Strager Michael P, Petty J Todd, Strager Jacquelyn M, Barker-Fulton Jennifer
Division of Resource Management, West Virginia University, Morgantown, WV 26506-6108, USA.
J Environ Manage. 2009 Apr;90(5):1854-61. doi: 10.1016/j.jenvman.2008.12.006. Epub 2009 Jan 19.
Continued improvements in spatial datasets and hydrological modeling algorithms within Geographic Information Systems (GISs) have enhanced opportunities for watershed analysis. With more detailed hydrology layers and watershed delineation techniques, we can now better represent and model landscape to water quality relationships. Two challenges in modeling these relationships are selecting the appropriate spatial scale of watersheds for the receiving stream segment, and handling the network or pass-through issues of connected watersheds. This paper addresses these two important issues for enhancing cumulative watershed capabilities in GIS. Our modeling framework focuses on the delineation of stream-segment-level watershed boundaries for 1:24,000 scale hydrology, in combination with a topological network model. The result is a spatially explicit, vector-based, spatially cumulative watershed modeling framework for quantifying watershed conditions to aid in restoration. We demonstrate the new insights available from this modeling framework in a cumulative mining index for the management of aquatic resources in a West Virginia watershed.
地理信息系统（GIS）中空间数据集和水文建模算法的持续改进增加了流域分析的机会。借助更详细的水文学图层和流域划定技术，我们现在能够更好地表示和模拟景观与水质之间的关系。在对这些关系进行建模时面临的两个挑战是为接收河段选择合适的流域空间尺度，以及处理相连流域的网络或贯穿问题。本文探讨了这两个重要问题，以增强GIS中的累积流域能力。我们的建模框架侧重于结合拓扑网络模型，为1:24,000比例尺的水文学划定河段级别的流域边界。结果是一个空间明确、基于矢量、具有空间累积性的流域建模框架，用于量化流域状况以辅助恢复工作。我们在西弗吉尼亚州一个流域的水生资源管理累积采矿指数中展示了这个建模框架所带来的新见解。
