School of Construction and Environmental Engineering, Shenzhen Polytechnic, Shenzhen 518055, China.
Institute of Urban Ecology and Environmental Technology, Shenzhen Polytechnic, Shenzhen 518055, China.
J Healthc Eng. 2022 Apr 13;2022:5010760. doi: 10.1155/2022/5010760. eCollection 2022.
Precipitation is the most important factor in determining the drought condition. In addition, the drought condition is also affected by the hydrological process such as evaporation, leakage, runoff, and groundwater. Based on a simple physical model of water income and recession, the effective precipitation index (WAP) can reflect the drought condition in a region on a short time scale. Using a water decline equation to describe the process of preliminary soil moisture, evaporation, runoff, and groundwater, the WAP can be used for the quantitative study of drought. This paper improves the calculation program of WAP with reference to the calculation model of the standardized index. The improved WAP (called SWAP) effectively solves the problem of seasonality in drought. The results showed that SWAP has the ability to capture the drought processes of occurrence, development, peak, and regression in a short time scale, and the SWAP can be used as an effective tool for drought identification, assessment, and prevention.
降水是决定干旱状况的最重要因素。此外,干旱状况还受到蒸发、渗漏、径流和地下水等水文过程的影响。基于水收支的简单物理模型,有效降水量指数(WAP)可以反映区域内的短期干旱状况。利用描述土壤初始水分亏缺、蒸发、径流和地下水的水量下降方程,可以对干旱进行定量研究。本文借鉴标准化指数的计算模型,改进了 WAP 的计算程序。改进后的 WAP(称为 SWAP)有效地解决了干旱的季节性问题。结果表明,SWAP 具有在短时间尺度上捕捉干旱发生、发展、峰值和消退过程的能力,SWAP 可以作为干旱识别、评估和预防的有效工具。