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The impact of land use and climate change on surface runoff and groundwater in Cimanuk watershed, Indonesia

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  • Material transport and cycle in watersheds
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Abstract

The Cimanuk River with a total watershed area of 4010.8 km2 flowing from the Garut Regency to Indramayu Delta is the longest in West Java Province. However, the cumulative effects of climate change, increased population, and fish farming in the coastal area have continuously pressured the availability of water resources in its watershed. This study was, therefore, aimed to analyze the impact of land use and climate change on surface runoff and groundwater using a SWAT model. This is a physically based semi-distributed hydrological model with various applications, particularly to simulate water balance and watershed management. Daily discharge record for 2005–2008, land use data for 2002–2017, and the simulated climate (1979–2003) and projected climate data (2075–2099) retrieved from MRI-AGCM3.2 20-km by the Meteorological Research Institute of Japan Meteorological Agency were used in this research. The result showed that the calibration and validation of SWAT model have exhibited satisfactory criteria for hydrological simulations. The modeled period showed land use changes caused a general increase in runoff and decline in base flow contribution to annual streamflow. The changes between the current and projected climate exhibited increase in Qmax/Qmin ratio in certain years.

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References

  • Abbaspour KC (2013) SWAT-CUP 2012: SWAT calibration and uncertainty programs—a user manual, vol 103. Eawag, Dübendorf

    Google Scholar 

  • Abbaspour KC, Yang J, Maximov I, Siber R, Bogner K, Mieleitner J, Zobrist J, Srinivasan R (2007) Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J Hydrol 333(2–4):413–430

    Article  Google Scholar 

  • Aboelnour M, Gitau MW, Engel BA (2020) A comparison of streamflow and baseflow responses to land-use change and the variation in climate parameters using SWAT. Water 12(1):191. https://doi.org/10.3390/w12010191

    Article  Google Scholar 

  • Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment part I: model development 1. J Am Water Resour As 34(1):73–89

    Article  CAS  Google Scholar 

  • Arnold JG, Moriasi DN, Gassman PW, Abbaspour KC, White MJ, Srinivasan R, Santhi C, Harmel RD, Van Griensven A, Van Liew MW, Kannan N, Jha MK (2012) SWAT: Model use, calibration, and validation. Trans ASABE 55(4):1491–1508

    Article  Google Scholar 

  • Bajracharya AR, Bajracharya SR, Shrestha AB, Maharjan SB (2018) Climate change impact assessment on the hydrological regime of the Kaligandaki Basin, Nepal. Sci Total Environ 625:837–848

    Article  CAS  Google Scholar 

  • Branche E (2015) The multipurpose water uses of hydropower reservoir: the SHARE concept. C R Phys 18(7–8):469–478. https://doi.org/10.1016/j.crhy.2017.06.001

    Article  CAS  Google Scholar 

  • Climate Service Center (2018) Climate Fact Sheet—Indonesia, updated version 2018. https://www.climateservicecenter.de/products_and_publications/fact_sheets/climate_fact_sheets/index.php.en

  • Daruati D (2008) The use of Landsat 7 ETM + imagery for land use study in the Cimanuk Catchment (in Indonesian). Limnotek 9(12):40–50

    Google Scholar 

  • Dowlatabadi S, Zomorodian SA (2016) Conjunctive simulation of surface water and groundwater using SWAT and MODFLOW in Firoozabad watershed. KSCE J Civ Eng 20(1):485–496

    Article  Google Scholar 

  • Gassman PW, Arnold JJ, Srinivasan R and Reyes M (2010) The worldwide use of the SWAT Model: technological drivers, networking impacts, and simulation trends. In: 21st Century watershed technology: improving water quality and environment conference proceedings, 21–24 February 2010, Universidad EARTH, Costa Rica. 10.13031/2013.29418

  • Gibson CA, Meyer JL, Poff NL, Hay LE, Georgakakos A (2005) Flow regime alterations under changing climate in two river basins: implications for freshwater ecosystems. River Res Applic 21:849–864. https://doi.org/10.1002/rra.855

    Article  Google Scholar 

  • Guzha AC, Rufino MC, Okoth S, Jacobs S, Nóbrega RLB (2018) Impacts of land use and land cover change on surface runoff, discharge and low flows: evidence from East Africa. J Hydrol Reg Stud 15:49–67

    Article  Google Scholar 

  • Jin G, Shimizu Y, Onodera S, Saito M, Matsumori K (2015) Evaluation of drought impact on groundwater recharge rate using SWAT and Hydrus models on an agricultural island in western Japan. PIAHS 371:143–148

    CAS  Google Scholar 

  • Junaidi E, Indrajaya Y (2018) Hydrological responses of agroforestry system application which is not based on land suitability, a case study in Cimuntur watershed (in Indonesian). JPKW 7(1):69–81. https://doi.org/10.18330/jwallacea.2018.vol7iss1pp69-81

    Article  Google Scholar 

  • Kim NW, Chung IM, Won YS, Arnold JG (2008) Development and application of the integrated SWAT–MODFLOW model. J Hydrol 356(1–2):1–16

    Article  Google Scholar 

  • Kundu S, Khare D, Mondal A (2017) Individual and combined impacts of future climate and land use changes on the water balance. Ecol Eng 105:42–57

    Article  Google Scholar 

  • Kuntoro AA, Putro AW, Kusuma MSB, Natasaputra S (2017) The effect of land use to maximum and minimum discharge in Cikapundung river basin. AIP Conf Proc 1903:100011. https://doi.org/10.1063/1.5011621

    Article  Google Scholar 

  • Leta OT, El-Kadi AI, Dulai H, Ghazal KA (2016) Assessment of climate change impacts on water balance components of Heeia watershed in Hawaii. J Hydrol Reg Stud 8:182–197

    Article  Google Scholar 

  • Ligaray M, Kim M, Baek S, Ra JS, Chun JA, Park Y, Boithias L, Ribolzi O, Chon K, Cho KH (2017) Modeling the fate and transport of malathion in the Pagsanjan-lumban basin, Philippines. Water 9(7):451. https://doi.org/10.3390/w9070451

    Article  CAS  Google Scholar 

  • Meenu R, Rehana S, Mujumdar P (2013) Assessment of hydrologic impacts of climate change in Tunga-Bhadra river basin, India with HEC-HMS and SDSM. Hydrol Process 27(11):1572–1589

    Article  Google Scholar 

  • Ministry of Public Works and Housing (2010) Regulation No 267/KPTS/M/2010 Pattern for management of water resources in Cimanuk Cisanggarung River Basin (in Indonesian)

  • Mizuta R, Oouchi K, Yoshimura H, Noda A, Katayama K, Yukimoto S, Hosaka M, Kusunoki S, Kawai H, Nakagawa M (2006) 20-km-mesh global climate simulations using JMA-GSM model—mean climate states. J Meteorol Soc Jpn Ser II 84(1):165–185. https://doi.org/10.2151/jmsj.84.165

    Article  Google Scholar 

  • Mizuta R (2008) Estimation of the future distribution of sea surface temperature and sea ice using the CMIP3 multi-model ensemble mean. MRI, Japan. https://doi.org/10.11483/mritechrepo.56

    Book  Google Scholar 

  • Mizuta R, Yoshimura H, Murakami H, Matsueda M, Endo H, Ose T, Kamiguchi K, Hosaka M, Sugi M, Yukimoto S (2012) Climate simulations using MRI-AGCM3. 2 with 20-km grid. J Meteorol Soc Jpn Ser II 90:233–258. https://doi.org/10.2151/jmsj.2012-A12

    Article  Google Scholar 

  • Moriasi DN, Arnold JG, Van Liew MW, Bingner RL, Harmel RD, Veith TL (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans ASABE 50(3):885–900

    Article  Google Scholar 

  • Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I—a discussion of principles. J Hydrol 10(3):282–290

    Article  Google Scholar 

  • Neitsch SL, Arnold JG, Kiniry JR, Williams JR (2011) Soil and Water Assessment Tool Theoretical Documentation Version 2009. Texas Water Resources Institute. https://hdl.handle.net/1969.1/128050

  • Nejadhashemi AP, Wardynski BJ, Munoz JD (2011) Evaluating the impacts of land use changes on hydrologic responses in the agricultural regions of Michigan and Wisconsin. Hydrol Earth Syst Sci Discuss 8:3421–3468. https://doi.org/10.5194/hessd-8-3421-2011

    Article  Google Scholar 

  • Nugroho P, Marsono D, Sudira P, Suryatmojo H (2013) Impact of land-use changes on water balance. Procedia Environ Sci 17:256–262

    Article  Google Scholar 

  • Oeurng C, Sauvage S, Sánchez-Pérez J-M (2011) Assessment of hydrology, sediment and particulate organic carbon yield in a large agricultural catchment using the SWAT model. J Hydrol 401(3–4):145–153

    Article  CAS  Google Scholar 

  • Ou X, Gharabaghi B, McBean E, Doherty C (2017) Investigation of the tank model for urban storm water management. J Water Manag Model. https://doi.org/10.14796/JWMM.C421

    Article  Google Scholar 

  • PEACE (2007) Indonesia and climate change: current status and policies, pp 1–2

  • Raje D, Mujumdar P (2010) Reservoir performance under uncertainty in hydrologic impacts of climate change. Adv Water Resour 33(3):312–326

    Article  Google Scholar 

  • Ridwansyah I, Sapei A, Raimadona M (2012) Applying SWAT to predict impact of landuse change on hydrological response in upper Cimanuk catchment area. In: The 5th international remote sensing and GIS workshop series on demography, land use-land cover and disaster

  • Ridwansyah I, Pawitan H, Sinukaban N, Hidayat Y (2014) Watershed modeling with ArcSWAT and SUFI2 in Cisadane catchment area: calibration and validation to prediction of river flow. Int J Sci Eng 6(2):12–21. https://doi.org/10.12777/ijse.6.2.12-21

    Article  Google Scholar 

  • Ridwansyah I, Yulianti M, Wibowo H (2019) Soil Water Analysis Tools (SWAT) hydrology modelling as a basis for spatial planning: a case study in Cimandiri Watershed, West Java Province. IOP Conf Ser Earth Environ Sci 380:012017

    Article  Google Scholar 

  • Saefulloh DF, Hadihardaja IK, Harlan D (2018) Modeling of triangular unit hydrographs using an artificial neural network in a tropical river basin. Int J Geo 15(51):69–76

    Google Scholar 

  • Salim AG, Dharmawan IWS, Narendra BH (2019) Effect of forest area on the hydrological characteristics of the upper Citarum watershed (in Indonesian). J Environ Sci 17(2):333–340. https://doi.org/10.14710/jil.17.2.333-340

    Article  Google Scholar 

  • Schilling KE, Jha MK, Zhang YK, Gassman PW, Wolter CF (2008) Impact of land use and land cover change on the water balance of a large agricultural watershed: historical effects and future directions. Water Resour Res. https://doi.org/10.1029/2007WR006644

    Article  Google Scholar 

  • Smarzyńska K, Miatkowski Z (2016) Calibration and validation of SWAT model for estimating water balance and nitrogen losses in a small agricultural watershed in central Poland. J Water Land Dev 29(1):31–47

    Article  Google Scholar 

  • Suharto B, Susanawati LD, Zakinah Y (2017) Determination of watershed performance in the sub-watershed of Keyang, Ponorogo regency based on forestry minister decree no. 52/2001. Int J Appl Agric Sci 12(3):357–370

    Google Scholar 

  • Thakur B, Parajuli R, Kalra A, Ahmad S, Gupta R (2017) Coupling HEC-RAS and HEC-HMS in precipitation runoff modelling and evaluating flood plain inundation map. World Environ Water Resour Congress 2017:240–251. https://doi.org/10.1061/9780784480625.022

    Article  Google Scholar 

  • van Bemmelen RW (1949) General Geology of Indonesia and adjacent archipelagoes. The geology of Indonesia, U.S. Government Printing Office, USA

    Google Scholar 

  • Vazquez-Amábile GG, Engel BA (2005) Use of SWAT to compute groundwater table depth and streamflow in the Muscatatuck River watershed. Trans ASAE 48(3):991–1003

    Article  Google Scholar 

  • Vilaysane B, Takara K, Luo P, Akkharath I, Duan W (2015) Hydrological stream flow modelling for calibration and uncertainty analysis using SWAT Model in the Xedone River Basin, Lao PDR. Procedia Environ Sci 28:380–390. https://doi.org/10.1016/j.proenv.2015.07.047

    Article  Google Scholar 

  • Wang J, Gao Y, Wang S (2018) Assessing the response of runoff to climate change and human activities for a typical basin in the Northern Taihang Mountain, China. J Earth Syst Sci 127(3):37. https://doi.org/10.1007/s12040-018-0932-5

    Article  Google Scholar 

  • White J, Stengel V, Rendon S, Banta J (2017) The importance of parameterization when simulating the hydrologic response of vegetative land-cover change. Hydrol Earth Syst Sci 21(8):3975–3989

    Article  Google Scholar 

  • Woldemichael AT, Hossain F, Pielke R Sr, Beltrán-Przekurat A (2012) Understanding the impact of dam-triggered land use/land cover change on the modification of extreme precipitation. Water Resour Res. https://doi.org/10.1029/2011WR011684

    Article  Google Scholar 

  • Yigzaw W, Hossain F (2016) Land use and land cover impact on probable maximum flood and sedimentation for artificial reservoirs: case study in the Western United States. J Hydrol Eng 21(2):05015022. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001287

    Article  Google Scholar 

  • Yustika R, Tarigan S, Hidayat Y, Sudadi U (2012) Simulation of land management in Hulu Ciliwung use SWAT Model (in Indonesian). IP 21(2):71–79

    Google Scholar 

  • Zareian MJ, Eslamian SS, Safavi HR (2016) Investigating the effects of sustainability of climate change on the agriculture water consumption in the Zayandeh-Rud river basin. JWSS-Isfahan Univ Technol 20(75):113–128. https://doi.org/10.18869/acadpub.jstnar.20.75.113

    Article  Google Scholar 

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Acknowledgements

This study was supported by the Priority Research Program of Deputy of Earth Science, the Indonesian Institute of Sciences (LIPI), entitled "Response of water ecosystem to climate change and anthropogenic as the basis for the development of coastal region development strategies", which was funded by LIPI in 2015–2017 fiscal year. The authors appreciate the Disaster Prevention Research Institute (DPRI) of Kyoto University Japan for providing the climate change data using MRI-AGCM3.2 20-km.

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Correspondence to Iwan Ridwansyah.

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Ridwansyah, I., Yulianti, M., Apip et al. The impact of land use and climate change on surface runoff and groundwater in Cimanuk watershed, Indonesia. Limnology 21, 487–498 (2020). https://doi.org/10.1007/s10201-020-00629-9

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