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A rangeland watershed management spatial decision support system: Design, implementation, and sensitivity analysis

机译:牧场流域管理空间决策支持系统:设计,实施和敏感性分析

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摘要

A prototype spatial decision support system for rangeland watershed management was developed to simplify the process of incorporating advances in technology into the decision process. The application utilizes an open framework by using Web services that are components that communicate using text-based messages, thus eliminating proprietary protocols. This new framework provides an extensible, accessible, and interoperable approach for spatial decision support systems. An important input into the SDSS is digital elevation data where data are produced using different methods, and with different accuracies and resolutions. Six digital elevation models were compared with survey data to evaluate accuracies at different locations in the Walnut Gulch Experimental Watershed. The sensitivity of the SDSS was evaluated using six management systems that were ranked based on minimizing sediment yield. The sensitivity of the DEM, contributing source area value, and precipitation event size on management system rankings was evaluated. Results provide assistance for users in selecting these data and modeling values. This research illustrated that recent advances in information technology can be effectively utilized in watershed decision support technology. The Internet-based SDSS provides core functionality required for rangeland watershed management education and decision-making. In comparing digital elevation data of different sources and resolutions with survey data, the DEM data approximated surfaces well, with the higher resolution data producing lower root mean square error values. And finally, different digital elevation models, contributing source area values, and precipitation event sizes produced different management system rankings. (Abstract shortened by UMI.)
机译:开发了用于牧场流域管理的原型空间决策支持系统,以简化将技术进步纳入决策过程的过程。该应用程序通过使用Web服务来利用开放框架,Web服务是使用基于文本的消息进行通信的组件,因此消除了专有协议。这个新框架为空间决策支持系统提供了一种可扩展,可访问且可互操作的方法。 SDSS的重要输入是数字高程数据,其中使用不同的方法以及不同的精度和分辨率来生成数据。将六个数字高程模型与调查数据进行了比较,以评估胡桃谷实验流域不同位置的精度。 SDSS的敏感性使用六个管理系统进行了评估,这些系统基于最大程度减少沉积物产量进行了排名。评估了DEM的敏感性,贡献源面积值和降水事件大小对管理系统排名的影响。结果为用户选择这些数据和建模值提供了帮助。这项研究表明,信息技术的最新进展可以有效地用于流域决策支持技术。基于Internet的SDSS提供牧场流域管理教育和决策所需的核心功能。在将不同来源和分辨率的数字高程数据与测量数据进行比较时,DEM数据很好地近似了曲面,而高分辨率数据则产生了较低的均方根误差值。最后,不同的数字高程模型,贡献的源面积值和降水事件大小产生了不同的管理系统排名。 (摘要由UMI缩短。)

著录项

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    Miller Ryan Craig;

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  • 年度 2004
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  • 原文格式 PDF
  • 正文语种 en_US
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