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Nagmati River Sub-watershed Prioritization Using PCA, Integrated PCWS, and AHP: A Case Study

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Abstract

Prioritization of potential regions that are severely threatened by soil erosion is a prerequisite for formulating and implementing conservation measures and management practices, particularly in fragile semiarid regions. The present study prioritized eight delineated Nagmati sub-watersheds located in the Kutch District of Gujarat State, India, based on three approaches, namely principal component analysis (PCA), integrated PCA with weighted sum (I-PCWS), and analytical hierarchy process (AHP), and on 10 morphometric erosion risk parameters (ERPs). Sub-watersheds were categorized into three priority classes, namely high, medium, and low. PCA retrieved the three most significant ERPs (i.e., length of overland flow, Lo; drainage texture, Dt; and compactness coefficient, Cc) explaining 86.876% of the variance and exhibiting the highest correlation, i.e., r = 0.961, 0.986, and 0.934 for the first three principal components. Sub-watersheds SW2 and SW7 were rated high priority, SW1 was rated low priority, and the rest were rated medium priority. The I-PCWS approach revealed that sub-watersheds SW2, SW6, and SW7 were in high-priority zone, followed by SW3, SW4, and SW8 in medium-priority zone and SW1 and SW5 in the low-priority zone. The AHP assigned the highest and lowest ranks to “Lo” and “Cc,” respectively, with consistency ratio of 8.1% and principal eigenvalue of 11.075. Results from AHP revealed sub-watershed SW2 to be the highest priority and sub-watersheds SW1 and SW5 to be the lowest priority. Out of eight prioritized sub-watersheds from three approaches, five were found to be the common priority classes, with SW2, SW6, and SW7 demanding urgent implementation of efficient soil conservation measures to prevent further degradation of the identified regions. Results from I-PCWS approach closely complied with the existing landforms within the study area, and this approach was considered more reliable and robust than the other two approaches. The methodology adopted in this study can be applied to different vulnerable, data-scarce regions to sustainably manage and conserve soil erosion through efficiently framed strategies.

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References

  • Aher, P. D., Adinarayana, J., & Gorantivar, S. D. (2013). Prioritization of watersheds using multi-criteria evaluation through fuzzy analytical hierarchy process. Agricultural Engineering Institute, CIGR Journal,15(1), 11–18.

    Google Scholar 

  • Aher, P. D., Adinarayana, J., & Gorantiwar, S. (2014). Quantification of morphometric characterization and prioritization for management planning in semi-arid tropics of India: A remote sensing and GIS approach. Journal of Hydrology,511, 850–860.

    Google Scholar 

  • Aher, P. D., Singh K. K., & Sharma, H. C. (2010). Morphometric characterization of Gagar watershed for management planning. In Twenty third national convention of agricultural engineers and national seminar. Rahuri, India: Mahatma Phule Agril. University, 6–7 February.

  • Arami, S. A., Alvandi, E., Frootandanesh, M., Tahmasebipour, N., & Sangchini, E. K. (2017). Prioritization of watersheds in order to perform administrative measures using fuzzy analytic hierarchy process. Journal of Faculty of Forestry Istanbul University,67(1), 13–21.

    Google Scholar 

  • Arun, P. S., Jana, R., & Nathawat, M. S. (2005). A rule based physiographic characterization of a drought prone watershed applying remote sensing and GIS. Journal of Indian Society of Remote Sensing,33(2), 189–201.

    Google Scholar 

  • Chandniha, S. K., & Kansal, M. L. (2017). Prioritization of sub-watersheds based on morphometric analysis using geospatial technique in Piperiya watershed, India. Applied Water Science,7, 329–338.

    Google Scholar 

  • Chopra, R., Dhiman, R., & Sharma, P. K. (2005). Morphometric analysis of sub-watersheds in Gurdaspur district, Punjab using Remote Sensing and GIS techniques. Journal of Indian Society of Remote Sensing,33(4), 531–539.

    Google Scholar 

  • Clarke, J. I. (1996). Morphometry from maps: Essays in geomorphology (pp. 235–274). New York: Elsevier.

    Google Scholar 

  • Faniran, A. (1968). The index of drainage intensity—A provisional new drainage factor. Australian Journal of Science,31, 328–330.

    Google Scholar 

  • Farhan, Y., Anbar, A., Al-Shaikh, N., & Mousa, R. (2017). Prioritization of semi-arid agricultural watershed using morphometric and principal component analysis, remote sensing, and GIS techniques, the Zerqa river watershed, Northern Jordan. Agricultural Sciences, 8, 113–148.

    Google Scholar 

  • Fazelniya, G. H., Kiani, A., & Mahmodian, H. (2012). Locate and prioritize urban parks using GIS and TOPSIS model (The Case Study: Alashtar City). Human Geography Research,43(78), 20–22.

    Google Scholar 

  • Gajbhiye, S., Sharma, S. K., & Awasthi, M. K. (2015). Application of principal components analysis for interpretation and grouping of water quality parameters. International Journal Hybrid Information Technology,8(4), 89–96.

    Google Scholar 

  • Gajbhiye, S., Sharma, S. K., & Jha, M. (2010). Application of principal component analysis in the assessment of water quality parameters. Sci-fronts, A Journal of Multiple Science,4, 67–72.

    Google Scholar 

  • Gajbhiye, S., Sharma, S. K., & Meshram, C. (2014). Prioritization of watershed through sediment yield index using RS and GIS approach. International Journal of U & E Service Science and Technology,7(6), 47–60.

    Google Scholar 

  • Grohmann, C. H. (2004). Morphometric analysis in geographic information systems: Applications of free software GRASS and R star. Computers & Geosciences,30(10), 1055–1067.

    Google Scholar 

  • Horton, R. E. (1932). Drainage basin characteristics. Transactions of American Geophysics Union,13, 350–360.

    Google Scholar 

  • Horton, R. E. (1945). Erosional development of stream and their drainage basin: Hydrogeological approach to quantitative morphology. Bulletin of Geological Society of America,56, 275–370.

    Google Scholar 

  • Joshi, P. K., Rawat, G. S., Padaliya, H., & Roy, P. S. (2005). Land use/land cover identification in an Alpine and arid region (Nubra valley, Ladakh) using satellite remote sensing. Journal of Indian Society of Remote Sensing,33(4), 371–380.

    Google Scholar 

  • Kachchh. (2016). District Human Development Report: KACHCHH, Gujarat Social Infrastructure Development Society (GSIDS), Government of Gujarat, Gandhinagar.

  • Kadam, A. K., Jaweed, T. H., Kale, S. S., Umrikar, B. N., & Sankhua, R. N. (2019). Identification of erosion-prone areas using modified morphometric prioritization method and sediment production rate: A remote sensing and GIS approach. Geomatics Natural Hazards and Risk,10, 986–1006.

    Google Scholar 

  • Kadam, A. K., Jaweed, T. H., Umrikar, B. N., Hussain, K., & Sankhua, R. N. (2017). Morphometric prioritization of semi-arid watershed for plant growth potential using GIS technique. Modelling Earth Systems and Environment,3, 1663–1673.

    Google Scholar 

  • Maddahi, Z., Jalalian, A., Zarkesh, M. K., & Honarjo, N. (2017). Land suitability analysis for rice cultivation using a GIS-based fuzzy multi-criteria decision making approach: Central part of Amol District, Iran. Soil and Water Research, 12(1), 29–38.

    Google Scholar 

  • Malik, A., Kumar, A., & Kandpal, H. (2019). Morphometric analysis and prioritization of sub-watersheds in a hilly watershed using weighted sum approach. Arabian Journal of Geosciences,12, 118.

    Google Scholar 

  • Mangan, P., Haq, M. A., & Baral, P. (2019). Morphometric analysis of watershed using remote sensing and GIS: A case study of Nanganji River basin in Tamil Nadu. India. Arabian Journal of Geosciences,12, 202.

    Google Scholar 

  • Melton, M. A. (1957). An analysis of the relations among elements of climate, surface properties and geomorphology. Office of Naval Research (U.S.), Geography Branch, Project 389-042, Technical Report 11.

  • Meshram, S. G., & Sharma, S. K. (2017). Prioritization of sub-watersheds based on morphometric analysis using geospatial technique in Piperiya watershed, India. Applied Water Science,7, 329–338.

    Google Scholar 

  • Miller, V. C. (1953). A quantitative geomorphologic study of drainage basin characteristics in the Clinch mountain area, Virginia and Tennessee. Department of Geology—Columbia University, Technical Report 3.

  • Mishra, A., Kar, S., & Singh, V. P. (2007). Prioritizing structural management by quantifying the effect of land use and land cover on Watershed runoff and sediment yield. Water Resources Management,21(11), 1899–1913.

    Google Scholar 

  • Mishra, S., Singh, S., Johansen, J., Cheng, Y., & Farooq, S. (2019). Evaluating indicators for international manufacturing network under circular economy. Management Decision,57(4), 811–839.

    Google Scholar 

  • Mishra, S. K., Gajbhiye, S., & Pandey, A. (2013). Estimation of design runoff CN for Narmada watersheds. Journal of Applied Water Engineering and Research,1(1), 69–79.

    Google Scholar 

  • Muralikrishnan, S. (2012). Validation of Indian national DEM from Cartosat-1 Data. Journal of Indian Society of Remote Sensing,41(1), 1–13.

    Google Scholar 

  • Nag, S. K. (1998). Morphometric analysis using remote sensing techniques in the Chaka sub-basin, Purulia district, West Bengal. Journal of Indian Society of Remote Sensing,26(1&2), 69–76.

    Google Scholar 

  • Nag, S. K., & Chakraborty, S. (2003). Influence of rock types and structures in the development of drainage network in hard rock area. Journal of Indian Society of Remote Sensing,31(1), 25–35.

    Google Scholar 

  • Nautiyal, M. D. (1994). Morphometric analysis of drainage basin, district Dehradun, Uttar Pradesh. Journal of Indian Society of Remote Sensing,22(4), 252–262.

    Google Scholar 

  • Niraula, R., Kalin, L., Wang, R., & Srivastava, P. (2011). Determining nutrient and sediment critical source areas with SWAT: Effect of lumped calibration. Transactions of the ASABE,55(1), 137–147.

    Google Scholar 

  • Nookaratnam, K., Srivastava, Y. K., Venkateshwara Rao, V., Amminedu, E., & Murthy, K. S. R. (2005). Check dam positioning by prioritization of micro-watersheds using SYI Model and morphometric analysis- Remote Sensing and GIS Perspective. Journal of Indian Society of Remote Sensing,33(1), 25–38.

    Google Scholar 

  • Ouyang, Y., Nkedi-Kizza, P., Wu, Q. T., Shinde, D., & Huang, C. H. (2006). Assessment of seasonal variations in surface water quality. Water Research,40, 3800–3810.

    Google Scholar 

  • Pai, N., Saraswat, D., & Daniels, M. (2011). Identifying priority sub-watersheds in the Illinois river drainage area in Arkansas watershed using a distributed modeling approach. Transactions of the ASABE,54(6), 2181–2196.

    Google Scholar 

  • Pandey, A., Chowdary, V. M., Mal, B. C., & Billib, M. (2009). Application of the WEPP model for prioritization and evaluation of best management practices in an Indian watershed. Hydrological Processes,23(21), 2997–3005.

    Google Scholar 

  • Rao, L. A. K., Rehman, A. Z., & Alia, Y. (2011). Morphometric analysis of drainage basin using remote sensing and GIS techniques: a case study of Etmadpur Tehsil, Agra District, U.P. International Journal of Research in Chemistry and Environment,1(2), 36–45.

    Google Scholar 

  • Rekha, V. B., George, A. V., & Rita, M. (2011). Morphometric analysis and micro-watershed prioritization of Peruvanthanam sub-watershed, the Manimala River Basin, Kerala, South India. Environmental Research, Engineering and Management,3(57), 6–14.

    Google Scholar 

  • Saaty, T. L. (1980). The analytical hierarchy process. New York: McGraw-Hill.

    Google Scholar 

  • Saaty, T. L. (2005). Theory and applications of the analytic network process: Decision making with benefits, opportunities, costs, and risks. Pittsburgh: RWS Publications.

    Google Scholar 

  • Sahu, U., Panaskar, D., Wagh, V., & Mukate, S. (2018). An extraction, analysis, and prioritization of Asna river sub-basins, based on geomorphometric parameters using geospatial tools. Arabian Journal of Geosciences,11, 517.

    Google Scholar 

  • Said, S., Siddique, R., & Shakeel, M. (2018). Morphometric analysis and sub-watersheds prioritization of Nagmati River watershed, Kutch district, Gujarat using GIS based approach. Journal of Water and Land Development,39, 131–139.

    Google Scholar 

  • Schumm, S. A. (1956). Evolution of drainage systems and slopes in badlands at Perth Amboy, New Jersey. Geological Society of America Bulletin,67, 597–646.

    Google Scholar 

  • Sharma, S. K., Gajbhiye, S., & Prasad, T. (2009). Identification of influential geomorphological parameters for hydrologic modeling. Sci-fronts, A Journal of Multiple Science,3, 9–16.

    Google Scholar 

  • Sharma, S. K., Rajput, G. S., Tignath, S., & Pandey, R. P. (2010). Morphometric analysis of and prioritization of watershed using GIS. Journal of Indian Water Resources Society,30(2), 33–39.

    Google Scholar 

  • Shrestha, S., & Kazama, F. (2007). Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan. Environmental Modelling and Software,22, 464–475.

    Google Scholar 

  • Singh, N. (1994). Remote sensing in the evaluation of morphohydrological characteristics of the drainage basin of Jojri catchment. Annals of Arid Zone,33(4), 273–278.

    Google Scholar 

  • Singh, O., & Singh, J. (2018). Soil erosion susceptibility assessment of the lower Himachal Himalayan watershed. Journal of Geological Society of India,92, 157–165.

    Google Scholar 

  • Singh, R. L. (1967). Morphometric analysis of terrain. In Presidential address. Section: Geology and Geography. 54th Indian Science Congress. Hyderabad.

  • Sreedevi, P. D., Owais, S., Khan, H. H., & Ahmed, S. (2009). Morphometric analysis of a watershed of south India using SRTM data and GIS. Journal Geological Society of India,73(4), 543–552.

    Google Scholar 

  • Srinavasa, V. S., Govindaonah, S., & Home, G. H. (2004). Morphometric analysis of sub watersheds in the Pawagada area of Tumkur district south India using remote sensing and GIS techniques. Journal of Indian Society of Remote Sensing,32(4), 351–362.

    Google Scholar 

  • Srivastava, V. K. (1997). Study of drainage pattern of Jharia coal field (Bihar), India, through remote sensing technology. Journal of Indian Society of Remote Sensing,25(1), 41–46.

    Google Scholar 

  • Strahler, A. N. (1957). Quantitative analysis of American geomorphology transactions. American Geophysical Union,38, 913–920.

    Google Scholar 

  • Strahler, A. N. (1964). Quantitative geomorphology of drainage basins and channel networks. In V. T. Chow (Ed.), Handbook of applied hydrology (pp. 439–476). New York: McGraw Hill.

    Google Scholar 

  • Ting, C., Haizhen, W., Jialiang, Q., Jinnan, Q., Yuanxin, Y., Yong, W., et al. (2019). In vitro evaluation by PCA and AHP of potential antidiabetic properties of lactic acid bacteria isolated from traditional fermented food. LWT-Food Science and Technology,115, 108455.

    Google Scholar 

  • Tiwari, K. R., Bajracharya, R. M., & Sitaula, B. K. (2008). Natural resource and watershed management in South Asia: A comparative evaluation with special references to Nepal. The Journal of Agriculture and Environment,9, 72–89.

    Google Scholar 

  • Vivien, Y. C., Hui, P. L., Chui, H. L., James, J. H. L., Gwo, H. T., & Lung, S. Y. (2011). Fuzzy MCDM approach for selecting the best environment-watershed plan. Journal of Applied Soft Computing,11, 265–275.

    Google Scholar 

  • Zavoianu, I. (1985). Morphometry of drainage basins (Developments in Water Science). Amsterdam: Elsevier.

    Google Scholar 

  • Zhang, H., Yang, L., & Li, M. (2019). A novel comprehensive model of suitability analysis for matching area in underwater geomagnetic aided inertial navigation. Mathematical Problems in Engineering,4, 1–11.

    Google Scholar 

  • Zhou, J. L., & Lei, Y. (2018). Paths between latent and active errors: Analysis of 407 railway accidents/incidents’ causes in China. Safety Science,110(B), 47–58.

    Google Scholar 

  • Zhou, J. L., Xu, Q. Q., & Zhang, X. Y. (2018). Water resources and sustainability assessment based on group AHP-PCA Method: A Case Study in the Jinsha River Basin. Water,10, 1880.

    Google Scholar 

  • Zolekar, R. B., & Bhagat, V. S. (2015). Multi-criteria land suitability analysis for agriculture in hilly zone: Remote sensing and GIS approach. Computers and Electronics in Agriculture, 118, 300–321.

    Google Scholar 

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The authors wish to acknowledge anonymous reviewers for useful comments and suggestions to improve the manuscript.

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Siddiqui, R., Said, S. & Shakeel, M. Nagmati River Sub-watershed Prioritization Using PCA, Integrated PCWS, and AHP: A Case Study. Nat Resour Res 29, 2411–2430 (2020). https://doi.org/10.1007/s11053-020-09622-6

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