PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Mathematical model development for non-point source in-stream pollutant transport

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Non-point source pollution is a primary cause for concern globally. Various models have been developed to tackle this situation with much emphasis placed on best management practices. This practice has, however, proven to be insufficient to solve the NPS pollution situation. Existing non-point source models are watershed- -based and complicated both in operation, parameter estimation and data requirements. A non-point source model is proposed using the concept of the Hybrid Cells in Series model. The model is a three-parameter model made up of three zones, which describes pure advection through time delay in a plug zone, with combined advection and dispersion occurring when the other two zones are considered as thoroughly mixed. The proposed model is tested using synthetic data and field data from the Snake River, Colorado, USA, obtained from literature. Simulations were performed at four sample points; two from the tracer injection point along the Snake River before a confluence and two further downstream after the confluence. A regression analysis was carried out to determine the model’s capability to simulate pollutant transport for the four sampling points. The coefficients of determination are 0.98, 0.94, 0.84 and 0.97 while the standard error for each reach is 2.28E-2, 2.70E-2, 2.32E-2 and 9.35E-3 respectively. The results show good agreement between the measured and the simulated data. The response of the C-t profiles produced by the proposed model for both synthetic and field data demonstrates its ability to effectively simulate pollutant transport in natural rivers subject to non-point source pollution.
Rocznik
Strony
91--99
Opis fizyczny
Bibliogr. 33 poz., rys., tab., wykr.
Twórcy
autor
  • University of KwaZulu-Natal, South Africa
  • University of KwaZulu-Natal, South Africa
Bibliografia
  • 1. Adu, J.T. & Kumarasamy, M.V. (2018). Assessing Non-Point Source Pollution Models: A Review, Polish Journal of Environmental Studies, 27, 5, pp. 1913-1922, DOI: 10.15244/pjoes/76497.
  • 2. Bencala, K.E. & Walters, R.A. (1983). Simulation of solute transport in a mountain pool‐and‐riffle stream with a kinetic mass transfer model for sorption, Water Resources Research, 19, 3, pp. 732-738, DOI: 10.1029/WR019i003p00732.
  • 3. Bencala, K.E., McKnight, D.M. & Zellweger, G.W. (1990). Characterization of transport in an acidic and metal‐rich mountain stream based on a lithium tracer injection and simulations of transient storage, Water Resources Research, 26, 5, pp. 989-1000, DOI: 10.1029/WR026i005p00989.
  • 4. Bojarczuk, A., Jelonkiewicz, E., Jelonkiewicz, Ł. & Lenart-Boroń, A. (2019). Changes in the quality of shallow groundwater in agriculturally used catchment in the Wiśnickie Foothills (Southern Poland), Archives of Environmental Protection, 45, 1, pp. 19-25, DOI: 10.24425/aep.2019.126420.
  • 5. Borah, D.K. & Bera, M. (2004). Watershed-scale hydrologic and nonpoint-source pollution models: Review of applications, Transactions of the ASAE, 47, 3, pp. 789-803.
  • 6. Chahor, Y., Casalí, J., Giménez, R., Bingner, R.L., Campo, M.A. & Goñi, M. (2014). Evaluation of the AnnAGNPS model for predicting runoff and sediment yield in a small Mediterranean agricultural watershed in Navarre (Spain), Agricultural Water Management, 134, pp. 24-37.
  • 7. Chen, H., Teng, Y. & Wang, J. (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, 2, pp. 2009-2021.
  • 8. Diaz-Ramirez, J.N., McAnally, W.H. & Martin, J.L. (2011). Analysis of hydrological processes applying the HSPF model in selected watersheds in Alabama, Mississippi and Puerto Rico, Applied Engineering in Agriculture, 27, 6, pp. 937-954.
  • 9. Fu, Y.C., Ruan, B.Q. & Gao, T. (2013). Watershed Agricultural Non- Point Source Pollution Management, Polish Journal of Environmental Studies, 22, 2, pp. 367-375.
  • 10. Ghosh, N.C., Mishra, G.C. & Kumarasamy, M. (2008). Hybrid-cells-in-series model for solute transport in streams and relation of its parameters with bulk flow characteristics, Journal of Hydraulic Engineering, 134, 4, pp. 497-503.
  • 11. Ghosh, N.C., Mishra, G.C. & Ojha, C.S.P. (2004). Hybrid-cells-in-series Model for Solute Transport in a River, Journal of Environmental Engineering, 130, 1198.
  • 12. Hu, H. & Huang, G. (2014). Monitoring of non-point source pollutions from an agriculture watershed in South China, Water., 6, 12, pp. 3828-3840.
  • 13. Huang, J. & Hong, H. (2010). Comparative study of two models to simulate diff use nitrogen and phosphorus pollution in a medium-sized watershed, southeast China, Estuarine, Coastal and Shelf Science, 86, 387-394.
  • 14. Kumarasamy, M., Ghosh, N.C., Mishra, G.C. & Kansal, M.L. (2013). Hybrid model development for the decaying pollutant transport in streams, International Journal of Environment and Waste Management, 12, 2, pp. 130-145.
  • 15. Kumarasamy, M., Mishra, G.C., Ghosh, N.C. & Kansal, M.L. (2011). Semi analytical solution for non-equilibrium sorption of pollutant transport in streams, Journal of Environmental Engineering, 137, 11, pp. 1066-1074.
  • 16. Kumarasamy, M.V. (2015). Deoxygenation and Reaeration Coupled hybrid mixing cells Based Pollutant Transport Model to Assess Water Quality Status of a River, International journal of environmental research, 9, 1, pp. 341-350.
  • 17. Lam, Q.D., Schmalz, B. & Fohrer, N. (2010). Modelling point and diff use source pollution of nitrate in a rural lowland catchment using the SWAT model, Agricultural Water Management, 97, 2, pp. 317-325.
  • 18. Lees, M.J., Camacho, L.A. & Chapra, S. (2000). On the relationship of transient storage and aggregated dead zone models of longitudinal solute transport in streams, Water Resources Research, 36, 1, pp. 213-224.
  • 19. Li, S., Zhuang, Y., Zhang, L., Du, Y. & Liu, H. (2014). Worldwide performance and trends in nonpoint source pollution modeling research from 1994 to 2013: A review based on bibliometrics, Journal of Soil and Water Conservation, 69, 4, 121A.
  • 20. McKnight, D.M. & Bencala, K.E. (1989). Reactive iron transport in an acidic mountain stream in Summit County, Colorado: a hydrologic perspective, Geochimica et Cosmochimica Acta, 53, 9, 2225-2234.
  • 21. Muthukrishnavellaisamy, K., Mishra, G.C., Kansal, M.L. & Ghosh, N.C. (2009). Estimation of stream water quality parameter using regime channel theory, Environmental geology, 57, 4, pp. 899-908.
  • 22. Olowe, K.O. & Kumarasamy, M. (2017). Development of the hybrid cells in series model to simulate ammonia nutrient pollutant transport along the Umgeni River, Environmental Science and Pollution Research, 24, 29, pp. 22967-22979.
  • 23. Olowe, K.O. & Kumarasamy, M. (2018). Assessment of Some Existing Water Quality Models, Nature Environment and Pollution Technology, 17, 3, pp. 939-948.
  • 24. Ongley, E.D., Xiaolan, Z. & Tao, Y. (2010). Current status of agricultural and rural non-point source pollution assessment in China, Environmental Pollution, 158, 5, pp. 1159-1168.
  • 25. Ouyang, W., Jiao, W., Li, X., Giubilato, E. & Critto, A. (2016). Long-term agricultural non-point source pollution loading dynamics and correlation with outlet sediment geochemistry, Journal of Hydrology, 540, pp. 379-385.
  • 26. Runkel, R.L. & Bencala, K.E. (1995). Transport of reacting solutes in rivers and streams. In Environmental hydrology, Springer, Dordrecht., pp. 137-164.
  • 27. Shen, Z., Hong, Q., Chu, Z. & Gong, Y. (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, pp. 977-989.
  • 28. Voza, D., Vukovic, M., Takic, L., Nikolic, D. & Mladenovic-Ranisavljevic, I. (2015). Application of multivariate statistical techniques in the water quality assessment of Danube river, Serbia, Archives of Environmental Protection, 41, 4, pp. 96-103.
  • 29. Wang, S., He, Q., Ai, H., Wang, Z. & Zhang, Q. (2013). Pollutant concentrations and pollution loads in stormwater runoff from different land uses in Chongqing, Journal of Environmental Sciences, 25, 3, pp. 502-510.
  • 30. Wen, Y., Schoups, G. & Van De Giesen, N. (2017). Organic pollution of rivers: Combined threats of urbanization, livestock farming and global climate change, Scientific reports, 7, 43289.
  • 31. Wiatkowski, M. & Wiatkowska, B. (2019) Changes in the flow and quality of water in the dam reservoir of the Mała Panew catchment (South Poland) characterized by multidimensional data analysis, Archives of Environmental Protection, 45,1, pp 26-41, DOI: 10.24425/aep.2019.126339.
  • 32. Zhang, H. & Huang, G.H. (2011). Assessment of non-point source pollution using a spatial multicriteria analysis approach, Ecological Modelling, 222, 2, pp. 313-321.
  • 33. Zhang, W., Che, W., Liu, D.K., Gan, Y.P. & Lv, F.F. (2012). Characterization of runoff from various urban catchments at different spatial scales in Beijing, China, Water Science and Technology, 66, 1, pp. 21-27.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f293fa29-e6a6-4210-bb93-7ffb759bb821
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.