IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i5p4238-d1081722.html
   My bibliography  Save this article

Water Conservation and Ecological Water Requirement Prediction of Mining Area in Arid Region Based on RS-GIS and InVEST: A Case Study of Bayan Obo Mine in Baotou, China

Author

Listed:
  • Qian-Qian Wang

    (School of Resources and Architectural Engineering, Gannan University of Science and Technology, Ganzhou 341000, China)

  • Cheng-Xin Geng

    (School of Energy and Environment, Inner Mongolia University of Science and Technology, Inner Mongolia Autonomous Region, Baotou 014010, China)

  • Lu Wang

    (Ganjiang Innovation Academy, Chinese Academy of Sciences, Ganzhou 341000, China)

  • Ting-Ting Zheng

    (School of Energy and Environment, Inner Mongolia University of Science and Technology, Inner Mongolia Autonomous Region, Baotou 014010, China)

  • Qing-Hong Jiang

    (School of Energy and Environment, Inner Mongolia University of Science and Technology, Inner Mongolia Autonomous Region, Baotou 014010, China)

  • Tong Yang

    (School of Energy and Environment, Inner Mongolia University of Science and Technology, Inner Mongolia Autonomous Region, Baotou 014010, China)

  • Yong-Qi Liu

    (School of Energy and Environment, Inner Mongolia University of Science and Technology, Inner Mongolia Autonomous Region, Baotou 014010, China)

  • Zhe Wang

    (School of Energy and Environment, Inner Mongolia University of Science and Technology, Inner Mongolia Autonomous Region, Baotou 014010, China)

Abstract

The overexploitation of mineral resources in northwestern China has resulted in severe ecological degradation and even desertification in certain mining areas. To support ecological restoration in these arid mining regions, we conducted a study on water conservation and ecological water demand using Bayan Obo as a case study. Based on remote sensing, geographic information systems, and the Integrated Valuation of Ecosystem Services and Trade-offs InVEST model, our study found that the mining area has lost its capacity for water production, with the water source conservation showing negative values. In addition, precipitation levels are far lower than evapotranspiration, making it difficult to retain precipitation. We predicted ecological water demand for the planning years (2025, 2030, and 2035) by combining qualitative and quantitative forecasting methods, with 2019 serving as the base year. The results indicated a downward trend in natural ecological water demand, while artificial ecological water demand exhibited the opposite trend. Changes in natural grassland and artificial green areas in the mining region were identified as the main drivers of changes in ecological water demand.

Suggested Citation

  • Qian-Qian Wang & Cheng-Xin Geng & Lu Wang & Ting-Ting Zheng & Qing-Hong Jiang & Tong Yang & Yong-Qi Liu & Zhe Wang, 2023. "Water Conservation and Ecological Water Requirement Prediction of Mining Area in Arid Region Based on RS-GIS and InVEST: A Case Study of Bayan Obo Mine in Baotou, China," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4238-:d:1081722
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/5/4238/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/5/4238/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paredes, P. & Pereira, L.S. & Almorox, J. & Darouich, H., 2020. "Reference grass evapotranspiration with reduced data sets: Parameterization of the FAO Penman-Monteith temperature approach and the Hargeaves-Samani equation using local climatic variables," Agricultural Water Management, Elsevier, vol. 240(C).
    2. Barton, Louise & Flottmann, Samuel J. & Stefanovia, Katia T. & Colmer, Timothy D., 2020. "Approaches to scheduling water allocations to kikuyugrass grown on a water repellent soil in a drying-climate," Agricultural Water Management, Elsevier, vol. 230(C).
    3. Hu, Xuhua & Chen, Mengting & Liu, Dong & Li, Dan & Jin, Li & Liu, Shaohui & Cui, Yuanlai & Dong, Bin & Khan, Shahbaz & Luo, Yufeng, 2021. "Reference evapotranspiration change in Heilongjiang Province, China from 1951 to 2018: The role of climate change and rice area expansion," Agricultural Water Management, Elsevier, vol. 253(C).
    4. K. Cheng & Q. Fu & J. Meng & T. X. Li & W. Pei, 2018. "Analysis of the Spatial Variation and Identification of Factors Affecting the Water Resources Carrying Capacity Based on the Cloud Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(8), pages 2767-2781, June.
    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. Penglong Wang & Yao Wei & Fanglei Zhong & Xiaoyu Song & Bao Wang & Qinhua Wang, 2022. "Evaluation of Agricultural Water Resources Carrying Capacity and Its Influencing Factors: A Case Study of Townships in the Arid Region of Northwest China," Agriculture, MDPI, vol. 12(5), pages 1-24, May.
    2. Jovanovic, N. & Pereira, L.S. & Paredes, P. & Pôças, I. & Cantore, V. & Todorovic, M., 2020. "A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods," Agricultural Water Management, Elsevier, vol. 239(C).
    3. Yumin Wang & Xian’e Zhang & Yifeng Wu, 2020. "Eutrophication Assessment Based on the Cloud Matter Element Model," IJERPH, MDPI, vol. 17(1), pages 1-19, January.
    4. Serra, J. & Paredes, P. & Cordovil, CMdS & Cruz, S. & Hutchings, NJ & Cameira, MR, 2023. "Is irrigation water an overlooked source of nitrogen in agriculture?," Agricultural Water Management, Elsevier, vol. 278(C).
    5. Paredes, Paula & Trigo, Isabel & de Bruin, Henk & Simões, Nuno & Pereira, Luis S., 2021. "Daily grass reference evapotranspiration with Meteosat Second Generation shortwave radiation and reference ET products," Agricultural Water Management, Elsevier, vol. 248(C).
    6. Boyang Sun & Xiaohua Yang & Yipeng Zhang & Xiaojuan Chen, 2019. "Evaluation of Water Use Efficiency of 31 Provinces and Municipalities in China Using Multi-Level Entropy Weight Method Synthesized Indexes and Data Envelopment Analysis," Sustainability, MDPI, vol. 11(17), pages 1-11, August.
    7. Tangzhe Nie & Rong Yuan & Sihan Liao & Zhongxue Zhang & Zhenping Gong & Xi Zhao & Peng Chen & Tiecheng Li & Yanyu Lin & Chong Du & Changlei Dai & Hao Jiang, 2022. "Characteristics of Potential Evapotranspiration Changes and Its Climatic Causes in Heilongjiang Province from 1960 to 2019," Agriculture, MDPI, vol. 12(12), pages 1-20, November.
    8. Yujie Wei & Ran Wang & Xin Zhuo & Haoying Feng, 2021. "Research on Comprehensive Evaluation and Coordinated Development of Water Resources Carrying Capacity in Qingjiang River Basin, China," Sustainability, MDPI, vol. 13(18), pages 1-22, September.
    9. Zihan Liu & Dong Jing & Yu Han & Jingxin Yu & Tiangang Lu & Lili Zhangzhong, 2022. "Spatiotemporal Distribution Characteristics and Influencing Factors Analysis of Reference Evapotranspiration in Beijing–Tianjin–Hebei Region from 1990 to 2019 under Climate Change," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    10. Guo, Ying & Lu, Xiaoling & Zhang, Jiquan & Li, Kaiwei & Wang, Rui & Rong, Guangzhi & Liu, Xingpeng & Tong, Zhijun, 2022. "Joint analysis of drought and heat events during maize (Zea mays L.) growth periods using copula and cloud models: A case study of Songliao Plain," Agricultural Water Management, Elsevier, vol. 259(C).
    11. Pelosi, A. & Chirico, G.B., 2021. "Regional assessment of daily reference evapotranspiration: Can ground observations be replaced by blending ERA5-Land meteorological reanalysis and CM-SAF satellite-based radiation data?," Agricultural Water Management, Elsevier, vol. 258(C).
    12. Su, Qiong & Singh, Vijay P. & Karthikeyan, Raghupathy, 2022. "Improved reference evapotranspiration methods for regional irrigation water demand estimation," Agricultural Water Management, Elsevier, vol. 274(C).
    13. Qiang Zou & Li Liao & Hui Qin, 2020. "Fast Comprehensive Flood Risk Assessment Based on Game Theory and Cloud Model Under Parallel Computation (P-GT-CM)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(5), pages 1625-1648, March.
    14. Ming Zhong & Jiao Wang & Liang Gao & Kairong Lin & Yang Hong, 2019. "Fuzzy Risk Assessment of Flash Floods Using a Cloud-Based Information Diffusion Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(7), pages 2537-2553, May.
    15. Lai, Chengguang & Chen, Xiaohong & Zhong, Ruida & Wang, Zhaoli, 2022. "Implication of climate variable selections on the uncertainty of reference crop evapotranspiration projections propagated from climate variables projections under climate change," Agricultural Water Management, Elsevier, vol. 259(C).
    16. Nouri, Milad & Homaee, Mehdi, 2022. "Reference crop evapotranspiration for data-sparse regions using reanalysis products," Agricultural Water Management, Elsevier, vol. 262(C).
    17. Xiao-Kang Wang & Yi-Ting Wang & Jian-Qiang Wang & Peng-Fei Cheng & Lin Li, 2020. "A TODIM-PROMETHEE Ⅱ Based Multi-Criteria Group Decision Making Method for Risk Evaluation of Water Resource Carrying Capacity under Probabilistic Linguistic Z-Number Circumstances," Mathematics, MDPI, vol. 8(7), pages 1-27, July.
    18. Vásquez, Cristina & Célleri, Rolando & Córdova, Mario & Carrillo-Rojas, Galo, 2022. "Improving reference evapotranspiration (ETo) calculation under limited data conditions in the high Tropical Andes," Agricultural Water Management, Elsevier, vol. 262(C).
    19. Geng, Qingling & Zhao, Yongkun & Sun, Shikun & He, Xiaohui & Wang, Dong & Wu, Dingrong & Tian, Zhihui, 2023. "Spatio-temporal changes and its driving forces of irrigation water requirements for cotton in Xinjiang, China," Agricultural Water Management, Elsevier, vol. 280(C).
    20. Rallo, G. & Paço, T.A. & Paredes, P. & Puig-Sirera, À. & Massai, R. & Provenzano, G. & Pereira, L.S., 2021. "Updated single and dual crop coefficients for tree and vine fruit crops," Agricultural Water Management, Elsevier, vol. 250(C).

    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:15:y:2023:i:5:p:4238-:d:1081722. 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.