Simulation of the impact of land use change on surface run-off in Karst Leang Lonrong Sub-Watershed
Abstract
Estimation of surface run-off in karst watersheds has not been widely carried out and the estimation method is generally developed for non-karst watersheds. This study aims to analyze the accuracy of estimation of river discharge at the outlet of the Karst Biringere Sub-watershed using the modified Soil Conservation Service Curve Number (SCS-CN) method and analyzed the impact of land use change on river discharge at the outlet of the Karst Biringere Sub-watershed. Modification of the SCS-CN method in estimating direct flow at the outlet of the Beringere Sub-watershed is influenced by the similarity of rainfall and direct flow fluctuation of river discharge. The modified SCS-CN method provides satisfactory direct flow estimation when rainfall with observed direct flow of river discharge forms a linear relationship with a strong correlation. Changes in land use with reduced forest cover into mining areas result in increased run-off and reduced storage, the larger the forest land becomes mining areas, the greater the increase in run-off and reduction in storage. Reclamation of the former mining area to be a forest reduces run-off and increases water storage.
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Sloto R A and Crouse M Y. 1996. HYSEP: A computer program for streamflow hydrograph separation and analysis. U.S. Geological Survey, Water-Resources Investigations, Report 96-4040 Pennsylvania, 46 p.
Verma S,Verma RK, Mishra SK, Singh A, Jayaraj GK. 2017. A revisit of NRCS-CN inspired models coupled with rs and gis for run-off estimation. Hydrological Sciences Journal, 62:1891–1930. https://doi.org/10.1080/02626667.2017.1334166.
Wang Y, Shao J, Su C, Cui Y, Zhang Q. 2019. The application of improved swat model to hydrological cycle study in karst area of South China. Sustainability, 11:5024. doi:10.3390/su11185024.
Wang F, Chen H, Lian J, Fu Z, Nie Y.2020. Seasonal recharge of spring and stream waters in a karst catchment revealed by isotopic and hydrochemical analyses. Journal of Hydrology. doi:https://doi.org/10.1016/j.jhydrol.2020.125595.
Adji TN, Cahyadi A. 2016, The Importance of Monitoring Hydrographic Parameters in Groundwater Management in Karst Areas (Indonesian). APCE-UNESCO National Seminar on Ecohydraulics. Yogyakarta. 12-14 October 2016.
Ajmal M, Waseem M, Kim D, Kim Tae-Woong. 2020. A pragmatic slope-adjusted curve number model to reduce uncertainty in predicting flood runo_ from steep watersheds. Water 12, 1469. doi:10.3390/w12051469
Ahcmad A. 2011. Secrets of the Limestone Hill Forest Ecosystem (Indonesian). Brilian Internasional: Surabaya.
Arsyad M, Pawitan H, Sidauruk P, Putri EIK. 2014. Analysis of underground river water availability and its sustainable uses at karst maros area in South Sulawesi. J. Manusia Dan Lingkungan. 21(1): 8-14.
Bittner D, Naranya TS, Kohlb B, Dissea M, Chiogna G. 2018. Modeling the hydrological impact of land use change in a dolomitedominated karst system. Journal Of Hydrology. 567:267–279. doi.org/10.1016/j.jhydrol.2018.10.017.
Budiyanto E. 2015. The role of remote sensing technology for karst rock desertification studies (Indonesian). Jurnal geografi. 13 (2):104-115
Chen Zhao, Auler Augusto S, Bakalowicz Michel, Drew David, Franziska Griger, Jens Hartmann, Guanghui Jiang, Nils Moosdorf, Andrea Richts, Zoran Stevanovic9 et al. 2017. The World Karst Aquifer Mapping project: concept, mapping procedure and map of Europe. J Hydrogeol, 25:771–785. DOI 10.1007/s10040-016-1519-3
Dai Q, Peng X, Yang Z, Zhao L. 2017. Run-off and erosion processes on bare slopes in the karst Rocky Desertification Area. Catena 152:218–226 . Http://Dx.Doi.Org/10.1016/J.Catena.2017.01.013
Deshmukh, D.S.; Chaube, U.C.; Hailu, A.E.; Gudeta, D.A.; Kassa, M.T. 2013. Estimation and comparison of curve numbers based on dynamic land use land cover change, observed rainfall-runoff data and land slope. J. Hydrology 492:89–101. https://doi.org/10.1016/j.jhydrol.2013.04.001
Ford, DC, Williams PW, 2007. Karst Hydrogeology And Geomorphology. Chichester: John Wiley & Sons.
Hartmann A. Goldscheide N. Wagener T. Lange J. Weiler M. 2014). Karst water resources in a changing world: Review of hydrological modeling approaches, Rev. Geophys.52. doi:10.1002/2013RG000443.
Iacobellis V, Castorani A, Santo ARD, Gioia A. 2015. Rationale for flood prediction in karst endorheic areas. Journal of Arid Environments. 112:98-108.
Geekiyanage N, Uromi Manage Goodale UM, Cao K, Kitajima K. 2019.Plant ecology of tropical and subtropical karst ecosystems. Biotropica. 00:1–15. DOI: 10.1111/btp.12696
Indarto, Novita E, Wahyuningsih S. 2016. Preliminary study on baseflow separation at watersheds in East Java Regions. Agriculture and Agricultural Science Procedia, 9:538–550.
Jaya INS. 2007. Digital Image Analysis: Remote Sensing Perspectives for Natural Resource Management (Indonesian). Bogor: Faculty of Forestry IPB.
Kastridis A, Theodosiou G, Fotiadis G. 2021. Investigation of flood management and mitigation measures in Ungauged NATURA ProtectedWatersheds. Hydrology, 8 (170) https://doi.org/10.3390/hydrology8040170.
Kastridis A dan Stathis D. 2020. Evaluation of hydrological and hydraulic models applied in typical mediterranean ungauged watersheds using post-flash-flood measurements. Hydrology. 7(12). doi:10.3390/hydrology7010012
Kovacic G, Petric M, Ravbar N. 2020. Evaluation and quantification of the effects of climate and vegetation cover change on karst water sources: case studies of two springs in south-western slovenia. Water. 12 (11):3087. https://doi.org/10.3390/w12113087
Lal M, Mishra S, Pandey A, Pandey R, Meena P, Chaudhary A, Jha RK, Shreevastava AK, Kumar Y. 2017. Evaluation of the soil conservation service curve number methodology using data from agricultural plots. Hydrogeol. J. 25:151–167.
Lang Y, Song W, Deng X. 2017. Projected land use changes impacts on water yields in the karst mountain areas of China. Physics and Chemistry of the Earth, Parts A/B/C. 104:66-75. https://doi.org/10.1016/j.pce.2017.11.001
Manna A dan Maiti R. 2015. Alteration of surface water hydrology by opencast mining in the raniganj coalfield area, India. Mine Water Environ. Springer-Verlag Berlin Heidelberg. DOI 10.1007/s10230-015-0342-8
Merheb M, Moussa R, Abdallah C, Colin F, Perrin C, Baghdadi N. 2016. Hydrological response characteristics of mediterranean catchments at different time scales: a meta-analysis. Hydrology Sci. 61:2520–2539. https://doi.org/10.1080/02626667.2016.1140174
Mo C, Wang Y, Ruan Y, Qin J, Zhang M, Sun G, Jin J. 2021. The effect of karst system occurrence on flood peaks in small watersheds, southwest China. Hydrology Research. 52 (1):305–322. https://doi.org/10.2166/nh.2020.061
Parvez M B end M Inayathulla. 2019. Estimation of surface run-off by soil conservation service curve number model for Upper Cauvery Karnataka. International Journal of Scientific Research in Multidisciplinary Studies. 5 (11):07-17.
Parvez MB, Thankachan A, Chalapathi K, Inayathulla M, Chithaiah E. 2020. Geospatial technique for run-off estimation based on soil conservation service curve number method in upper Cauvery Karnataka. Australian Journal of Science and Technology, 4 (1).
Ramadan A N A, Nurmayadi D, Sadili Anwar, Solihin Rega R, Sumardi Zefri. 2020. Pataruman watershed curve number determination study based on Indonesia land map unit. Media Komunikasi Teknik Sipil, 26 (2):258-266. https://doi.org/10.14710/mkts.v26i2.26563
Sapountzis M, Kastridis A, Kazamias AP, Karagiannidis A, Nikopoulos P, Lagouvardos K. 2021. Utilization and uncertainties of satellite precipitation data in flash flood hydrological analysis in ungauged watersheds. Global NEST Journal, 23 (10):1-12. https://doi.org/10.30955/gnj.003905
Savvidou E, Efstratiadis A, Koussis AD, Koukouvinos A, Skarlatos D. 2018. The curve number concept as a driver for delineating hydrological response units. Water 10 (2):194. https://doi.org/10.3390/w10020194
Sloto R A and Crouse M Y. 1996. HYSEP: A computer program for streamflow hydrograph separation and analysis. U.S. Geological Survey, Water-Resources Investigations, Report 96-4040 Pennsylvania, 46 p.
Verma S,Verma RK, Mishra SK, Singh A, Jayaraj GK. 2017. A revisit of NRCS-CN inspired models coupled with rs and gis for run-off estimation. Hydrological Sciences Journal, 62:1891–1930. https://doi.org/10.1080/02626667.2017.1334166.
Wang Y, Shao J, Su C, Cui Y, Zhang Q. 2019. The application of improved swat model to hydrological cycle study in karst area of South China. Sustainability, 11:5024. doi:10.3390/su11185024.
Wang F, Chen H, Lian J, Fu Z, Nie Y.2020. Seasonal recharge of spring and stream waters in a karst catchment revealed by isotopic and hydrochemical analyses. Journal of Hydrology. doi:https://doi.org/10.1016/j.jhydrol.2020.125595.
Authors
WahyullahW., HendrayantoH. and SuharnotoY. (2023) “Simulation of the impact of land use change on surface run-off in Karst Leang Lonrong Sub-Watershed”, Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management). Bogor, ID, 13(2), pp. 313-326. doi: 10.29244/jpsl.13.2.313-326.
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