Abstract
Evaluations of probable environmental impacts of point and diffuse source pollution at regional sizes are essential to achieve sustainable development of natural resources such as land and water. This research focused on how nitrate and phosphorus load varied over time and space in the Vamanapuram River Basin (VRB). Phosphorus and nitrate loads have been evaluated in the VRB using the semi-distributed Soil and Water Assessment Tool (SWAT) hydrological model. SWAT Calibration and Uncertainty Programs (SWAT-CUP) have simulated the developed model using the Sequential Uncertainty Fitting, version 2(SUFI-2). The developed model was simulated for 2001 to 2008, and it was split into two-phase calibration and validation phases. Model performance was evaluated by the percentage of bias (PBAIS) and Nash–Sutcliffe efficiency coefficient (NSE). The simulated performance of nitrate was indicated as NSE = 0.22–0.59 and PBIAS = 51.86–65.88. The simulated performance of phosphorus showed NSE = 0.06–0.33 and PBIAS = 15.14–33.97. Total Phosphorus load was most sensitive to the organic Phosphorus enrichment ratio (ERORGP) and CH_N2 for streamflow simulation. This study concluded that the South-western region was a high potential for nutrient loads. This study will explain the nutrient load and guidelines for land management practice in the study area.







Similar content being viewed by others
Explore related subjects
Discover the latest articles and news from researchers in related subjects, suggested using machine learning.Data availability
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
References
Abbaspour, K. C., Vejdani, M., Haghighat, S., & Yang, J. (2007). SWAT-CUP calibration and uncertainty programs for SWAT. In MODSIM 2007 international congress on modelling and simulation, modelling and simulation society of Australia and New Zealand (pp. 1596–1602).
Abijith, D., & Saravanan, S. (2021). Assessment of land use and land cover change detection and prediction using remote sensing and CA Markov in the northern coastal districts of Tamil Nadu, India. Environmental Science and Pollution Research, 1–13.
Aju, C. D., Achu, A. L., Raicy, M. C., & Reghunath, R. (2021). Identification of suitable sites and structures for artificial groundwater recharge for sustainable water resources management in Vamanapuram River Basin, South India. HydroResearch, 4, 24–37.
Alam, M. J., & Dutta, D. (2021). Modelling of nutrient pollution dynamics in river basins: A review with a perspective of a distributed modelling approach. Geosciences, 11(9), 369.
Arnold, J. G., Moriasi, D. N., Gassman, P. W., Abbaspour, K. C., White, M. J., Srinivasan, R., & Jha, M. K. (2012). SWAT: Model use, calibration, and validation. Transactions of the ASABE, 55(4), 1491–1508.
Chang, D., Lai, Z., Li, S., Li, D., & Zhou, J. (2021). Critical source areas’ identification for non-point source pollution related to nitrogen and phosphorus in an agricultural watershed based on SWAT model. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-021-13973-9
Cheng, J., Gong, Y., Zhu, D. Z., Xiao, M., Zhang, Z., Bi, J., & Wang, K. (2021). Modeling the sources and retention of phosphorus nutrient in a coastal river system in China using SWAT. Journal of Environmental Management, 278, 111556.
Dong, B., Qin, T., Wang, Y., Zhao, Y., Liu, S., Feng, J., & Zhang, X. (2021). Spatiotemporal variation of nitrogen and phosphorus and its main influencing factors in Huangshui River basin. Environmental Monitoring and Assessment, 193(5), 1–22.
Dongare, V. T., Reddy, G. P., Kharche, V. K., & Ramteke, I. K. (2022). Spatial variability of soil nutrients under sugarcane cropping system in semi-arid tropics of western India using geostatistics and GIS. Journal of Soil and Water Conservation, 21(1), 67–75.
Duan, P., Wei, M., Yao, L., & Li, M. (2022). Relationship between non-point source pollution and fluorescence fingerprint of riverine dissolved organic matter is season dependent. Science of the Total Environment, 823, 153617.
Dwivedi, D., Arora, B., Steefel, C. I., Dafflon, B., & Versteeg, R. (2018). Hot spots and hot moments of nitrogen in a riparian corridor. Water Resources Research, 54(1), 205–222.
Easton, Z. M., Fuka, D. R., White, E. D., Collick, A. S., Biruk Ashagre, B., McCartney, M., & Steenhuis, T. S. (2010). A multi basin SWAT model analysis of runoff and sedimentation in the Blue Nile Ethiopia. Hydrology and Earth System Sciences, 14(10), 1827–1841.
Elisante, E., & Muzuka, A. N. (2017). Occurrence of nitrate in Tanzanian groundwater aquifers: A review. Applied Water Science, 7(1), 71–87.
Fleming, P. M., Stephenson, K., Collick, A. S., & Easton, Z. M. (2022). Targeting for nonpoint source pollution reduction: A synthesis of lessons learned, remaining challenges, and emerging opportunities. Journal of Environmental Management, 308, 114649.
Good, L. W., Vadas, P., Panuska, J. C., Bonilla, C. A., & Jokela, W. E. (2012). Testing the Wisconsin Phosphorus Index with year-round, field-scale runoff monitoring. Journal of Environmental Quality, 41(6), 1730–1740.
Grando, D. L., Gatiboni, L. C., Mumbach, G. L., & Dall’Orsoletta, D. J., de Souza Junior, A. A., & Schmitt, D. E. (2021). Phosphorus in the runoff of soils with contrasting textures influenced by soil slope and pig slurry application. Agricultural Water Management, 258, 107178.
Himanshu, S. K., Pandey, A., Yadav, B., & Gupta, A. (2019). Evaluation of best management practices for sediment and nutrient loss control using SWAT model. Soil and Tillage Research, 192, 42–58.
Huang, J., & Hong, H. (2010). Comparative study of two models to simulate diffuse nitrogen and phosphorus pollution in a medium-sized watershed, southeast China. Estuarine, Coastal and Shelf Science, 86(3), 387–394.
Hussain, S., Mubeen, M., & Karuppannan, S. (2022). Land use and land cover (LULC) change analysis using TM, ETM+ and OLI Landsat images in district of Okara, Punjab, Pakistan. Physics and Chemistry of the Earth, Parts a/b/c, 126, 103117.
Hussain, S., Mubeen, M., Ahmad, A., Masood, N., Hammad, H. M., Amjad, M., & Waleed, M. (2021). Satellite-based evaluation of temporal change in cultivated land in Southern Punjab (Multan region) through dynamics of vegetation and land surface temperature. Open Geosciences, 13(1), 1561–1577.
Khalkho, D, Tripathi, M. P., Patel, S., Al-Ansari, N., Kumar, L., Sagar, A., Singh, P., Singh, V. K., Vishwakarma, D. K., & Elbeltagi, A. (2022). Prioritization of critical areas on hydrological response unit level for sediment and nutrient loss control in a river basin of India. Preprints, 2022020298. https://doi.org/10.20944/preprints202202.0298.v1
Kufel, L., Prejs, A., & Rybak, J. I. (Eds.). (2012). Shallow Lakes’ 95: Trophic cascades in shallow freshwater and brackish lakes (Vol. 119). Springer Science & Business Media.
Letha, J., Thulasidharan Nair, B., & Amruth Chand, B. (2011). Effect of land use/land cover changes on runoff in a river basin: A case study. WIT Transactions on Ecology and the Environment, 145, 139–149.
Li, S., Li, J., Hao, G., & Li, Y. (2021). Evaluation of best management practices for non-point source pollution based on the SWAT model in the Hanjiang River Basin China. Water Supply, 21(8), 4563–4580.
Moges, E., Demissie, Y., Larsen, L., & Yassin, F. (2020). Review: Sources of hydrological model uncertainties and advances in their analysis. Water, 2021(13), 28. https://doi.org/10.3390/w13010028
Mohanakavitha, T., Divahar, R., Meenambal, T., Shankar, K., Rawat, V. S., Haile, T. D., & Gadafa, C. (2019). Dataset on the assessment of water quality of surface water in Kalingarayan Canal for heavy metal pollution, Tamil Nadu. Data in Brief, 22, 878–884.
Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., & Veith, T. L. (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 50(3), 885–900.
Mosbahi, M., & Benabdallah, S. (2020). Assessment of land management practices on soil erosion using SWAT model in a Tunisian semi-arid catchment. Journal of Soils and Sediments, 20(2), 1129–1139.
Mujere, N., & Moyce, W. (2018). Climate change impacts on surface water quality. In Hydrology and Water Resource Management: Breakthroughs in Research and Practice (pp. 97–115). IGI Global. https://doi.org/10.4018/978-1-5225-3427-3.ch004.
Nash, J. E., & Sutcliffe, J. V. (1970). River flow forecasting through conceptual models part I—A discussion of principles. Journal of Hydrology, 10(3), 282–290. https://doi.org/10.1016/0022-1694(70)90255-6
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., & Williams, J. R. (2009). Soil and water assessment tool theoretical documentation version 2009. 2011. Texas Water Resources Institute.
Oita, A., Wirasenjaya, F., Liu, J., Webeck, E., & Matsubae, K. (2020). Trends in the food nitrogen and phosphorus footprints for Asia’s giants: China, India, and Japan. Resources, Conservation and Recycling, 157, 104752.
Pizzeghello, D., Berti, A., Nardi, S., & Morari, F. (2016). Relationship between soil test phosphorus and phosphorus release to solution in three soils after long-term mineral and manure application. Agriculture, Ecosystems & Environment, 233, 214–223.
Princela, M. A., Jose, J. M. A., Gladis, E. E., Arthi, D., & Joseph, J. (2021). Regional assessment of groundwater quality for drinking purpose. Materials Today: Proceedings, 45, 2916–2920.
Reddy, N. M., & Saravanan, S. (2022). Evaluation of the accuracy of seven gridded satellite precipitation products over the Godavari River basin, India. International Journal of Environmental Science and Technology, 1–26.
Sankriti, R., Subbarayan, S., Aluru, M., Reddy, N., & Ayyakkannu, S. (2021). Morphometric analysis and prioritization of sub-watersheds of Himayatsagar catchment, Ranga Reddy District, Telangana, India using remote sensing and GIS techniques. International Journal of System Assurance Engineering and Management, 1–13.
Saravanan, S., & Abijith, D. (2022). Flood susceptibility mapping of northeast coastal districts of Tamil Nadu India using multi-source geospatial data and machine learning techniques. Geocarto International, 1–30.
Sathiyamurthi, S., Saravanan, S., Sankriti, R., Aluru, M., Sivaranjani, S., & Srivel, R. (2022). Integrated GIS and AHP techniques for land suitability assessment of cotton crop in Perambalur District, South India. International Journal of System Assurance Engineering and Management, 1–12.
Sheeba, S. S., Pillai, P. S., & Mini, V. (2019). Assessment and rating of available nutrient status of rice soil in the southern laterites (AEU 8) of Kerala.
Singh, L., & Saravanan, S. (2020a). Simulation of monthly streamflow using the SWAT model of the Ib River watershed, India. HydroResearch, 3, 95–105. https://doi.org/10.1016/j.hydres.2020.09.001
Singh, L., & Saravanan, S. (2020b). Impact of climate change on hydrology components using CORDEX South Asia climate model in Wunna, Bharathpuzha, and Mahanadi India. Environmental Monitoring and Assessment, 192(11), 1–21. https://doi.org/10.1007/s10661-020-08637-z
Singh, L., & Saravanan, S. (2022). Assessing streamflow modeling using single and multi-site calibration approach on Bharathpuzha catchment, India: a case study. Modeling Earth Systems and Environment, 1–14.
Singh, L., Subbarayan, S., Jacinth Jennifer, J., Abhijith, D., & Sankriti, R. (2022). Assessment of impact of spatial distribution of rainfall on streamflow modelling using Arcswat in the Noyyal River Catchment Tamil Nadu, India. In Hydrological Modeling (pp. 517–526). Springer, Cham.
Soares, L. M. V., & do Carmo Calijuri, M. (2022). Restoration from eutrophication in interconnected reservoirs: Using a model approach to assess the propagation of water quality improvements downstream along a cascade system. Environmental Modelling & Software, 105308.
Sood, A., & Smakhtin, V. (2015). Global hydrological models: A review. Hydrological Sciences Journal, 60(4), 549–565.
Tan, M. L., Gassman, P. W., Liang, J., & Haywood, J. M. (2021). A review of alternative climate products for SWAT modelling: Sources, assessment and future directions. Science of The Total Environment, 148915.
Tharian, J. C., Vishnuraj, R. S., Josekumar, V. S., & Joseph, L. (2019). Checklist of freshwater fishes of the Vamanapuram River, Kerala. Journal of Aquatic Biology & Fisheries, 7, 59–63.
USDA. (1972). National Engineering Handbook, Hydrology, Section 4. United States Department of Agriculture, Soil Conservation Service (Chapters 4–10).
Vuorenmaa, J., Rekolainen, S., Lepistö, A., Kenttämies, K., & Kauppila, P. (2002). Losses of nitrogen and phosphorus from agricultural and forest areas in Finland during the 1980s and 1990s. Environmental Monitoring and Assessment, 76(2), 213–248.
Wang, H., Li, Y., Deng, Y., Liang, D., Li, Y., & Shen, Z. (2022). Tracking the sub-catchment of nutrient contributors: The case of a typical mixed hilly-plain watershed in China. Ecohydrology & Hydrobiology. https://doi.org/10.1016/j.ecohyd.2022.07.001
Woo, S. Y., Jung, C. G., Lee, J. W., & Kim, S. J. (2019). Evaluation of watershed scale aquatic ecosystem health by SWAT modeling and random forest technique. Sustainability, 11(12), 3397.
Woodrow, R. L., Wadnerkar, P. D., White, S. A., Holloway, C. J., Conrad, S. R., Tucker, J. P., & Santos, I. R. (2022). Nitrogen transport in Coffs Creek over seasonal and flood scales. National Marine Science Centre, Southern Cross University, Coffs Harbour.
Xue, B., Zhang, H., Wang, G., & Sun, W. (2022). Evaluating the risks of spatial and temporal changes in nonpoint source pollution in a Chinese river basin. Science of the Total Environment, 807, 151726.
Zakharov, S. G. (2021). Anthropogenic eutrophication of lakes Turgoyak and Bolshoi Kisegach. In IOP Conference Series: Earth and Environmental Science (Vol. 834, No. 1, p. 012048). IOP Publishing.
Zhang, T., Yang, Y., Ni, J., & Xie, D. (2020). Construction of an integrated technology system for control agricultural non-point source pollution in the Three Gorges Reservoir Areas. Agriculture, Ecosystems & Environment, 295, 106919.
Author information
Authors and Affiliations
Contributions
All authors contributed equally in the preparation of this manuscript.
Corresponding author
Ethics declarations
Conflict of interest
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.
About this article
Cite this article
Saravanan, S., Singh, L., Sathiyamurthi, S. et al. Predicting phosphorus and nitrate loads by using SWAT model in Vamanapuram River Basin, Kerala, India. Environ Monit Assess 195, 186 (2023). https://doi.org/10.1007/s10661-022-10786-2
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10661-022-10786-2