对基于SWAT的水文模型输入数据有效性的分辨率和准确性的调查
Nisreen Jawad Rasheed1, Mahmoud S Al-Khafaji2, Imzahim A Alwan3
1Soil and Water Resources Department, College of Agriculture, University of Diyala, Baqubah, 32001, Diyala, Iraq.
Heliyon
|October 14, 2024
概括
本综述强调了影响土壤和水资源评估工具 (SWAT) 水文模型的关键因素. 优化输入数据的分辨率和准确性对于可靠的流域模拟至关重要.
科学领域:
- 水文学的水文学
- 环境建模环境建模
- 地理空间分析是什么
背景情况:
- 土壤和水资源评估工具 (SWAT) 模型对于水文研究至关重要.
- 输入数据的分辨率和准确性显著影响SWAT模型的结果.
- 缺乏评估这些影响的全面框架.
研究的目的:
- 审查影响SWAT模型准确性的影响因素.
- 确定数据分辨率的趋势及其对水文建模的影响.
- 为了指导SWAT模型的最佳输入数据的选择.
主要方法:
- 审查有关SWAT模型输入数据的现有文献.
- 数字海拔模型 (DEM) 解决方案的影响分析.
- 评估土壤数据,土地使用/土地覆盖 (LULC) 解析度和天气数据解析度.
主要成果:
- 最佳的DEM分辨率是流域特定的;土壤数据的准确性是沉积物产量的关键.
- LULC分辨率对流量的影响尚不清楚,但精细的分辨率有助于沉积物产量模拟.
- 每日下降数据对于精确的流量估计至关重要;CHIRPS对于有限的测量数据很有用.
结论:
- 了解输入数据的交互和互补影响至关重要.
- 需要进一步研究数据分辨率和准确性的综合影响.
- 本综述为基于SWAT的流域模型的高效实施提供了指导.
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