基于温度植被干旱指数的华北平原干旱监测及时空变化分析

doi:10.19788/j.issn.2096-6369.230118

摘要/Abstract

摘要：

干旱是地区水资源供需失衡和水资源短缺的主要原因，干旱的发生是一个长期、连续且复杂的过程，是大气、土壤以及农作物综合作用的结果，干旱对全国人民的生产和生活都有很大的影响，如何更好地监测干旱，对于工农业、人民的日常生活都有着重要的意义。植被指数和地表温度可以描述植被对干旱胁迫的响应，从而反映出土壤水分状况。文章利用植被指数和地表温度的二维特征空间建立了温度植被干旱指数，将两个指标的独特生态生理学意义结合起来，选取2010—2019年(共10年)的温度植被干旱指数，对华北平原的干旱进行监测与分析，同时将干旱划分为5个等级(重度湿润、轻度湿润、正常、轻度干旱和重度干旱)，从年变化、季节变化、月变化分析华北平原干旱时空变化情况。结果表明，总体上华北平原2010—2019年的干旱以轻度干旱为主，且干旱情况呈现上升的趋势，干旱指数值从最低点0.580上升到了最高点0.602，分别出现在2011年与2017年，表明在近10年来，2011年的干旱程度最低，而2017年的干旱程度最严重；从季节角度分析，华北平原的干旱多发在夏季，夏季的干旱指数值为0.714；从月度角度分析，华北平原温度植被干旱指数最高点与最低点分别出现在7月(0.736)与1月(0.446)。本文对华北平原的干旱研究为该地区的抗旱防旱提供了可靠的研究支撑。

关键词: 干旱监测, 温度植被干旱指数, 华北平原, 遥感

Abstract:

Drought is the main reason for the imbalance between supply and demand of water resources and the shortage of water resources in the region. The occurrence of drought is a long-term, continuous and complex process, which is the result of the comprehensive action of atmosphere, soil and crops. Drought has a great impact on the production and life of the people all over the country. How to better monitor drought is of great significance to industry, agriculture and people's daily life. Vegetation index and temperature can describe the response of vegetation to drought stress, thus reflecting the soil water status. In this paper, the temperature vegetation dryness index is established by using the two-dimensional characteristic space of vegetation index and surface temperature. The unique ecological and physiological significance of the two indexes is combined. The temperature vegetation dryness index from 2010 to 2019 (10 years) is selected to monitor and analyze the drought in the North China Plain. Drought is divided into five grades (heavy humidity, light humidity, normal, light drought, heavy drought), from the annual change seasonal and monthly changes analyze the temporal and spatial changes of drought. The results show that the drought is mainly mild drought, and the drought situation shows an upward trend. From the perspective of season, drought often occurs in summer. From the month, the highest and lowest temperature vegetation dryness index appeared in July and January respectively. The study of drought in North China Plain provides a reliable research support for drought resistance and drought prevention in this region.

Key words: drought monitoring, temperature vegetation dryness index, north China plain, remote sensing

张兆旭, 崔津, 苟文涛, 肖月. 基于温度植被干旱指数的华北平原干旱监测及时空变化分析[J]. 农业大数据学报, 2023, 5(1): 95-107.

ZHANG Zhaoxu, CUI Jin, GOU Wentao, XIAO Yue. Drought Monitoring and Spatiotemporal Changes Analysis in North China Plain Based on Temperature Vegetation Dryness Index[J]. Journal of Agricultural Big Data, 2023, 5(1): 95-107.

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等级	类型	TVDI
1	重度湿润	0<TVDI≤0.2
2	轻度湿润	0.2<TVDI≤0.4
3	正常	0.4<TVDI≤0.6
4	轻度干旱	0.6<TVDI≤0.8
5	重度干旱	0.8<TVDI≤1.0