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Application of modified export coefficient model to estimate nitrogen and phosphorus pollutants from agricultural non-point source

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Abstract

There is a great uncertainty in generation and formation of non-point source (NPS) pollutants, which leads to difficulties in the investigation of monitoring and control. However, accurate calculation of these pollutant loads is closely correlated to control NPS pollutants in agriculture. In addition, the relationships between pollutant load and human activity and physiographic factor remain elusive. In this study, a modified model with the whole process of agricultural NPS pollutant migration was established by introducing factors including rainfall driving, terrain impact, runoff index, leaching index and landscape intercept index for the load calculation. Partial least squares path modeling was applied to explore the interactions between these factors. The simulation results indicated that the average total nitrogen (TN) load intensity was 0.57 t km−2 and the average total phosphorus (TP) load intensity was 0.01 t km−2 in Chengdu Plain. The critical effects identified in this study could provide useful guidance to NPS pollution control. These findings further our understanding of the NPS pollution control in agriculture and the formulation of sustainable preventive measures.

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References

  • Aschmann S G, Anderson D P, Croft R J et al., 1999. Using a watershed nutrient dynamics model, WEND, to address watershed-scale nutrient management challenges. Journal of Soil and Water Conservation, 54(4): 630–635.

    Google Scholar 

  • Auerswald K, Haider J, 1996. Runoff curve numbers for small grain under German cropping conditions. Journal Environmental Management, 47(3): 223–228.

    Article  Google Scholar 

  • Ba W L, Du P F, Liu T et al., 2020. Impacts of climate change and agricultural activities on water quality in the Lower Kaidu River Basin, China. Journal of Geographical Sciences, 30(1): 164–176.

    Article  Google Scholar 

  • Babaei M, Tayemeh M B, Jo M S et al., 2022. Trophic transfer and toxicity of silver nanoparticles along a phyto-plankton-zooplankton-fish food chain. Science of The Total Environment, 842: 156807.

    Article  Google Scholar 

  • Bowes M J, Smith J T, Jarvie H P et al., 2008. Modelling of phosphorus inputs to rivers from diffuse and point sources. Science of The Total Environment, 395(2/3): 125–138.

    Article  Google Scholar 

  • Braskerud B C, 2002. Factors affecting nitrogen retention in small constructed wetlands treating agricultural non-point source pollution. Ecological Engineering, 18(3): 351–370.

    Article  Google Scholar 

  • Caraco N F, Cole J J, 2001. Human influence on nitrogen export: A comparison of mesic and xeric catchments. Marine and Freshwater Research, 52(1): 119–125.

    Article  Google Scholar 

  • Chen H Y, Teng Y G, Wang J S, 2013. Load estimation and source apportionment of nonpoint source nitrogen and phosphorus based on integrated application of SLURP model, ECM, and RUSLE: A case study in the Jinjiang River, China. Environmental Monitoring and Assessment, 185: 2009–2021.

    Article  Google Scholar 

  • Chen Y, Lu B B, Xu C Y et al., 2022. Uncertainty evaluation of best management practice effectiveness based on the AnnAGNPS model. Water Resources Management, 36: 1307–1321.

    Article  Google Scholar 

  • Cheng X, Chen L D, Sun R H et al., 2018. An improved export coefficient model to estimate non-point source phosphorus pollution risks under complex precipitation and terrain conditions. Environmental Science and Pollution Research, 25: 20946–20955.

    Article  Google Scholar 

  • Delgado J A, Shaffer M, Hu C et al., 2008. An index approach to assess nitrogen losses to the environment. Ecological Engineering, 32(2): 108–120.

    Article  Google Scholar 

  • Delkash M, Al-Faraj F A M, Scholz M, 2014. Comparing the export coefficient approach with the soil and water assessment tool to predict phosphorous pollution: The Kan watershed case study. Water, Air, & Soil Pollution, 225: 2122.

    Article  Google Scholar 

  • Ding X W, 2010. The simulation research on agricultural non-point source pollution in Yongding River in Hebei province. Procedia Environmental Sciences, 2: 1770–1774.

    Article  Google Scholar 

  • Ding X W, Shen Z Y, Hong Q et al., 2010. Development and test of the export coefficient model in the upper reach of the Yangtze River. Journal of Hydrology, 383(3): 233–244.

    Article  Google Scholar 

  • Duchemin M, Hogue R, 2009. Reduction in agricultural non-point source pollution in the first year following establishment of an integrated grass/tree filter strip system in southern Quebec (Canada). Agriculture, Ecosystems & Environment, 131(1/2): 85–97.

    Article  Google Scholar 

  • Feng Z H, Xu C J, Zuo Y P et al., 2023a. Analysis of water quality indexes and their relationships with vegetation using self-organizing map and geographically and temporally weighted regression. Environmental Research, 216: 114587.

    Article  Google Scholar 

  • Feng Z H, Zhang Z W, Zuo Y P et al., 2023b. Analysis of long term water quality variations driven by multiple factors in a typical basin of Beijing-Tianjin-Hebei region combined with neural networks. Journal of Cleaner Production, 382: 135367.

    Article  Google Scholar 

  • Follett R F, Delgado J A, 2002. Nitrogen fate and transport in agricultural systems. Journal of Soil and Water Conservation, 57(6): 402–408.

    Google Scholar 

  • García-Pintado J, Martínez-Mena M, Barberá G G et al., 2007. Anthropogenic nutrient sources and loads from a Mediterranean catchment into a coastal lagoon: Mar Menor, Spain. Science of The Total Environment, 373(1): 220–239.

    Article  Google Scholar 

  • Geng R Z, Wang X Y, Pang S J et al., 2016. Identification of key factors and zonation for nonpoint source pollution control in Chaohe River watershed. China Environmental Science, 36(4): 1258–1267. (in Chinese)

    Google Scholar 

  • Getis A, Ord J K, 1992. The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3): 189–206.

    Article  Google Scholar 

  • Gruber N, Galloway J N, 2008. An earth-system perspective of the global nitrogen cycle. Nature, 451: 293–296.

    Article  Google Scholar 

  • Guo H Y, Wang X R, Zhu J G, 2004. Quantification and index of non-point source pollution in Taihu Lake Region with GIS. Environmental Geochemistry and Health, 26: 147–156.

    Article  Google Scholar 

  • Hoppe H, Weilandt M, Orth H, 2004. A combined water management approach based on river water quality standards. Journal of Environmental Informatics, 3(2): 67–76.

    Article  Google Scholar 

  • Hou L, Zhou Z Y, Wang R Y et al., 2022. Research on the non-point source pollution characteristics of important drinking water sources. Water, 14(2): 211.

    Article  Google Scholar 

  • Hou W J, Gao J B, 2019. Simulating runoff generation and its spatial correlation with environmental factors in Sancha River Basin: The southern source of the Wujiang River. Journal of Geographical Sciences, 29(3): 432–448.

    Article  Google Scholar 

  • Hou X N, Xu Z, Tang C H et al., 2021. Spatial distributions of nitrogen and phosphorus losses in a basin and responses to best management practices: Jialing River Basin case study. Agricultural Water Management, 255: 107048.

    Article  Google Scholar 

  • Hou Y, Chen W P, Liao Y H et al., 2017. Modelling of the estimated contributions of different sub-watersheds and sources to phosphorous export and loading from the Dongting Lake watershed, China. Environmental Monitoring and Assessment, 189: 602.

    Article  Google Scholar 

  • Ierodiaconou D, Laurenson L, Leblanc M et al., 2005. The consequences of land use change on nutrient exports: A regional scale assessment south-west Victoria, Australia. Journal of Environmental Management, 74(4): 305–316.

    Article  Google Scholar 

  • Johnes P J, 1996. Evaluation and management of the impact of land use change on the nitrogen and phosphorus load delivered to surface waters: The export coefficient modelling approach. Journal of Hydrology, 183(3/4): 323–349.

    Article  Google Scholar 

  • Karr J R, Schlosser I J, 1978. Water resources and the land-water interface: Water resources in agricultural watersheds can be improved by effective multidisciplinary planning. Science, 201(4352): 229–234.

    Article  Google Scholar 

  • Kiese R, Heinzeller C, Werner C et al., 2011. Quantification of nitrate leaching from German forest ecosystems by use of a process oriented biogeochemical model. Environmental Pollution, 159(11): 3204–3214.

    Article  Google Scholar 

  • Li H P, Liu X M, Huang W Y, 2004. The non-point output of different agriculture landuse types in Zhexi hydraulic region of Taihu Basin. Journal of Geographical Sciences, 14(2): 151–158.

    Article  Google Scholar 

  • Li M, Peng J Y, Lu Z X et al., 2023. Research progress on carbon sources and sinks of farmland ecosystems. Resources, Environment and Sustainability, 11: 100099.

    Article  Google Scholar 

  • Li S S, Zhang L, Du Y et al., 2016. Evaluating phosphorus loss for watershed management: Integrating a weighting scheme of watershed heterogeneity into export coefficient model. Environmental Modeling & Assessment, 21: 657–668.

    Article  Google Scholar 

  • Li X T, Liang R F, Li Y et al., 2021. Microplastics in inland freshwater environments with different regional functions: A case study on the Chengdu Plain. Science of The Total Environment, 789: 147938.

    Article  Google Scholar 

  • Li Y, Wang C, Tang H L, 2006. Research advances in nutrient runoff on sloping land in watersheds. Aquatic Ecosystem Health & Management, 9(1): 27–32.

    Article  Google Scholar 

  • Liu B B, Liu H, Zhang B et al., 2013. Modeling nutrient release in the Tai Lake Basin of China: Source identification and policy implications. Environmental Management, 51: 724–737.

    Article  Google Scholar 

  • López-Ballesteros A, Trolle D, Srinivasan R et al., 2023. Assessing the effectiveness of potential best management practices for science-informed decision support at the watershed scale: The case of the Mar Menor coastal lagoon, Spain. Science of The Total Environment, 859: 160114.

    Article  Google Scholar 

  • Mattikalli N M, Richards K S, 1996. Estimation of surface water quality changes in response to land use change: Application of the export coefficient model using remote sensing and geographical information system. Journal of Environmental Management, 48(3): 263–282.

    Article  Google Scholar 

  • Noto L V, Ivanov V Y, Bras R L et al., 2008. Effects of initialization on response of a fully-distributed hydrologic model. Journal of Hydrology, 352(1/2): 107–125.

    Article  Google Scholar 

  • Ongley E D, Zhang X L, Yu T, 2010. Current status of agricultural and rural non-point source pollution assessment in China. Environmental Pollution, 158(5): 1159–1168.

    Article  Google Scholar 

  • Ord J K, Getis A, 1995. Local spatial autocorrelation statistics: Distributional issues and an application. Geographical Analysis, 27(4): 286–306.

    Article  Google Scholar 

  • Parween M, Ramanathan A L, Raju N J, 2021. Assessment of toxicity and potential health risk from persistent pesticides and heavy metals along the Delhi stretch of river Yamuna. Environmental Research, 202: 111780.

    Article  Google Scholar 

  • Pilleboue E, Dorioz J M, 1986. Mass-balance and transfer mechanisms of phosphorus in a rural watershed of Lac Leman, France. Sediments and Water Interactions, 9: 99–102.

    Google Scholar 

  • R Core Team, 2019. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.

  • Risal A, Parajuli P B, Ouyang Y, 2022. Impact of BMPs on water quality: A case study in Big Sunflower River watershed, Mississippi. International Journal of River Basin Management, 20(3): 375–388.

    Article  Google Scholar 

  • Roberts W M, Stutter M I, Haygarth P M, 2012. Phosphorus retention and remobilization in vegetated buffer strips: A review. Journal of Environmental Quality, 41(2): 389–399.

    Article  Google Scholar 

  • Sanchez G, Trinchera L, Russolillo G, 2017. plspm: tools for partial least squares path modeling (PLS-PM). R package version 0.4.9. https://CRAN.R-project.org/package=plspm.

  • Shen Z Y, Hong Q H, Chu Z et al., 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, 98(6): 977–989.

    Article  Google Scholar 

  • Shen Z Y, Hong Q, Yu H et al., 2008. Parameter uncertainty analysis of the non-point source pollution in the Daning River watershed of the Three Gorges Reservoir Region, China. Science of The Total Environment, 405(1–3): 195–205.

    Article  Google Scholar 

  • Stalnacke P, Grimvall A, Sundblad K et al., 1999. Estimation of riverine loads of nitrogen and phosphorus to the Baltic Sea, 1970–1993. Environmental Monitoring and Assessment, 58: 173–200.

    Article  Google Scholar 

  • Syversen N, 2005. Effect and design of buffer zones in the Nordic climate: The influence of width, amount of surface runoff, seasonal variation and vegetation type on retention efficiency for nutrient and particle runoff. Ecological Engineering, 24(5): 483–490.

    Article  Google Scholar 

  • The Office of the Leading Group on the First National Census on Pollution Sources, 2008. Handbook on the First National Census on Pollution Sources. Report, China’s State Council, Beijing.

    Google Scholar 

  • Tomer M D, Meek D W, Jaynes D B et al., 2003. Evaluation of nitrate nitrogen fluxes from a tile-drained watershed in central Iowa. Journal of Environmental Quality, 32(2): 642–653.

    Google Scholar 

  • Uusi-Kämppä J, Braskerud B, Jansson H et al., 2000. Buffer zones and constructed wetlands as filters for agricultural phosphorus. Journal of Environmental Quality, 29(1): 151–158.

    Article  Google Scholar 

  • Wang J L, Shao J A, Wang D et al., 2015. Simulation of the dissolved nitrogen and phosphorus loads in different land uses in the Three Gorges Reservoir region: Based on the improved export coefficient model. Environmental Science: Processes & Impacts, 17(11): 1976–1989.

    Google Scholar 

  • Wang J L, Shao J A, Wang D et al., 2016. Identification of the “source” and “sink” patterns influencing non-point source pollution in the Three Gorges Reservoir area. Journal of Geographical Sciences, 26(10): 1431–1448.

    Article  Google Scholar 

  • Williams J R, LaSeur W V, 1976. Water yield model using SCS curve numbers. Journal of the Hydraulics Division, 102(9): 1241–1253.

    Article  Google Scholar 

  • Wischmeier W H, Johnson C B, Cross B, 1971. Soil erodibility nomograph for farmland and construction sites. Journal of Soil and Water Conservation, 26(5): 189–193.

    Google Scholar 

  • Wu L, Gao J E, Ma X Y et al., 2015. Application of modified export coefficient method on the load estimation of non-point source nitrogen and phosphorus pollution of soil and water loss in semiarid regions. Environmental Science and Pollution Research, 22: 10647–10660.

    Article  Google Scholar 

  • Young W J, Marston F M, Davis R J, 1996. Nutrient export and land use in Australian catchments. Journal of Environmental Management, 47(2): 165–183.

    Article  Google Scholar 

  • Yuan C C, Liu L M, Ye J W et al., 2017. Assessing the effects of rural livelihood transition on non-point source pollution: A coupled ABM-IECM model. Environmental Science and Pollution Research, 24(14): 12899–12917.

    Article  Google Scholar 

  • Yuan Z W, Pang Y J, Gao J Q et al., 2021. Improving quantification of rainfall runoff pollutant loads with consideration of path curb and field ridge. Resources, Environment and Sustainability, 6: 100042.

    Article  Google Scholar 

  • Zhang H, Huang G H, 2011. Assessment of non-point source pollution using a spatial multicriteria analysis approach. Ecological Modelling, 222(2): 313–321.

    Article  Google Scholar 

  • Zhang L G, Wang Z Q, Chai J et al., 2019. Temporal and spatial changes of non-point source N and P and its decoupling from agricultural development in water source area of middle route of the south-to-north water diversion project. Sustainability, 11(3): 895.

    Article  Google Scholar 

  • Zhang X Y, Liu X M, Zhang M H et al., 2010. A review of vegetated buffers and a meta-analysis of their mitigation efficacy in reducing nonpoint source pollution. Journal of Environmental Quality, 39(1): 76–84.

    Article  Google Scholar 

  • Ziegler A D, Tran L T, Giambelluca T W et al., 2006. Effective slope lengths for buffering hillslope surface runoff in fragmented landscapes in northern Vietnam. Forest Ecology and Management, 224(1/2): 104–118.

    Article  Google Scholar 

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Authors and Affiliations

  1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China

    Xiaoyuan Zhao, Xiaojie Liu, Qian Zhang & Lingqing Wang

  2. Changjiang Institute of Survey, Planning, Design and Research Co., Ltd., Wuhan, 430010, China

    Zhongwei Zhang, Hao Chen, Guangcheng Xiong, Yuru Liu & Qiang Tang

  3. Environmental Science Program, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, 519080, China

    Huada Daniel Ruan

  4. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China

    Xiaoyuan Zhao, Xiaojie Liu, Qian Zhang & Lingqing Wang

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  1. Xiaoyuan Zhao
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  2. Zhongwei Zhang
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  3. Xiaojie Liu
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Correspondence to Xiaojie Liu.

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Foundation: Key Research and Development Program of Hubei Province, No.2020BCA073; Independent Innovation Research Program of Changjiang Institute of Survey, Planning, Design and Research Co., Ltd., No.CX2019Z05

Author: Zhao Xiaoyuan (2000–), Master Candidate, specialized in watershed management.

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Application of modified export coefficient model to estimate nitrogen and phosphorus pollutants from agricultural non-point source

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Zhao, X., Zhang, Z., Liu, X. et al. Application of modified export coefficient model to estimate nitrogen and phosphorus pollutants from agricultural non-point source. J. Geogr. Sci. 33, 2094–2112 (2023). https://doi.org/10.1007/s11442-023-2167-x

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