IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v116y2013icp79-88.html
   My bibliography  Save this article

An inversed Bayesian modeling approach for estimating nitrogen export coefficients and uncertainty assessment in an agricultural watershed in eastern China

Author

Listed:
  • Lu, Jun
  • Gong, Dongqin
  • Shen, Yena
  • Liu, Mei
  • Chen, Dingjiang

Abstract

Quantification information for nonpoint source pollution is required to develop a Total Maximum Daily Load (TMDL) at the watershed scale. All export coefficient models and some complex mechanistic models rely on the pollutant export coefficients to quantify and identify nonpoint source pollution. Typically, pollutant export coefficients are estimated by monitoring field plots or small catchments with a single land-use or by monitoring and statistically analyzing mixed land-use watersheds. However, these approaches underestimate export coefficients by neglecting in-stream pollutant retention and they also neglect spatio-temporal variability for export coefficients within a watershed. In addition, these methods do not address the uncertainty associated with estimations. This study combined the export coefficient model, a stream pollutant load model and a Bayesian statistical method to inversely estimate pollutant export coefficients for multiple land-use types from commonly available stream monitoring data. The efficacy of this inversed Bayesian modeling approach was confirmed by determining total nitrogen (TN) export coefficients for farmland, residential land and woodland for six catchments of the ChangLe River watershed in eastern China covering 72 field observation dates in 2004–2009. In-stream retention processes were considered in estimating TN export coefficients. The temporal (across 72 field observation dates) and spatial (across 6 catchments) variability of TN export coefficients for each land-use type within the watershed are discussed, as well as the uncertainties associated with TN export coefficient estimation. This inversed Bayesian modeling approach overcomes the shortcomings involved in current widely used approaches for estimating pollutant export coefficients; thus it can more efficiently support development of TMDL programs, particularly in circumstance where limited data are available.

Suggested Citation

  • Lu, Jun & Gong, Dongqin & Shen, Yena & Liu, Mei & Chen, Dingjiang, 2013. "An inversed Bayesian modeling approach for estimating nitrogen export coefficients and uncertainty assessment in an agricultural watershed in eastern China," Agricultural Water Management, Elsevier, vol. 116(C), pages 79-88.
    • Handle: RePEc:eee:agiwat:v:116:y:2013:i:c:p:79-88
    DOI: 10.1016/j.agwat.2012.10.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377412002624
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2012.10.015?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. Zhao, G.J. & Hörmann, G. & Fohrer, N. & Li, H.P. & Gao, J.F. & Tian, K., 2011. "Development and application of a nitrogen simulation model in a data scarce catchment in South China," Agricultural Water Management, Elsevier, vol. 98(4), pages 619-631, February.
    2. Ullrich, Antje & Volk, Martin, 2009. "Application of the Soil and Water Assessment Tool (SWAT) to predict the impact of alternative management practices on water quality and quantity," Agricultural Water Management, Elsevier, vol. 96(8), pages 1207-1217, August.
    3. Richard B. Alexander & Richard A. Smith & Gregory E. Schwarz, 2000. "Effect of stream channel size on the delivery of nitrogen to the Gulf of Mexico," Nature, Nature, vol. 403(6771), pages 758-761, February.
    4. Shen, Zhenyao & Hong, Qian & Chu, Zheng & Gong, Yongwei, 2011. "A framework for priority non-point source area identification and load estimation integrated with APPI and PLOAD model in Fujiang Watershed, China," Agricultural Water Management, Elsevier, vol. 98(6), pages 977-989, April.
    5. Kang, M.S. & Park, S.W. & Lee, J.J. & Yoo, K.H., 2006. "Applying SWAT for TMDL programs to a small watershed containing rice paddy fields," Agricultural Water Management, Elsevier, vol. 79(1), pages 72-92, January.
    6. Robinson, Timothy H. & Leydecker, Al & Keller, Arturo A. & Melack, John M., 2005. "Steps towards modeling nutrient export in coastal Californian streams with a Mediterranean climate," Agricultural Water Management, Elsevier, vol. 77(1-3), pages 144-158, August.
    7. Fernandez, G.P. & Chescheir, G.M. & Skaggs, R.W. & Amatya, D.M., 2006. "DRAINMOD-GIS: A lumped parameter watershed scale drainage and water quality model," Agricultural Water Management, Elsevier, vol. 81(1-2), pages 77-97, March.
    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. Zhang, Y.M. & Lu, H.W. & Nie, X.H. & He, L. & Du, P., 2014. "An interactive inexact fuzzy bounded programming approach for agricultural water quality management," Agricultural Water Management, Elsevier, vol. 133(C), pages 104-111.
    2. Ning Ding & Jingfeng Zhu & Xiao Li & Xiangrong Wang, 2021. "Spatiotemporal Dynamics of Nitrogen Budgets under Anthropogenic Activities in Metropolitan Areas," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    3. De Girolamo, Anna Maria & Spanò, Marinella & D’Ambrosio, Ersilia & Ricci, Giovanni Francesco & Gentile, Francesco, 2019. "Developing a nitrogen load apportionment tool: Theory and application," Agricultural Water Management, Elsevier, vol. 226(C).

    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. Jeong, Hanseok & Kim, Hakkwan & Jang, Taeil & Park, Seungwoo, 2016. "Assessing the effects of indirect wastewater reuse on paddy irrigation in the Osan River watershed in Korea using the SWAT model," Agricultural Water Management, Elsevier, vol. 163(C), pages 393-402.
    2. M. Dedewanou & S. Binet & J. Rouet & Y. Coquet & A. Bruand & H. Noel, 2015. "Groundwater Vulnerability and Risk Mapping Based on Residence Time Distributions: Spatial Analysis for the Estimation of Lumped Parameters," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5489-5504, December.
    3. Weili Duan & Bin He & Daniel Nover & Guishan Yang & Wen Chen & Huifang Meng & Shan Zou & Chuanming Liu, 2016. "Water Quality Assessment and Pollution Source Identification of the Eastern Poyang Lake Basin Using Multivariate Statistical Methods," Sustainability, MDPI, vol. 8(2), pages 1-15, January.
    4. Coffey, R. & Cummins, E. & Bhreathnach, N. & Flaherty, V.O. & Cormican, M., 2010. "Development of a pathogen transport model for Irish catchments using SWAT," Agricultural Water Management, Elsevier, vol. 97(1), pages 101-111, January.
    5. Liem Tran & Robert O’Neill & Elizabeth Smith & Randall Bruins & Carol Harden, 2013. "Application of Hierarchy Theory to Cross-Scale Hydrologic Modeling of Nutrient Loads," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1601-1617, March.
    6. Marko Reljić & Marija Romić & Davor Romić & Gordon Gilja & Vedran Mornar & Gabrijel Ondrasek & Marina Bubalo Kovačić & Monika Zovko, 2023. "Advanced Continuous Monitoring System—Tools for Water Resource Management and Decision Support System in Salt Affected Delta," Agriculture, MDPI, vol. 13(2), pages 1-19, February.
    7. Zhang, Dejian & Chen, Xingwei & Yao, Huaxia & Lin, Bingqing, 2015. "Improved calibration scheme of SWAT by separating wet and dry seasons," Ecological Modelling, Elsevier, vol. 301(C), pages 54-61.
    8. Ashok Mishra & S. Kar & V. Singh, 2007. "Prioritizing Structural Management by Quantifying the Effect of Land Use and Land Cover on Watershed Runoff and Sediment Yield," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(11), pages 1899-1913, November.
    9. Wang, Chunying & Jiang, Rui & Boithias, Laurie & Sauvage, Sabine & Sánchez-Pérez, José-Miguel & Mao, Xiaomin & Han, Yuping & Hayakawa, Atsushi & Kuramochi, Kanta & Hatano, Ryusuke, 2016. "Assessing potassium environmental losses from a dairy farming watershed with the modified SWAT model," Agricultural Water Management, Elsevier, vol. 175(C), pages 91-104.
    10. Jinfeng Yang & Xuelei Wang & Xinrong Li & Zhuang Tian & Guoyuan Zou & Lianfeng Du & Xuan Guo, 2023. "Potential Risk Identification of Agricultural Nonpoint Source Pollution: A Case Study of Yichang City, Hubei Province," Sustainability, MDPI, vol. 15(23), pages 1-14, November.
    11. Xuedong Liang & Dongyang Si & Jing Xu, 2018. "Quantitative Evaluation of the Sustainable Development Capacity of Hydropower in China Based on Information Entropy," Sustainability, MDPI, vol. 10(2), pages 1-18, February.
    12. Kaixin Jiang & Shuhong Mo & Kunxia Yu & Pingzhi Li & Zhanbin Li, 2023. "Analysis of Spatial and Temporal Characteristics of Runoff Erosion Power in Fujiang River Basin Based on the SWAT Model," Sustainability, MDPI, vol. 15(21), pages 1-18, November.
    13. Nina Zarrineh & Karim C. Abbaspour & Ann Van Griensven & Bernard Jeangros & Annelie Holzkämper, 2018. "Model-Based Evaluation of Land Management Strategies with Regard to Multiple Ecosystem Services," Sustainability, MDPI, vol. 10(11), pages 1-21, October.
    14. Wei Yan & Xuejun Duan & Jiayu Kang & Zhiyuan Ma, 2023. "Assessing the Impact of Rural Multifunctionality on Non-Point Source Pollution: A Case Study of Typical Hilly Watershed, China," Land, MDPI, vol. 12(10), pages 1-17, October.
    15. Shang, Xiao & Wang, Xinze & Zhang, Dalei & Chen, Weidong & Chen, Xuechu & Kong, Hainan, 2012. "An improved SWAT-based computational framework for identifying critical source areas for agricultural pollution at the lake basin scale," Ecological Modelling, Elsevier, vol. 226(C), pages 1-10.
    16. Junyu Qi & Sheng Li & Qiang Li & Zisheng Xing & Charles P.-A. Bourque & Fan-Rui Meng, 2016. "Assessing an Enhanced Version of SWAT on Water Quantity and Quality Simulation in Regions with Seasonal Snow Cover," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5021-5037, November.
    17. Lescot, Jean-Marie & Bordenave, Paul & Leccia, Odile & Petit, Kevin, 2013. "Contrôle des pollutions diffuses par les pesticides. Une approche coût-efficacité spatialement distribuée," Économie rurale, French Society of Rural Economics (SFER Société Française d'Economie Rurale), vol. 333(January-F).
    18. Ali, Riasat & Viney, Neil R. & Hodgson, Geoff & Aryal, Santosh & Dawes, Warrick, 2012. "Modelling the impact of subcatchment and regional scale drainage in the Blackwood Basin, Western Australia," Agricultural Water Management, Elsevier, vol. 115(C), pages 252-266.
    19. Greenhalgh, Suzie & Faeth, Paul, 2001. "A Water Quality Strategy For The Mississippi River Basin And The Gulf Of Mexico," 2001 Annual meeting, August 5-8, Chicago, IL 20528, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Ricci, Giovanni Francesco & D’Ambrosio, Ersilia & De Girolamo, Anna Maria & Gentile, Francesco, 2022. "Efficiency and feasibility of Best Management Practices to reduce nutrient loads in an agricultural river basin," Agricultural Water Management, Elsevier, vol. 259(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:eee:agiwat:v:116:y:2013:i:c:p:79-88. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.