Skip to main content

Advertisement

Log in

Identifying the critical areas and primary sources for agricultural non-point source pollution management of an emigrant town within the Three Gorges reservoir area

  • Research
  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

Agricultural non-point source pollution is threatening water environmental health of the Three Gorges reservoir. However, current studies for precision management of the agricultural non-point source pollution within this area are still limited. The objective of this study was identifying the critical areas and primary sources of agricultural non-point source pollution for precision management. Firstly, the inventory analysis approach was used to estimate the discharge amount of total nitrogen (TN), total phosphorus (TP), and chemical oxygen demand (COD) from farmland fertilizer, crop residues, livestock breeding, and daily activities. Afterwards, the deviation standardization method was applied to evaluate the emission intensity of TN, TP, and COD, as well as calculating the comprehensive pollution index (CPI) of each village, based on which the critical areas for agricultural non-point source pollution management could be distinguished. Moreover, the equivalence pollution load method was conducted to identify the primary pollution sources within each critical zone. The above methods were implemented to an emigrant town within the Three Gorges reservoir area named Gufu. Results showed that agricultural non-point source pollution in Gufu town has been alleviated to a certain extent since 2016. Nevertheless, in four areas of the town (i.e., Longzhu, Fuzi, Shendu, and Maicang), the agricultural non-point source pollution still deserved attention and improvement. For the mentioned critical areas, farmland fertilizer and livestock breeding were the primary sources causing agricultural non-point source pollution. The emission amount of TN and TP from farmland fertilizer accounted for 60% and 48% of the total, respectively. And those from livestock breeding were 29% and 46%. Our research could provide definite targets to relieve agricultural non-point source pollution, which had great significance to protect water environment while coordinating regional economic growth after emigrant resettlement.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Data availability

The data that support the findings of this study are available from the corresponding author, [zhusjiang@aliyun.com], upon reasonable request.

References

  • Arnold, J. G., Srinivasan, R., Muttiah, R. S., & Williams, J. R. (1998). Large area hydrologic modeling and assessment part I: Model Development. Journal of the American Water Resources Association, 34, 73–89.

    Article  CAS  Google Scholar 

  • Ator, S. W., Blomquist, J. D., Webber, J. S., & Chanat, J. G. (2020). Factors driving nutrient trends in streams of the Chesapeake Bay Watershed. Journal of Environmental Quality, 49(4), 812–834.

    Article  CAS  Google Scholar 

  • Behera, S., & Panda, R. K. (2006). Evaluation of management alternatives for an agricultural watershed in a sub-humid subtropical region using a physical process based model. Agriculture, Ecosystems & Environment, 113(1–4), 62–72.

    Article  Google Scholar 

  • Bingner, R. L., Theurer, F. D. (2001). Topographic factors for RUSLE in the continuous-simulation, watershed model for predicting agricultural, non-point source pollutants (AnnAGNPS). In Proceedings of the Soil Erosion for the 21st Century-An International Symposium, Honolulu, HI, USA, 3–5.

  • Chen, L., Li, J. Q., Xu, J. J., Liu, G. W. C., Wang, W. Z., Jiang, J., & Shen, Z. Y. (2022). New framework for nonpoint source pollution management based on downscaling priority management areas. Journal of Hydrology, 606, 127433.

    Article  Google Scholar 

  • Chen, M. J., Janssen, A. B. G., de Klein, J. J. M., Du, X. Z., Lei, Q. L., Li, Y., Zhang, T. P., Pei, W., Kroeze, C., & Liu, H. B. (2023). Comparing critical source areas for the sediment and nutrients of calibrated and uncalibrated models in a plateau watershed in southwest China. Journal of Environmental Management, 326, 116712.

    Article  CAS  Google Scholar 

  • Dickinson, W. T., Rudra, R. P., & Wall, G. J. (1990). Targeting remedial measures to control non point source pollution. Water Resources Bulletin AWRA26(3), 499–507.

  • Ding, Y., Dong, F., Zhao, J. Y., Peng, W. Q., Chen, Q. C., & Ma, B. (2020). Non-point source pollution simulation and best management practices analysis based on control units in Northern China. International Journal of Environmental Research and Public Health, 17(3), 868.

    Article  CAS  Google Scholar 

  • Dong, F., Liu, Y., Wu, Z., Chen, Y., & Guo, H. (2018). Identification of watershed priority management areas under water quality constraints: a simulation-optimization approach with ideal load reduction. Journal of Hydrology, 562, 577–588.

    Article  CAS  Google Scholar 

  • Fleming, P., Lichtenberg, E., & Newburn, D. A. (2018). Evaluating impacts of agricultural cost sharing on water quality: additionality, crowding in, and slippage. Journal of Environmental Economics and Management, 92, 1–19.

    Article  Google Scholar 

  • Ghebremichael, L. T., Veith, T. L., & Hamlett, J. M. (2013). Integrated watershed- and farm-scale modeling framework for targeting critical source areas while maintaining fram economic viability. Journal of Environmental Management, 114, 381–394.

    Article  Google Scholar 

  • Ghebremichael, L. T., Veith, T. L., & Watzin, M. C. (2010). Determination of critical source areas for phosphorus loss: Lake Champlain Basin, Vermont. Transactions of the ASABE, 53, 1595–1604.

    Article  CAS  Google Scholar 

  • Giri, S., Nejadhashemi, A. P., & Woznicki, S. A. (2012). Evaluating of targeting methods for implementation of best management practices in the Saginaw River watershed. Journal of Environmental Management, 103, 24–40.

    Article  CAS  Google Scholar 

  • Grossweiler, B., Wesström, I., Villazón, M., & Joel, A. (2021). Impact of land use change on non-point source pollution in a semi-arid catchment under rapid urbanization in Bolivia. Water, 13, 410.

    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(2), 147–156.

    Article  CAS  Google Scholar 

  • Hoang, L., Mukundan, R., Moore, K. E. B., Owens, E. M., & Steenhui, T. S. (2019). Phosphorus reduction in the New York city water supply system: a water-quality success story confirmed with data and modelling. Ecological Engineering, 135, 75–88.

    Article  Google Scholar 

  • Hou, L., Zhou, Z. Y., Wang, R. Y., Li, J. X., Dong, F., & Liu, J. Q. (2022). Research on the non-point source pollution characteristic of important drinking water sources. Water, 14(2), 211.

    Article  CAS  Google Scholar 

  • Karst-Riddoch, T. (2014). Managing new urban development in phosphorus sensitive watersheds. ON, Canada: Hutchinson Environmental Sciences Ltd.

    Google Scholar 

  • Keisman, J., Blomquist, J., Bohlke, J. K., Davis-Martin, J., Dennison, W., Friendrichs, C., Murphy, R., Phillips, S., Testa, J., Trentacoste, E., Weller, D. (2018). Integrating recent findings to explain water quality change: Support for the mid-point assessment and beyond. Section I: Insights from USGS Monitoring and Analysis of the Chesapeake Bay Watershed. STAC publ. Number 18–005.

  • Li, C. H., Wang, Y. K., Ye, C., Wei, W. W., Zheng, B. H., & Xu, B. (2019). A proposed delineation method for lake buffer zones in watersheds dominated by non-point source pollution. Science of the Total Environment, 660, 32–39.

    Article  CAS  Google Scholar 

  • Lintern, A., McPhillips, L., Winfrey, B., Duncan, J., & Grady, C. (2020). Best management practices for diffuse nutrient pollution: wicked problems across urban and agricultural watershed. Environmental Science and Technology, 54(15), 9159–9174.

    Article  CAS  Google Scholar 

  • Mostaghimi, S., Park, S. W., Cooke, R. A., & Wang, S. Y. (1997). Assessment of management alternatives on a small agricultural watershed. Water Research, 31(8), 1867–1878.

    Article  CAS  Google Scholar 

  • Niralua, R., Kalin, L., Srivastava, P., & Anderson, C. J. (2013). Identifying critical source areas of nonpoint source pollution with SWAT and GWLE. Ecological Modelling, 268(24), 123–133.

    Article  Google Scholar 

  • Ramesh, P. R., Balew, A. M., Rituraj, S., Narayan, K. S., Pradeep, K. G., Prasad, D., & Asim, B. (2020). Current status, challenges, and future directions in identifying critical source areas for non-point source pollution in Canadian conditions. Agriculture, 10, 468.

    Article  Google Scholar 

  • Rong, Q. Q., Zeng, J. N., Su, M. R., Yue, W. C., Xu, C., & Cai, Y. P. (2021). Management optimization of non-point source pollution considering the risk of exceeding criteria under uncertainty. Science of the Total Environment, 758, 143659.

    Article  CAS  Google Scholar 

  • Sharpley, A. N., Kleinman, P. J. A., Flaten, D. N., & Buda, A. R. (2011). Critical source area management of agricultural phosphorus: experiences, challenges and opportunities. Water Science and Technology, 64, 945–952.

    Article  CAS  Google Scholar 

  • Shen, Z., Zhong, Y., Huang, Q., & Chen, L. (2015). Identifying non-point source priority management areas in watersheds with multiple functional zones. Water Research, 68, 563–571.

    Article  CAS  Google Scholar 

  • Shoemaker, L., Dai, T., Koenig, J., & Hantush, M. (2005). TMDL Model Evaluation and Research Needs; National Risk Management Research Laboratory. OH, USA: US Environmental Protection Agency: Cincinnati.

    Google Scholar 

  • Shortle, J. S., & Horan, R. D. (2001). The economics of noon-point source pollution control. Journal of Economic Surveys, 15(3), 255–289.

    Article  Google Scholar 

  • US EPA (2019). BASINS 4.5 (Better Assessment Science Integrating point & Non-point Sources) Modeling Framework. National Exposure Research Laboratory, RTP, North Carolina. BASINS Core Manual. Accessed day month year.

  • Villeneuve, J. P., Blanchette, C., Duchemin, M., Gagnon, J. F., Mailhot, A., Rousseau, A. N., Roux, M., Tremblay, J. F., Turcotte, R. (1998). Rapport Final du Projet GIBSI, Mars 1998. Rapport No. R-462. INRS-Eau, Sainte-Foy, Québec, pp. 371.

  • Wang, G. B., Chen, L., Huang, Q., Xiao, Y. C., & Shen, Z. Y. (2016). The influence of watershed subdivision level on model assessment and identification of non-point source priority management areas. Ecological Engineering, 87, 110–119.

    Article  Google Scholar 

  • Wang, W. Z., Chen, L., & Shen, Z. Y. (2020). Dynamic export coefficient model for evaluating the effects of environmental changes on non-point source pollution. Science of the Total Environment, 747, 141164.

    Article  CAS  Google Scholar 

  • Young, R. A., Onstad, C. A., Bossch, D. D., & Anderson, W. P. (1989). AGNPS: a non-point source pollution model for evaluating agricultural watershed. Journal of Soil and Water Conservation, 44, 168–173.

    Google Scholar 

  • Zhang, M. H., & Xu, J. M. (2011). Non-point source pollution, environmental quality, and ecosystem health in China: introduction to the special section. Journal of Environmental Quality, 40(6), 1685–1694.

    Article  CAS  Google Scholar 

  • Zuo, D. P., Han, Y. N., Gao, X. X., Ma, G. W., Xu, Z. X., Bi, Y. Q., Karim, C. A., & Yang, H. (2022). Identification of priority management areas for non-point source pollution based on critical source areas in an agricultural watershed of Northeast China. Environmental Research, 214, 113892.

    Article  CAS  Google Scholar 

Download references

Funding

This work was supported by the Youth Fund from the National Natural Science Foundation of China (grant number: 52000120); the Key Scientific Research Projects of Water Conservancy in Hubei Province (grant numbers: HBSLKY201919 and HBSLKY202124).

Author information

Authors and Affiliations

Authors

Contributions

Wen Xu and Ling Liu wrote the original draft; Shijiang Zhu and Aihua Sun edited the manuscript text; Hao Wang and Zhiyu Ding made data analysis and prepared the pictures. All authors reviewed the manuscript.

Corresponding author

Correspondence to Shi-jiang Zhu.

Ethics declarations

Ethics approval and consent to participate

All authors have read, understood, and have complied as applicable with the statement on “ethical responsibilities of authors” as found in the instructions for authors and are aware that with minor exceptions, no changes can be made to authorship once the paper is submitted.

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, W., Liu, L., Zhu, Sj. et al. Identifying the critical areas and primary sources for agricultural non-point source pollution management of an emigrant town within the Three Gorges reservoir area. Environ Monit Assess 195, 602 (2023). https://doi.org/10.1007/s10661-023-11180-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-023-11180-2

Keywords

Navigation