PEMETAAN POTENSI BAHAYA BANJIR DI KABUPATEN MANOKWARI MELALUI PEMANFAATAN DATA GLOBAL PRECIPITATION MEASUREMENT (GPM) DAN ANALISIS BENTANG LAHAN

Authors

  • Arif Faisol Universitas Papua
  • Indarto Indarto Universitas Jember
  • Elida Novita Universitas Jember
  • Budiyono Budiyono Universitas Papua

DOI:

https://doi.org/10.23960/jtep-l.v9i2.96-103

Abstract

Rainfall data is the main parameter in flood analysis. The limited number of climate stations and rain stations in Manokwari due to low spatial representativeness of rainfall. This study aims to utilize Global Precipitation Measurement (GPM) as a satellite-based rainfall observer to analyze and floods hazard mapping in Manokwari. The method used in this research is landscape analysis. Research showed that almost all areas in Manokwari had high levels of flood hazard at any period except Tanah Rubuh district.

References

Anwari and Makruf, M. (2019) ‘Pemetaan Wilayah Rawan Bahaya Banjir di Kabupaten Pamekasan Berbasis Sistem Informasi Geografis (SIG)’, Jurnal Ilmiah NERO, 4(2), pp. 117–123.

Asong, Z. E. et al. (2017) ‘Evaluation of Integrated Multisatellite Retrievals for GPM ( IMERG ) over Southern Canada against Ground Precipitation Observations : A Preliminary Assessment’, Journal of Hydrometeorology, 18, pp. 1033–1050. doi: 10.1175/JHM-D-16-0187.1.

Azka, M. A. et al. (2018) ‘Uji Akurasi Produk Estimasi Curah Hujan Satelit GPM IMERG di Surabaya, Indonesia’, Jurnal Sains & Teknologi Modifikasi Cuaca, 19(2), pp. 83–88.

Badan Nasional Penanggulangan Bencana (2020) Bencana Menurut Wilayah Kabupaten/ Kota. Available at: http://bnpb.cloud/dibi/tabel2a (Accessed: 6 February 2020).

Badan Standardisasi Nasional (2015) Metode Pemetaan Rawan Banjir Skala 1:50.000 dan 1:25.000. 1st edn. Jakarta: Badan Standardisasi Nasional.

BMKG (2018) Metadata Stasiun. Available at: https://dataonline.bmkg.go.id/home (Accessed: 28 February 2018).

Chen, Z. et al. (2016) ‘Evaluation of Global Satellite Mapping of Precipitation Project Daily Precipitation Estimates over the Chinese Mainland’, Advances in Meteorology, 2016, p. 15. doi: http://dx.doi.org/10.1155/2016/9365294.

Faisol, A. et al. (2019) ‘Evaluasi Data Hujan Harian Global Precipitation Measurement (GPM) versi ke-6 di Provinsi Papua Barat’, in Seminar Nasional MIPA UNIPA IV Tahun 2019, pp. 147–154. Available at: https://prosiding.fmipa.unipa.ac.id/index.php/SNMIPAUNIPA/article/download/40/31.

Gaona, M. F. R. et al. (2016) ‘First-Year Evaluation of GPM Rainfall over the Netherlands : IMERG Day 1 Final Run ( V03D )’, American Meteorological Society, 2016, pp. 2799–2814. doi: 10.1175/JHM-D-16-0087.1.

Goddard Space Flight Center (2013) Global Precipitation Measurement (GPM) Science Implementation Plan. Greenbelt: NASA.

Haryani, N. S. (2017) ‘Analisis Zona Potensi Rawan Banjir Menggunakan Data Penginderaan Jauh dan SIG di Kalimantan Timur’, in Seminar Nasional Penginderaan Jauh ke-4, pp. 517–524.

Kuswadi, D., Zulkarnain, I. and Suprapto (2014) ‘Identifikasi Wilayah Rawan Banjir Kota Bandar Lampung Dengan Aplikasi Sistem Informasi Geografis ( SIG )’, Jurnal Ilmiah Teknik Pertanian, 6(1), pp. 22–33.

Ma, Y. et al. (2016) ‘Similarity and Error Intercomparison of the GPM and Its Predecessor-TRMM Multisatellite Precipitation Analysis Using the Best Available Hourly Gauge Network over the Tibetan Plateau’, Remote Sensing, 8(569), pp. 1–17. doi: 10.3390/rs8070569.

Nisarto, F. (2016) Pemetaan Kerawanan Banjir Daerah Aliran Sungai Tangka. Universitas Hasanuddin.

Nurdin and Fakhri (2017) ‘Analisa Kawasan Rawan Banjir di Kabupaten Kampar Menggunakan Aplikasi Sistem Informasi Geografis’, in Seminar Nasional Pelestarian Lingkungan (SENPLING), pp. 431–438.

Omranian, E., Sharif, H. O. and Tvakoly, A. A. (2018) ‘How Well Can Global Precipitation Measurement ( GPM ) Capture Hurricanes ? Case Study : Hurricane Harvey’, Remote Sensing, p. 14. doi: 10.3390/rs10071150.

Sharifi, E., Steinacker, R. and Saghafian, B. (2016) ‘Assessment of GPM-IMERG and Other Precipitation Products against Gauge Data under Different Topographic and Climatic Conditions in Iran : Preliminary Results’, Remote Sensing, 8(135), p. 24. doi: 10.3390/rs8020135.

Sun, W. et al. (2018) ‘Evaluation and Correction of GPM IMERG Precipitation Products over the Capital Circle in Northeast China at Multiple Spatiotemporal Scales’, Advances in Meteorology, 2018, p. 14 pages.

Sungmin, O. et al. (2017) ‘Evaluation of GPM IMERG Early , Late , and Final rainfall estimates using WegenerNet gauge data in southeastern Austria’, Hydrology and Earth System Science, 21, pp. 6559–6572.

Verma, P. and Ghosh, S. K. (2018) ‘Study of GPM-IMERG Rainfall Data Product for Gangotri Glacier’, in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Dehradun, pp. 20–23.

Xu, R. et al. (2017) ‘Ground validation of GPM IMERG and TRMM 3B42V7 rainfall products over southern Tibetan Plateau based on a high-density rain gauge network’, Journal of Geophysical Research, pp. 910–924. doi: 10.1002/2016JD025418.

Yanti, N., Tanesib, J. L. and Warsito, A. (2018) ‘Pemetaan Daerah Rawan Banjir dengan Penginderaan Jauh dan Sistem Informasi Geografis di Kecamatan Kupang Timur Kabupaten Kupang Provinsi Nusa Tenggara Timur’, Jurnal Fisika Sains dan Aplikasinya, 3(August), pp. 73–79. doi: 10.35508/fisa.v3i1.604.

Yetty, S., Edial, H. and Triyatno (2018) ‘Pemetaan Wilayah Bahaya Banjir di Kota Sungai Penuh’, Jurnal Buana, 2(5), pp. 383–391.

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Published

2020-06-28

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