多源信息融合技术在内陆湖库水华预警中的研究进展与展望

面对水体富营养化愈来愈严重,水华爆发越来越频繁的严峻形式;为减少水华发生频率及由此造成的损失,开展水华预警已成当务之急。水华爆发是水体中营养盐的累积、气候条件与水力条件等众多因素非线性共同作用的产物;为此,有必要在众多水华影响因素的动态监测信息的融合基础上,寻求水华爆发与这些影响因素间的影射关系,这就需要信息融合技术。通过归纳总结多源信息融合技术在内陆湖库水华预警中应用的研究进展,结合目前我国水华预警的具体需求,提出建立基于多源信息融合技术的水华预警决策支持系统的研究前景与初步设想。信息融合技术为水华预警提供了一个良好的平台,它将与水华相关的不同信息源（水文、气象、水环境质量与环境遥感）所提供的局部不完整的观测信息加以集成与互补,消除多源信息之间存在的冗余和矛盾,形成对水华爆发环境相对完整的感知与描述;从而提高水华预警与应急响应决策的效率,提高预警信息的时间与空间分辨率,扩展信息的时空监测范围。     

汉江堵河流域地表水质时空变化特征

对汉江堵河流域9个点位为期1年的地表水水质理化特性进行时空特征分析,应用〖WTBX〗t〖WTBZ〗检验进行水质季节性变化分析,聚类分析进行空间相似性分析以确定空间尺度的分类情况,判别分析识别显著性指标,并以此反映上述空间聚类分析结果的差异性。结果表明:①Cl-、总溶解性固体（TDS）及浊度（Turbidity） 3项指标没有表现出显著的时间差异性;②温度、pH、NO-3、TP表现为丰水季显著大于枯水季,而SO2-4、HCO-3、NH+4、 DO则表现出相反的变化趋势,即枯水季显著大于丰水季;③空间聚类分析将采样点分为4类;④判别分析体现出良好的指标降维能力,仅需4个指标（NO-3、TDS、SO2-4、HCO-3）即可反映整体水质的空间差异性。     

国外流域管理的成功经验对雅砻江流域管理的启示

世界各国对流域管理的不断探索,大大丰富了流域管理的理论和实践,流域管理已成为国家和地区水资源管理的一种行之有效的模式。我国的流域管理尚处于最初的探索阶段,如何借鉴国外流域管理的成功经验,形成有效的流域管理模式已成为我国水资源管理的主要任务之一。为了给国内流域管理实践提供一些有益的借鉴,分析总结了具有代表性的美国田纳西河流域管理模式、澳大利亚墨累 达令河流域管理模式和英国泰晤士河流域管理模式的成功经验和存在的问题。以雅砻江流域水电开发为实例,在对该流域的实际情况进行全面分析的基础上,将该流域与上述三条流域进行比较,充分借鉴三条流域管理模式成功经验,提出了雅砻江流域管理的相关对策和建议。     

Temporal and spatial patterns of micropollutants in urban receiving waters

Based on a monitoring program over the course of a year, we characterize the temporal and spatial distribution of selected micropollutants in an urban watershed within the city of Leipzig, Germany. Micropollutants revealed a ubiquitous presence in untreated and treated wastewater, surface water and groundwater. The loads of 4-nonylphenol in the effluents of the municipal wastewater treatment plant followed a seasonal trend, whereas the loads of all other micropollutants were highly variable and not correlated to seasons. In the surface water, load seasonality of caffeine, galaxolide and tonalide resulted from a rapid removal with increased water temperature. The loads of 4-nonylphenol and of caffeine in the colder months increased when rainfall occurred. In the groundwater, complex spatial and temporal patterns were apparent and were related to varying input, retardation and removal processes. As a consequence, an assessment of micropollutants in urban waters should consider different micropollutants' temporal and spatial variability.     

浅谈新疆风电场水土保持措施配置——以新疆华电小草湖风电场二场一期工程为例

风能作为一种清洁无污染的可再生能源,已经被广泛运用到电力事业的发展中来。近年来,新疆的风力发电发展迅速,风电场建设过程中不可避免地会对土壤及植被造成一定的破坏,人为地加剧了水土流失。概述了风电项目水土流失特点,以新疆华电小草湖风电场工程为例,结合项目区具体特点,分区设置防治措施。通过工程措施、植物措施与临时措施的有机结合,有效地防止水土流失。     

张家口市中心城区饮用水安全的探讨

饮用水与人民群众的生活与健康休戚相关,因此保护饮用水水源地尤其重要。张家口市中心城区的饮用水水源地为地下水水源地,市区共有南北五个集中式供水水源地。近年来,由于农业污染、生活污染、个别企业超标排污以及上游来水不达标等原因,水源地水质下降。本文主要从5个水源地的水质、水量现状出发,探讨了影响水源地安全的因素,并提出相应的水源地保护措施：切实落实《饮用水水源地保护规划》、加强监管和立法以及提高公民环境意识。     

北京市开展区域水环境合作探究

通过分析北京市地表水资源、水环境质量现状及存在的问题,得出生态环境用水严重短缺是制约北京市水环境质量全面改善的根本原因,并对此提出全面加强区域水环境合作、改善北京市水环境的基本思路,及与周边地区开展水环境合作的途径及建议。     

河北省地表水环境污染特征及分析

河北省1998年-2005年的水环境质量监测数据分析表明：河北省地表水污染恶化趋势基本得到遏制,但部分地区水污染矛盾仍很突出;水体总体污染减轻,但氨氮污染有加重趋势;主要湖（库）水水质稳定,但普遍呈不同程度的富营养化。在此基础上,分析了地表水污染的原因,并提出了河北省改善地表水环境污染的对策与措施。     

Sensitivity and Uncertainty of Ground‐Water Discharge Estimates for Semiarid Shrublands1

Abstract: We proposed a step‐by‐step approach to quantify the sensitivity of ground‐water discharge by evapotranspiration (ET) to three categories of independent input variables. To illustrate the approach, we adopt a basic ground‐water discharge estimation model, in which the volume of ground water lost to ET was computed as the product of the ground‐water discharge rate and the associated area. The ground‐water discharge rate was assumed to equal the ET rate minus local precipitation. The objective of this study is to outline a step‐by‐step procedure to quantify the contributions from individual independent variable uncertainties to the uncertainty of total ground‐water discharge estimates; the independent variables include ET rates of individual ET units, areas associated with the ET units, and precipitation in each subbasin. The specific goal is to guide future characterization efforts by better targeting data collection for those variables most responsible for uncertainty in ground‐water discharge estimates. The influential independent variables to be included in the sensitivity analysis are first selected based on the physical characteristics and model structure. Both regression coefficients and standardized regression coefficients for the selected independent variables are calculated using the results from sampling‐based Monte Carlo simulations. Results illustrate that, while as many as 630 independent variables potentially contribute to the calculation of the total annual ground‐water discharge for the case study area, a selection of seven independent variables could be used to develop an accurate regression model, accounting for more than 96% of the total variance in ground‐water discharge. Results indicate that the variability of ET rate for moderately dense desert shrubland contributes to about 75% of the variance in the total ground‐water discharge estimates. These results point to a need to better quantify ET rates for moderately dense shrubland to reduce overall uncertainty in estimates of ground‐water discharge. While the approach proposed here uses a basic ground‐water discharge model taken from an earlier study, the procedure of quantifying uncertainty and sensitivity can be generalized to handle other types of environmental models involving large numbers of independent variables.