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Water quality assessment using Web-based GIS and distributed database management systems: Concept development and application to Lower Rio Grande (Texas, Mexico).

机译:使用基于Web的GIS和分布式数据库管理系统进行水质评估:概念开发和在下里奥格兰德州的应用(墨西哥德克萨斯州)。

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摘要

A fundamental problem in water quality assessment is the development and implementation of the analysis tools. One has to perform a series of steps such as data mining, map generation and simulating and interpreting models. These isolated steps can lead to lack of integration and limited coordination. The objective of this research is to develop a multipurpose spatial decision support system where decision makers, stakeholders and public are provided with data, maps and assessment tools over the web. Temporal data is incorporated with Spatial System and are stored in a distributed database to test its adequacy over the web. Web based Geological Information System (GIS) was used to visualize and assess water quality over the web for an end user with minimum knowledge and computing experience. The Spatial Decision Support System was developed for this study focuses on the Lower Rio Grande river basin. Water quality data for the study region from various sources were obtained and stored in a relational database management system. The stored data was provided over the web using a graphical user interface with water quality assessment tools and tools to identify different management options. The availability of data and assessment tools over the web is expected to increase public participation in decision-making process and effectiveness of water quality assessment over the web.
机译:水质评估中的一个基本问题是分析工具的开发和实施。必须执行一系列步骤,例如数据挖掘,地图生成以及模拟和解释模型。这些孤立的步骤可能导致缺乏集成和有限的协调。这项研究的目的是开发一个多用途的空间决策支持系统,在此系统中,决策者,利益相关者和公众可以通过网络获得数据,地图和评估工具。时间数据已与空间系统合并,并存储在分布式数据库中,以测试其在网络上的适当性。基于Web的地质信息系统(GIS)用于以最少的知识和计算经验为最终用户通过Web可视化和评估水质。为这项研究开发的空间决策支持系统主要针对下里奥格兰德河流域。从各种来源获得了研究区域的水质数据,并将其存储在关系数据库管理系统中。所存储的数据是使用带有水质评估工具和用于识别不同管理选项的工具的图形用户界面通过网络提供的。网上数据和评估工具的可用性有望增加公众对决策过程的参与和网上水质评估的有效性。

著录项

  • 作者

    Ganapathy, Chockalingam.;

  • 作者单位

    Texas A&M University - Kingsville.;

  • 授予单位 Texas A&M University - Kingsville.;
  • 学科 Engineering Environmental.; Information Science.
  • 学位 M.S.
  • 年度 2002
  • 页码 60 p.
  • 总页数 60
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境污染及其防治;信息与知识传播;
  • 关键词

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