IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v119y2023i1d10.1007_s11069-023-06131-6.html
   My bibliography  Save this article

Entropy-weight-based spatiotemporal drought assessment using MODIS products and Sentinel-1A images in Urumqi, China

Author

Listed:
  • Xiaoyan Tang

    (Tongji University
    Tongji University)

  • Yongjiu Feng

    (Tongji University
    Tongji University)

  • Chen Gao

    (Tongji University
    Tongji University)

  • Zhenkun Lei

    (Tongji University
    Tongji University)

  • Shurui Chen

    (Tongji University
    Tongji University)

  • Rong Wang

    (Tongji University
    Tongji University)

  • Yanmin Jin

    (Tongji University
    Tongji University)

  • Xiaohua Tong

    (Tongji University
    Tongji University)

Abstract

Drought is one of the most severe natural hazards influenced by many factors, which can in turn cause severe damage to agricultural, economic, social and ecological systems. For assessing drought intensity, early studies have typically used single-factor-based modeling approaches to delineate a specific aspect of drought. In this study, we developed an entropy weight method (named LNPS-EWM) for drought assessment based on MODIS products and Sentinel-1A images, considering four important factors, including land surface temperature (LST), normalized difference vegetation index (NDVI), potential evapotranspiration (PET), and soil moisture. The new LNPS-EWM method was applied to analyze the spatiotemporal drought patterns in Urumqi for 2018–2021. The results show that LST and PET were the dominant factors, which accounted for about 70% while NDVI and soil moisture only accounted for about 30%. A five-level drought classification shows that severe drought accounts for the largest portion and exceptional drought for the smallest portion. From 2018 to 2021, the Urumqi city center is the most drought-prone area, followed by the low-lying areas, while the southwestern and eastern mountainous areas are in a mild drought. In the central region in the north–south direction, the drought intensity in Urumqi was mitigated from 2018 to 2021. These results are useful for risk assessment, large-scale monitoring, and early warning of drought conditions. This study improves our understanding of drought intensity patterns in arid Northwest China and should help improve regulatory and regional policies to combat drought to maintain eco-friendly cities in other arid regions.

Suggested Citation

  • Xiaoyan Tang & Yongjiu Feng & Chen Gao & Zhenkun Lei & Shurui Chen & Rong Wang & Yanmin Jin & Xiaohua Tong, 2023. "Entropy-weight-based spatiotemporal drought assessment using MODIS products and Sentinel-1A images in Urumqi, 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. 119(1), pages 387-408, October.
  • Handle: RePEc:spr:nathaz:v:119:y:2023:i:1:d:10.1007_s11069-023-06131-6
    DOI: 10.1007/s11069-023-06131-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-023-06131-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-023-06131-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Raphael Muli Wambua, 2019. "Drought Estimation-and-Projection Using Standardized Supply-Demand-Water Index and Artificial Neural Networks for Upper Tana River Basin in Kenya," International Journal of Applied Geospatial Research (IJAGR), IGI Global, vol. 10(4), pages 11-27, October.
    2. Nina Zhu & Jianhua Xu & Gang Zeng & Xianzhong Cao, 2021. "Spatiotemporal Response of Hydrological Drought to Meteorological Drought on Multi-Time Scales Concerning Endorheic Basin," IJERPH, MDPI, vol. 18(17), pages 1-20, August.
    3. Shengzhi Huang & Bo Ming & Qiang Huang & Guoyong Leng & Beibei Hou, 2017. "A Case Study on a Combination NDVI Forecasting Model Based on the Entropy Weight Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(11), pages 3667-3681, September.
    4. Junqi Cheng & Shuyan Yin, 2021. "Analysis of Drought Characteristics and Its Effects on Crop Yield in Xinjiang in Recent 60 Years," Sustainability, MDPI, vol. 13(24), pages 1-14, December.
    5. Huaijun Wang & Zhi Li & Lei Cao & Ru Feng & Yingping Pan, 2021. "Response of NDVI of Natural Vegetation to Climate Changes and Drought in China," Land, MDPI, vol. 10(9), pages 1-24, September.
    6. Nana Luo & Dehua Mao & Bolong Wen & Xingtu Liu, 2020. "Climate Change Affected Vegetation Dynamics in the Northern Xinjiang of China: Evaluation by SPEI and NDVI," Land, MDPI, vol. 9(3), pages 1-18, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiuwei Xing & Jing Qian & Xi Chen & Chaoliang Chen & Jiayu Sun & Shujie Wei & Duman Yimamaidi & Zhahan Zhanar, 2022. "Analysis of Effects of Recent Changes in Hydrothermal Conditions on Vegetation in Central Asia," Land, MDPI, vol. 11(3), pages 1-27, February.
    2. Oiliam Stolarski & João A. Santos & André Fonseca & Chenyao Yang & Henrique Trindade & Helder Fraga, 2023. "Climate Change Impacts on Grassland Vigour in Northern Portugal," Land, MDPI, vol. 12(10), pages 1-18, October.
    3. Li, Huanhuan & Chen, Diyi & Arzaghi, Ehsan & Abbassi, Rouzbeh & Xu, Beibei & Patelli, Edoardo & Tolo, Silvia, 2018. "Safety assessment of hydro-generating units using experiments and grey-entropy correlation analysis," Energy, Elsevier, vol. 165(PA), pages 222-234.
    4. Huicong An & Xiaorong Zhang & Jiaqi Ye, 2024. "Analysis of Vegetation Environmental Stress and the Lag Effect in Countries along the “Six Economic Corridors”," Sustainability, MDPI, vol. 16(8), pages 1-18, April.
    5. Yang Wang & Remina Shataer & Tingting Xia & Xueer Chang & Hui Zhen & Zhi Li, 2021. "Evaluation on the Change Characteristics of Ecosystem Service Function in the Northern Xinjiang Based on Land Use Change," Sustainability, MDPI, vol. 13(17), pages 1-17, August.
    6. Xiuhua Cai & Wenqian Zhang & Cunjie Zhang & Qiang Zhang & Jingli Sun & Chen Cheng & Wenjie Fan & Ying Yu & Xiaoling Liu, 2022. "Identification and Spatial-Temporal Variation Characteristics of Regional Drought Processes in China," Land, MDPI, vol. 11(6), pages 1-21, June.
    7. Yongchao Duan & Min Luo & Xiufeng Guo & Peng Cai & Fu Li, 2021. "Study on the Relationship between Snowmelt Runoff for Different Latitudes and Vegetation Growth Based on an Improved SWAT Model in Xinjiang, China," Sustainability, MDPI, vol. 13(3), pages 1-26, January.
    8. Peiqiang Gao & Wenfeng Du & Qingwen Lei & Juezhi Li & Shuaiji Zhang & Ning Li, 2023. "NDVI Forecasting Model Based on the Combination of Time Series Decomposition and CNN – LSTM," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(4), pages 1481-1497, March.
    9. Shengxin Lan & Zuoji Dong, 2022. "Incorporating Vegetation Type Transformation with NDVI Time-Series to Study the Vegetation Dynamics in Xinjiang," Sustainability, MDPI, vol. 14(1), pages 1-15, January.
    10. Haochen Yu & Zhengfu Bian & Shouguo Mu & Junfang Yuan & Fu Chen, 2020. "Effects of Climate Change on Land Cover Change and Vegetation Dynamics in Xinjiang, China," IJERPH, MDPI, vol. 17(13), pages 1-25, July.
    11. Wan-Jiun Chen, 2022. "Toward Sustainability: Dynamics of Total Carbon Dioxide Emissions, Aggregate Income, Non-Renewable Energy, and Renewable Power," Sustainability, MDPI, vol. 14(5), pages 1-27, February.
    12. Shuping Fan & Peng Li & Qi He & Jiaru Cheng & Mingfeng Zhang & Nan Wu & Song Yang & Shidong Pan, 2022. "Study on the Spatial-Temporal Evolution of Land Use Ecosystem Service Value and Its Zoning Management and Control in the Typical Alpine Valley Area of Southeast Tibet—Empirical Analysis Based on Panel," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    13. Yan Nie & Chen Yin & Pu Wang & Xingying He & Junjun Cao & Jing Yu, 2022. "Temporal and Spatial Evolution of Eichmann Lake Wetland in Aksu River Basin and Its Response to Ecological Water Supply," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    14. Yan Li & Jie Gong & Yunxia Zhang & Bingli Gao, 2022. "NDVI-Based Greening of Alpine Steppe and Its Relationships with Climatic Change and Grazing Intensity in the Southwestern Tibetan Plateau," Land, MDPI, vol. 11(7), pages 1-16, June.
    15. Xiuhua Cai & Wenqian Zhang & Xiaoyi Fang & Qiang Zhang & Cunjie Zhang & Dong Chen & Chen Cheng & Wenjie Fan & Ying Yu, 2021. "Identification of Regional Drought Processes in North China Using MCI Analysis," Land, MDPI, vol. 10(12), pages 1-19, December.
    16. Xiaobo Liu & Yukuan Wang & Ming Li, 2021. "How to Identify Future Priority Areas for Urban Development: An Approach of Urban Construction Land Suitability in Ecological Sensitive Areas," IJERPH, MDPI, vol. 18(8), pages 1-21, April.
    17. Yanmin Shuai & Yanjun Tian & Congying Shao & Jiapeng Huang & Lingxiao Gu & Qingling Zhang & Ruishan Zhao, 2022. "Potential Variation of Evapotranspiration Induced by Typical Vegetation Changes in Northwest China," Land, MDPI, vol. 11(6), pages 1-19, May.
    18. Huaijun Wang & Zhi Li & Lei Cao & Ru Feng & Yingping Pan, 2021. "Response of NDVI of Natural Vegetation to Climate Changes and Drought in China," Land, MDPI, vol. 10(9), pages 1-24, September.
    19. Yu Zhang & Na Gong & Huade Zhu, 2023. "Vegetation Dynamics and Food Security against the Background of Ecological Restoration in Hubei Province, China," IJERPH, MDPI, vol. 20(2), pages 1-18, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:119:y:2023:i:1:d:10.1007_s11069-023-06131-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.