ArticleScientific reports2017
Spatial-Temporal Variation of Drought in China from 1982 to 2010 Based on a modified Temperature Vegetation Drought Index (mTVDI).
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Intensifying Drought Patterns and Agricultural Water Stress in Erbil Governorate, Iraq: A Spatiotemporal Climate Analysis.Global challenges (Hoboken, NJ) · 2026Article
- Development of maximum relevant prior feature ensemble (MRPFE) index to characterize future drought using global climate models.Scientific reports · 2024Article
- Compound impact of COVID-19, economy and climate on the spatial distribution of global agriculture and food security.The Science of the total environment · 2023Article
- Spatial-Temporal Evolution and Driving Forces of Drying Trends on the Qinghai-Tibet Plateau Based on Geomorphological Division.International journal of environmental research and public health · 2022Article
- Using GRACE satellite observations for separating meteorological variability from anthropogenic impacts on water availability.Scientific reports · 2020Article
- Land Use Change and Climate Variation in the Three Gorges Reservoir Catchment from 2000 to 2015 Based on the Google Earth Engine.Sensors (Basel, Switzerland) · 2019Article
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Authors and funding
5 authors.
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Abstract
Droughts cause huge losses of society and environment, therefore it is important to study the spatial-temporal pattern of drought. The traditional remote sensing drought indices (AVI, VCI and TCI) only consider the single factor representing the soil moisture (surface temperature or NDVI). The comprehensive remote sensing drought indices (VSWI and TVDI) can estimate the soil moisture more accurately, but they are not suitable for large scale region especially with great elevation variation. In this study, a modified Temperature Vegetation Drought Index (mTVDI) was constructed based on the correction of elevation and dry edge. Compared with the traditional drought indices, mTVDI had a better relationship with soil moisture in all selected months (R = -0.376, -0.406, -0.459, and -0.265, p < 0.05). mTVDI was used to analyze the spatial-temporal patterns of drought in China from 1982 to 2010. The results showed that droughts appeared more frequently in Northwest China and the southwest of Tibet while drought centers of North and Southwest China appeared in Huanghuaihai Plain and Yunnan-Guizhou Plateau respectively. The frequency of drought was increasing as a whole while the frequency of severe drought increased significantly by 4.86% and slight drought increased slowly during 1982 to 2010. The results are useful for the understanding of drought and policy making of climate change.
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