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Drought monitoring in Yunnan Province based on a TRMM precipitation product

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  • Yuanhe Yu

    (Yunnan Normal University
    Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan
    Center for Geospatial Information Engineering and Technology of Yunnan Province)

  • Jinliang Wang

    (Yunnan Normal University
    Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan
    Center for Geospatial Information Engineering and Technology of Yunnan Province)

  • Feng Cheng

    (Yunnan Normal University
    Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan
    Center for Geospatial Information Engineering and Technology of Yunnan Province)

  • Huan Deng

    (Yunnan Normal University
    Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan
    Center for Geospatial Information Engineering and Technology of Yunnan Province)

  • Sheng Chen

    (Yunnan Normal University)

Abstract

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 are slightly reduced. The R2 of GWR_GPP data is smaller than that of the TRMM data and GWR_NDVI data at all timescales. (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.

Suggested Citation

  • Yuanhe Yu & Jinliang Wang & Feng Cheng & Huan Deng & Sheng Chen, 2020. "Drought monitoring in Yunnan Province based on a TRMM precipitation product," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(3), pages 2369-2387, December.
    • Handle: RePEc:spr:nathaz:v:104:y:2020:i:3:d:10.1007_s11069-020-04276-2
    DOI: 10.1007/s11069-020-04276-2
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    References listed on IDEAS

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    1. Dong-Dong Zhang & Deng-Hua Yan & Fan Lu & Yi-Cheng Wang & Jing Feng, 2015. "Copula-based risk assessment of drought in Yunnan province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(3), pages 2199-2220, February.
    2. Jiajin Wang & Yaobin Meng, 2013. "An analysis of the drought in Yunnan, China, from a perspective of society drought severity," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 67(2), pages 431-458, June.
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    Keywords

    TRMM; Drought; GWR; Pa; TRCI; Yunnan Province;
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