Abstract
The present work has been conducted to comprehend multi-influencing parameters on water and soil degradation in watershed to undertake the diminution of the drought impact on farming areas caused by the proclaimed climate change. The current work involves the employment of the analytical hierarchy process (AHP) method as a decisional multi-influencing parameter approach for watershed vulnerability prioritization areas in order to ensure water and soil conservation based on various water and soil hazard conservation parameters. To perform the prioritization of the vulnerable zones, the Chiba watershed which is part of Cap-Bon region in the governorate of Nabeul, northestern Tunisia, has been chosen and subdivided into sixteen subwatersheds. To handle with the decisional approach for watershed vulnerability prioritization, the initial dataset comprises six basic parameters such as rainfall, soil texture, slop class, land use/land cover, drainage density, and lithology. Water and soil hazard index (WSHI) model was established based on five thematic layers, namely soil erosion (SE), deposit rate (DR), deposit erosion index (DEI), runoff capacity (RC), and land adaptation capacity (LAC). Results show that 8 subwatersheds are the most vulnerable where 4 subwatersheds (CH5, CH3, CH1, and CH2) are falling under very high priority zone and 4 subwatersheds (CH15, CH8, CH9, and CH6) under high priority. Accordingly, water and soil conservation actions in these zones should be executed quickly according to various specific techniques to protect the farming areas and ensure a sustainable development of these rural zones. The proposed method can be employed effectively in prioritization of water and soil conservation measures and can help decision makers in the establishment of development plan of catchment area.
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Data availability
Data are available from the U.S. Geological Survey and the Regional Commissary for Agricultural Development Nabeul – CRDA Nabeul (agricultural map).
References
Abouabdillah A, White M, Arnold JG, De Girolamo AM, Oueslati O, Maataoui A, Lo Porto A (2014) Evaluation of soil and water conservation measures in a semi-arid river basin in Tunisia using SWAT. Soil Use Manag 30(4):539–549. https://doi.org/10.1111/sum.12146
Adhami M, Sadeghi SH (2016) Sub-watershed prioritization based on sediment yield using game theory. J Hydrol 541:977–987. https://doi.org/10.1016/j.jhydrol.2016.08.008
Arefin R, Mohir MMI, Alam J (2020) Watershed prioritization for soil and water conservation aspect using GIS and remote sensing: PCA-based approach at northern elevated tract Bangladesh. Appl Water Sci 10(4):1–19. https://doi.org/10.1007/s13201-020-1176-5
Berihun ML, Tsunekawa A, Haregeweyn N, Dile YT, Tsubo M, Fenta AA, ... and Srinivasan R (2020) Evaluating runoff and sediment responses to soil and water conservation practices by employing alternative modeling approaches. Sci Total Environ 747 141118 https://doi.org/10.1016/j.scitotenv.2020.141118
Bird DN, Benabdallah S, Gouda N, Hummel F, Koeberl J, La Jeunesse I, ... and Woess-Gallasch S (2016) Modelling climate change impacts on and adaptation strategies for agriculture in Sardinia and Tunisia using AquaCrop and value-at-risk. Sci Total Environ 543 1019-1027https://doi.org/10.1016/j.scitotenv.2015.07.035
Chafai A, Brahim N, Shimi NS (2020) Mapping of water erosion by GIS/RUSLE approach: watershed Ayda river—Tunisia study. Arab J Geosci 13(16):1–14. https://doi.org/10.1007/s12517-020-05774-0
Chemingui MA, and Dessus S (2003) Food security in Tunisia: trends and policy options. In Food, agriculture, and economic policy in the Middle East and North Africa. Emerald Group Publishing Limited, Bingley, pp. 187–207. https://doi.org/10.1016/S1094-5334(03)05012-X
Chenini I, Msaddek MH (2020) Groundwater recharge susceptibility mapping using logistic regression model and bivariate statistical analysis. Q J Eng GeolHydrogeol 53(2):167–175. https://doi.org/10.1144/qjegh2019-047
Chenini I, Kouzana L, Msaddek MH (2018) Quantitative assessment of the runoff index in an urbanized watershed. Environ Geosci 25(2):65–73. https://doi.org/10.1306/eg.01241817015
Chenini I, Zghibi A, Msaddek MH, Dlala M (2018) Groundwater vulnerability mapping in urbanized hydrological system using modified drastic model and sensitivity analysis. Environ Eng Geosci 24(3):293–304. https://doi.org/10.2113/EEG-1967
Chowdary VM, Chakraborthy D, Jeyaram A, Murthy YK, Sharma JR, Dadhwal VK (2013) Multi-criteria decision making approach for watershed prioritization using analytic hierarchy process technique and GIS. Water Resour Manage 27(10):3555–3571. https://doi.org/10.1007/s11269-013-0364-6
Dutta S (2016) Soil erosion, sediment yield and sedimentation of reservoir: a review. Model Earth Syst Environ 2(3):1–18. https://doi.org/10.1007/s40808-016-0182-y
Fallah M, Kavian A, Omidvar E (2016) Watershed prioritization in order to implement soil and water conservation practices. Environ Earth Sci 75(18):1–17. https://doi.org/10.1007/s12665-016-6035-1
Farhan Y, Anbar A, Al-Shaikh N, Mousa R (2016) Prioritization of semi-arid agricultural watershed using morphometric and principal component analysis, remote sensing, and GIS techniques, the Zerqa River Watershed Northern Jordan. Agric Sci 8(1):113–148. https://doi.org/10.4236/as.2017.81009
Gashaw T, Tulu T, Argaw M, Worqlul AW (2018) Land capability classification for planning land uses in the Geleda watershed, Blue Nile Basin. Ethiop Model Earth Syst Environ 4(2):489–499. https://doi.org/10.1007/s40808-018-0448-7
Jain SK, Goel MK (2002) Assessing the vulnerability to soil erosion of the Ukai Dam catchments using remote sensing and GIS. Hydrol Sci J 47(1):31–40. https://doi.org/10.1080/02626660209492905
Jaiswal RK, Thomas T, Galkate RV, Ghosh NC, Singh S (2014) Watershed prioritization using Saaty’s AHP based decision support for soil conservation measures. Water Resour Manage 28(2):475–494. https://doi.org/10.1007/s11269-013-0494-x
Javed A, Khanday MY, Rais S (2011) Watershed prioritization using morphometric and land use/land cover parameters: a remote sensing and GIS based approach. J Geol Soc India 78(1):63. https://doi.org/10.1007/s12594-011-0068-6
Jebari S, Berndtsson R, Bahri A, Boufaroua M (2010) Spatial soil loss risk and reservoir siltation in semi-arid Tunisia. Hydrol Sci J-J Sci Hydrol 55(1):121–137. https://doi.org/10.1080/02626660903529049
Jendoubi D, Hossain MS, Giger M, Tomićević-Dubljević J, Ouessar M, Liniger H, Speranza CI (2020) Local livelihoods and land users’ perceptions of land degradation in northwest Tunisia. Environ Dev 33:100507. https://doi.org/10.1016/j.envdev.2020.100507
Kadam AK, Kale SS, Pande NN, Pawar NJ, Sankhua RN (2012) Identifying potential rainwater harvesting sites of a semi-arid, basaltic region of Western India, using SCS-CN method. Water Resour Manage 26(9):2537–2554. https://doi.org/10.1007/s11269-012-0031-3
Kadam A, Karnewar AS, Umrikar B, Sankhua RN (2019) Hydrological response-based watershed prioritization in semiarid, basaltic region of western India using frequency ratio, fuzzy logic and AHP method. Environ Dev Sustain 21(4):1809–1833. https://doi.org/10.1007/s10668-018-0104-4
López-Pérez A, Fernández-Reynoso DS (2021) Watershed prioritization using morphometric analysis and vegetation index: a case study of Huehuetan river sub-basin. Mex Arab J Geosci 14(18):1–21. https://doi.org/10.1007/s12517-021-08212-x
Malik A, Kumar A, Kandpal H (2019) Morphometric analysis and prioritization of sub-watersheds in a hilly watershed using weighted sum approach. Arab J Geosci 12(4):118. https://doi.org/10.1007/s12517-019-4310-7
Malik A, Kumar A, Kushwaha DP, Kisi O, Salih SQ, Al-Ansari N, Yaseen ZM (2019) The implementation of a hybrid model for hilly sub-watershed prioritization using morphometric variables: Case study in India. Water 11(6):1138. https://doi.org/10.3390/w11061138
Markose VJ, Jayappa KS (2016) Soil loss estimation and prioritization of sub-watersheds of Kali River basin, Karnataka, India, using RUSLE and GIS. Environ Monit Assess 188(4):225. https://doi.org/10.1007/s10661-016-5218-2
Martin D, Saha SK (2007) Integrated approach of using remote sensing and GIS to study watershed prioritization and productivity. J Indian Soc Remote Sens 35(1):21–30. https://doi.org/10.1007/BF02991830
Mekki I, Zitouna-Chebbi R (2021) Assessing the blue and green water resources use for regional crop production in a semi arid area (the Cap Bon case study, Tunisia). In: Khebour Allouche F., Abu-hashim M., Negm A.M. (eds) Agriculture productivity in tunisia under stressed environment. Springer Water Springer, Cham. https://doi.org/10.1007/978-3-030-74660-5_1
Mishra A, Kar S, Singh VP (2007) Prioritizing structural management by quantifying the effect of land use and land cover on watershed runoff and sediment yield. Water Resour Manage 21(11):1899–1913. https://doi.org/10.1007/s11269-006-9136-x
Msaddek MH, Souissi D, Moumni Y, Chenini I, Bouaziz N, Dlala M (2019) Groundwater potentiality assessment in an arid zone using a statistical approach and multi-criteria evaluation, southwestern Tunisia. Geol Quarterly 63(1):3–15. https://doi.org/10.7306/gq.1451
Mundetia N, Sharma D, Dubey SK (2018) Morphometric assessment and sub-watershed prioritization of Khari River basin in semi-arid region of Rajasthan. India Arabian J Geosci 11(18):1–18. https://doi.org/10.1007/s12517-018-3819-5
Pandey M, and Sharma PK (2017) Remote sensing and GIS based watershed prioritization. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017, pp. 6182–6185. https://doi.org/10.1109/IGARSS.2017.8128420
Pathare JA, Pathare AR (2021) Watershed prioritization for soil and water conservation in Darna River basin: a PCA approach. Sustain Water Resour Manag 7(4):1–15. https://doi.org/10.1007/s40899-021-00531-x
Rajasekhar M, Gadhiraju SR, Kadam A, Bhagat V (2020) Identification of groundwater recharge-based potential rainwater harvesting sites for sustainable development of a semiarid region of southern India using geospatial, AHP, and SCS-CN approach. Arab J Geosci 13(1):1–19. https://doi.org/10.1007/s12517-019-4996-6
Rawat KS, Singh SK (2017) Estimation of surface runoff from semi-arid ungauged agricultural watershed using SCS-CN method and earth observation data sets. Water Conserv Sci Eng 1(4):233–247. https://doi.org/10.1007/s41101-017-0016-4
Saaty TL (1988) What is the analytic hierarchy process?. In: Mitra G, Greenberg HJ, Lootsma FA, Rijkaert MJ, Zimmermann HJ (eds) Mathematical models for decision support. NATO ASI series, vol 48. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83555-1_5
Sarma S, Saikia T (2012) Prioritization of sub-watersheds in Khanapara-Bornihat area of Assam-Meghalaya (India) based on land use and slope analysis using remote sensing and GIS. J Indian Soc Remote Sens 40(3):435–446. https://doi.org/10.1007/s12524-011-0163-6
Schiettecatte W, Ouessar M, Gabriels D, Tanghe S, Heirman S, Abdelli F (2005) Impact of water harvesting techniques on soil and water conservation: a case study on a micro catchment in southeastern Tunisia. J Arid Environ 61(2):297–313. https://doi.org/10.1016/j.jaridenv.2004.09.022
Sharma S, Mahajan AK (2020) GIS-based sub-watershed prioritization through morphometric analysis in the outer Himalayan region of India. Appl Water Sci 10(7):1–11. https://doi.org/10.1007/s13201-020-01243-x
Souissi A, Mtimet N, Thabet C, Stambouli T, Chebil A (2019) Impact of food consumption on water footprint and food security in Tunisia. Food Secur 11(5):989–1008. https://doi.org/10.1007/s12571-019-00966-3
Sujatha ER, Selvakumar R, Rajasimman B (2014) Watershed prioritization of Palar sub-watershed based on the morphometric and land use analysis. J Mt Sci 11(4):906–916. https://doi.org/10.1007/s11629-012-2628-7
Zghibi A, Tarhouni J, Zouhri L (2013) Assessment of seawater intrusion and nitrate contamination on the groundwater quality in the Korba coastal plain of Cap-Bon (North-east of Tunisia). J Afr Earth Sc 87:1–12. https://doi.org/10.1016/j.jafrearsci.2013.07.009
Zghibi A, Mirchi A, Msaddek MH, Merzougui A, Zouhri L, Taupin JD, ... and Tarhouni J (2020) Using analytical hierarchy process and multi-influencing factors to map groundwater recharge zones in a semi-arid Mediterranean coastal aquifer. Water, 12(9) 2525https://doi.org/10.3390/w12092525
Acknowledgements
The first author appreciates the support of Tunis El Manar University. The authors would like to thank the staff of the Regional Commissariat for Agricultural Development of Nabeul, its local representatives and the Tunisian Union of Agriculture and Fisheries for their support and interest in this work. We appreciate logistical support from the National Academies of Sciences, Engineering and Medicine (NASEM).
Funding
This research was funded by the United States Agency for International Development (USAID) through Partnerships for Enhanced Engagement in Research (PEER; Grant number 7-444).
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Msaddek, M.H., Merzougui, A., Zghibi, A. et al. Integrated decisional approach for watershed vulnerability prioritization using water and soil hazard index (WSHI) and AHP methods: Chiba watershed, Cap-Bon region, northeast Tunisia. Arab J Geosci 15, 1148 (2022). https://doi.org/10.1007/s12517-022-10264-6
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DOI: https://doi.org/10.1007/s12517-022-10264-6