Rainfall Trend and Variability Over Opak River Basin, Yogyakarta, Indonesia
Wakhidatik Nurfaida(1*), Hendra Ramdhani(2), Takenori Shimozono(3), Indri Triawati(4), Muhammad Sulaiman(5)
(1) Universitas Gadjah Mada
(2) The University of Tokyo
(3) The University of Tokyo
(4) Universitas Gadjah Mada
(5) Universitas Gadjah Mada
(*) Corresponding Author
Abstract
Rainfall intensity seems to be increasing nowadays due to climate change as presented in many studies of both global and regional scale. Consequently, cities worldwide are now more vulnerable to flooding. In Indonesia, increasing frequency of floods was reported for the past decades by The National Agency for Disaster Countermeasure (BNPB). To understand the rainfall changes, long-term trend evaluation over a specific area is then crucial due to the large variability of spatial and temporal rainfall distribution. This study investigates the homogeneity and trend of rainfall data from 20 stations over the Opak River basin, Yogyakarta, Indonesia. A long-term ground observation rainfall data whose period varies from 1979 to 2019 were analyzed. Non-parametric Mann – Kendall test was applied to assess the trend, while the magnitude was calculated using the Sen’s slope estimator. An increasing annual maximum of daily rainfall intensity was observed at four stations on a 0.95 confidence level based on the Mann – Kendall test, while the Sen’s slope estimator shows a positive trend at almost all stations. The trend of heavy rainfall frequency was also found to be significantly increased, with only one station showed a decreasing trend. Furthermore, this paper also described the spatial rainfall variability. Positive trend was mostly found during the rainy season, while the negative trend occurred during the dry season. This could pose a challenge for water resource management engineering and design, such as water supply systems or reservoir management. Understanding this phenomenon will benefit hydrologists in preparing future water resource engineering and management.
Keywords
Full Text:
PDFReferences
Aldrian, E., 2007, ‘Decreasing trends in annual rainfalls over Indonesia: A threat for the national water resource?’, Badan Meteorology dan Geofisika, 7(2), 40–49.
As-syakur, Abd.R., Tanaka, T., Osawa, T. & Mahendra, M.S., 2013, ‘Indonesian rainfall variability observation using TRMM multi-satellite data’, International Journal of Remote Sensing, 34(21), 7723–7738.
Avia, L.Q., 2019, Change in rainfall per-decades over Java Island, Indonesia, IOP Conference Series: Earth and Environmental Science, vol. 374, 012037, IOP Publishing, Medan, Indonesia.
Bagtasa, G., 2017, ‘Contribution of tropical cyclones to rainfall in the Philippines’, Journal of Climate, 30(10), 3621–3633.
BNPB, 2020, Data Informasi Bencana Indonesia (DIBI).
Buishand, T.A., 1982, ‘Some methods for testing the homogeneity of rainfall records’, Journal of Hydrology, 58(1–2), 11–27.
Goswami, B.N., Venugopal, V., Sengupta, D., Madhusoodanan, M.S. & Xavier, P.K., 2006, ‘Increasing Trend of Extreme Rain Events Over India in a Warming Environment’, Science, 314(5804), 1442–1445.
Hassan, W.H., Nile, B.K. & Al-Masody, B.A., 2017, ‘Climate change effect on storm drainage networks by storm water management model’, Environmental Engineering Research, 22(4), 393–400.
Held, I.M. & Soden, B.J., 2006, ‘Robust Responses of the Hydrological Cycle to Global Warming’, Journal of Climate, 19(21), 5686–5699.
IPCC, 2014, Climate Change 2014: Synthesis report. Contribution of working groups I, II and III to the fifth assessment report of the intergovernmental panel on climate change [Core Writing Team, R.K. Pachauri and L.A. Meyer (eds.)]., Geneva, Switzerland.
Kang, S., Im, E.-S. & Eltahir, E.A.B., 2019, ‘Future climate change enhances rainfall seasonality in a regional model of western Maritime Continent’, Climate Dynamics, 52(1–2), 747–764.
Kendall, M.G., 1948, Rank correlation methods, Charles Griffin, London, UK.
Khouakhi, A., Villarini, G. & Vecchi, G.A., 2017, ‘Contribution of Tropical Cyclones to Rainfall at the Global Scale’, Journal of Climate, 30(1), 359–372.
Knight, D.B. & Davis, R.E., 2009, ‘Contribution of tropical cyclones to extreme rainfall events in the southeastern United States’, Journal of Geophysical Research, 114(D23), D23102.
Knutson, T.R., McBride, J.L., Chan, J., Emanuel, K., Holland, G., Landsea, C., Held, I., Kossin, J.P., Srivastava, A.K. & Sugi, M., 2010, ‘Tropical cyclones and climate change’, Nature Geoscience, 3(3), 157–163.
Lau, K.-M., Zhou, Y.P. & Wu, H.-T., 2008, ‘Have tropical cyclones been feeding more extreme rainfall?’, Journal of Geophysical Research, 113(D23), D23113.
Mann, H.B., 1945, ‘Nonparametric Tests Against Trend’, Econometrica, 13(3), 245.
Manton, M.J., Della-Marta, P.M., Haylock, M.R., Hennessy, K.J., Nicholls, N., Chambers, L.E., Collins, D.A., Daw, G., Finet, A., Gunawan, D., Inape, K., Isobe, H., Kestin, T.S., Lefale, P., Leyu, C.H., Lwin, T., Maitrepierre, L., Ouprasitwong, N., Page, C.M., Pahalad, J., Plummer, N., Salinger, M.J., Suppiah, R., Tran, V.L., Trewin, B., Tibig, I. & Yee, D., 2001, ‘Trends in extreme daily rainfall and temperature in Southeast Asia and the South Pacific: 1961-1998’, International Journal of Climatology, 21(3), 269–284.
Park, K., Oh, H. & Won, J., 2020, ‘Analysis of disaster resilience of urban planning facilities on urban flooding vulnerability’, Environmental Engineering Research, 26(1).
Patakamuri, S.K., Muthiah, K. & Sridhar, V., 2020, ‘Long-Term Homogeneity, Trend, and Change-Point Analysis of Rainfall in the Arid District of Ananthapuramu, Andhra Pradesh State, India’, Water, 12(1), 211.
Roderick, T.P., Wasko, C. & Sharma, A., 2019, ‘Atmospheric Moisture Measurements Explain Increases in Tropical Rainfall Extremes’, Geophysical Research Letters, 46(3), 1375–1382.
Samrin, F., Irwana, I., Trismidianto & Hasanah, N., 2019, Analysis of the Meteorological Condition of Tropical Cyclone Cempaka and Its Effect on Heavy Rainfall in Java Island, IOP Conference Series: Earth and Environmental Science, vol. 303, 012065, IOP Publishing, Bandung, Indonesia.
Sen, P.K., 1968, ‘Estimates of the Regression Coefficient Based on Kendall’s Tau’, Journal of the American Statistical Association, 63(324), 1379–1389.
Sok, R., 2019, ‘Typical Rainfall Distribution Pattern of Flood Event Caused by Tropical Cyclone at Bima City, West Nusa Tenggara, Indonesia’, Journal of the Civil Engineering Forum, 5(1), 1.
Westra, S., Alexander, L.V. & Zwiers, F.W., 2013, ‘Global Increasing Trends in Annual Maximum Daily Precipitation’, Journal of Climate, 26(11), 3904–3918.
Wijngaard, J.B., Klein Tank, A.M.G. & Können, G.P., 2003, ‘Homogeneity of 20th century European daily temperature and precipitation series: HOMOGENEITY OF EUROPEAN CLIMATE SERIES’, International Journal of Climatology, 23(6), 679–692.
Zhang, Y. & Fueglistaler, S., 2019, ‘Mechanism for Increasing Tropical Rainfall Unevenness With Global Warming’, Geophysical Research Letters, 46(24), 14836–14843.
DOI: https://doi.org/10.22146/jcef.60628
Article Metrics
Abstract views : 3086 | views : 3611Refbacks
- There are currently no refbacks.
Copyright (c) 2022 The Author(s)
The content of this website is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
ISSN 5249-5925 (online) | ISSN 2581-1037 (print)
Jl. Grafika No.2 Kampus UGM, Yogyakarta 55281
Email : jcef.ft@ugm.ac.id
JCEF Stats