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Soil Loss Evaluation in Kaddam Watershed Using Geographical Information Systems and Remote Sensing Techniques
https://orcid.org/http://orcid.org/0000-0001-9655-4531
Soil loss is a significant threat in both onsite and offsite issues of worldwide, and more attention is required to compensate for the soil loss, loss of fertility, nutrients, valuable minerals, and silt deposition in reservoirs. The geographical distribution of soil loss was evaluated using the Universal Soil Loss Equation (USLE) model, and trapezoidal equation used to assess sediment deposition. From USLE equation, the maximum spatial distribution of soil depletion is 60 tonnes/hectare/year, whereas the sediment yield assessment through the reservoir is 57 t/ha/year. From multiple and temporal satellite datasets, it is found that the rate of silt deposition is 5.21 Hm/100 sq km/year. Many researchers used methods to assess the soil loss or yield separately but have yet to integrate them into a single environment. To fulfil the gap, chosen Kaddam watershed computed two methods separately, integrated simulations and compared with the observed hydrographic survey shown satisfactorily. Hence, the prediction and method of the present study can adopt other reservoirs.
Soil Loss Evaluation in Kaddam Watershed Using Geographical Information Systems and Remote Sensing Techniques
https://orcid.org/http://orcid.org/0000-0001-9655-4531
Soil loss is a significant threat in both onsite and offsite issues of worldwide, and more attention is required to compensate for the soil loss, loss of fertility, nutrients, valuable minerals, and silt deposition in reservoirs. The geographical distribution of soil loss was evaluated using the Universal Soil Loss Equation (USLE) model, and trapezoidal equation used to assess sediment deposition. From USLE equation, the maximum spatial distribution of soil depletion is 60 tonnes/hectare/year, whereas the sediment yield assessment through the reservoir is 57 t/ha/year. From multiple and temporal satellite datasets, it is found that the rate of silt deposition is 5.21 Hm/100 sq km/year. Many researchers used methods to assess the soil loss or yield separately but have yet to integrate them into a single environment. To fulfil the gap, chosen Kaddam watershed computed two methods separately, integrated simulations and compared with the observed hydrographic survey shown satisfactorily. Hence, the prediction and method of the present study can adopt other reservoirs.
Soil Loss Evaluation in Kaddam Watershed Using Geographical Information Systems and Remote Sensing Techniques
https://orcid.org/http://orcid.org/0000-0001-9655-4531
Soil loss is a significant threat in both onsite and offsite issues of worldwide, and more attention is required to compensate for the soil loss, loss of fertility, nutrients, valuable minerals, and silt deposition in reservoirs. The geographical distribution of soil loss was evaluated using the Universal Soil Loss Equation (USLE) model, and trapezoidal equation used to assess sediment deposition. From USLE equation, the maximum spatial distribution of soil depletion is 60 tonnes/hectare/year, whereas the sediment yield assessment through the reservoir is 57 t/ha/year. From multiple and temporal satellite datasets, it is found that the rate of silt deposition is 5.21 Hm/100 sq km/year. Many researchers used methods to assess the soil loss or yield separately but have yet to integrate them into a single environment. To fulfil the gap, chosen Kaddam watershed computed two methods separately, integrated simulations and compared with the observed hydrographic survey shown satisfactorily. Hence, the prediction and method of the present study can adopt other reservoirs.
Soil Loss Evaluation in Kaddam Watershed Using Geographical Information Systems and Remote Sensing Techniques
J. Inst. Eng. India Ser. A
Anil, Kodimela (author) / Sivaprakasam, S. (author) / Sridhar, P. (author)
Journal of The Institution of Engineers (India): Series A ; 104 ; 997-1003
2023-12-01
7 pages
Article (Journal)
Electronic Resource
English
Watershed Modeling Using Remote Sensing
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Watershed Modeling Using Remote Sensing
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