的BP神经网络模型,使用花园口-利津水站26年的完整序列测流资料训练和检验网络并用于预测,结果表明,通过本次研究建立的BP网络模型是合理的,可靠的,它较好地反映了黄河下游的枯季径流规律,可为今后黄河流域水资源的统一调度,管理,尤其是预防黄河下游再次出现断流提供科学依据。     

石羊河流域生态脆弱性评价研究

综合分析自然条件和人类活动对区域生态系统的两方面影响,建立了生态脆弱性评价指标体系,运用层次分析法和综合指数法计算了石羊河流域9县（区）的生态脆弱度分值。根据计算结果,将石羊河流域划分为4级生态脆弱区,分别为极强度脆弱区、强度脆弱区、中度脆弱区和轻度脆弱区。在此基础上,对各脆弱区提出生态治理对策,为今后流域开展生态经济功能区划提供依据。     

长江入海口北支沿海滩涂养殖区底泥重金属污染特征及趋势评价

对长江入海口北支沿海滩涂养殖区底泥重金属污染的总体水平进行调查,结果表明,滩涂养殖区底泥重金属含量满足海洋沉积物质量一类标准要求,污染程度属于安全Ⅰ级水平,重金属潜在生态危害属轻微级别,6种重金属潜在生态危害由大到小排序依次为Cd﹥Hg﹥Cu﹥Cr﹥Pb﹥As,2005年～2011年,底泥重金属污染程度均处于安全的Ⅰ级水平。     

实验室率定法测算长江南通段污染物降解系数

污染物降解系数是确定水环境容量的关键参数之一,本文采用实验室率定法,采集长江南通段的水样,分别于6℃、10℃、16℃、20℃室温下,在实验室内进行周期为20天的室内水质分析,根据室内水质分析结果,测算出不同温度下长江南通段"十二五"减排的约束性指标化学需氧量、氨氮的降解系数,并定性分析了长江水体中污染物本底浓度、可生化性、pH值等环境因子对污染物降解系数可能发生的影响。     

天堂河河道治理工程水质改善预测分析

河道治理工程重在改善河道的水质,以恢复河流生态系统。本文以北京市大兴区天堂河河道治理工程为例,介绍了河道治理工程环境影响评价中的水质改善预测分析,首先分析生态需水量和供氧量是否满足河流生态需水要求,后又利用地面水环评助手软件预测了河流水质,预测分析了天堂河水质目标的可达性,旨在为以后的河道治理类工程环境影响评价提供参考。     

Impacts of Climate Change on Hydrology and Water Resources in the Boise and Spokane River Basins1

Jin, Xin and Venkataramana Sridhar, 2012. Impacts of Climate Change on Hydrology and Water Resources in the Boise and Spokane River Basins. Journal of the American Water Resources Association (JAWRA) 48(2): 197‐220. DOI: 10.1111/j.1752‐1688.2011.00605.x Abstract: In the Pacific Northwest, warming climate has resulted in a lengthened growing season, declining snowpack, and earlier timing of spring runoff. This study characterizes the impact of climate change in two basins in Idaho, the Spokane River and the Boise River basins. We simulated the basin‐scale hydrology by coupling the downscaled precipitation and temperature outputs from a suite of global climate models and the Soil and Water Assessment Tool (SWAT), between 2010 and 2060 and assess the impacts of climate change on water resources in the region. For the Boise River basin, changes in precipitation ranged from ?3.8 to 36%. Changes in temperature were expected to be between 0.02 and 3.9°C. In the Spokane River region, changes in precipitation were expected to be between ?6.7 and 17.9%. Changes in temperature appeared between 0.1 and 3.5°C over a period of the next five decades between 2010 and 2060. Without bias‐correcting the simulated streamflow, in the Boise River basin, change in peak flows (March through June) was projected to range from ?58 to +106 m³/s and, for the Spokane River basin, the range was expected to be from ?198 to +88 m³/s. Both the basins exhibited substantial variability in precipitation, evapotranspiration, and recharge estimates, and this knowledge of possible hydrologic impacts at the watershed scale can help the stakeholders with possible options in their decision‐making process.     

Reconstructions of Soil Moisture for the Upper Colorado River Basin Using Tree‐Ring Chronologies1

Anderson, SallyRose, Glenn Tootle, and Henri Grissino‐Mayer, 2012. Reconstructions of Soil Moisture for the Upper Colorado River Basin Using Tree‐Ring Chronologies. Journal of the American Water Resources Association (JAWRA) 48(4): 849‐858. DOI: 10.1111/j.1752‐1688.2012.00651.x Abstract: Soil moisture is an important factor in the global hydrologic cycle, but existing reconstructions of historic soil moisture are limited. We used tree‐ring chronologies to reconstruct annual soil moisture in the Upper Colorado River Basin (UCRB). Gridded soil moisture data were spatially regionalized using principal components analysis and k‐nearest neighbor techniques. We correlated moisture sensitive tree‐ring chronologies in and adjacent to the UCRB with regional soil moisture and tested the relationships for temporal stability. Chronologies that were positively correlated and stable for the calibration period were retained. We used stepwise linear regression to identify the best predictor combinations for each soil moisture region. The regressions explained 42‐78% of the variability in soil moisture data. We performed reconstructions for individual soil moisture grid cells to enhance understanding of the disparity in reconstructive skill across the regions. Reconstructions that used chronologies based on ponderosa pines (Pinus ponderosa) and pinyon pines (Pinus edulis) explained more variance in the datasets. Reconstructed soil moisture data was standardized and compared with standardized reconstructed streamflow and snow water equivalent data from the same region. Soil moisture and other hydrologic variables were highly correlated, indicating reconstructions of soil moisture in the UCRB using tree‐ring chronologies successfully represent hydrologic trends.