Abstract

Droughts are one of the primary natural disasters that affect agricultural economies, as well as the fire hazards of territories. Monitoring and researching droughts is of great importance for agricultural disaster prevention and reduction. The research significance of investigating the hysteresis of agricultural to meteorological droughts is to provide an important reference for agricultural drought monitoring and early warnings. Remote sensing drought monitoring indices can be employed for rapid and accurate drought monitoring at regional scales. In this paper, the Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation indices and the surface temperature product are used as the data sources. Calculating the temperature vegetation drought index (TVDI) and constructing a comprehensive drought disaster index (CDDI) based on the crop growth period allowed drought conditions and spatiotemporal evolution patterns in the Volgograd region in 2010 and 2012 to be effectively monitored. The causes of the drought were then analyzed based on the sensitivity of a drought to meteorological factors in rain-fed and irrigated lands. Finally, the lag time of agricultural to meteorological droughts and the hysteresis in different growth periods were analyzed using statistical analyses. The research shows that (1) the main drought patterns in 2010 were spring droughts from April to May and summer droughts from June to August, and the primary drought patterns in 2012 were spring droughts from April to June, with an affected area that reached 3.33% during the growth period; (2) local drought conditions are dominated by the average surface temperature factor. Rain-fed lands are sensitive to the temperature and are therefore prone to summer droughts. Irrigated lands are more sensitive to water shortages in the spring and less sensitive to extremely high temperature conditions; (3) there is a certain lag between meteorological and agricultural droughts during the different growth stages. The strongest lag relationship was found in the planting stage and the weakest one was found in the dormancy stage. Therefore, the meteorological drought index in the growth period has a better predictive ability for agricultural droughts during the appropriately selected growth stages.

Highlights

  • A drought is defined as a prolonged and abnormal moisture deficiency [1]

  • Crop growth will develop with changes in water and heat conditions after droughts, which is reflected in the corresponding variety of parameters for its reflection characteristics

  • This provides a basis to use remote sensing drought indices to monitor the spatial evolution of droughts

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Summary

Introduction

A drought is defined as a prolonged and abnormal moisture deficiency [1]. This recurring phenomenon has a variety of geographical and temporal distributions, which have an impact on the natural environment, ecosystem and economic production, and life [2]. Droughts can be divided into four categories based on their impacts and characteristics, which are denoted as meteorological droughts, agricultural droughts, hydrological droughts, and socioeconomic droughts [6,7] These four types of droughts are complicated and interrelated phenomena, which propagate in different ways with varied definitions [5]. Distinct from the other three types of drought, a socioeconomic drought focuses on the impacts of drought events on the social, economic, and ecological environment, which are more complicated and difficult to quantify due to the impact of social production and human activities These four drought types are interactive in the water cycle [9] and related to different durations of the lack/reduction of precipitation and the impacts that are progressively caused. Two drought types are often considered together to assess the spatiotemporal evolution and development model of drought events in a given region

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