IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v32y2018i1d10.1007_s11269-017-1801-8.html
   My bibliography  Save this article

Best Management Practices Optimization at Watershed Scale: Incorporating Spatial Topology among Fields

Author

Listed:
  • Hui Wu

    (Hangzhou Dianzi University
    Smart City Research Center of Zhejiang Province)

  • A-Xing Zhu

    (Nanjing Normal University
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
    University of Wisconsin-Madison)

  • Junzhi Liu

    (Nanjing Normal University
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application)

  • Yongbo Liu

    (University of Guelph)

  • Jingchao Jiang

    (Hangzhou Dianzi University
    Smart City Research Center of Zhejiang Province)

Abstract

Best management practices (BMPs) are widely used to reduce nonpoint source pollutions. In order to obtain cost-effective BMPs configurations, optimization methods are introduced. Recent studies show that knowledge on BMP placement can be used to improve existing algorithms for BMPs optimization. However, some important knowledge has not been fully utilized yet, one of which is about the spatial topology among fields and BMPs interactions. In this paper, a new method for BMPs optimization was proposed, which incorporated knowledge of BMPs interactions into a multi-objective genetic algorithm (i.e., ε-NSGAII) based on spatial topology among fields. Then this method was applied to the BMPs optimization in a small agricultural watershed in Southern Manitoba of Canada, and the performance was compared with those of conventional method. In order to make a comprehensive comparison, experiments were conducted under different population sizes (i.e., 60, 100, and 200) and different numbers of fields (i.e., 29, 52, and 79). The results showed that the proposed method was superior to conventional method on the aspect of greater sediment reductions (2% - 17%) at the same cost, and the Pareto curves obtained by the proposed method were more complete. This study demonstrated that incorporating spatial topology among fields into BMPs optimization can lead to better results and this finding could provide valuable references to similar studies.

Suggested Citation

  • Hui Wu & A-Xing Zhu & Junzhi Liu & Yongbo Liu & Jingchao Jiang, 2018. "Best Management Practices Optimization at Watershed Scale: Incorporating Spatial Topology among Fields," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(1), pages 155-177, January.
  • Handle: RePEc:spr:waterr:v:32:y:2018:i:1:d:10.1007_s11269-017-1801-8
    DOI: 10.1007/s11269-017-1801-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-017-1801-8
    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/s11269-017-1801-8?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. Benyou Jia & Slobodan P. Simonovic & Pingan Zhong & Zhongbo Yu, 2016. "A Multi-Objective Best Compromise Decision Model for Real-Time Flood Mitigation Operations of Multi-Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3363-3387, August.
    2. Duan Chen & Qiuwen Chen & Arturo S. Leon & Ruonan Li, 2016. "A Genetic Algorithm Parallel Strategy for Optimizing the Operation of Reservoir with Multiple Eco-environmental Objectives," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(7), pages 2127-2142, May.
    3. Honghai Qi & Mustafa Altinakar, 2011. "Vegetation Buffer Strips Design Using an Optimization Approach for Non-Point Source Pollutant Control of an Agricultural Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(2), pages 565-578, January.
    4. Rabotyagov, Sergey S. & Campbell, Todd & Jha, Manoj & Gassman, Philip W. & Arnold, Jeffrey G. & Kurkalova, Lyubov A. & Secchi, Silvia & Feng, Hongli & Kling, Catherine L., 2010. "Least Cost Control of Agricultural Nutrient Contributions to the Gulf of Mexico Hypoxic Zone," Staff General Research Papers Archive 31319, Iowa State University, Department of Economics.
    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. Jinjin Gu & Yuan Cao & Min Wu & Min Song & Lin Wang, 2022. "A Novel Method for Watershed Best Management Practices Spatial Optimal Layout under Uncertainty," Sustainability, MDPI, vol. 14(20), pages 1-18, October.

    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. Shr, Yau-Huo (Jimmy) & Zhang, Wendong, 2024. "Omitted downstream attributes and the benefits of nutrient reductions: Implications for choice experiments," Ecological Economics, Elsevier, vol. 222(C).
    2. Catherine L. Kling & Yiannis Panagopoulos & Adriana Valcu-Lisman & Philip W. Gassman & Sergey Rabotyagov & Todd Campbell & Mike White & Jeffrey G. Arnold & Raghavan Srinivasan & Manoj Jha & Jeff Richa, 2014. "Land Use Model Integrating Agriculture and the Environment (LUMINATE): Linkages between Agricultural Land Use, Local Water Quality and Hypoxic Concerns in the Gulf of Mexico Basin," Center for Agricultural and Rural Development (CARD) Publications 14-wp546, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    3. Wei, Hu & Hongxuan, Zhang & Yu, Dong & Yiting, Wang & Ling, Dong & Ming, Xiao, 2019. "Short-term optimal operation of hydro-wind-solar hybrid system with improved generative adversarial networks," Applied Energy, Elsevier, vol. 250(C), pages 389-403.
    4. Marcos Geraldo Gomes & Victor Hugo Carlquist da Silva & Luiz Fernando Rodrigues Pinto & Plinio Centoamore & Salvatore Digiesi & Francesco Facchini & Geraldo Cardoso de Oliveira Neto, 2020. "Economic, Environmental and Social Gains of the Implementation of Artificial Intelligence at Dam Operations toward Industry 4.0 Principles," Sustainability, MDPI, vol. 12(9), pages 1-19, April.
    5. Reeling, Carson & Verdier, Valentin & Lupi, Frank, 2016. "Valuing Natural Resources Allocated by Dynamic Lottery," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235673, Agricultural and Applied Economics Association.
    6. AJ A. Bostian & Moriah B. Bostian & Marita Laukkanen & Antti Simola, 2020. "Assessing the productivity consequences of agri-environmental practices when adoption is endogenous," Journal of Productivity Analysis, Springer, vol. 53(2), pages 141-162, April.
    7. Gokmen Tayfur, 2017. "Modern Optimization Methods in Water Resources Planning, Engineering and Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 3205-3233, August.
    8. A. Moridi & J. Yazdi, 2017. "Optimal Allocation of Flood Control Capacity for Multi-Reservoir Systems Using Multi-Objective Optimization Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(14), pages 4521-4538, November.
    9. Yongqi Liu & Hui Qin & Li Mo & Yongqiang Wang & Duan Chen & Shusen Pang & Xingli Yin, 2019. "Hierarchical Flood Operation Rules Optimization Using Multi-Objective Cultured Evolutionary Algorithm Based on Decomposition," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(1), pages 337-354, January.
    10. repec:bla:canjag:v:58:y:2010:i:s1:p:411-431 is not listed on IDEAS
    11. Catherine L. Kling, 2011. "Economic Incentives to Improve Water Quality in Agricultural Landscapes: Some New Variations on Old Ideas," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 297-309.
    12. Chin-Hsien Yu & Bruce A. McCarl, 2018. "The Water Implications of Greenhouse Gas Mitigation: Effects on Land Use, Land Use Change, and Forestry," Sustainability, MDPI, vol. 10(7), pages 1-22, July.
    13. Yao Ji & Guo Huang & Wei Sun, 2015. "Nonpoint-Source Water Quality Management Under Uncertainty Through an Inexact Double-Sided Chance-Constrained Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3079-3094, July.
    14. Ming Hu & Guo H. Huang & Wei Sun & Xiaowen Ding & Yongping Li & Bin Fan, 2016. "Optimization and Evaluation of Environmental Operations for Three Gorges Reservoir," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3553-3576, August.
    15. Wen-jing Niu & Zhong-kai Feng & Yu-rong Li & Shuai Liu, 2021. "Cooperation Search Algorithm for Power Generation Production Operation Optimization of Cascade Hydropower Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2465-2485, June.
    16. Ji-Jian Lian & Xin-Yu Guo & Chao Ma & Kui Xu, 2019. "Optimal Reservoir Flood Control Operation Using a Hedging Model and Considering the Near-Field Vibrations Induced by Flood Release," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(8), pages 2645-2663, June.
    17. Moon, Jin-Young & Apland, Jeffrey & Folle, Solomon & Mulla, David J., 2012. "Environmental Impacts of Cellulosic Feedstock Production: A Case Study of a Cornbelt Aquifer," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125016, Agricultural and Applied Economics Association.
    18. Fatemeh Jafari & S. Jamshid Mousavi & Jafar Yazdi & Joong Hoon Kim, 2018. "Real-Time Operation of Pumping Systems for Urban Flood Mitigation: Single-Period vs. Multi-Period Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(14), pages 4643-4660, November.
    19. Catherine L. Kling & Yiannis Panagopoulos & Sergey S. Rabotyagov & Adriana M. Valcu & Philip W. Gassman & Todd Campbell & Michael J. White & Jeffrey G. Arnold & Raghavan Srinivasan & Manoj K. Jha & Je, 2014. "LUMINATE: linking agricultural land use, local water quality and Gulf of Mexico hypoxia," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(3), pages 431-459.
    20. Mohammed Falah Allawi & Othman Jaafar & Mohammad Ehteram & Firdaus Mohamad Hamzah & Ahmed El-Shafie, 2018. "Synchronizing Artificial Intelligence Models for Operating the Dam and Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3373-3389, August.
    21. Katakam V SeethaRam, 2021. "Three Level Rule Curve for Optimum Operation of a Multipurpose Reservoir using Genetic Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 353-368, January.

    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:waterr:v:32:y:2018:i:1:d:10.1007_s11269-017-1801-8. 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.