基于SuperMap的松花江流域地理信息系统

松花江流域地理信息系统利用地理信息系统技术,以组件式GIS-SuperMap为基础,对松花江全流域空间信息进行管理,不仅实现了松花江全流域的污染模拟分析功能,还融合遥感影像、数字高程模型,实现了松花江全流域三维动态模拟功能.松花江流域地理信息系统的开发,对于实现水资源的可持续开发利用和流域的可持续发展具有重要意义.     

非点源污染的流域分配方法研究

农业非点源污染的流域分配研究对于提高环境质量具有重要的现实意义。根据遥感技术得到的土地利用类型、河网、道路、圩区等信息,结合地理信息系统（GIS）的空间分析功能,对非点源污染负荷进行了定量计算及可视化分析,在此基础上,得到各主要河段的污染分配量,这可为寻求流域内合理的土地利用模式和农业非点源污染排放总量的控制方法提供决策依据。     

自贡市旭水河流域土地利用/覆被对非点源污染负荷的影响

水体污染的首要原因之一是面源污染,地表过多的营养物质通过地表径流进入水体从而产生污染。这里应用RS和GIS技术,结合输出系统模型,对贡井区旭水河流域非点源污染负荷进行多时相空间分布模拟。结果表明:贡井区非点源污染负荷TN、TP由于当地土地开发利用的缘故,从2007年到2009年呈逐渐上升趋势;在空间分布上TN、TP分布呈越来越离散趋势。研究表明:不同土地利用类型对非点源污染负荷的贡献率也存在着显著差异。     

基于GIS的海水入侵可视化数值模拟系统

将变密度三维海水入侵模型(SUTRA模型)与地理信息系统(GIS)进行有机集成开发出可视化海水入侵数值模拟系统.该系统充分利用了GIS的空间分析和数据管理功能及其可视化功能,实现了SUTRA模型的可视化构建1、含水层空间和模拟时间的可视化离散、各种参数的可视化赋值、模型的可视化模拟及其模拟结果的可视化表达等功能,为海水入侵研究提供了有效的模拟和分析手段.     

长治市水资源管理信息系统建设

地理信息系统(GIS)是一个开放性的平台,具有高效的数据维护能力和强大的检索查询与分析功能.介绍了GIS技术支持下的水资源管理及其决策支持系统的主要特点、总体构成和主要功能.利用arcview技术开发了长治市的水资源管理信息系统,其中包括信息查询、数据库集成与更新、数值模拟、数据处理和专题制图等关键问题.为该地区水资源...     

SPARROW模型研究及应用进展

SPARROW(SPAtially Referenced Regressions On Watershed attributes)模型是由美国地质调查局开发的一个基于空间的计算流域营养物质污染负荷的非线性回归模型。它使用机理函数和空间分布模块来计算流域的污染负荷,从而弥补了许多经验回归模型的缺陷。基于模型的特性,其在流域污染负荷核算、水质响应模拟、采样点空间优化、流域最大日最大污染负荷计算与水环境管理等方面有较好的应用前景。对SPARROW模型的机理、结构、输入输出变量、应用现状及在我国的应用发展前景和可能的问题进行了全面阐述和讨论,并对SPARROW模型的改进模型—贝叶斯-SPARROW模型进行简要介绍。以期为该模型在中国水环境管理中的应用提供参考。     

大凌河流域水环境污染成因及防控对策

大凌河是辽宁省西部最大的河流,面临着不同程度的水环境污染、水生态功能退化、水资源过度开发等问题,流域内生态环境、经济社会与水资源系统之间逐渐失衡。本文针对大凌河流域存在的河滩湿地侵占、河道淤积、污染物超标排放、水资源过度开采等问题,深入分析流域水环境污染的成因,并业提出实施河道用水优化改造工程、建设工废水处理系统、完善城区面源污染控制设施、加快农村非点源污染治理等防控对策。     

基于污染负荷核算的岷江流域总磷污染成因分析及对策

总磷是长江流域水环境污染的首要超标因子,岷江作为长江上游流量最大的支流,总磷污染严重,对长江总磷污染贡献较大。为了解岷江流域总磷污染,采用排污系数法,计算得到2016年岷江流域污染源总磷入河量为1 154 t,以农村生活污染负荷占比最高(51.3%),其次为城镇生活源(28.7%)、农业非点源(8.24%)、工业源(9.57%)、畜禽养殖源(1.21%),城市径流源(0.99%)最低;在空间上岷江流域总磷污染负荷呈中游(64.2%)>下游(32.6%)>上游(3.1%)的特点,与岷江干流总磷浓度变化趋势相符,其中成都市总磷污染负荷最高(51.2%),与区域人口密度高、生产和生活活动密集有关。结合资料收集和现场调查,岷江流域总磷污染成因主要包括农村生活污染治理缺口较大、城镇生活污染处理基础设施建设不足、工业企业密布、部分支流总磷污染严重、水污染治理导向不全面。针对岷江总磷污染负荷分布特征及成因,提出“上游保护优质水体、中游治理重污染水体、下游恢复不达标水体”的分区污染防治对策,统筹流域监管体制机制,强化岷江流域水环境保护和治理。     

基于改进的DRASTIC模型对香溪河典型岩溶流域地下水脆弱性评价

南方岩溶流域的地表水与地下水转换频繁,地下水环境对人类活动响应敏感,地下水环境脆弱。为探索岩溶流域地下水脆弱性评价的方法,以岩溶流域为评价对象,选取植被覆盖率、地形坡度、土壤类型、地下水水位埋深、地下水补给模数、土地利用类型6个指标,通过改进DRASTIC模型的评价指标体系,建立了基于VTSDRL模型的岩溶流域地下水脆弱性评价指标体系。以香溪河岩溶流域地下水为例,利用层次分析法计算了评价指标权重,基于地理信息系统的叠加分析功能对香溪河岩溶流域地下水脆弱性进行了定量评价。结果表明:香溪河岩溶流域地下水脆弱性以中等脆弱区为主,占比达到86.6%;地下水补给模数和土地利用类型对地下水脆弱性的影响作用最强,地下水脆弱性高的区域主要分布于溶丘洼地区,其面临农业活动污染的风险最大。该研究可为我国南方岩溶流域地下水脆弱性评价和岩溶水资源保护提供参考。     

数字黑河的思考与实践3:模型集成

介绍了"数字黑河"模型集成研究的进展.①流域科学研究中的模型集成由发展流域集成模型和建模环境这2个主题所构成,前者可概括为"水-土-气-生-人"集成模型,后者是支持集成模型的高效开发的软件工具,注重于应用先进的信息技术为建模提供支撑.②将模型集成分为知识途径和技术途径,讨论了建模环境在模型集成中的作用,以及科学模型和流域管理模型的关系.③回顾了黑河流域模型集成的总体目标是发展两种类型的集成模型,其中第一种回应科学目标,是地球系统模型在流域尺度上的具体体现,以建成能够综合反映流域水文-生态-经济相互作用的模型为标志;第二种集成模型回应管理目标,以建成空间显式的流域水资源决策支持系统为目标.④对黑河流域已有的水文、地下水、水资源、陆面过程、土地利用、生态、社会经济与生态经济建模工作做了系统的综述.⑤分析了黑河流域集成模型研究中存在的问题和所面临的挑战.     

Modeling impacts of sediment delivery ratio and land management on adsorbed non-point source nitrogen and phosphorus load in a mountainous basin of the Three Gorges reservoir area, China

Agricultural nonpoint source (NPS) pollution at the Three Gorges reservoir area in China has been increasingly recognized as a threat to aquatic environment in recent years due to the serious eutrophication problem. Adsorbed NPS pollution is one of the major forms of NPS pollution in mountainous regions, the essential of the adsorbed NPS pollution is soil loss. Thus, simple, highly sensitive and continuous methods are required to simulate and quantify sediments yield at watershed scales. It is imperative to construct an integrated model to estimate the sediment yield and adsorbed NPS pollution load. According to the characteristics of climate, hydrology, topography, geology, geomorphology and land use types in Three Gorges reservoir area, a GIS-based dynamic-integrated-distributed model of annual adsorbed NPS load was presented in view of impacts of the rainfall intensity, sediment delivery ratio (SDR) and land management, where the temporally dynamic-continuous model of annual sediment yield was established by modifying the revised Universal Soil Loss Equation (RUSLE), and the spatially integrated-distributed model of annual adsorbed NPS load was then developed via the correlation between sediment yield and adsorbed NPS load. Furthermore, a case study of the Jialing River basin in China was applied to validate the integrated model, the dynamic-distributed coupling among GIS technology, sediment yield model, and adsorbed NPS load model was achieved successfully. The simulation results demonstrate the following: (1) runoff and sediment are influenced greatly by rainfall intensity, SDR and vegetation cover; rainfall and land management show high sensitivities to the integrated model; the average annual adsorbed TN and TP pollution loads from 2006 to 2010 decreased by 76 and 74 % compared with the previous treatment (1990), respectively. (2) Spatio-temporal variations of adsorbed NPS nitrogen and phosphorus load are mainly related to different land use types and the background level of nutriments in topsoil; different land use types have different contribution rates; the largest contribution rates of adsorbed total nitrogen (TN, 58.9 %) and total phosphorus (TP, 53 %) loads are both from the dryland cropland. (3) The identification of critical source areas can help to implement the prevention and control measures aiming at the reduction of water environmental pollution. These results will provide useful and valuable information for decision makers and planners to take sustainable land use management and soil conservation measures for the control of sediment pollution in the Three Gorges reservoir area. The application of this model in the catchment shows that the integrated model may be used as a major tool to assess sediment yield risks and adsorbed NPS pollution load at mountainous watersheds.     

重庆市自然灾害管理综合信息系统研究

从重庆市自然灾害情况及其信息管理现状分析入手,构建了重庆市自然灾害管理信息系统目标、整体设计和界面开发。重庆市自然灾害管理信息系统主要由4个模块组成：自然灾害数据库模块、远程通信管理模块、应用分析模型库模块及决策支持模块,它们通过一定的数据接口连结,在GIS平台上成为一体化系统,对重庆市自然灾害进行有效地管理和监测,从而减少自然灾害带来的经济损失。     

FRFI model application in groundwater non-point source pollution evaluation: a case study in the Luoyang Basin of North Henan province, China

The traditional non-point source (NPS) pollution models mainly focus on the flow path of NPS pollutants and attenuation during the flow. Extensive data set preparation and complex results analysis for these models are the most common problems encountered by the model user. In this study a new model, fuzzy-rough sets and fuzzy inference (FRFI), was introduced to evaluate groundwater NPS pollution. The proposed model involves two steps: the algorithm of fuzzy-rough sets attribute reduction (FRSAR) was applied to yield minimal decision rules from the fuzzy information system (FIS); the fuzzy inference technique was then used to forecast a groundwater synthesis pollution index based on the minimal decision rules. This model was applied in the Luoyang Basin, examining NPS pollution factors and hydrochemical variables data to validate the effectiveness of this model. The results indicate that it is only required to collect five NPS pollution factors or three hydrochemical variables; the groundwater synthesis pollution index can be predicted using the FRFI model. The prediction error is restricted to 2.9–6.1 % and 0.8–1.6 %, respectively. Therefore, the costs of computation and monitoring can be decreased, and the user is not required to prepare massive model parameters for the FRFI model. According to analyze the correlation between NPS pollution factors and hydrochemical variables, prevention measures are provided for treatment of the endemic disease and eutrophication. The FRFI model can be suitable for groundwater NPS pollution evaluation systems.     

Impacts of Coastal Development on the Ecology of Tidal Creek Ecosystems of the US Southeast Including Consequences to Humans

Upland areas of southeastern United States tidal creek watersheds are popular locations for development, and they form part of the estuarine ecosystem characterized by high economic and ecological value. The primary objective of this work was to define the relationships between coastal development, with its concomitant land use changes and associated increases in nonpoint source pollution loading, and the ecological condition of tidal creek ecosystems including related consequences to human populations and coastal communities. Nineteen tidal creek systems, located along the southeastern US coast from southern North Carolina to southern Georgia, were sampled in the summer, 2005 and 2006. Within each system, creeks were divided into two primary segments based upon tidal zoning—intertidal (i.e., shallow, narrow headwater sections) and subtidal (i.e., deeper and wider sections)—and then watersheds were delineated for each segment. Relationships between coastal development, concomitant land use changes, nonpoint source pollution loading, the ecological condition of tidal creek ecosystems, and the potential impacts to human populations and coastal communities were evaluated. In particular, relationships were identified between the amount of impervious cover (indicator of coastal development) and a range of exposure and response measures including increased chemical contamination of the sediments, increased pathogens in the water, increased nitrate/nitrite levels, increased salinity range, decreased biological productivity of the macrobenthos, alterations to the food web, increased flooding potential, and increased human risk of exposure to pathogens and harmful chemicals. The integrity of tidal creeks, particularly the headwaters or intertidally dominated sections, was impaired by increases in nonpoint source pollution associated with sprawling urbanization (i.e., increases in impervious cover). This finding suggests that these habitats are valuable early warning sentinels of ensuing ecological impacts and potential public health and flooding risk from sprawling coastal development. The results also validate the use of a conceptual model with impervious cover thresholds for tidal creek systems in the southeast region.     

中国非点源污染负荷计算研究现状与存在问题

非点源污染负荷计算对水污染总量控制具有重要意义,为分析中国非点源污染负荷计算研究的现状与问题,在系统调研相关文献的基础上,将中国常用的非点源污染负荷计算方法总结为三大类:输出系数模型、实证模型和机理模型,阐述了各种模型的特点及其在中国的研究和应用情况;从非点源污染的界定、产污量和排污量的区别、国内和国外非点源污染产生环境的差异以及平原河网地区非点源污染负荷的计算4个方面分析了中国非点源污染负荷计算研究存在的主要问题;认为模型和计算方法适应研究区的环境特征是研究工作取得成功的关键,今后要加强实证研究、理论研究与模型开发的结合,逐步建立适应中国环境特点的非点源污染负荷计算方法体系。     

地下水污染调查样品测试质量远程实时监控管理系统开发

全国地下水污染调查评价工作已全面启动,地下水污染调查评价样品分析质量控制是关键。文章通过对样品分析质量控制需求的分析,开发运行于互联网的地下水污染调查样品测试质量远程实时监控管理系统软件,针对地下水污染测试技术研究中样品测试的质量进行实时评价、实时监控和实时统计,了解实验室的分析测试能力,及时发现和纠正测试工作中存在的问题,从而保障地下水污染调查评价工作的顺利实施。     

一维水质模型结合改进的输出系数法在流域非点源污染负荷估算中的应用

非点源污染是导致流域水体水质恶化的关键污染来源之一,为了估算流域非点源污染负荷,本文提出将一维水质模型应用于分离监测断面点源污染负荷和非点源污染负荷的方法,并结合了改进的输出系数法,以COD_Mn和NH₃-N为代表性指标,将该模型应用于潮河下游流域,并与传统的水文分割法结合改进的输出系数法估算非点源污染负荷的结果进行对比。结果表明,一维水质模型结合改进的输出系数法估算流域非点源COD_Mn和NH₃-N污染负荷模拟值的纳什系数均在0.800以上,具有良好的模拟精度,同时避免了水文分割法无法较好地模拟枯水期非点源污染负荷的弊端。该方法在运用SWAT（soil and water assessment tool）模型预测得到水文数据的情况下,能够预测流域非点源污染负荷,作为SWAT模型对COD模拟的补充。     

基于GIS构建的西安市地下水污染防治方法研究

以西安市地下水污染防治GIS系统的构建设想为例,根据GIS软件平台的要求采用基于转换器的数据融合,将所搜集到的不同格式的空间数据通过统一的交换格式转换成为GIS软件平台所能识别的格式,并将所有空间和属性数据导入到统一的关系数据库中,以实现数据库对水文地质空间和属性基础数据的统一管理和调用.通过将GIS控件与其它非GIS...     

鄂东南铁山地区土壤-植物系统中重金属元素分布及富集特征

采用原子荧光光谱法和等离子体质谱法(ICP-MS)对鄂东南铁山地区主要河流流经区土壤、植物中重金属元素质量分数及其富集特征的研究表明,研究区西港河流域下游局部地段形成Cu、Zn、Ni、Cd、As重金属元素的土壤污染,东港河流域下游局部地段形成Cd、Cu、As、Pb、Zn重金属元素的土壤污染,植物中已经形成Cd、Zn元素的超量富集.其中土壤中重金属元素的富集主要与冶炼厂废水和尾矿坝渗漏水有关,而植物中重金属元素的富集则受土壤中重金属元素质量分数和植物吸收性能的双重控制.     

井孔综合成果表自动制作系统

简要介绍了井孔综合成果表自动制作系统－ＷＧＳ的总体设计情况,阐述了ＷＧＳ的结构、功能与特色,并给出了该系统在南通市井孔资料卡片管理上的一个应用实例。该系统采用矢量汉字技术,支持ＤＸＦ和ＰＬＴ两种图形文件存贮格式,支持多种类型打印机,并具有自动选择绘图比例、容错能力强,对硬件和软件要求低等优良性能,是一个专业性、实用性较强的绘图软件。