IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v7y2015i9p12958-12973d56206.html
   My bibliography  Save this article

Risk Assessment of Regional Irrigation Water Demand and Supply in an Arid Inland River Basin of Northwestern China

Author

Listed:
  • Bin Guo

    (College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
    State Key Laboratory of Mining Disaster Prevention and Control Co-Founded by Shandong Province and Ministry of Science & Technology, Shandong University of Science and Technology, Qingdao 266590, China
    State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Weihong Li

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Jinyun Guo

    (College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
    State Key Laboratory of Mining Disaster Prevention and Control Co-Founded by Shandong Province and Ministry of Science & Technology, Shandong University of Science and Technology, Qingdao 266590, China)

  • Chuanfa Chen

    (College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
    State Key Laboratory of Mining Disaster Prevention and Control Co-Founded by Shandong Province and Ministry of Science & Technology, Shandong University of Science and Technology, Qingdao 266590, China)

Abstract

Irrigation water demand accounts for more than 95% of the total water use in the Kaidu-kongqi River Basin. Determination of the spatial and temporal trends in irrigation water demand is important for making sustainable and wise water management strategies in this highly water deficit region. In this study, the spatial and temporal trends in irrigation water demand as well as net crop irrigation water requirements for nine major crops during 1985–2009 were analyzed by combining the Penman-Monteith equation recommended by Food and Agriculture Organization (FAO) and GIS technology. The regional water stress was also evaluated based on the total irrigation water demand and river discharge at the annual and monthly scales. The results indicated that the annual irrigation water demand in this arid region showed a significant increasing trend during the past 25 years. Total irrigation water demand increased from 14.68 × 10 8 m 3 in 1985 to 34.15 × 10 8 m 3 in 2009. The spatial pattern of total irrigation water demand was significantly affected by the changes in cotton growing area. Due to differences in crop planting structure, the monthly average irrigation water demands in Korla City and Yuli County amounted to the peak in July, while those in other regions reached the maximum in June. Although the annual river runoff was much larger than the irrigation water demand, there was serious water deficit during the critical water use period in May and June in some dry years. The presented study provides important information for managers and planners on sustainable use of water resources in this arid region.

Suggested Citation

  • Bin Guo & Weihong Li & Jinyun Guo & Chuanfa Chen, 2015. "Risk Assessment of Regional Irrigation Water Demand and Supply in an Arid Inland River Basin of Northwestern China," Sustainability, MDPI, vol. 7(9), pages 1-16, September.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:9:p:12958-12973:d:56206
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/7/9/12958/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/7/9/12958/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abdelhadi, A. W. & Hata, Takeshi & Tanakamaru, Haruya & Tada, Akio & Tariq, M. A., 2000. "Estimation of crop water requirements in arid region using Penman-Monteith equation with derived crop coefficients: a case study on Acala cotton in Sudan Gezira irrigated scheme," Agricultural Water Management, Elsevier, vol. 45(2), pages 203-214, July.
    2. Xu, Hailiang & Ye, Mao & Li, Jimei, 2008. "The water transfer effects on agricultural development in the lower Tarim River, Xinjiang of China," Agricultural Water Management, Elsevier, vol. 95(1), pages 59-68, January.
    3. Liu, Y. & Teixeira, J. L. & Zhang, H. J. & Pereira, L. S., 1998. "Model validation and crop coefficients for irrigation scheduling in the North China plain," Agricultural Water Management, Elsevier, vol. 36(3), pages 233-246, April.
    4. Huang, Y. & Li, Y.P. & Chen, X. & Ma, Y.G., 2012. "Optimization of the irrigation water resources for agricultural sustainability in Tarim River Basin, China," Agricultural Water Management, Elsevier, vol. 107(C), pages 74-85.
    5. Du, Taisheng & Kang, Shaozhong & Zhang, Jianhua & Li, Fusheng & Hu, Xiaotao, 2006. "Yield and physiological responses of cotton to partial root-zone irrigation in the oasis field of northwest China," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 41-52, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhenzhen Zhao & Aiwen Lin & Jiandi Feng & Qian Yang & Ling Zou, 2016. "Analysis of Water Resources in Horqin Sandy Land Using Multisource Data from 2003 to 2010," Sustainability, MDPI, vol. 8(4), pages 1-18, April.
    2. Hengxu Jin & Xiaoping Rui & Xiaoyan Li, 2022. "Analysing the Performance of Four Hydrological Models in a Chinese Arid and Semi-Arid Catchment," Sustainability, MDPI, vol. 14(6), pages 1-15, March.
    3. Mengya Hua & Yuyan Zhou & Cailian Hao & Qiang Yan, 2023. "Analyzing the Drivers of Agricultural Irrigation Water Demand in Water-Scarce Areas: A Comparative Study of Two Regions with Different Levels of Irrigated Agricultural Development," Sustainability, MDPI, vol. 15(20), pages 1-14, October.
    4. Mengran Fu & Bin Guo & Weijiao Wang & Juan Wang & Lihua Zhao & Jianlin Wang, 2019. "Comprehensive Assessment of Water Footprints and Water Scarcity Pressure for Main Crops in Shandong Province, China," Sustainability, MDPI, vol. 11(7), pages 1-18, March.
    5. Fei Wang & Yaning Chen & Zhi Li & Gonghuan Fang & Yupeng Li & Zhenhua Xia, 2019. "Assessment of the Irrigation Water Requirement and Water Supply Risk in the Tarim River Basin, Northwest China," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    6. Yang Wang & Shuai Zhang & Xueer Chang, 2020. "Evapotranspiration Estimation Based on Remote Sensing and the SEBAL Model in the Bosten Lake Basin of China," Sustainability, MDPI, vol. 12(18), pages 1-17, September.

    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. Yu, Yang & Yu, Ruide & Chen, Xi & Yu, Guoan & Gan, Miao & Disse, Markus, 2017. "Agricultural water allocation strategies along the oasis of Tarim River in Northwest China," Agricultural Water Management, Elsevier, vol. 187(C), pages 24-36.
    2. Al Zayed, Islam Sabry & Elagib, Nadir Ahmed & Ribbe, Lars & Heinrich, Jürgen, 2016. "Satellite-based evapotranspiration over Gezira Irrigation Scheme, Sudan: A comparative study," Agricultural Water Management, Elsevier, vol. 177(C), pages 66-76.
    3. Pedras, C.M.G. & Pereira, L.S. & Gonalves, J.M., 2009. "MIRRIG: A decision support system for design and evaluation of microirrigation systems," Agricultural Water Management, Elsevier, vol. 96(4), pages 691-701, April.
    4. Parkes, Martin & Jian, Wang & Knowles, Rupert, 2005. "Peak crop coefficient values for Shaanxi, North-west China," Agricultural Water Management, Elsevier, vol. 73(2), pages 149-168, May.
    5. Kang, Shaozhong & Hao, Xinmei & Du, Taisheng & Tong, Ling & Su, Xiaoling & Lu, Hongna & Li, Xiaolin & Huo, Zailin & Li, Sien & Ding, Risheng, 2017. "Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice," Agricultural Water Management, Elsevier, vol. 179(C), pages 5-17.
    6. Du, Shaoqing & Kang, Shaozhong & Li, Fusheng & Du, Taisheng, 2017. "Water use efficiency is improved by alternate partial root-zone irrigation of apple in arid northwest China," Agricultural Water Management, Elsevier, vol. 179(C), pages 184-192.
    7. Zhao, Nana & Liu, Yu & Cai, Jiabing & Paredes, Paula & Rosa, Ricardo D. & Pereira, Luis S., 2013. "Dual crop coefficient modelling applied to the winter wheat–summer maize crop sequence in North China Plain: Basal crop coefficients and soil evaporation component," Agricultural Water Management, Elsevier, vol. 117(C), pages 93-105.
    8. Yang, Gaiqiang & Guo, Ping & Huo, Lijuan & Ren, Chongfeng, 2015. "Optimization of the irrigation water resources for Shijin irrigation district in north China," Agricultural Water Management, Elsevier, vol. 158(C), pages 82-98.
    9. Wei, Zheng & Paredes, Paula & Liu, Yu & Chi, Wei Wei & Pereira, Luis S., 2015. "Modelling transpiration, soil evaporation and yield prediction of soybean in North China Plain," Agricultural Water Management, Elsevier, vol. 147(C), pages 43-53.
    10. Tong, Ling & Kang, Shaozhong & Zhang, Lu, 2007. "Temporal and spatial variations of evapotranspiration for spring wheat in the Shiyang river basin in northwest China," Agricultural Water Management, Elsevier, vol. 87(3), pages 241-250, February.
    11. R. Roozbahani & B. Abbasi & S. Schreider, 2015. "Optimal allocation of water to competing stakeholders in a shared watershed," Annals of Operations Research, Springer, vol. 229(1), pages 657-676, June.
    12. Liuyue He & Sufen Wang & Congcong Peng & Qian Tan, 2018. "Optimization of Water Consumption Distribution Based on Crop Suitability in the Middle Reaches of Heihe River," Sustainability, MDPI, vol. 10(7), pages 1-17, June.
    13. Bai, Zhentao & Bai, Wenqiang & Xie, Cong & Yu, Jiang & Dai, Yulong & Pei, Shengzhao & Zhang, Fucang & Li, Yunxia & Fan, Junliang & Yin, Feihu, 2023. "Irrigation depth and nitrogen rate effects on seed cotton yield, fiber quality and water-nitrogen utilization efficiency in southern Xinjiang, China," Agricultural Water Management, Elsevier, vol. 290(C).
    14. Hipólito-Valencia, Brígido J. & Mosqueda-Jiménez, Francisco Waldemar & Barajas-Fernández, Juan & Ponce-Ortega, José M., 2021. "Incorporating a seawater desalination scheme in the optimal water use in agricultural activities," Agricultural Water Management, Elsevier, vol. 244(C).
    15. Li, Fusheng & Wei, Caihui & Zhang, Fucang & Zhang, Jianhua & Nong, Mengling & Kang, Shaozhong, 2010. "Water-use efficiency and physiological responses of maize under partial root-zone irrigation," Agricultural Water Management, Elsevier, vol. 97(8), pages 1156-1164, August.
    16. Badr, M.A. & El-Tohamy, W.A. & Salman, S.R. & Gruda, N., 2022. "Yield and water use relationships of potato under different timing and severity of water stress," Agricultural Water Management, Elsevier, vol. 271(C).
    17. Yoo, Seung-Hwan & Choi, Jin-Yong & Jang, Min-Won, 2008. "Estimation of design water requirement using FAO Penman-Monteith and optimal probability distribution function in South Korea," Agricultural Water Management, Elsevier, vol. 95(7), pages 845-853, July.
    18. Popova, Zornitsa & Pereira, Luis S., 2011. "Modelling for maize irrigation scheduling using long term experimental data from Plovdiv region, Bulgaria," Agricultural Water Management, Elsevier, vol. 98(4), pages 675-683, February.
    19. Yang, Xiaolin & Gao, Wangsheng & Shi, Quanhong & Chen, Fu & Chu, Qingquan, 2013. "Impact of climate change on the water requirement of summer maize in the Huang-Huai-Hai farming region," Agricultural Water Management, Elsevier, vol. 124(C), pages 20-27.
    20. Liu, J. & Li, Y.P. & Huang, G.H. & Zeng, X.T., 2014. "A dual-interval fixed-mix stochastic programming method for water resources management under uncertainty," Resources, Conservation & Recycling, Elsevier, vol. 88(C), pages 50-66.

    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:7:y:2015:i:9:p:12958-12973:d:56206. 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.