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Assessment of annual high-discharge patterns in Kapuas River using information and complexity measures

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A recent study revealed that the amount of rainfall on the Kapuas River has increased over the last 30 years. The increase in rainfall increases the possibility of high discharge events, which might lead to destructive flooding of the Kapuas River and its tributaries. Hence, the ability to characterise the pattern of high discharge events is compulsory for the development and management of the Kapuas River watershed. The main objective of this study was to assess and characterise flood patterns in the Kapuas River watershed. To achieve this objective, we utilised information and complexity measures that consisted of mean information gain (MIG), effective measure complexity (EMC) and fluctuation complexity (FC) in daily water level records from 2002 to 2011 from a gauging station in Sanggau, West Kalimantan Province. The results revealed that flood events in the Kapuas River were mainly generated by the Indo-Australian monsoon, which occurred from December to March. The anomaly in 2010, when intense flood events were observed during the dry season, can be identified as the effect of a strong negative El Niño-Southern Oscillation (ENSO). Additionally, the analysis of the information and complexity measures indicates that: (i) EMC, which reflects the length of flood events, tends to increase along with greater discharge, and (ii) MIG and FC, which denote the degree of randomness and fluctuation of flood events, respectively, tended to have higher values when the number of months without high discharge was less.
Wydawca
Rocznik
Tom
Strony
62--68
Opis fizyczny
Bibliogr. 23 poz., fot., mapa, tab., wykr.
Twórcy
  • Hiroshima University, Department of Civil and Environmental Engineering, 1-4-1 Kagamiyama, Higashi-Hiroshima City, 739-8527, Hiroshima, Japan
  • Tanjungpura University, Department of Civil Engineering, Kalimantan Barat, Indonesia
  • Hiroshima University, Department of Civil and Environmental Engineering, 1-4-1 Kagamiyama, Higashi-Hiroshima City, 739-8527, Hiroshima, Japan
  • Kitami Institute of Technology, Department of Engineering, Kitami, Hokkaido, Japan
  • Tanjungpura University, Department of Ocean Engineering, Kalimantan Barat, Indonesia
Bibliografia
  • Aldrian, E. and Susanto, R.D. (2003) “Identification of three dominant rainfall regions within Indonesia and their relationship to sea surface temperature,” International Journal of Climatology, 23(12), pp. 1435–1452. Available at: https://doi.org/10.1002/joc.950.
  • Al Sawaf, M.B. and Kawanisi, K. (2020) “Assessment of mountain river streamflow patterns and flood events using information and complexity measures,” Journal of Hydrology, 590, 125508. Available at: https://doi.org/10.1016/j.jhydrol.2020.125508.
  • Al Sawaf, M.B., Kawanisi, K. and Xiao, C. (2022) “Characterizing annual flood patterns variation using information and complexity indices,” Science of the Total Environment, 806, 151382. Available at: https://doi.org/10.1016/j.scitotenv.2021.151382.
  • Anctil, F. and Coulibaly, P. (2004) “Wavelet analysis of the interannual variability in southern Québec streamflow,” Journal of Climate, 17(1), pp. 163–173. Available at: https://doi.org/10.1175/1520-0442(2004)017<0163:WAOTIV>2.0.CO;2.
  • Bates, J.E. and Shepard, H.K. (1993) “Measuring complexity using information fluctuation,” Physics Letters, 172(6), pp. 416–425. Available at: https://doi.org/10.1016/0375-9601(93)90232-O.
  • Cipta, H. (2021) “Banjir di Sintang Kalbar Jadi yang Terbesar Dan Terlama sejak 1963 [Flooding in Sintang, West Kalimantan Provice, is the biggest and longest flooding since 1963],” KOMPAS.com, 24 November. Available at: https://regional.kompas.com/read/2021/11/24/113424378/banjir-di-sintang-kal-bar-jadi-yang-terbesar-dan-terlama-sejak-1963 (Accessed: January 20, 2022).
  • Detenbeck, N.E. et al. (2005) “Relationship of stream flow regime in the western Lake Superior basin to watershed type characteristics,” Journal of Hydrology, 309(1–4), pp. 258–276. Available at: https://doi.org/10.1016/j.jhydrol.2004.11.024.
  • DetikNews (2021) Banjir Sintang Kalbar sudah 4 pekan, ini penyebab dan kondisi terbarunya [Flooding in Sintang, West Kalimantan Province, has been occurring for 4 weeks, here are the causes and its latest situation], 16 November. Available at: https://news.detik.com/berita/d-5813807/banjir-sintang-kalbar-sudah-4-pekan-ini-penyebab-dan-kondisi-terbarunya (Accessed: January 20, 2022).
  • Engelhardt, S., Matyssek, R. and Huwe, B. (2009) “Complexity and information propagation in hydrological time series of mountain forest catchments,” European Journal of Forest Research, 128(6), pp. 621–631. Available at: https://doi.org/10.1007/s10342-009-0306-2.
  • Grassberger, P. (1986) “Toward a quantitative theory of self-generated complexity,” International Journal of Theoretical Physics, 25(9), pp. 907–938. Available at: https://doi.org/10.1007/BF00668821.
  • Hendon, H.H. (2003) “Indonesian rainfall variability: Impacts of ENSO and local air–sea interaction,” Journal of Climate, 16(11), pp. 1775–1790. Available at: https://doi.org/10.1175/1520-0442(2003)016<1775:IRVIOE>2.0.CO;2.
  • Herawati, H. et al. (2018) “Analysis of river flow regime changes related to water availability on the Kapuas River, Indonesia,” Irrigation and Drainage, 67, pp. 66–71. Available at: https://doi.org/10.1002/ird.2103.
  • Herawati, H., Suripin and Suharyanto (2015) “Impact of climate change on streamflow in the tropical lowland of Kapuas River, West Borneo, Indonesia,” Procedia Engineering, 125, pp. 185–192. Available at: https://doi.org/10.1016/j.proeng.2015.11.027.
  • Herawati, H., Suripin and Suharyanto (2017) “River flow modeling using artificial neural networks in Kapuas river, West Kalimantan, Indonesia,” AIP Conference Proceedings, 1903(1). Available at: https://doi.org/10.1063/1.5011620.
  • Hidayat, H. et al. (2017) “Hydrology of inland tropical lowlands: The Kapuas and Mahakam wetlands,” Hydrology and Earth System Sciences, 21(5), pp. 2579–2594. Available at: https://doi.org/10.5194/hess-21-2579-2017.
  • Jourdain, N.C. et al. (2013) “The Indo-Australian monsoon and its relationship to ENSO and IOD in reanalysis data and the CMIP3/CMIP5 simulations,” Climate Dynamics, 41(11–12), pp. 3073–3102. Available at: https://doi.org/10.1007/s00382-013-1676-1.
  • Kahya, E. and Dracup, J.A. (1993) “U.S. streamflow patterns in relation to the El Niño/Southern Oscillation,” Water Resources Research, 29(8), pp. 2491–2503. Available at: https://doi.org/10.1029/93WR00744.
  • Kästner, K. and Hoitink, A.J.F. (2019) “Flow and suspended sediment division at two highly asymmetric bifurcations in a river delta: Implications for channel stability,” Journal of Geophysical Research: Earth Surface, 124(10), pp. 2358–2380. Available at: https://doi.org/10.1029/2018JF004994.
  • Lange, H. (1999) “Time series analysis of ecosystem variables with complexity measures,” InterJournal, 250, pp. 1–9.
  • Matteau, M., Assani, A.A. and Mesfioui, M. (2009) “Application of multivariate statistical analysis methods to the dam hydrologic impact studies,” Journal of Hydrology, 371(1–4), pp. 120–128. Available at: https://doi.org/10.1016/j.jhydrol.2009.03.022.
  • National Weather Service, Climate Prediction Center (no date) Cold &warm episodes by season. Available at: https://origin.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ONI_v5.php (Accessed: January 18, 2022).
  • Pan, F. et al. (2012) “Scale effects on information theory-based measures applied to streamflow patterns in two rural watersheds,” Journal of Hydrology, 414–415, pp. 99–107. Available at: https://doi.org/10.1016/j.jhydrol.2011.10.018.
  • Sanborn, S.C. and Bledsoe, B.P. (2006) “Predicting streamflow regime metrics for ungauged streamsin Colorado, Washington, and Oregon,” Journal of Hydrology, 325(1–4), pp. 241–261. Available at: https://doi.org/10.1016/j.jhydrol.2005.10.018.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1913515c-a3b1-47df-a849-066d2aaa5ea4
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