GIS与水文模型的交互:基于ArcHydro框架数据模型的初步方法

Q3 Environmental Science
S. Simões
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引用次数: 3

摘要

在巴西的不同地区,人口增长和经济发展可能会使水质恶化,损害流域健康和人类供应。地理信息系统(GIS)能够将同一环境中的空间和时间数据结合起来,并创建水资源管理(WRM)模型,因此是管理水资源、预防洪水和估计供水的有力工具。本文讨论了GIS与水文模型之间的整合,并提出了一个与位于巴西东南部的南帕拉伊巴盆地(圣保罗州部分)上部有关的案例研究。本文的案例研究有一个适合流域尺度的数据库,包括5万比例尺的数字化地形图。从ArcGIS®/ArcHydro框架数据模型,创建了一个几何网络,以产生不同的光栅产品。从数字高程模型网格(DEM)导出的第一个网格是流向图,其次是流量累积图、溪流图和集水区图。本研究的下一步是包括位于Paraiba do Sul河沿岸的不同多用途水库,并将降雨时间序列数据纳入ArcHydro中,在GIS环境中建立水文数据模型,以产生综合的时空模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interaction between GIS and hydrologic model: A preliminary approach using ArcHydro Framework Data Model
In different regions of Brazil, population growth and economic development can degrade water quality, compromising watershed health and human supply. Because of its ability to combine spatial and temporal data in the same environment and to create water resources management (WRM) models, the Geographical Information System (GIS) is a powerful tool for managing water resources, preventing floods and estimating water supply. This paper discusses the integration between GIS and hydrological models and presents a case study relating to the upper section of the Paraiba do Sul Basin (Sao Paulo State portion), situated in the Southeast of Brazil. The case study presented in this paper has a database suitable for the basin’s dimensions, including digitized topographic maps at a 50,000 scale. From an ArcGIS ® /ArcHydro Framework Data Model, a geometric network was created to produce different raster products. This first grid derived from the digital elevation model grid (DEM) is the flow direction map followed by flow accumulation, stream and catchment maps. The next steps in this research are to include the different multipurpose reservoirs situated along the Paraiba do Sul River and to incorporate rainfall time series data in ArcHydro to build a hydrologic data model within a GIS environment in order to produce a comprehensive spatial-temporal model.
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来源期刊
Revista Ambiente e Agua
Revista Ambiente e Agua Environmental Science-Environmental Science (all)
CiteScore
1.80
自引率
0.00%
发文量
48
审稿时长
22 weeks
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