Predicting phosphorus and nitrate loads by using SWAT model in Vamanapuram River Basin, Kerala, India

Saravanan, Subbarayan; Singh, Leelambar; Sathiyamurthi, S.; Sivakumar, Vivek; Velusamy, Sampathkumar; Shanmugamoorthy, Manoj

doi:10.1007/s10661-022-10786-2

Cited by 17 publications

(2 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, it is essential that these models undergo a comprehensive process of calibration and validation [60]. For this, the model was set up to calibrate and validate at multiple sites by using the SUFI-2 algorithm in SWAT Calibration and Uncertainty Program (SWAT-CUP) [61][62][63].…”

Section: Model Calibration and Validationmentioning

confidence: 99%

Monitoring, Modeling and Planning Best Management Practices (BMPs) in the Atwood and Tappan Lake Watersheds with Stakeholders Engagements

Sharma,

Bijukshe,

Puppala

2023

Water

View full text Add to dashboard Cite

This study was conducted in the Atwood and Tappan Lakes watersheds of the Tuscarawas basin of Ohio. The flow, total nitrogen (TN), and total phosphorus (TP) loadings were monitored with the help of local stakeholders for a few years at various locations of the watershed to develop the Soil and Water Assessment Tool (SWAT). The multi-site SWAT model calibration and validation were accomplished with a reasonable model performance. In the next step, the scenario analysis was conducted in the SWAT model using various BMPs, including vegetative filter strips, grass waterways, fertilizer reduction, crop rotation, and cover crops to evaluate their performance in reducing TN and TP from the watershed. While BMPS in many studies are decided based on researchers’ intuition, these BMPs were selected based on active consultation with the local stakeholders, who were engaged in the reduction of TN and TP loadings from the watersheds. Since the SWAT model calibration for TN and TP was not as good as the hydrologic model calibration, various scenarios of TN and TP reduction using BMPs were investigated for several years using both calibrated and uncalibrated SWAT models. We examined all the BMPs in 12 sub-watersheds of the Atwood and 10 sub-watersheds of the Tappan Lake watershed. The analysis indicated that the management practices of cover crops (rye) in combination with grass waterways with a 10% fertilizer reduction could minimize the TN and TP loading by as much as 88%, without significantly compromising the agricultural yield. However, a 10% fertilizer reduction without any BMPs could reduce TN and TP by just 9%. The cover crop (rye) including 10% fertilizer reduction with grass waterways seemed to be the most effective in reducing TN and TP, whereas the implementation of a filter strip led to a 70% reduction and was the next effective BMPs in reducing TN and TP loadings. In general, TN losses were reduced by 8% to 53%, while TP losses were reduced by 7% to 88%, depending on the BMPs used. By and large, the TN and TP reduction achieved through the calibrated model was not significantly different from the uncalibrated model, even though the reduction using the calibrated model was slightly higher for all scenarios than that of the uncalibrated model. The TN and TP loadings were highly sensitive to cattle grazing. When just 50% of the cattle were permitted to graze, the model predicted that there would be a 40% increase in total nitrogen and a 70% increase in total phosphorus in both watersheds. Our investigation revealed that monitoring the watershed at a small sub-watershed scale and calibrating the SWAT model for nitrogen and phosphorus is delicate.

show abstract

Section: Model Calibration and Validationmentioning

confidence: 99%

Monitoring, Modeling and Planning Best Management Practices (BMPs) in the Atwood and Tappan Lake Watersheds with Stakeholders Engagements

Sharma,

Bijukshe,

Puppala

2023

Water

View full text Add to dashboard Cite

show abstract

“…Many locations shows that the water quality level is not pertaining to the permissible limits due to waste dumping activities and untreated effluents from industrial discharges. Due to seasonal differences in the type of waste dumped and different climates, it is observed that changes in solid waste creation and chemical properties take place (Saravanan et al, 2023;. Additionally, it is discovered from the chemical properties of solid waste that variations in concentration level happen when waste layers deteriorate.…”

Section: Figure 11 Recorded Carbon Emissions From Land Treatment Unitsmentioning

confidence: 99%

Water pollution and carbon dioxide emissions from solid waste landfills: Probabilistic monitoring and evaluation

2023

Global NEST: The International Journal

View full text Add to dashboard Cite

<p>Owing to increased population, the ground water pollution and disposal of solid waste from the domestic, commercial and the industrial sources has become higher. Mainly, leachate from sanitary landfills increase the ground water pollution and disposal of solid wastes may produce the emission of carcinogenic greenhouse gases. The gases include Carbon-dioxide (CO2), Nitrogen-dioxide (NO2), Methane (CH4) and Hydrogen Sulphide (H2S) which will contributes to the major and detrimental in nature. To know about the extremity of the gases, implementation of integrated sensors networks can transmit and store data in the cloud using the Internet of Things (IoT) to perform future prediction using Machine Learning Algorithm. To estimate ground water pollution, sample locations have been chosen using random sampling method which holds 89% efficiency in data sampling. Due to the increased proportion of liquid and solid waste at 17:93 ratio existence in the city, the study elaborates the health impacts of pathogens by pointing as a cancer capital of around 34% influence rates. Based on the CO2 emission and water pollution analysis, the modelling is done using Linear Regression Machine Learning algorithm which flags up the emission rate that could occur for the next three months with 86% accuracy. Also, appropriate mitigation measures can be suggested to the local government in the view of reducing both ground water pollution and the gaseous emissions. Finally, the identified pollution potential in the Vendipalayam site is compared with other landfill sites level of pollution for providing the adaptive measures further enhances environmental sustainability.</p>

show abstract

Assessing the response of non-point source nitrogen pollution to land use change based on SWAT model

Zhang,

Qi,

et al. 2024

Ecological Indicators

View full text Add to dashboard Cite

Predicting phosphorus and nitrate loads by using SWAT model in Vamanapuram River Basin, Kerala, India

Cited by 17 publications

References 47 publications

Monitoring, Modeling and Planning Best Management Practices (BMPs) in the Atwood and Tappan Lake Watersheds with Stakeholders Engagements

Monitoring, Modeling and Planning Best Management Practices (BMPs) in the Atwood and Tappan Lake Watersheds with Stakeholders Engagements

Water pollution and carbon dioxide emissions from solid waste landfills: Probabilistic monitoring and evaluation

Assessing the response of non-point source nitrogen pollution to land use change based on SWAT model

Contact Info

Product

Resources

About