王金亮导师小组的论文在SCI期刊Natural Hazards上发表

2020年9月5日，以云南省高校资源与环境遥感重点实验室2017级硕士研究生玉院和为第一作者、王金亮教授为通讯作者撰写题为“Drought Monitoring in Yunnan Province Based on a TRMM Precipitation Product”的论文在SCI期刊Natural Hazards上发表（https://doi.org/10.1007/s11069-020-04276-2）。研究以TRMM 3B43降水数据为数据源，以归一化植被指数(NDVI)和总初级生产力(GPP)为自变量，利用地理加权回归（GWR）将TRMM 3B43数据降尺度到1km空间分辨率，得到两种降尺度的降水模型(GWR_NDVI和GWR_GPP)；最后利用最佳降水模型构建的降水异常百分率(Pa)指数和热带降雨条件指数(TRCI)，进而评价2009-2018年云南省干旱情况。

基于GWR_NDVI模型的2009-2018年年均降水分布

两种干旱指数在2009-2018年各月的干旱覆盖率

该论文得到了王金亮教授主持的国家重点研发计划政府间/港澳台重点专项项目(No.2018YFE0184300)、欧盟文化执行署(EACEA伊拉斯谟+国际高等教育能力建设项目 “遥感教育与学习创新（No.586037-EPP-1-2017-1-HU-EPPKA2-CBHE-JP）、国家自然科学基金(No. 41561048)、云南省哲学社会科学重点项目(No.ZDZZD201506)、云南省中青年学术技术带头人（No.2008PY056）、云南省高校科技创新团队支持计划的资助。

论文具体信息如下：

标题：Drought Monitoring in Yunnan Province Based on a TRMM Precipitation Product

作者：Yuanhe Yu^1,2,3, Jinliang Wang^1,2,3,* , Feng Cheng^1,2,3, Huan Deng^1,2,3, and Sheng Chen¹

通讯作者：Jinliang Wang，jlwang@ynnu.edu.cn

单位：1.College of Tourism and Geographic Sciences, Yunnan Normal University, Kunming Yunnan 650500, China；2.Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, China； 3.Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, China

出版物：Natural Hazards

摘要：Yunnan Province is a region with frequent droughts; thus, drought monitoring research is important for implementing active and effective measures to mitigate drought and scientifically guide agricultural production. In this study, the Tropical Rainfall Measuring Mission (TRMM 3B43) remote sensing-based product is used as the data source, and a geographically weighted regression (GWR) model, normalized difference vegetation index (NDVI) data and gross primary productivity (GPP) are used as independent variables. The TRMM 3B43 data are downscaled to 1 km spatial resolution to obtain two downscaled precipitation models (GWR_NDVI and GWR_GPP). The precipitation anomaly percentage (Pa) index and the tropical rainfall condition index (TRCI) are used to evaluate the drought situation in Yunnan Province from 2009 to 2018, and the standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI) are used to verify the Pa and TRCI. The results show the following. (1) With an R² as high as 0.8821 and BIAS close to zero, the TRMM 3B43 monthly precipitation is significantly correlated with the measured precipitation. The GWR_NDVI data increase the R² at the monthly scale by 0.0114; the GWR_NDVI data show greater improvements from spring and winter than from summer and autumn; and the R² of the GWR_NDVI data for some sites is slightly reduced. The R² of GWR_GPP data is smaller than that of the TRMM data and GWR_NDVI data at all time scales. (2) Drought occurs every month from 2009 to 2018; it decreases from November to February of the following year and is generally alleviated from March to April; and the incidence of drought from 2009 to 2014 is generally higher than that from 2015 to 2018. The Pa and TRCI show strong correlations with the SPI and SPEI and thus can be used to effectively monitor drought events in Yunnan, although the degree of drought assessed by the Pa and TRCI differs. (3) The spatial distribution of precipitation in Yunnan Province shows little precipitation in the north and east but abundant precipitation in the south and west. Precipitation is mainly concentrated from May to October, with the most abundant precipitation occurring in July.

关键字：TRMM; Drought; GWR; Pa; TRCI; Yunnan Province

附录一  文章下载信息

Article is available as 'Online First': http://link.springer.com/article/10.1007/s11069-020-04276-2

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