IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v24y2022i4d10.1007_s10668-021-01637-0.html
   My bibliography  Save this article

Multivariate modeling of agricultural river water abstraction via novel integrated-wavelet methods in various climatic conditions

Author

Listed:
  • Alireza Emadi

    (Sari Agricultural Science and Natural Resources University)

  • Reza Sobhani

    (Sari Agricultural Science and Natural Resources University)

  • Hossein Ahmadi

    (University of Tehran)

  • Arezoo Boroomandnia

    (University of Tehran)

  • Sarvin Zamanzad-Ghavidel

    (University of Tehran)

  • Hazi Mohammad Azamathulla

    (University of the West Indies)

Abstract

Water resource management in the agricultural sector is a necessity that profoundly impacts water resources conservation for future generations. With the aim of rivers water abstraction (RWA) estimating for agricultural uses, the current research was implemented, in Hashtgerd and Zarand-Saveh sub-catchments of Iran; classified in Csa and Bsk-Csa climate categories with water scarcity situation. The RWA variables were estimated based on morphological, hydrological, and land-use characteristics and their combinations. Estimation of RWA was operated by applying single and integrated-wavelet (integrated-W with noise reduction) soft-computing methods, including Artificial Neural Networks (ANNs), Wavelet-ANN (WANNs), Adaptive Neural Fuzzy Inference System (ANFIS), Wavelet-ANFIS (WANFIS), Gene Expression Programming (GEP), and Wavelet-GEP (WGEP). The WGEP model's efficiency with the hybrid characteristics of river width (RW), river depth (RD), minimum flow rate (QMin), maximum flow rate (QMax), average flow rate (QMean), cultivated area (CA), and orchard area (OA) variables, was recommended as the best model to estimate RWA variables without climate conditions' effects. The obtained values of RMSE for hybrid characteristic of WGEP models were 26.310 and 61.256 (*103 m3), for estimating RWA in Hashtgerd and Zarand-Saveh, respectively. The efficiencies of WGEP were excellent (R > 0.900) in the estimation of RWA in both climatic classes for maximum extreme values. Extracting mathematical formulation as part of the study’s result profoundly impacts implementing policies related to integrated water resources management (IWRM). Also, the modeling of the variables affected the optimal rate of agricultural RWA for advance measures of balancing policies improvement in supply and demand of water resources in the agricultural sector, modification of cultivation patterns to save water consumption, providing food security to communities, and reforming the pattern of riverbeds that are recommended for reaching the goals of IWRM.

Suggested Citation

  • Alireza Emadi & Reza Sobhani & Hossein Ahmadi & Arezoo Boroomandnia & Sarvin Zamanzad-Ghavidel & Hazi Mohammad Azamathulla, 2022. "Multivariate modeling of agricultural river water abstraction via novel integrated-wavelet methods in various climatic conditions," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 4845-4871, April.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:4:d:10.1007_s10668-021-01637-0
    DOI: 10.1007/s10668-021-01637-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-021-01637-0
    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/s10668-021-01637-0?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. Elahi, Ehsan & Khalid, Zainab & Weijun, Cui & Zhang, Huiming, 2020. "The public policy of agricultural land allotment to agrarians and its impact on crop productivity in Punjab province of Pakistan," Land Use Policy, Elsevier, vol. 90(C).
    2. Kai Lun Chong & Sai Hin Lai & Ahmed El-Shafie, 2019. "Wavelet Transform Based Method for River Stream Flow Time Series Frequency Analysis and Assessment in Tropical Environment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2015-2032, April.
    3. Elahi, Ehsan & Weijun, Cui & Zhang, Huiming & Nazeer, Majid, 2019. "Agricultural intensification and damages to human health in relation to agrochemicals: Application of artificial intelligence," Land Use Policy, Elsevier, vol. 83(C), pages 461-474.
    4. Rimal, Bhagawat & Sharma, Roshan & Kunwar, Ripu & Keshtkar, Hamidreza & Stork, Nigel E. & Rijal, Sushila & Rahman, Syed Ajijur & Baral, Himlal, 2019. "Effects of land use and land cover change on ecosystem services in the Koshi River Basin, Eastern Nepal," Ecosystem Services, Elsevier, vol. 38(C), pages 1-1.
    5. Ahmad Khazaee Poul & Mojtaba Shourian & Hadi Ebrahimi, 2019. "A Comparative Study of MLR, KNN, ANN and ANFIS Models with Wavelet Transform in Monthly Stream Flow Prediction," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(8), pages 2907-2923, June.
    6. Ali Ahani & Mojtaba Shourian & Peiman Rahimi Rad, 2018. "Performance Assessment of the Linear, Nonlinear and Nonparametric Data Driven Models in River Flow Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(2), pages 383-399, January.
    7. Elahi, Ehsan & Weijun, Cui & Jha, Sunil Kumar & Zhang, Huiming, 2019. "Estimation of realistic renewable and non-renewable energy use targets for livestock production systems utilising an artificial neural network method: A step towards livestock sustainability," Energy, Elsevier, vol. 183(C), pages 191-204.
    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. Morice R. O. Odhiambo & Adnan Abbas & Xiaochan Wang & Ehsan Elahi, 2020. "Thermo-Environmental Assessment of a Heated Venlo-Type Greenhouse in the Yangtze River Delta Region," Sustainability, MDPI, vol. 12(24), pages 1-34, December.
    2. Dan Pan & Jiaqing Yang & Guzhen Zhou & Fanbin Kong, 2020. "The influence of COVID-19 on agricultural economy and emergency mitigation measures in China: A text mining analysis," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-20, October.
    3. Min Zhu & Haiyun Tang & Ehsan Elahi & Zainab Khalid & Kaili Wang & Nimra Nisar, 2022. "Spatial-Temporal Changes and Influencing Factors of Ecological Protection Levels in the Middle and Lower Reaches of the Yellow River," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    4. Shengnan Huang & Ehsan Elahi, 2022. "Farmers’ Preferences for Recycling Pesticide Packaging Waste: An Implication of a Discrete Choice Experiment Method," Sustainability, MDPI, vol. 14(21), pages 1-13, October.
    5. Feng Ji & Guangyuan Zhao & Lun Meng & Rana Tehseen & Fushuai Wang, 2022. "Cultivating Talents for Reporting Environmental News on China’s Carbon Neutrality Policy," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    6. Xiuli Cui & Ehsan Elahi & Zainab Khalid & Bo Xu, 2022. "Environmental Regulation, Manufacturing Technological Progress and Pollution Emissions: Empirical Evidence from China," Sustainability, MDPI, vol. 14(23), pages 1-19, December.
    7. Zhixin Zhang & Yingjie Li & Ehsan Elahi & Yameng Wang, 2022. "Comprehensive Evaluation of Agricultural Modernization Levels," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    8. Wei Sun & Junli Li & Wenxi Qu, 2022. "Sustainability evolution and factors based on ecological footprint: A case study of Rizhao, China," Growth and Change, Wiley Blackwell, vol. 53(1), pages 132-150, March.
    9. Gong, Maogang & Elahi, Ehsan, 2022. "A nexus between farmland rights, and access, demand, and amount of agricultural loan under the socialist system of China," Land Use Policy, Elsevier, vol. 120(C).
    10. Peng, Benhong & Chen, Hong & Elahi, Ehsan & Wei, Guo, 2020. "Study on the spatial differentiation of environmental governance performance of Yangtze river urban agglomeration in Jiangsu province of China," Land Use Policy, Elsevier, vol. 99(C).
    11. Elahi, Ehsan & Khalid, Zainab & Tauni, Muhammad Zubair & Zhang, Hongxia & Lirong, Xing, 2022. "Extreme weather events risk to crop-production and the adaptation of innovative management strategies to mitigate the risk: A retrospective survey of rural Punjab, Pakistan," Technovation, Elsevier, vol. 117(C).
    12. Seyed Reza Es’haghi & Hamid Karimi & Amirreza Rezaei & Pouria Ataei, 2022. "Content Analysis of the Problems and Challenges of Agricultural Water Use: A Case Study of Lake Urmia Basin at Miandoab, Iran," SAGE Open, , vol. 12(2), pages 21582440221, April.
    13. Fushuai Wang & Wenxia Cai & Ehsan Elahi, 2021. "Do Green Finance and Environmental Regulation Play a Crucial Role in the Reduction of CO 2 Emissions? An Empirical Analysis of 126 Chinese Cities," Sustainability, MDPI, vol. 13(23), pages 1-20, November.
    14. Lun Wang & Ehsan Elahi & Yuzhong Zhou & Liming Wang & Shihan Zhang, 2022. "A Review of Packaging Materials’ Consumption Regulation and Pollution Control," Sustainability, MDPI, vol. 14(23), pages 1-16, November.
    15. Xingshuai Wang & Ehsan Elahi & Zainab Khalid, 2022. "Do Green Finance Policies Foster Environmental, Social, and Governance Performance of Corporate?," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    16. Elahi, Ehsan & Zhang, Zhixin & Khalid, Zainab & Xu, Haiyun, 2022. "Application of an artificial neural network to optimise energy inputs: An energy- and cost-saving strategy for commercial poultry farms," Energy, Elsevier, vol. 244(PB).
    17. Jianjun Zhang & Jie Shi & Yan Li & Zhaoyu Li & Muhammad Awais Baloch, 2023. "Performance-Evaluation Index for Precision Poverty Alleviation in China’s Shaanxi Province," SAGE Open, , vol. 13(3), pages 21582440231, August.
    18. Guojing Li & Xinru Han & Qiyou Luo & Wenbo Zhu & Jing Zhao, 2021. "A Study on the Relationship between Income Change and the Water Footprint of Food Consumption in Urban China," Sustainability, MDPI, vol. 13(13), pages 1-16, June.
    19. Kaili Wang & Ehsan Elahi & Yuge Zhang & Di Wang & Zainab Khalid, 2022. "A Development of Green Finance and Regional Eco-Efficiency in China," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    20. Hongxia Zhang & Zixuan Sun & Ehsan Elahi & Yuge Zhang, 2021. "Internet Development, Level of Industrial Synergy, and Urban Innovation," Sustainability, MDPI, vol. 13(22), pages 1-12, November.

    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:endesu:v:24:y:2022:i:4:d:10.1007_s10668-021-01637-0. 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.