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The Spatiotemporal Variation of Drought in the Beijing-Tianjin-Hebei Metropolitan Region (BTHMR) Based on the Modified TVDI

Author

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  • Haixin Liu

    (College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
    College of Mining and Geomatics, Hebei University of Engineering, Handan 056038, China
    Collaborative Innovation Center of Comprehensive Development and Utilization of Coal Resource, Handan 056021, China)

  • Anbing Zhang

    (College of Mining and Geomatics, Hebei University of Engineering, Handan 056038, China
    Collaborative Innovation Center of Comprehensive Development and Utilization of Coal Resource, Handan 056021, China)

  • Tao Jiang

    (College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China)

  • Haitao Lv

    (College of Mining and Geomatics, Hebei University of Engineering, Handan 056038, China
    Research Center of Hebei Province Ecological Civilization and Social Governance, Handan 056021, China)

  • Xinxia Liu

    (College of Mining and Geomatics, Hebei University of Engineering, Handan 056038, China
    Research Center of Hebei Province Ecological Civilization and Social Governance, Handan 056021, China)

  • Hefeng Wang

    (College of Mining and Geomatics, Hebei University of Engineering, Handan 056038, China
    Collaborative Innovation Center of Comprehensive Development and Utilization of Coal Resource, Handan 056021, China
    Research Center of Hebei Province Ecological Civilization and Social Governance, Handan 056021, China)

Abstract

This study proposes a modified vegetation-dependent temperature-vegetation dryness index (TVDI) model for analyzing regional drought disasters in the Beijing-Tianjin-Hebei Metropolitan Region (BTHMR) of China. First, MODIS monthly normalized difference vegetation index (NDVI), land surface temperature (LST) data and land use/cover data (Land cover type2) were pre-processed as a consistent big dataset. The land use/cover data were modified and integrated into six primary types. Then, these land types were used as the base data layer to calculate the TVDI by parameterizing the relationship between the MODIS NDVI and LST data. By emphasizing different types of land uses, this study was able to compare and analyze the differences of the TVDI indices between the entire study area (no consideration of the land types) and the six classified land uses. The soil moisture data were used to validate the modified TVDI values based on different land uses, which confirmed that the modified model more effectively reflected drought conditions. Finally, the aforementioned model was used to analyze the temporal and spatial variation of drought experienced by vegetation cover from 2000 to 2014. The results of the modified model were validated with the synchronized soil moisture and precipitation data. The case study clearly demonstrated that the modified TVDI model, which is based on different vegetation indexes, could better reflect the drought conditions of the study area.

Suggested Citation

  • Haixin Liu & Anbing Zhang & Tao Jiang & Haitao Lv & Xinxia Liu & Hefeng Wang, 2016. "The Spatiotemporal Variation of Drought in the Beijing-Tianjin-Hebei Metropolitan Region (BTHMR) Based on the Modified TVDI," Sustainability, MDPI, vol. 8(12), pages 1-15, December.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:12:p:1327-:d:85362
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    References listed on IDEAS

    as
    1. Jascha Lehmann & Dim Coumou & Katja Frieler, 2015. "Increased record-breaking precipitation events under global warming," Climatic Change, Springer, vol. 132(4), pages 501-515, October.
    2. Jascha Lehmann & Dim Coumou & Katja Frieler, 2015. "Erratum to: increased record-breaking precipitation events under global warming," Climatic Change, Springer, vol. 132(4), pages 517-518, October.
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    Cited by:

    1. Yi Liu & Zhongyun Ni & Yinbing Zhao & Guoli Zhou & Yuhao Luo & Shuai Li & Dong Wang & Shaowen Zhang, 2022. "Spatial-Temporal Evolution and Driving Forces of Drying Trends on the Qinghai-Tibet Plateau Based on Geomorphological Division," IJERPH, MDPI, vol. 19(13), pages 1-31, June.

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