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基于简单气象因子的干旱指数计算及其适用性分析

刘爽 范兴科

干旱地区农业研究2024,Vol.42Issue(1):242-251,10.
干旱地区农业研究2024,Vol.42Issue(1):242-251,10.DOI:10.7606/j.issn.1000-7601.2024.01.25

基于简单气象因子的干旱指数计算及其适用性分析

Calculation and applicability analysis of drought index based on simple meteorological factors

刘爽 1范兴科2

作者信息

  • 1. 中国科学院教育部水土保持与生态环境研究中心,陕西杨凌 712100||中国科学院水利部水土保持研究所,陕西杨凌 712100||中国科学院大学,北京 100049
  • 2. 中国科学院教育部水土保持与生态环境研究中心,陕西杨凌 712100||中国科学院水利部水土保持研究所,陕西杨凌 712100||西北农林科技大学水土保持研究所,陕西杨凌 712100
  • 折叠

摘要

Abstract

In order to establish a meteorological drought index that can effectively monitor short-term droughts,this study,based on the mechanism of meteorological drought occurrence-namely the imbalance between water sup-ply and demand(primarily influenced by precipitation and evapotranspiration),introduced a drought index termed the water scarcity index(WSI).This index was defined by the ten-day scale evapotranspiration deficit as a propor-tion of the water demand.The potential evapotranspiration(PET)was calculated using easily accessible meteoro-logical factors:temperature(T,℃)and relative humidity(RH,%).Using daily meteorological observation data from 30 weather stations in Shaanxi Province from 2000 to 2020,we analyzed the applicability characteristics of WSI.The results indicated that,without considering the effects of wind and atmospheric pressure,the error in esti-mating PET based on T and RH was relatively small compared to the Penman-Monteith equation.The root mean square error(RMSE)and mean absolute error(MAE)were 1.17 mm and 0.82 mm.However,62.1%of the data results were underestimated,with some stations having over 80%of data underestimated.Research on the recent drought development changes in different regions of Shaanxi Province showed that WSI can identify drought-prone areas and periods in Shaanxi.It also possesses a strong ability to recognize short-term drought events.WSI outper-forms MCI in swiftly detecting droughts,offering greater flexibility and simplicity for monitoring,forecasting,and e-valuating meteorological drought conditions.

关键词

气象干旱/气温/相对湿度/缺水度指数(WSI)/陕西省

Key words

meteorological drought/air temperature/relative humidity/water scarcity index(WSI)/Shaanxi Province

分类

农业科技

引用本文复制引用

刘爽,范兴科..基于简单气象因子的干旱指数计算及其适用性分析[J].干旱地区农业研究,2024,42(1):242-251,10.

基金项目

"十三五"国家重点研发计划项目(2016YFC0501703) (2016YFC0501703)

唐仲英基金会资助项目 ()

陕西省现代节水农业工程技术研究中心后补助项目(2021GCZX-16) (2021GCZX-16)

干旱地区农业研究

OA北大核心CSTPCD

1000-7601

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