基流
水土评价工具
校准
环境科学
水文模型
水流
水文学(农业)
含水层
SWAT模型
分水岭
地下水
地下水模型
灵敏度(控制系统)
航程(航空)
计算机科学
地下水流
地质学
工程类
机器学习
统计
地理
岩土工程
数学
气候学
流域
地图学
电子工程
航空航天工程
作者
Salam A. Abbas,Ryan T. Bailey,Mohammed K. Almahawis,Jeremy T. White,Jeffrey G. Arnold,Michael J. White
标识
DOI:10.1080/02626667.2024.2393414
摘要
We present a new calibration strategy guide for coupled surface-subsurface hydrologic models. The goal is to reduce bias in environmental modeling and make calibration processes more consistent. The strategy guide enhances model efficiency and accuracy by focusing on changes to channel, soil, landscape, and aquifer properties. This approach is particularly beneficial when simulating important hydrologic features like baseflow and peaks and across different watersheds. Developed using SWAT+ and the new gwflow module in six diverse U.S. watersheds, each with unique hydrologic characteristics, the guide encourages improved calibration through routine use. It addresses specific issues related to the temporal distribution of streamflow and offers a robust method for enhancing model performance across a wide range of hydrologic conditions. By employing parameter estimation and sensitivity analysis, the approach ensures rigorous and objective calibration of SWAT+ and other models that include land, soil, aquifer, and water processes, leading to more accurate hydrologic modeling.
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