IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v11y2014i3p2698-2712d33640.html
   My bibliography  Save this article

Analysis of Agricultural Land Use Change in the Middle Reach of the Heihe River Basin, Northwest China

Author

Listed:
  • Li Fu

    (Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
    Department of Geography, Western Michigan University, Kalamazoo, MI 49008, USA)

  • Lanhui Zhang

    (Center for Dryland Water Resources Research and Watershed Sciences, Key Laboratory of Western China's Environmental Systems (MOE), Lanzhou University, Lanzhou 730000, China)

  • Chansheng He

    (Department of Geography, Western Michigan University, Kalamazoo, MI 49008, USA
    Center for Dryland Water Resources Research and Watershed Sciences, Key Laboratory of Western China's Environmental Systems (MOE), Lanzhou University, Lanzhou 730000, China)

Abstract

The Heihe River Basin (HRB) is the second largest inland river basin in arid Northwest China. The expanding agricultural irrigation, growing industrialization, and increasing urban development in the middle reach have depleted much of the river flow to the lower reach, degrading the corresponding ecosystems. Since the enactment of the State Council of China’s new HRB water allocation policy in 2000 tremendous land use and land cover (LULC) changes have taken place to reduce water consumption in the middle reach and deliver more water downstream. This paper analyzes LULC changes during the period of 2000–2009 to understand how the changing land use patterns have altered water resource dynamics in the region. Results, while yet to be further verified in the field, show that from 2000 to 2009, urban, agricultural land, rangeland, and forest areas have increased, and barren area has decreased. Within the cropland, rice (a high water consumption crop) planting area decreased, while corn and wheat (relatively lower water consumption crops) planting areas increased. These changes in land use patterns, especially in the agricultural zones, have ensured the discharge of the required amount of water to the lower reach.

Suggested Citation

  • Li Fu & Lanhui Zhang & Chansheng He, 2014. "Analysis of Agricultural Land Use Change in the Middle Reach of the Heihe River Basin, Northwest China," IJERPH, MDPI, vol. 11(3), pages 1-15, March.
  • Handle: RePEc:gam:jijerp:v:11:y:2014:i:3:p:2698-2712:d:33640
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/11/3/2698/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/11/3/2698/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cheema, M.J.M. & Bastiaanssen, W.G.M., 2010. "Land use and land cover classification in the irrigated Indus Basin using growth phenology information from satellite data to support water management analysis," Agricultural Water Management, Elsevier, vol. 97(10), pages 1541-1552, October.
    2. Zhao, Chuanyan & Nan, Zhongren & Cheng, Guodong, 2005. "Methods for estimating irrigation needs of spring wheat in the middle Heihe basin, China," Agricultural Water Management, Elsevier, vol. 75(1), pages 54-70, July.
    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. 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.
    2. Muhammad Mohsin Khan & Muhammad Jehanzeb Masud Cheema & Talha Mahmood & Saddam Hussain & Hafiz Muhammad Nauman & Mohsin Nawaz & Muhammad Saifullah, 2020. "Crop Area Mapping By Intelligent Pixel Information Inferred Using 250m Modis Vegetation Timeseries In Transboundary Indus Basin," Big Data In Water Resources Engineering (BDWRE), Zibeline International Publishing, vol. 1(2), pages 32-35, February.
    3. Rana Muhammad Amir & Sikandar Ali & Muhammad Jehanzeb Masud Cheema & Saddam Hussain & Muhammad Sohail Waqas & Rao Husnain Arshad & Muhammad Salam & Ahsan Raza & Muhammad Aslam, 2020. "Estimating Sediment Yield At Tarbela Dam And Flood Forecasting Through Continuous Precipitation-Runoff Modeling Of Upper Indus Basin," Big Data In Water Resources Engineering (BDWRE), Zibeline International Publishing, vol. 1(2), pages 43-48, March.
    4. Mohammad Kamali & Rouzbeh Nazari & Alireza Faridhosseini & Hossein Ansari & Saeid Eslamian, 2015. "The Determination of Reference Evapotranspiration for Spatial Distribution Mapping Using Geostatistics," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(11), pages 3929-3940, September.
    5. Simons, G.W.H. & Bastiaanssen, W.G.M. & Cheema, M.J.M. & Ahmad, B. & Immerzeel, W.W., 2020. "A novel method to quantify consumed fractions and non-consumptive use of irrigation water: Application to the Indus Basin Irrigation System of Pakistan," Agricultural Water Management, Elsevier, vol. 236(C).
    6. Yongguang Hu & Ali Raza & Neyha Rubab Syed & Siham Acharki & Ram L. Ray & Sajjad Hussain & Hossein Dehghanisanij & Muhammad Zubair & Ahmed Elbeltagi, 2023. "Land Use/Land Cover Change Detection and NDVI Estimation in Pakistan’s Southern Punjab Province," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    7. Zhang, Chenglong & Guo, Ping, 2018. "FLFP: A fuzzy linear fractional programming approach with double-sided fuzziness for optimal irrigation water allocation," Agricultural Water Management, Elsevier, vol. 199(C), pages 105-119.
    8. Peng Shi & Yong Huang & Chen Chen & Yafeng Wang & Jun Xiao & Liding Chen, 2015. "How does pipeline construction affect land desertification? A case study in northwest 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. 77(3), pages 1993-2004, July.
    9. Shigeharu Sato & Bumpei Tojo & Tomonori Hoshi & Lis Izni Fanirah Minsong & Omar Kwang Kugan & Nelbon Giloi & Kamruddin Ahmed & Saffree Mohammad Jeffree & Kazuhiko Moji & Kiyoshi Kita, 2019. "Recent Incidence of Human Malaria Caused by Plasmodium knowlesi in the Villages in Kudat Peninsula, Sabah, Malaysia: Mapping of The Infection Risk Using Remote Sensing Data," IJERPH, MDPI, vol. 16(16), pages 1-10, August.
    10. M. Majidi & A. Alizadeh & M. Vazifedoust & A. Farid & T. Ahmadi, 2015. "Analysis of the Effect of Missing Weather Data on Estimating Daily Reference Evapotranspiration Under Different Climatic Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2107-2124, May.
    11. Wen, Yeqiang & Shang, Songhao & Yang, Jian, 2017. "Optimization of irrigation scheduling for spring wheat with mulching and limited irrigation water in an arid climate," Agricultural Water Management, Elsevier, vol. 192(C), pages 33-44.
    12. Lan Thanh Ha & Wim G. M. Bastiaanssen & Gijs W. H. Simons & Ate Poortinga, 2023. "A New Framework of 17 Hydrological Ecosystem Services (HESS17) for Supporting River Basin Planning and Environmental Monitoring," Sustainability, MDPI, vol. 15(7), pages 1-26, April.
    13. Saddam Hussain & Saba Malik & Muhammad Jehanzeb Masud Cheema & Muhammad Umair Ashraf & Muhammad Mazhar Iqbal & Sikandar Ali & Lubna Anjum & Muhammad Aslam & Hassan Afzal, 2020. "An Overview On Emerging Water Scarcity Challange In Pakistan, Its Consumption, Causes, Impacts And Remedial Measures," Big Data In Water Resources Engineering (BDWRE), Zibeline International Publishing, vol. 1(1), pages 22-31, March.
    14. Muhammad Mohsin Waqas & Muhammad Waseem & Sikandar Ali & Megersa Kebede Leta & Adnan Noor Shah & Usman Khalid Awan & Syed Hamid Hussain Shah & Tao Yang & Sami Ullah, 2021. "Evaluating the Spatio-Temporal Distribution of Irrigation Water Components for Water Resources Management Using Geo-Informatics Approach," Sustainability, MDPI, vol. 13(15), pages 1-20, August.
    15. Aftab Nazeer & Muhammad Mohsin Waqas & Sikandar Ali & Usman Khalid Awan & MuhammadJehanzeb Masud Cheema & Allah Baksh, 2020. "Land Use Land Cover Classification And Wheat Yield Prediction In The Lower Chenab Canal System Using Remote Sensing And Gis," Big Data In Agriculture (BDA), Zibeline International Publishing, vol. 2(2), pages 47-51, 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:jijerp:v:11:y:2014:i:3:p:2698-2712:d:33640. 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.