钱塘江突发水污染事故应急系统开发与应用

采用网络信息平台和水环境模型相结合的技术手段,构建了钱塘江突发水污染事故应急系统。该系统旨在帮助应急管理部门快速应对钱塘江流域突发性水污染事故,以及保障G20峰会期间钱塘江流域的饮用水源地安全。该系统以水动力模型、溢油和化学品泄漏模型为核心,采用空间关系型中央数据库作为数据管理系统,基于网络GIS技术开发而成。通过对钱塘江流域历史事故的反演,验证了该系统的准确度和可靠性。在该系统的基础上,构建了钱塘江流域典型流场库和典型突发水污染事故情景库,以实现快速应对G20峰会期间钱塘江流域突发水污染事故风险。     

基于SOA的三峡库区水环境安全预警平台集成

从三峡库区水环境安全预警平台背景作用与意义,提出基于SOA的B/S与C/S相结合的技术架构设计及数据库层、组件服务层和集成应用层3层架构体系,探索GIS多源数据标准、GIS与模型库以及基于WebService接口的应用服务的平台集成技术实现;指出研究成果在水环境管理应用中不断完善。     

基于水质目标的流域排放管控模式与案例研究

改善流域水质是目前我国生态环境治理的重要议题,然而我国目前的流域水污染排放管控体系和手段还存在诸多不足,在流域尺度还未形成一套系统性的水污染管控体系。本研究提出了一种基于水环境质量目标的流域排放管控体系,构建了三种具有一定普适性的排放管控模式,并以成都江安河流域为案例开展实证研究,对比了三种模式在固定源排放管控方面的差异性和适用性。结果表明,本研究提出的管控模式能很好地实现水质达标目的,并能够不同程度地提高不同时段水环境容量的利用率。在相同的边界条件下,流域标准管控模式的方案和流域精细管控模式的方案对于固定源的逐月允许排放量分别为流域简化管控模式的1.3~1.6倍和1.5~2.0倍。     

GIS在水污染控制中的研究与探讨

地理信息系统(GIS)是专门用于地理空间信息处理和管理的计算机技术系统，造成城市水污染的污染源及其相关数据均具有空间分布特性，这决定了GIS可在该领域发挥重要作用。GIS能支持与水环境有关的地理空间数据的获取、管理、分析、模拟和显示，以解决复杂的水环境综合治理问题和水污染控制问题；同时，建立完善的空间数据库和属性数据库，为环境保护部门和科研部门提供研究与决策支持。本文就GIS在水污染控制这一领域的应用做一定探讨。     

农业非点源污染研究进展和趋势

根据国内外农业非点源污染研究现状,本文在探讨农业非点源污染内涵及其特征的基础上,简要总结了农业非点源污染负荷的估算模型,列举区域农业非点源污染风险评估的手段和方法,从不同角度归纳了农业非点源污染的控制技术,并提出了近期农业非点源污染急需研究的热点和趋势,以期为进一步的农业非点源污染管理和控制提供参考。     

基于多源数据AnnAGNPS西枝江流域的污染模拟研究

以西枝江流域为研究对象，结合GIS技术，建立了AnnAGNPS模型数据库，对流域内非点源污染主要影响因素的特征以及非点源污染的时空分布特征进行了分析。结果表明：流域内降雨侵蚀力、径流深、土壤侵蚀和沉积负荷的年际问变化很大，降雨侵蚀力月问分布极不均匀，季节变化十分明显，后三者的变化趋势都与平均降水量表现出较好的对应关系，但是又并不完全一致；流域内的径流深空间分布极不均匀，而土壤侵蚀、沉积负荷空间变化相对不是十分明显，三者都有沿河道向两边逐渐递减的趋势，在人口密集地区及河塘密集地区，径流相对其他区域比较大。本文为西枝江流域的非点源污染模拟研究提供了基础数据平台，也为该模型在整个东江流域的合理应用奠定了科学基础。     

流域非点源污染关键影响因素识别分析

了解和掌握影响流域非点源污染的关键因素及影响途径,是科学识别和估算非点源污染负荷,合理制定和实施流域非点源污染控制措施的基础。非点源污染主要来源于流域内土壤中富集的氮、磷物质或者地表残留物,上述污染源产生过程主要与流域地质地貌(地形)、水文、气候、土壤、土地利用、农田管理及其它人类活动等密切相关。为此,就水文水资源特征、气候因素中的降雨与温度、土壤主要物理和化学性质、地表覆被类型及覆盖度、土地利用及分布格局、农田管理制度及人类活动因素等对流域非点源污染的关键因素及水环境影响进行了较为深入的识别和分析,明晰了各类因素的影响途径和过程机制。     

基于GIS的农业非点源污染负荷时空分异研究——以宁波市章溪河流域为例

应用基于CIS AreView的AnnAGNPS模型，进行了宁波市章溪河流域的非点源污染负荷的时空分异研究。结合航片解译，利用ArcGIS9．0、TOPAZ模块等建立了研究区非点源污染空间数据库；结合现场资料、相关文献收集，并利用模型参数的CIS提取技术，建立了研究区非点源污染属性数据库。结果表明：在空间分布上，各子流域吸附态氮空间分异较大，溶解态磷的空间分异最小，不同土地利用类型中林地和果园相比农田非点源污染负荷小，不同土壤类型中，水稻土比黄壤和红壤的污染负荷大；在时间分布上，非点源污染负荷主要集中在汛期，超过全年的55％，枯水期低于全年的4％。     

湖泊蓝藻水华数字化预警系统构建探讨

构造湖泊蓝藻水华数字化预警系统是我国湖泊水环境管理的一个重要方向。本文探讨了构建湖泊蓝藻水华数字化预警系统的若干技术问题，包括：（1）数字化预警数学模式。提出需重视流域尺度的氮磷营养物和沉积动态输入以及营养物、沉积物对水生态结构动力过程的影响，建立非点源模型和湖泊生态结构动力学模型相耦合的预警数学模型模式；在此基础上提出了各种数学模型的可借鉴模式。（2）湖泊蓝藻水华预警监测技术。总结了常规水质监测的数据筛选方法，探讨了遥感技术和实时传输监测技术在水质监测中的应用模式，提出了实时监测和遥感监测需解决的技术难题和实现方法。（3）湖泊蓝藻数字化预警系统的设计。提出了数学模型系统、水质监控系统的网络化集成设计模式，提出了基于网络化地理信息系统的计算机应用软件实现模式。     

面向管理决策的标准化流域水环境模型评估验证技术框架研究

不规范的流域水环境模型应用增加了决策风险。从过程管理的角度来看,我国尚未针对流域水环境模型的评估与验证建立标准化的技术流程,模型标准化应用水平较低。在总结已有研究成果以及先进管理经验的基础上,本文构建了标准化的流域水环境模型评估验证技术框架,提出了对应用于流域水环境管理决策的模型开展评估验证的基本原则、工作流程和技术要求,并通过案例研究验证了技术框架的可行性。技术框架引入了结构合理性评估、参数识别与灵敏度分析、模拟效果评估、不确定性分析等模型评估验证的关键技术,结合不同的模型类型、决策功能等特征给出了原则性的技术要求和应用建议。研究成果充分考虑了我国的环境管理需求,与现阶段环境模拟技术要求、环境监测能力和数据条件相适应,在理论探讨和技术实现层面具备明确的可行性,将促进我国流域水环境模型的规范化、标准化和本地化应用。     

AN INTERACTWE MODELING ENVIRONMENT FOR NON-POINT SOURCE POLLUTION CONTROL1

ABSTRACT: Non-point source pollution cuntinues to be an important environmental and water quality management problem. For the moat part, analysis of non-point source pollution in watersheds has depended on the use of distributed models to identify potential problem areas and to assess the effectiveness of alternative management practices. To effectively use these models for watershed water quality management, users depend on integrated geographic information systems (GIS)-based interfaces for input/output data management. However, existing interfaces are ad-hoc and the utility of GIS is limited to organization of input data and display of output data. A highly interactive water quality modeling interface that utilizes the functional components and analytical capability of GIS is highly desirable. This paper describes the tight coupling of the Agricultural Non-point Source (AGNPS) water quality model and ARC/INFO GIS software to provide an interactive hybrid modeling environment for evaluation of non-point source pollution in a watershed. The modeling environment is designed to generate AGNPS input parameters from user-specified GIS coverages, create AGNPS input data files, control AGNPS model simulations, and extract and organize AGNPS model output data for display. An example application involving the estimation of pesticide loading in a southern Iowa agricultural watershed demonstrates the capability of the modeling environment. Compared with traditional methods of watershed water quality modeling using the AGNPS model or other ad-hoc interfaces between a distributed model and GIS, the interactive modeling environment system is efficient and significantly reduces the task of watershed analysis using tightly coupled GIS databases and distributed models.     

Modeling Agricultural Nonpoint Source Pollution Using a Geographic Information System Approach

Agricultural non-point source (NPS) pollution, primarily sediment and nutrients, is the leading source of water-quality impacts to surface waters in North America. The overall goal of this study was to develop geographic information system (GIS) protocols to facilitate the spatial and temporal modeling of changes in soils, hydrology, and land-cover change at the watershed scale. In the first part of this article, we describe the use of GIS to spatially integrate watershed scale data on soil erodibility, land use, and runoff for the assessment of potential source areas within an intensively agricultural watershed. The agricultural non-point source pollution (AGNPS) model was used in the Muddy Creek, Ontario, watershed to evaluate the effectiveness of management strategies in decreasing sediment and nutrient [phosphorus (P)] pollution. This analysis was accompanied by the measurement of water-quality parameters (dissolved oxygen, pH, hardness, alkalinity, and turbidity) as well as sediment and P loadings to the creek. Practices aimed at increasing year-round soil cover would be most effective in decreasing sediment and P losses in this watershed. In the second part of this article, we describe a method for characterizing land-cover change in a dynamic urban fringe watershed. The GIS method we developed for the Blackberry Creek, Illinois, watershed will allow us to better account for temporal changes in land use, specifically corn and soybean cover, on an annual basis and to improve on the modeling of watershed processes shown for the Muddy Creek watershed. Our model can be used at different levels of planning with minimal data preprocessing, easily accessible data, and adjustable output scales.     

SWAT模型在茫溪河流域非点源污染研究中的应用

本研究采用美国农业部农业研究所开发的SWAT模型(Soil and Water Assessment Tool)对茫溪河流域非点源污染进行了模拟研究,构建了适用于茫溪河流域的非点源污染模型,对流域的非点源污染进行了模拟和分析。模拟结果显示:茫溪河流域污染特征以非点源污染为主;东茫溪河水系的泥沙、氮、磷等负荷均大于西茫溪河水系;单位泥沙负荷最大的区域为流域东北部、东部和东南部一带的深丘地区,是茫溪河流域的主要泥沙输出区;氮、磷负荷最大的区域为茫溪河中下游一带的平坝、浅丘地区,是茫溪河流域的主要氮、磷输出区;研究区内泥沙、营养物质的输出具有很强的时间规律,有机氮、有机磷的输出在雨季(6月~9月)会出现高峰,因此雨季是流域内非点源污染源输出的重点时段。     

IDENTIFICATION OF CRITICAL NONPOINT POLLUTION SOURCE AREAS USING GEOGRAPHIC INFORMATION SYSTEMS AND WATER QUALITY MODELING1

n integrated approach coupling water quality computer simulation modeling with a geographic information system (GIS) was used to delineate critical areas of nonpoint source (NPS) pollution at the watershed level. Two simplified pollutant export models were integrated with the Virginia Geographic Information System (VirGIS) to estimate soil erosion, sediment yield, and phosphorus (P) loading from the Nomini Creek watershed located in Westmoreland County, Virginia. On the basis of selected criteria for soil erosion rate, sediment yield, and P loading, model outputs were used to identily watershed areas which exhibit three categories (low, medium, high) of non-point source pollution potentials. The percentage of the watershed area in each category, and the land area with critical pollution problems were also identified. For the 1505-ha Nomini Creek watershed, about 15, 16, and 21 percent of the watershed area were delineated as sources of critical soil erosion, sediment, and phosphorus pollution problems, respectively. In general, the study demonstrated the usefulness of integrating GIS with simulation modeling for nonpoint source pollution control and planning. Such techniques can facilitate making priorities and targeting nonpoint source pollution control programs.     

我国农业非点源污染成因及解决对策

农业非点源污染目前已成为全球水污染的主要来源。对我国农业非点源污染成因的分析表明:农药、化肥的大量使用,不同灌溉方式、生产生活废弃物和规模化畜禽养殖等与农业非点源污染的形成之间均有密切的关系,应从农田径流控制、小流域综合治理、发展生态农业等方面开展农业非点源污染防治。实施农田养分最佳管理技术、开发农业非点源污染管理应用软件、完善农业生态补偿机制将成为我国农业非点源污染研究的发展趋势。     

农业非点源控制的美国经验借鉴

我国的农业非点源污染治理正处于攻坚期,但部分政策一定程度上缺少具体执行标准和规范,难以执行到位,法律法规碎片化、分散且难以评估执行效果。本文从美国治理非点源的国际经验出发,梳理了联邦层面的法律法规、农业环境管理机构的运作形式以及州层面流域管理规划和非点源控制计划。最后,根据国际经验提出了如下建议:一是建议要求各省在农业规划中加入推进农业流域治理清单;二是建议制定流域地表水质达标规划,实现点源与非点源联合管理;三是建议形成最佳管理实践规范技术指南,并对执行者进行相应补贴,形成监管机制;四是建议建立农业绿色补贴制度,鼓励地方形成可持续的农业发展机制。     

A WINDOWS‐BASED GIS‐AGNPS INTERFACE1

ABSTRACT: ArcView Nonpoint Source Pollution Modeling (AVNPSM), an interface between ArcView GIS and AGNPS (Agricultural Nonpoint Source Pollution Model) is developed in support of agricultural watershed analysis and nonpoint source pollution management. The interface is PC‐based and operates in a Windows environment. It consists of seven modules: AGNPS utility, parameter generator, input file processor, model executor, output visualizer, statistical analyzer, and land use simulator. Basic input data to the interface include: soil, digital elevation model, land use/cover, water features, climate, and information on management practices. Application of the AVNPSM to a sample watershed indicates that it is user friendly, flexible, and robust, and it significantly improves the efficiency of the nonpoint source pollution modeling process.     

流域污染物通量测算方法研究

流域水系内污染物通量不仅能够用于评价各类污染源的水污染物入河负荷,也是对流域污染特征,水污染物在河流水体中复杂迁移、转化过程的最直观反应。准确测算流域水系内污染物跨界通量及其时空分布是进行流域水环境风险预警和风险管理的重要前提之一。针对目前多种污染物通量测算方法在进行污染物年通量估算时,结果不确定性大这一突出问题,以流域水质监测站年内逐日流量、悬浮颗粒物监测数据作为悬浮颗粒物年通量参考值,基于以月、半月、周为周期的监测策略,将逐日流量、悬浮颗粒物监测数据重新筛选抽样构造,由此,系统分析了不同流域集水面积、污染通量监测频次和目前常用通量估算方法对污染物年通量估算不确定性的影响。所得方法和结论可为进一步制定流域污染物通量的测算规范提供方法指引和技术支持。     

Soil erosion and non-point source pollution impacts assessment with the aid of multi-temporal remote sensing images

Soil erosion associated with non-point source pollution is viewed as a process of land degradation in many terrestrial environments. Careful monitoring and assessment of land use variations with different temporal and spatial scales would reveal a fluctuating interface, punctuated by changes in rainfall and runoff, movement of people, perturbation from environmental disasters, and shifts in agricultural activities and cropping patterns. The use of multi-temporal remote sensing images in support of environmental modeling analysis in a geographic information system (GIS) environment leading to identification of a variety of long-term interactions between land, resources, and the built environment has been a highly promising approach in recent years. This paper started with a series of supervised land use classifications, using SPOT satellite imagery as a means, in the Kao-Ping River Basin, South Taiwan. Then, it was designed to differentiate the variations of eight land use patterns in the past decade, including orchard, farmland, sugarcane field, forest, grassland, barren, community, and water body. Final accuracy was confirmed based on interpretation of available aerial photographs and global positioning system (GPS) measurements. Finally, a numerical simulation model (General Watershed Loading Function, GWLF) was used to relate soil erosion to non-point source pollution impacts in the coupled land and river water systems. Research findings indicate that while the decadal increase in orchards poses a significant threat to water quality, the continual decrease in forested land exhibits a potential impact on water quality management. Non-point source pollution, contributing to part of the downstream water quality deterioration of the Kao-Ping River system in the last decade, has resulted in an irreversible impact on land integrity from a long-term perspective.     

Assessing Watershed-Scale, Long-Term Hydrologic Impacts of Land-Use Change Using a GIS-NPS Model

Land-use change, dominated by an increase in urban/impervious areas, has a significant impact on water resources. This includes impacts on nonpoint source (NPS) pollution, which is the leading cause of degraded water quality in the United States. Traditional hydrologic models focus on estimating peak discharges and NPS pollution from high-magnitude, episodic storms and successfully address short-term, local-scale surface water management issues. However, runoff from small, low-frequency storms dominates long-term hydrologic impacts, and existing hydrologic models are usually of limited use in assessing the long-term impacts of land-use change. A long-term hydrologic impact assessment (L-THIA) model has been developed using the curve number (CN) method. Long-term climatic records are used in combination with soils and land-use information to calculate average annual runoff and NPS pollution at a watershed scale. The model is linked to a geographic information system (GIS) for convenient generation and management of model input and output data, and advanced visualization of model results. The L-THIA/NPS GIS model was applied to the Little Eagle Creek (LEC) watershed near Indianapolis, Indiana, USA. Historical land-use scenarios for 1973, 1984, and 1991 were analyzed to track land-use change in the watershed and to assess impacts on annual average runoff and NPS pollution from the watershed and its five subbasins. For the entire watershed between 1973 and 1991, an 18% increase in urban or impervious areas resulted in an estimated 80% increase in annual average runoff volume and estimated increases of more than 50% in annual average loads for lead, copper, and zinc. Estimated nutrient (nitrogen and phosphorus) loads decreased by 15% mainly because of loss of agricultural areas. The L-THIA/NPS GIS model is a powerful tool for identifying environmentally sensitive areas in terms of NPS pollution potential and for evaluating alternative land use scenarios for NPS pollution management.