Research Article
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Year 2023, Volume: 8 Issue: 3, 224 - 238, 15.10.2023
https://doi.org/10.26833/ijeg.1115608

Abstract

References

  • Mishra, S. K., Pandey, A., & Singh, V. P. (2012). Special issue on soil conservation service curve number (SCS-CN) methodology. Journal of Hydrologic Engineering, 17(11), 1157-1157. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000694
  • Marshall, E. J. P., West, T. M., & Kleijn, D. (2006). Impacts of an agri-environment field margin prescription on the flora and fauna of arable farmland in different landscapes. Agriculture, ecosystems & environment, 113(1-4), 36-44. https://doi.org/10.1016/j.agee.2005.08.036
  • Swain, S., Mishra, S. K., & Pandey, A. (2021). A detailed assessment of meteorological drought characteristics using simplified rainfall index over Narmada River Basin, India. Environmental Earth Sciences, 80, 1-15. https://doi.org/10.1007/s12665-021-09523-8
  • Patil, M. (2016). Stream flow modeling for ranganadi hydropower project in India considering climate change. Current World Environment, 11(3), 834. https://doi.org/10.12944/CWE.11.3.19
  • Ramana, G. V., Viswanadh, G. K., & Gautam, N. C. (2011). Rainfall and Runoff process using by overland Time of Concentration Model and GIS Modules. In 12th ESRI India User Conference, New Delhi.
  • Mishra, S. K., & Singh, V. P. (2002). SCS-CN method. Part I: derivation of SCS-CN-based models. Available electronically from http://hdl.handle.net/1969.1/164640
  • Mishra, S. K., & Singh, V. P. (2013). Soil conservation service curve number (SCS-CN) methodology (Vol. 42). Springer Science & Business Media
  • Rajurkar, M.P., Kothyari, U.C., & Chaube, U.C. (2004). Modeling of the daily rainfall-runoff relationship with artificial neural network. Journal of Hydrology, 285(1-4), 96-113. https://doi.org/ 10.1016/j.jhydrol.2003.08.011
  • Singh, V. P., Frevert, D. K., Rieker, J. D., Leverson, V., Meyer, S., & Meyer, S. (2006). Hydrologic modeling inventory: cooperative research effort. Journal of irrigation and drainage engineering, 132(2), 98-103. https://doi.org/10.1061/(ASCE)0733-9437(2006)132:2(98)
  • Guru, B. G. (2015). Critical Evaluation of MS (Mishra and Singh) Model for Runoff Estimation. Journal of Civil Engineering and Environmental Technology, 2(10), 11-14.
  • Aron, K., & Johnson, P. M. (1977). The multiphoton ionization spectrum of xenon: interatomic effects in multiphoton transitions. The Journal of Chemical Physics, 67(11), 5099-5104. https://doi.org/10.1063/1.434737
  • Chen, C. L. (1982). An evaluation of the mathematics and physical significance of the soil conservation service curve number procedure for estimating runoff volume. In Proc., Int. Symp. on Rainfall-Runoff Modeling, Water Resources Publ., Littleton, Colo (pp. 387-418).
  • Hjelmfelt Jr, A. T. (1980). Curve-number procedure as infiltration method. Journal of the Hydraulics Division, ASCE, 106(HY6), 1107-1111. https://doi.org/10.1061/JYCEAJ.0005445
  • Ponce, V.M., & Hawkins, R.H., 1996. Runoff curve number: has it reached maturity? Hydrol. Eng. ASCE 1 (1), 11–19. https://doi.org/10.1061/(ASCE)1084-0699(1996)1:1(11)
  • Siddiraju, R., Sudarsanaraju, G., & Rajsekhar, M. (2018). Estimation of rainfall-runoff using SCS-CN Method with RS and GIS Techniques for Mandavi Basin in YSR Kadapa District of Andhra Pradesh, India. Hydrospatial Analysis, 2(1), 1-15p. https://doi.org/10.21523/gcj3.18020101
  • Köylü, Ü. & Geymen, A. (2016). GIS and remote sensing techniques for the assessment of the impact of land use change on runoff. Arabian Journal of Geosciences, 9(7), 484. https://doi.org/10.1007/s12517-016-2514-7
  • Liu, X., & Li, J. (2008). Application of SCS model in estimation of runoff from small watershed in Loess Plateau of China. Chinese Geographical Science, 18(3), 235. https://doi.org/10.1007/s11769-008-0235-x
  • Rawat, K. S., & Singh, S. K. (2017). Estimation of surface runoff from semi-arid ungauged agricultural watershed using SCS-CN method and earth observation data sets. Water Conservation Science and Engineering, 1(4), 233-247. https://doi.org/ 10.1007/s41101-017-0016-4
  • Zelelew, D. G. (2017). Spatial mapping and testing the applicability of the curve number method for ungauged catchments in Northern Ethiopia. International Soil and Water Conservation Research, 5(4), 293-301. https://doi.org/10.1016/j.iswcr.2017.06.003
  • Hawkins, R. H. (1973). Improved prediction of storm runoff in mountain watersheds. Journal of the Irrigation and Drainage Division, 99(4), 519-523. https://doi.org/10.1061/JRCEA4.0000957
  • Hawkins, R. H. (1978). Runoff curve numbers with varying site moisture. Journal of the irrigation and drainage division, 104(4), 389-398. https://doi.org/ 10.1061/JRCEA4.0001221
  • Meshram, S. G., Powar, P. L., Singh, V. P., & Meshram, C. (2018). Application of cubic spline in soil erosion modeling from Narmada Watersheds, India. Arabian Journal of Geosciences, 11(13), 362. https://doi.org/ 10.1007/s12517-018-3699-8
  • Mishra, S. K., & Singh, V. P. (1999). Another look at SCS-CN method. Journal of Hydrologic Engineering, 4(3), 257-264. https://doi.org/10.1061/(ASCE)1084-0699(1999)4:3(257)
  • Mishra, S. K., & Singh, V. P. (2003). Derivation of SCS-CN parameter S from linear Fokker-Planck equation. Acta Geophys Pol, 51(2), 180-202. Available electronically from http://hdl.handle.net/1969.1/164631
  • Mishra, S. K., & Singh, V. P. (2004). Long‐term hydrological simulation based on the Soil Conservation Service curve number. Hydrological Processes, 18(7), 1291-1313. https://doi.org/10.1002/hyp.1344
  • Mockus, V. (1949). Estimation of total (and peak rates of) surface runoff for individual storms. Exhibit A of Appendix B, Interim Survey Rep. Grand (Neosho) River Watershed, USDA, Washington, DC.
  • Rallison, R. E. (1980) Origin and evolution of the SCS runoff equation. Proceedings of ASCE irrigation and drainage division symposium on watershed management, ASCE, New York, NY, 2, 912–924.
  • Williams, J. R., & LaSeur, W. V. (1976). Water yield model using SCS curve numbers. Journal of the hydraulics division, 102(9), 1241-1253. https://doi.org/10.1061/JYCEAJ.0004609
  • Guptha, G. C., Swain, S., Al-Ansari, N., Taloor, A. K., & Dayal, D. (2021). Evaluation of an urban drainage system and its resilience using remote sensing and GIS. Remote Sensing Applications: Society and Environment, 23, 100601. https://doi.org/ 10.1016/j.rsase.2021.100601
  • Guptha, G. C., Swain, S., Al-Ansari, N., Taloor, A. K., & Dayal, D. (2022). Assessing the role of SuDS in resilience enhancement of urban drainage system: A case study of Gurugram City, India. Urban Climate, 41, 101075. https://doi.org/10.1016/j.uclim.2021.101075 Nayak, T., Verma, M. K., &Bindu, S. H. (2012). SCS curve number method in Narmada basin. International Journal of Geomatics and Geosciences, 3(1), 219-228.
  • Sharma, I., Mishra, S. K., Pandey, A., Kumre, S. K., & Swain, S. (2020). Determination and verification of antecedent soil moisture using Soil Conservation Service Curve Number method under various land uses by employing the data of small Indian experimental farms. In Watershed Management 2020 (pp. 141-150). Reston, VA: ASCE. https://doi.org/ 10.1061/9780784483060.013 Ibrahim-Bathis, K., & Ahmed, S. A. (2016). Rainfall-runoff modelling of Doddahalla watershed—an application of HEC-HMS and SCN-CN in ungauged agricultural watershed. Arabian Journal of Geosciences, 9(3), 170. https://doi.org/10.1007/s12517-015-2228-2
  • Singh, A., Malik, A., Kumar, A., & Kisi, O. (2018). Rainfall-runoff modeling in hilly watershed using heuristic approaches with gamma test. Arabian Journal of Geosciences, 11(11), 261. https://doi.org/ 10.1007/s12517-018-3614-3
  • Mishra, S. K., Tyagi, J. V., Singh, V. P., & Singh, R. (2006). SCS-CN-based modeling of sediment yield. Journal of Hydrology, 324(1-4), 301-322. https://doi.org/10.1016/j.jhydrol.2005.10.006
  • Lal, M., Mishra, S. K., Pandey, A., Pandey, R. P., Meena, P. K., Chaudhary, A., ... & Kumar, Y. (2017). Evaluation of the Soil Conservation Service curve number methodology using data from agricultural plots. Hydrogeology Journal, 25(1), 151-167. https://doi.org/10.1007/s10040-016-1460-5
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Identification of potential zones on the estimation of direct runoff and soil erosion for an ungauged watershed based on remote sensing and GIS techniques

Year 2023, Volume: 8 Issue: 3, 224 - 238, 15.10.2023
https://doi.org/10.26833/ijeg.1115608

Abstract

An investigation of soil and water resources is essential to determine the future scenario of water management and water resources to attain food and water security. The improper management of watersheds results in a huge amount of sediment loss and surface runoff. Therefore, the present study was carried out to estimate the surface runoff and soil erosion using the Soil Conservation Service Curve Number (SCS-CN) method and RUSLE approach, respectively. These have been estimated using geospatial technologies for the ungauged Mandri river watershed from the Kanker district of Chhattisgarh State in India. The runoff potential zones, which are defined by the area's impermeable surfaces for a given quantity of precipitation were identified based on curve numbers at the sub-watershed levels. The land use data were collected from LISS IV images of 2009. The results showed that the average volume of runoff generated throughout the 16 years (2000-2015) was 14.37 million cubic meters (mM3). While average annual soil loss was found to be 17.23 tons/ha/year. Most of the eroded area was found to be around the major stream in a drainage system of Mandri River and on higher slopes of the terrain in the watershed. This study revealed that surface runoff and soil erosion are primary issues, which adversely affected the soil and water resources in this watershed. Therefore, suitable water harvesting sites and structures can be constructed based on the potential runoff zone and severity of soil erosion to conserve the soil and water in the watershed.

References

  • Mishra, S. K., Pandey, A., & Singh, V. P. (2012). Special issue on soil conservation service curve number (SCS-CN) methodology. Journal of Hydrologic Engineering, 17(11), 1157-1157. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000694
  • Marshall, E. J. P., West, T. M., & Kleijn, D. (2006). Impacts of an agri-environment field margin prescription on the flora and fauna of arable farmland in different landscapes. Agriculture, ecosystems & environment, 113(1-4), 36-44. https://doi.org/10.1016/j.agee.2005.08.036
  • Swain, S., Mishra, S. K., & Pandey, A. (2021). A detailed assessment of meteorological drought characteristics using simplified rainfall index over Narmada River Basin, India. Environmental Earth Sciences, 80, 1-15. https://doi.org/10.1007/s12665-021-09523-8
  • Patil, M. (2016). Stream flow modeling for ranganadi hydropower project in India considering climate change. Current World Environment, 11(3), 834. https://doi.org/10.12944/CWE.11.3.19
  • Ramana, G. V., Viswanadh, G. K., & Gautam, N. C. (2011). Rainfall and Runoff process using by overland Time of Concentration Model and GIS Modules. In 12th ESRI India User Conference, New Delhi.
  • Mishra, S. K., & Singh, V. P. (2002). SCS-CN method. Part I: derivation of SCS-CN-based models. Available electronically from http://hdl.handle.net/1969.1/164640
  • Mishra, S. K., & Singh, V. P. (2013). Soil conservation service curve number (SCS-CN) methodology (Vol. 42). Springer Science & Business Media
  • Rajurkar, M.P., Kothyari, U.C., & Chaube, U.C. (2004). Modeling of the daily rainfall-runoff relationship with artificial neural network. Journal of Hydrology, 285(1-4), 96-113. https://doi.org/ 10.1016/j.jhydrol.2003.08.011
  • Singh, V. P., Frevert, D. K., Rieker, J. D., Leverson, V., Meyer, S., & Meyer, S. (2006). Hydrologic modeling inventory: cooperative research effort. Journal of irrigation and drainage engineering, 132(2), 98-103. https://doi.org/10.1061/(ASCE)0733-9437(2006)132:2(98)
  • Guru, B. G. (2015). Critical Evaluation of MS (Mishra and Singh) Model for Runoff Estimation. Journal of Civil Engineering and Environmental Technology, 2(10), 11-14.
  • Aron, K., & Johnson, P. M. (1977). The multiphoton ionization spectrum of xenon: interatomic effects in multiphoton transitions. The Journal of Chemical Physics, 67(11), 5099-5104. https://doi.org/10.1063/1.434737
  • Chen, C. L. (1982). An evaluation of the mathematics and physical significance of the soil conservation service curve number procedure for estimating runoff volume. In Proc., Int. Symp. on Rainfall-Runoff Modeling, Water Resources Publ., Littleton, Colo (pp. 387-418).
  • Hjelmfelt Jr, A. T. (1980). Curve-number procedure as infiltration method. Journal of the Hydraulics Division, ASCE, 106(HY6), 1107-1111. https://doi.org/10.1061/JYCEAJ.0005445
  • Ponce, V.M., & Hawkins, R.H., 1996. Runoff curve number: has it reached maturity? Hydrol. Eng. ASCE 1 (1), 11–19. https://doi.org/10.1061/(ASCE)1084-0699(1996)1:1(11)
  • Siddiraju, R., Sudarsanaraju, G., & Rajsekhar, M. (2018). Estimation of rainfall-runoff using SCS-CN Method with RS and GIS Techniques for Mandavi Basin in YSR Kadapa District of Andhra Pradesh, India. Hydrospatial Analysis, 2(1), 1-15p. https://doi.org/10.21523/gcj3.18020101
  • Köylü, Ü. & Geymen, A. (2016). GIS and remote sensing techniques for the assessment of the impact of land use change on runoff. Arabian Journal of Geosciences, 9(7), 484. https://doi.org/10.1007/s12517-016-2514-7
  • Liu, X., & Li, J. (2008). Application of SCS model in estimation of runoff from small watershed in Loess Plateau of China. Chinese Geographical Science, 18(3), 235. https://doi.org/10.1007/s11769-008-0235-x
  • Rawat, K. S., & Singh, S. K. (2017). Estimation of surface runoff from semi-arid ungauged agricultural watershed using SCS-CN method and earth observation data sets. Water Conservation Science and Engineering, 1(4), 233-247. https://doi.org/ 10.1007/s41101-017-0016-4
  • Zelelew, D. G. (2017). Spatial mapping and testing the applicability of the curve number method for ungauged catchments in Northern Ethiopia. International Soil and Water Conservation Research, 5(4), 293-301. https://doi.org/10.1016/j.iswcr.2017.06.003
  • Hawkins, R. H. (1973). Improved prediction of storm runoff in mountain watersheds. Journal of the Irrigation and Drainage Division, 99(4), 519-523. https://doi.org/10.1061/JRCEA4.0000957
  • Hawkins, R. H. (1978). Runoff curve numbers with varying site moisture. Journal of the irrigation and drainage division, 104(4), 389-398. https://doi.org/ 10.1061/JRCEA4.0001221
  • Meshram, S. G., Powar, P. L., Singh, V. P., & Meshram, C. (2018). Application of cubic spline in soil erosion modeling from Narmada Watersheds, India. Arabian Journal of Geosciences, 11(13), 362. https://doi.org/ 10.1007/s12517-018-3699-8
  • Mishra, S. K., & Singh, V. P. (1999). Another look at SCS-CN method. Journal of Hydrologic Engineering, 4(3), 257-264. https://doi.org/10.1061/(ASCE)1084-0699(1999)4:3(257)
  • Mishra, S. K., & Singh, V. P. (2003). Derivation of SCS-CN parameter S from linear Fokker-Planck equation. Acta Geophys Pol, 51(2), 180-202. Available electronically from http://hdl.handle.net/1969.1/164631
  • Mishra, S. K., & Singh, V. P. (2004). Long‐term hydrological simulation based on the Soil Conservation Service curve number. Hydrological Processes, 18(7), 1291-1313. https://doi.org/10.1002/hyp.1344
  • Mockus, V. (1949). Estimation of total (and peak rates of) surface runoff for individual storms. Exhibit A of Appendix B, Interim Survey Rep. Grand (Neosho) River Watershed, USDA, Washington, DC.
  • Rallison, R. E. (1980) Origin and evolution of the SCS runoff equation. Proceedings of ASCE irrigation and drainage division symposium on watershed management, ASCE, New York, NY, 2, 912–924.
  • Williams, J. R., & LaSeur, W. V. (1976). Water yield model using SCS curve numbers. Journal of the hydraulics division, 102(9), 1241-1253. https://doi.org/10.1061/JYCEAJ.0004609
  • Guptha, G. C., Swain, S., Al-Ansari, N., Taloor, A. K., & Dayal, D. (2021). Evaluation of an urban drainage system and its resilience using remote sensing and GIS. Remote Sensing Applications: Society and Environment, 23, 100601. https://doi.org/ 10.1016/j.rsase.2021.100601
  • Guptha, G. C., Swain, S., Al-Ansari, N., Taloor, A. K., & Dayal, D. (2022). Assessing the role of SuDS in resilience enhancement of urban drainage system: A case study of Gurugram City, India. Urban Climate, 41, 101075. https://doi.org/10.1016/j.uclim.2021.101075 Nayak, T., Verma, M. K., &Bindu, S. H. (2012). SCS curve number method in Narmada basin. International Journal of Geomatics and Geosciences, 3(1), 219-228.
  • Sharma, I., Mishra, S. K., Pandey, A., Kumre, S. K., & Swain, S. (2020). Determination and verification of antecedent soil moisture using Soil Conservation Service Curve Number method under various land uses by employing the data of small Indian experimental farms. In Watershed Management 2020 (pp. 141-150). Reston, VA: ASCE. https://doi.org/ 10.1061/9780784483060.013 Ibrahim-Bathis, K., & Ahmed, S. A. (2016). Rainfall-runoff modelling of Doddahalla watershed—an application of HEC-HMS and SCN-CN in ungauged agricultural watershed. Arabian Journal of Geosciences, 9(3), 170. https://doi.org/10.1007/s12517-015-2228-2
  • Singh, A., Malik, A., Kumar, A., & Kisi, O. (2018). Rainfall-runoff modeling in hilly watershed using heuristic approaches with gamma test. Arabian Journal of Geosciences, 11(11), 261. https://doi.org/ 10.1007/s12517-018-3614-3
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There are 66 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Manti Patıl This is me

Arnab Saha 0000-0002-3068-6774

Santosh Murlidhar Pıngale This is me 0000-0002-7134-6012

Devendra Singh Rathore This is me

Vikas Chandra Goyal This is me

Early Pub Date May 8, 2023
Publication Date October 15, 2023
Published in Issue Year 2023 Volume: 8 Issue: 3

Cite

APA Patıl, M., Saha, A., Pıngale, S. M., Rathore, D. S., et al. (2023). Identification of potential zones on the estimation of direct runoff and soil erosion for an ungauged watershed based on remote sensing and GIS techniques. International Journal of Engineering and Geosciences, 8(3), 224-238. https://doi.org/10.26833/ijeg.1115608
AMA Patıl M, Saha A, Pıngale SM, Rathore DS, Goyal VC. Identification of potential zones on the estimation of direct runoff and soil erosion for an ungauged watershed based on remote sensing and GIS techniques. IJEG. October 2023;8(3):224-238. doi:10.26833/ijeg.1115608
Chicago Patıl, Manti, Arnab Saha, Santosh Murlidhar Pıngale, Devendra Singh Rathore, and Vikas Chandra Goyal. “Identification of Potential Zones on the Estimation of Direct Runoff and Soil Erosion for an Ungauged Watershed Based on Remote Sensing and GIS Techniques”. International Journal of Engineering and Geosciences 8, no. 3 (October 2023): 224-38. https://doi.org/10.26833/ijeg.1115608.
EndNote Patıl M, Saha A, Pıngale SM, Rathore DS, Goyal VC (October 1, 2023) Identification of potential zones on the estimation of direct runoff and soil erosion for an ungauged watershed based on remote sensing and GIS techniques. International Journal of Engineering and Geosciences 8 3 224–238.
IEEE M. Patıl, A. Saha, S. M. Pıngale, D. S. Rathore, and V. C. Goyal, “Identification of potential zones on the estimation of direct runoff and soil erosion for an ungauged watershed based on remote sensing and GIS techniques”, IJEG, vol. 8, no. 3, pp. 224–238, 2023, doi: 10.26833/ijeg.1115608.
ISNAD Patıl, Manti et al. “Identification of Potential Zones on the Estimation of Direct Runoff and Soil Erosion for an Ungauged Watershed Based on Remote Sensing and GIS Techniques”. International Journal of Engineering and Geosciences 8/3 (October 2023), 224-238. https://doi.org/10.26833/ijeg.1115608.
JAMA Patıl M, Saha A, Pıngale SM, Rathore DS, Goyal VC. Identification of potential zones on the estimation of direct runoff and soil erosion for an ungauged watershed based on remote sensing and GIS techniques. IJEG. 2023;8:224–238.
MLA Patıl, Manti et al. “Identification of Potential Zones on the Estimation of Direct Runoff and Soil Erosion for an Ungauged Watershed Based on Remote Sensing and GIS Techniques”. International Journal of Engineering and Geosciences, vol. 8, no. 3, 2023, pp. 224-38, doi:10.26833/ijeg.1115608.
Vancouver Patıl M, Saha A, Pıngale SM, Rathore DS, Goyal VC. Identification of potential zones on the estimation of direct runoff and soil erosion for an ungauged watershed based on remote sensing and GIS techniques. IJEG. 2023;8(3):224-38.