Computation of surface water availability in Indonesia based on satellite data
DOI:
https://doi.org/10.32679/jsda.v13i2.206Keywords:
Water availability, hydrology, river basin area, water district, TRMMAbstract
Information on water availability is vital in water resources management. Unfortunately, information on the condition of hydrological data, either river flow data, or rainfall data is very limited temporally and spatially. With the availability of satellite technology, rainfall in the tropics can be monitored and recorded for further analysis. This paper discusses the calculation of surface water availability based on rainfall data from TRMM satellite, and then Wflow, a distributed rainfall-runoff model generates monthly time runoff data from 2003 to 2015 for all river basin areas in Indonesia. It is concluded that the average surface water availability in Indonesia is 88.3 thousand m3/s or equivalent to 2.78 trillion m3/ year. This figure is lower than the study of Water Resources Research Center 2010 based on discharge at the post estimated water that produces 3.9 trillion m3/year, but very close to the study of Aquastat FAO of 2.79 trillion m3 / year. The main benefit of this satellite-based calculation is that at any location in Indonesia, potential surface water can be obtained by multiplying the area of the catchment and the runoff height.
References
Arnal, L. (2014). An intercomparison of flood forecasting models for the Meuse River basin. Vrije Universiteit Amsterdam.
Dahmen, E. R., & Hall, M. J. (1990). Screening of Hydrological Data: Test for Stationarity and Relative Consistency. Wageningen: ILRI.
Fulazzaky, M. (2014). Challenges of Integrated Water Resources Management in Indonesia. Water, 6(7), 2000–2020. https://doi.org/10.3390/w6072000
Hassaballah, K., Mohamed, Y., Uhlenbrook, S., & Biro, K. (2017). Analysis of streamflow response to land use land cover changes using satellite data and hydrological modelling: case study of Dinder and Rahad tributaries of the Blue Nile (Ethiopia/Sudan). Hydrology and Earth System Sciences Discussions, (March), 1–22.
https://doi.org/10.5194/hess-2017-128
Hatmoko, W., Radhika, Amirwandi, S., Fauzi, M., Firmansyah, R., Solihah, R., & Fathoni, A. (2012). Neraca Ketersediaan dan Kebutuhan Air pada Wilayah Sungai di Indonesia. Bandung: Badan Litbang Pekerjaan Umum.
Hatmoko, W., Radhika, Raharja, B., Tollenaar, D., & Vernimmen, R. (2015). Monitoring and Prediction of Hydrological Drought Using a Drought Early Warning System in Pemali-Comal River Basin, Indonesia. Procedia Environmental Sciences, 24, 56–64. https://doi.org/10.1016/j.proenv.2015.03.009
Levina, Hatmoko, W., Seizarwati, W., & Vernimmen, R. (2016). Comparison of TRMM Satellite Rainfall and APHRODITE for Drought Analysis in the Pemali-comal River Basin. Procedia Environmental Sciences, 33, 187–195. https://doi.org/10.1016/j.proenv.2016.03.069
Liu, Z., Ostrenga, D., Teng, W., & Kempler, S. (2012). Tropical rainfall measuring mission (TRMM) precipitation data and services for research and applications. Bulletin of the American Meteorological Society, 93(9), 1317–1325. https://doi.org/10.1175/BAMS-D-11-00152.1
Mahlida, I. F. (2013). Pemanfaatan Data Curah Hujan Trmm Untuk Estimasi Debit Di Ciliwung (Katulampa Dan Depok). Institut Pertanian Bogor.
Schellekens, J. (2012). wflow Documentation. OpenStreams. Retrieved from https://publicwiki.deltares.nl/download/attachments/76613454/wflow.pdf
Syaifullah, D. (2014). Validasi Data TRMM Terhadap Data Curah Hujan Aktual di Tiga DAS di Indonesia. JURNAL METEOROLOGI DAN GEOFISIKA, VOL. 15 NO, 109–118.
Tamrakar, B., & Alfredsen, K. (2012). Applicability of TRMM satellite data in hydropower planning . Rentech Symposium Compendium, 2, 60–62.
Vernimmen, R. R. E., Hooijer, A., Mamenun, Aldrian, E., & Van Dijk, a. I. J. M. (2012). Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia. Hydrology and Earth System Sciences, 16, 133–146. https://doi.org/10.5194/hess-16-133-2012
Weert, R. Van Der. (1994). Hydrological Conditions in Indonesia. Jakarta: Delft Hydraulics.
Werner, M., Schellekens, J., Gijsbers, P., van Dijk, M., van den Akker, O., & Heynert, K. (2013). The Delft-FEWS flow forecasting system. Environmental Modelling and Software, 40, 65–77. https://doi.org/10.1016/j.envsoft.2012.07.010
Zhao, Y., Xie, Q., Lu, Y., & Hu, B. (2017). Hydrologic Evaluation of TRMM Multisatellite Precipitation Analysis for Nanliu River Basin in Humid Southwestern China. Scientific Reports, 7(1), 2470. https://doi.org/10.1038/s41598-017-02704-1
Downloads
Published
How to Cite
Issue
Section
Citation Check
License
Authors who publish in Jurnal Sumber Daya Air agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
