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基于改进型温度植被干旱指数(mTVDI)的1982—2010年中国干旱时空变化

Spatial-Temporal Variation of Drought in China from 1982 to 2010 Based on a modified Temperature Vegetation Drought Index (mTVDI).

作者信息

Zhao Shuhe, Cong Dianmin, He Kexun, Yang Hong, Qin Zhihao

机构信息

School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Ave, Qixia District, Nanjing, 210023, China.

Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, 163 Xianlin Ave, Qixia District, Nanjing, 210023, China.

出版信息

Sci Rep. 2017 Dec 12;7(1):17473. doi: 10.1038/s41598-017-17810-3.

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.

摘要

干旱会给社会和环境造成巨大损失,因此研究干旱的时空格局具有重要意义。传统的遥感干旱指数(AVI、VCI和TCI)仅考虑代表土壤湿度的单一因素(地表温度或归一化植被指数)。综合遥感干旱指数(VSWI和TVDI)能更准确地估算土壤湿度,但它们不适用于大规模区域,尤其是海拔变化较大的区域。在本研究中,基于海拔和干边校正构建了改进的温度植被干旱指数(mTVDI)。与传统干旱指数相比,mTVDI在所有选定月份与土壤湿度的关系都更好(R = -0.376、-0.406、-0.459和-0.265,p < 0.05)。利用mTVDI分析了1982年至2010年中国干旱的时空格局。结果表明,干旱在中国西北地区和西藏西南部出现得更为频繁,而中国北方和西南部的干旱中心分别出现在黄淮海平原和云贵高原。1982年至2010年期间,干旱频率总体呈上升趋势,其中严重干旱频率显著上升了4.86%,轻度干旱缓慢增加。这些结果有助于理解干旱情况和制定气候变化政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fee/5727209/6d53b9ad6bd1/41598_2017_17810_Fig1_HTML.jpg

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