Geospatial Perspective for Innovative Planning and Management of Watershed

K Ibrahim Bathis; Ashfaq Syed Ahmed; V Nischitha

doi:10.53989/bu.ge.v12i1.1

Article

VIEWS 594
PDF 209

Geo-Eye

DOI: 10.53989/bu.ge.v12i1.1

Year: 2023, Volume: 12, Issue: 1, Pages: 1-11

Original Article

Geospatial Perspective for Innovative Planning and Management of Watershed

K Ibrahim-Bathis^1*, Ashfaq Syed Ahmed², V Nischitha³

¹Kerala State Council for Science, Technology and Environment, Thiruvananthapuram, Kerala, India
²Department of Applied Geology, Kuvempu University, Shivamogga, Karnataka, India
³Department of Geography and Geoinformatics, Bangalore University, Bangalore, Karnataka, India

*Corresponding Author
Email: [email protected]

Received Date:08 February 2023, Accepted Date:18 May 2023

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Innovative watershed management is intense to unravelling watershed related problems on a sustainable manner. Planning and managing developmental practices in the watershed on a sustainable basis usually integrate water or land and both in the present in such a way to attain its goal in the future also. The water-related problems in rain-fed agriculture are often related to high intensity and short duration rainfall, with large spatial and temporal variability, rather than to the low cumulative amount of rainfall. For the innovative planning and Management in the watershed, analysing land degradation through the prioritisation watersheds, assessing the surface runoff, evaluating the Spatio-temporal distribution of the hydrological constraints, groundwater potential zone delineations and the suitable sites for the Rainwater Harvesting (RWH) are considered by spatial multi-criteria evaluation from the several thematic layers that are determined from the remote sensing and GIS technologies. These innovative spatial technologies contribute to reducing vulnerability to climate change and help minimise or even reverse land degradation. The sustainable RWH will improve the surface and ground water level, this in turn improve the economy of the watershed.

Keywords: Geospatial, Innovations, Watershed, Rainfed agriculture, Prioritisation, Groundwater

References

Said A, Sehlke G, Stevens DK, Glover T, Sorensen D, Walker W, et al. Exploring an innovative watershed management approach: From feasibility to sustainability. Energy. 2006;31(13):2373–2386. Available from: https://doi.org/10.1016/j.energy.2006.02.002
Chowdary VM, Ramakrishnan D, Srivastava YK, Chandran V, Jeyaram A. Integrated Water Resource Development Plan for Sustainable Management of Mayurakshi Watershed, India using Remote Sensing and GIS. Water Resources Management. 2009;23(8):1581–1602. Available from: https://doi.org/10.1007/s11269-008-9342-9
Ibrahim-Bathis K, Ahmed SA. Geospatial technology for delineating groundwater potential zones in Doddahalla watershed of Chitradurga district, India. The Egyptian Journal of Remote Sensing and Space Science. 2016;19(2):223–234. Available from: https://doi.org/10.1016/j.ejrs.2016.06.002
Ibrahim-Bathis K, Ahmed SA. Rainfall-runoff modelling of Doddahalla watershed—an application of HEC-HMS and SCN-CN in ungauged agricultural watershed. Arabian Journal of Geosciences. 2016;9(3). Available from: https://doi.org/10.1007/s12517-015-2228-2
Ibrahim-Bathis K, Ahmed SA. Evaluation of Morphometric Parameters – A comparative study from Cartosat DEM, SRTM and SOI Toposheet in Karabayyanahalli sub-watershed, Karnataka. International Journal of Research (IJR). 2014;1(11):679–688. Available from: https://www.researchgate.net/publication/271210211_EVALUATION_OF_MORPHOMETRIC_PARAMETERS_-_A_COMPARATIVE_STUDY_FROM_CARTOSAT_DEM_SRTM_AND_SOI_TOPOSHEET_IN_KARABAYYANAHALLI_SUB_WATERSHED_KARNATAKA_Ibrahim_Bathis_K_S_A_Ahmed
Ibrahim-Bathis K, Ahmed SA. Morphometric Analysis and Prioritisation of Sub-Watershed Using CartoDEM: A Case Study of Doddahalla Watershed. Research and Reviews: Journal of Engineering and Technology. 2013;2(3 (Supplement)):12–17. Available from: https://www.researchgate.net/publication/271210523_MORPHOMETRIC_ANALYSIS_AND_PRIORITISATION_OF_SUB_WATERSHED_USING_CARTODEM_A_CASE_STUDY_OF_DODDAHALLA_WATERSHED_CHITRADURGA_INDIA
Biswas S, Sudharakar S, Desai VR. Prioritisation of subwatersheds based on morphometric analysis of drainage basin: a remote sensing and gis approach. Journal of lndian Society of Remote Sensing. 1999;27(2):155–166. Available from: https://doi.org/10.1007/BF02991569
Ahmed SA, Chandrashekarappa KN, Raj SK, Nischitha V, Kavitha G. Evaluation of morphometric parameters derived from ASTER and SRTM DEM — A study on Bandihole sub-watershed basin in Karnataka. Journal of the Indian Society of Remote Sensing. 2010;38(2):227–238. Available from: https://doi.org/10.1007/s12524-010-0029-3
Brouwer C, Prins K, Kay M, Heibloem M. Irrigation Water Management: Irrigation Methods (Training manual no 5). Rome, Italy. Food and Agriculture Organization. 1988.
Omuto CT, Gumbe LO. Estimating water infiltration and retention characteristics using a computer program in R. Computers & Geosciences. 2009;35(3):579–585. Available from: https://doi.org/10.1016/j.cageo.2008.08.011
Zhao L, Wang L, Liang X, Wang J, Wu F. Soil Surface Roughness Effects on Infiltration Process of a Cultivated Slopes on the Loess Plateau of China. Water Resources Management. 2013;27(14):4759–4771. Available from: https://doi.org/10.1007/s11269-013-0428-7
Ma Y, Feng S, Su D, Gao G, Huo Z. Modeling water infiltration in a large layered soil column with a modified Green–Ampt model and HYDRUS-1D. Computers and Electronics in Agriculture. 2010;71(Supplement 1):S40–S47. Available from: https://doi.org/10.1016/j.compag.2009.07.006
Ali ZI, Lajili L, MZ. Rainfall-runoff modeling for predictive infiltration and recharge areas for water management in semi-arid basin: a case study from Saadine watershed, Tunisia. Arabian Journal of Geosciences. 2015;9. Available from: https://doi.org/10.1007/s12517-015-2049-3
Machiwal D, Jha MK, Mal BC. Modelling Infiltration and quantifying Spatial Soil Variability in a Wasteland of Kharagpur, India. Biosystems Engineering. 2006;95(4):569–582. Available from: https://doi.org/10.1016/j.biosystemseng.2006.08.007
Pedretti D, Fernàndez-Garcia D, Sanchez-Vila X, Barahona-Palomo M, Bolster D. Combining physical-based models and satellite images for the spatio-temporal assessment of soil infiltration capacity. Stochastic Environmental Research and Risk Assessment. 2011;25(8):1065–1075. Available from: https://doi.org/10.1007/s00477-011-0486-4
Nampak H, Pradhan B, Manap MA. Application of GIS based data driven evidential belief function model to predict groundwater potential zonation. Journal of Hydrology. 2014;513:283–300. Available from: https://doi.org/10.1016/j.jhydrol.2014.02.053
Ismail M, Yacoub RK. Digital soil map using the capability of new technology in Sugar Beet area, Nubariya, Egypt. The Egyptian Journal of Remote Sensing and Space Science. 2012;15(2):113–124. Available from: https://doi.org/10.1016/j.ejrs.2012.08.001
Pradhan B. Groundwater potential zonation for basaltic watersheds using satellite remote sensing data and GIS techniques. Central European Journal of Geosciences . 2009;1(1):120–129. Available from: https://doi.org/10.2478/v10085-009-0008-5
Ayazi MH, Pirasteh S, Arvin AKP, Pradhan B, Nikouravan B, Mansor S. Disasters and risk reduction in groundwater: Zagros Mountain Southwest Iran using geoinformatics techniques. Disaster Advances. 2010;3(1):1–8. Available from: https://www.researchgate.net/publication/210330520_Disasters_and_Risk_Reduction_in_Groundwater_Zagros_Mountain_Southwest_Iran_Using_Geoinformatics_Techniques
Manap MA, Nampak H, Pradhan B, Lee S, Sulaiman WNA, Ramli MF. Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS. Arabian Journal of Geosciences. 2014;7(2):711–724. Available from: https://doi.org/10.1007/s12517-012-0795-z
Konkul J, Rojborwornwittaya W, Chotpantarat S. Hydrogeologic characteristics and groundwater potentiality mapping using potential surface analysis in the Huay Sai area. Geosciences Journal. 2014;18(1):89–103. Available from: https://doi.org/10.1007/s12303-013-0047-6
Ground Water Information Booklet: Chitradurga District, Karnataka State. Central Ground Water Board (CGWB). 2013.
Sreedevi PD, Owais S, Khan HH, Ahmed S. Morphometric analysis of a watershed of South India using SRTM data and GIS. Journal of the Geological Society of India. 2009;73(4):543–552. Available from: https://doi.org/10.1007/s12594-009-0038-4
Assatse WT, Nouck PN, Tabod CT, Akame JM, Biringanine GN. Hydrogeological activity of lineaments in Yaounde Cameroon region using remote sensing and GIS Techniques. The Egyptian Journal of Remote Sensing and Space Science. 2016;19(1):49–60. Available from: https://doi.org/10.1016/j.ejrs.2015.12.006
Barron J, Rockström J, Gichuki F, Hatibu N. Dry spell analysis and maize yields for two semi-arid locations in east Africa. Agricultural and Forest Meteorology. 2003;117(1-2):23–37. Available from: https://doi.org/10.1016/S0168-1923(03)00037-6
Ziadat F, Bruggeman A, Oweis T, Haddad N, Mazahreh S, Sartawi W, et al. A Participatory GIS Approach for Assessing Land Suitability for Rainwater Harvesting in an Arid Rangeland Environment. Arid Land Research and Management. 2012;26(4):297–311. Available from: https://doi.org/10.1080/15324982.2012.709214
Glendenning CJ, Ogtrop FFV, Mishra AK, Vervoort RW. Balancing watershed and local scale impacts of rain water harvesting in India—A review. Agricultural Water Management. 2012;107:1–13. Available from: https://doi.org/10.1016/j.agwat.2012.01.011
Shah A. Watershed development programs in India: emerging issues for environment-development perspectives. Economic and Political Weekly. 1998;33(26):66–79. Available from: https://www.jstor.org/stable/4406931
Sekar I, Randhir TO. Spatial assessment of conjunctive water harvesting potential in watershed systems. Journal of Hydrology. 2007;334(1-2):39–52. Available from: https://doi.org/10.1016/j.jhydrol.2006.09.024
Oweis T, Oberle A, Prinz D. Determination of potential sites and methods for water harvesting in Central Syria. In: Towards sustainable land use. Furthering cooperation between people and institutions. Volume 1. Proceedings of the International Soil Conservation Organisation, Advances in Geoecology. (Vol. 1, pp. 83-88) 1998.
Yousif M, Bubenzer O. Geoinformatics application for assessing the potential of rainwater harvesting in arid regions. Case study: El Daba’a area, Northwestern Coast of Egypt. Arabian Journal of Geosciences. 2015;8(11):9169–9191. Available from: https://doi.org/10.1007/s12517-015-1837-0
Ibrahim-Bathis K, Ahmed SA, Nischitha V, Mohammed-Aslam MA. Crop Water Requirements Analysis Using Geoinformatics Techniques in the Water-Scarce Semi-Arid Watershed. In: Pandey PC, Sharma LK., eds. Advances in Remote Sensing for Natural Resource Monitoring. (pp. 81-93) John Wiley; Sons, Ltd. 2021.

Copyright

© 2023 Ibrahim-Bathis et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published By Bangalore University, Bengaluru, Karnataka