IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i23p6646-d290475.html
   My bibliography  Save this article

Terrestrial Water Storage in China: Spatiotemporal Pattern and Driving Factors

Author

Listed:
  • Qingzhong Huang

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China)

  • Qiang Zhang

    (Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China
    State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Academy of Disaster Reduction and Emergency Management, Ministry of Education/Ministry of Civil Affairs, Beijing Normal University, Beijing 100875, China)

  • Chong-Yu Xu

    (Department of Geosciences and Hydrology, University of Oslo, P.O. Box 1047 Blindern, N-0.16 Oslo, Norway)

  • Qin Li

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China)

  • Peng Sun

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    School of Geography and Tourism, Anhui Normal University, Anhui 241000, China)

Abstract

China is the largest agricultural country with the largest population and booming socio-economy, and hence, remarkably increasing water demand. In this sense, it is practically critical to obtain knowledge about spatiotemporal variations of the territorial water storage (TWS) and relevant driving factors. In this study, we attempted to investigate TWS changes in both space and time using the monthly GRACE (Gravity Recovery and Climate Experiment) data during 2003–2015. Impacts of four climate indices on TWS were explored, and these four climate indices are, respectively, El Niño Southern Oscillation (ENSO), Indian Ocean Dipole (IOD), North Atlantic Oscillation (NAO), and Pacific decadal oscillation (PDO). In addition, we also considered the impacts of precipitation changes on TWS. We found significant correlations between climatic variations and TWS changes across China. Meanwhile, the impacts of climate indices on TWS changes were shifting from one region to another across China with different time lags ranging from 0 to 12 months. ENSO, IOD and PDO exerted significant impacts on TWS over 80% of the regions across China, while NAO affected TWS changes over around 40% of the regions across China. Moreover, we also detected significant relations between TWS and precipitation changes within 9 out of the 10 largest river basins across China. These results highlight the management of TWS across China in a changing environment and also provide a theoretical ground for TWS management in other regions of the globe.

Suggested Citation

  • Qingzhong Huang & Qiang Zhang & Chong-Yu Xu & Qin Li & Peng Sun, 2019. "Terrestrial Water Storage in China: Spatiotemporal Pattern and Driving Factors," Sustainability, MDPI, vol. 11(23), pages 1-19, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:23:p:6646-:d:290475
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/23/6646/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/23/6646/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. N. H. Saji & B. N. Goswami & P. N. Vinayachandran & T. Yamagata, 1999. "A dipole mode in the tropical Indian Ocean," Nature, Nature, vol. 401(6751), pages 360-363, September.
    2. Justin Sheffield & Eric F. Wood & Michael L. Roderick, 2012. "Little change in global drought over the past 60 years," Nature, Nature, vol. 491(7424), pages 435-438, November.
    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. Linghui Guo & Yuanyuan Luo & Yao Li & Tianping Wang & Jiangbo Gao & Hebing Zhang & Youfeng Zou & Shaohong Wu, 2023. "Spatiotemporal Changes and the Prediction of Drought Characteristics in a Major Grain-Producing Area of China," Sustainability, MDPI, vol. 15(22), pages 1-19, November.
    2. Weiqing Han & Lei Zhang & Gerald A. Meehl & Shoichiro Kido & Tomoki Tozuka & Yuanlong Li & Michael J. McPhaden & Aixue Hu & Anny Cazenave & Nan Rosenbloom & Gary Strand & B. Jason West & Wen Xing, 2022. "Sea level extremes and compounding marine heatwaves in coastal Indonesia," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    3. Kaustubh Salvi & Subimal Ghosh, 2016. "Projections of Extreme Dry and Wet Spells in the 21st Century India Using Stationary and Non-stationary Standardized Precipitation Indices," Climatic Change, Springer, vol. 139(3), pages 667-681, December.
    4. Hongli Wang & Yongxiang Zhang & Xuemei Shao, 2021. "A tree-ring-based drought reconstruction from 1466 to 2013 CE for the Aksu area, western China," Climatic Change, Springer, vol. 165(1), pages 1-16, March.
    5. Ashenafi Yimam Kassaye & Guangcheng Shao & Xiaojun Wang & Shiqing Wu, 2021. "Quantification of drought severity change in Ethiopia during 1952–2017," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5096-5121, April.
    6. Akio Kitoh, 2007. "Variability of Indian monsoon-ENSO relationship in a 1000-year MRI-CGCM2.2 simulation," 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. 42(2), pages 261-272, August.
    7. Pere Quintana-Seguí & Anaïs Barella-Ortiz & Sabela Regueiro-Sanfiz & Gonzalo Miguez-Macho, 2020. "The Utility of Land-Surface Model Simulations to Provide Drought Information in a Water Management Context Using Global and Local Forcing Datasets," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(7), pages 2135-2156, May.
    8. R. S. Akhila & J. Kuttippurath & R. Rahul & A. Chakraborty, 2022. "Genesis and simultaneous occurrences of the super cyclone Kyarr and extremely severe cyclone Maha in the Arabian Sea in October 2019," 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. 113(2), pages 1133-1150, September.
    9. Yadav Prasad Joshi & Eun-Hye Kim & Jong-Hun Kim & Ho Kim & Hae-Kwan Cheong, 2016. "Associations between Meteorological Factors and Aseptic Meningitis in Six Metropolitan Provinces of the Republic of Korea," IJERPH, MDPI, vol. 13(12), pages 1-12, November.
    10. Francisco José Del-Toro-Guerrero & Luis Walter Daesslé & Rodrigo Méndez-Alonzo & Thomas Kretzschmar, 2022. "Surface Reflectance–Derived Spectral Indices for Drought Detection: Application to the Guadalupe Valley Basin, Baja California, Mexico," Land, MDPI, vol. 11(6), pages 1-19, May.
    11. D. Chiru Naik & Sagar Rohidas Chavan & P. Sonali, 2023. "Incorporating the climate oscillations in the computation of meteorological drought over India," 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. 117(3), pages 2617-2646, July.
    12. Zhang, Yuliang & Wu, Zhiyong & Singh, Vijay P. & Lin, Qingxia & Ning, Shaowei & Zhou, Yuliang & Jin, Juliang & Zhou, Rongxing & Ma, Qiang, 2023. "Agricultural drought characteristics in a typical plain region considering irrigation, crop growth, and water demand impacts," Agricultural Water Management, Elsevier, vol. 282(C).
    13. Sergio M. Vicente-Serrano & Miquel Tomas-Burguera & Santiago Beguería & Fergus Reig & Borja Latorre & Marina Peña-Gallardo & M. Yolanda Luna & Ana Morata & José C. González-Hidalgo, 2017. "A High Resolution Dataset of Drought Indices for Spain," Data, MDPI, vol. 2(3), pages 1-10, June.
    14. Benjamin L. Turner & Hector M. Menendez & Roger Gates & Luis O. Tedeschi & Alberto S. Atzori, 2016. "System Dynamics Modeling for Agricultural and Natural Resource Management Issues: Review of Some Past Cases and Forecasting Future Roles," Resources, MDPI, vol. 5(4), pages 1-24, November.
    15. K. Sumesh & M. Ramesh Kumar, 2013. "Tropical cyclones over north Indian Ocean during El-Niño Modoki years," 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. 68(2), pages 1057-1074, September.
    16. Lomborg, Bjorn, 2020. "Welfare in the 21st century: Increasing development, reducing inequality, the impact of climate change, and the cost of climate policies," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    17. Xinyu Fu & Mark Svoboda & Zhenghong Tang & Zhijun Dai & Jianjun Wu, 2013. "An overview of US state drought plans: crisis or risk management?," 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. 69(3), pages 1607-1627, December.
    18. Evan Girvetz & Chris Zganjar, 2014. "Dissecting indices of aridity for assessing the impacts of global climate change," Climatic Change, Springer, vol. 126(3), pages 469-483, October.
    19. Mingna Wu & Tianjun Zhou & Chao Li & Hongmei Li & Xiaolong Chen & Bo Wu & Wenxia Zhang & Lixia Zhang, 2021. "A very likely weakening of Pacific Walker Circulation in constrained near-future projections," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    20. Sergio M. Vicente‐Serrano & Tim R. McVicar & Diego G. Miralles & Yuting Yang & Miquel Tomas‐Burguera, 2020. "Unraveling the influence of atmospheric evaporative demand on drought and its response to climate change," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(2), March.

    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:gam:jsusta:v:11:y:2019:i:23:p:6646-:d:290475. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.