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Updated: Jun 25, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

使用高分辨率的土地使用,无性和雨水基础设施数据,改进了城市排水预测,应用于基于过程的生态水文模型

Jonathan Halama¹, Robert McKane¹, Bradley Barnhart²

¹U.S. Environmental Protection Agency, Corvallis, OR, United States of America.

|May 24, 2024

概括

城市水文模型是复杂的. 对VELMA (可视化生态系统土地管理评估) 模型的改进改善了对绿色和灰色基础设施对城市水流量和质量的影响的模拟.

科学领域:

生态水文学生态水文学
城市水资源管理
环境建模环境建模

背景情况:

城市地区为水文建模带来了复杂的挑战,因为工程特征加快了排水速度.
传统的灰色基础设施和新的绿色基础设施解决方案都用于管理城市雨水.
准确的建模需要了解城市设计如何改变水文过程和水路线.

研究的目的:

增强VELMA (可视化生态系统土地管理评估) 对于城市流域的生态水文模型.
整合空间显式工程特征并完善蒸发透气计算,以改进城市水文模型.
为了证明该模型在模拟城市河流下水和相关污染物运输方面的改进能力.

主要方法:

实施了对VELMA模型的改进,包括空间上明确的城市特征 (不透气的表面,道路,雨水路线).
精细化了蒸发透气计算,包括不透气的表面蒸发.
在西雅图,华盛顿州的Longfellow Creek流域模拟的河流下水,比较具有和没有城市特征的模型运行.

主要成果:

改进的VELMA模型在模拟复杂的城市化流域内的水文学方面表现出更高的准确性.
该模型成功地捕获了增加城市流域特征对河流流量的影响.
改进的水文流动模拟增强了VELMA对营养物质,污染物和热载荷的建模能力.

结论:

更新的VELMA模型为评估城市环境中绿色和灰色基础设施对水文影响提供了更准确的工具.
增强的建模能力对于有效的城市水资源管理和预测污染物的命运和运输至关重要.
这种改进的生态水文模型支持更好的决策,以实现可持续的城市土地管理和雨水整治.

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