MODEL PEMETAAN RISIKO KEKERINGAN DI KABUPATEN BIMA, NUSA TENGGARA BARAT

*Nuraimmatul Faizah -  Universitas Diponegoro, Indonesia
Imam Buchori -  Universitas Diponegoro, Indonesia
Received: 25 Jul 2018; Published: 31 May 2019.
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Abstract

Drought in Bima regency is an annual phenomenon that always happens every year and its handling is still short-term. Therefore, there needs to be a monitoring and analysis of the drought risk factors so the drought risk mapping can be conducted to plan the drought mitigation. This research aims to develop the drought risk mapping model with Geographic Information System to find out the drought risk level in Bima regency based on the relevant variables. The drought risk model used as the basic of the research is the intersection between hazard and vulnerability, which are the basic models in disaster risk study. This research uses spatial approach with quantitative method which uses statistic indicator to measure and compare several variables. The data was collected by using institutional and literature survey. The data used was secondary data. The data analysis technique used was scoring analysis, weighting, and map overlay. The result of drought risk mapping model in Bima regency was classified into 5 classes, dominated by the Middle Class. The width of the classes consequently from the highest to the lowest are: Middle ±223.232,40 ha, Middle Lower ±136.414,29 ha, Middle High ±47.971,49 ha, Low ±10.962,28 ha dan High ± 1.776,53 ha. Then the model validation was conducted through field survey, with the validity result at 83,61%. The result shows that the modeling was good enough in analyzing the drought risk spatially. For further development, it is recommended to notice the used risk model, data using, analysis unit for each parameter, and the validation that will be used.

Keywords
drought risk, GIS, mapping, Bima Regency

Article Metrics:

  1. Badan Nasional Penanggulangan Bencana. (2010). Peta Indeks Risiko Bencana Kekeringan/Drought Disaster Risk Index Map.
  2. Bakornas PB. (2007). Pengenalan Karakteristik Bencana dan Upaya Mitigasinya di Indonesia Cetakan Edisi II.
  3. Banda, M. (2002). Pembobotan Parameter dan Penentuan Keputusan. Modul Praktikum Sistem Informasi Geografis, 38–49.
  4. Diaz, V., Corzo, G., Solomatine, D., & Van, H. A. J. (2016). Spatio-temporal analysis of hydrological drought at catchment scale using a spatially-distributed hydrological model. Procedia Engineering, 154, 738–744. http://doi.org/10.1016/j.proeng.2016.07.577
  5. Djaali & Pudji Muljono. (2007). Pengukuran Dalam Bidang Pendidikan. Jakarta: Grasindo.
  6. Fontaine, M. M., Steinemann, A. C., & Asce, M. (2009). Assessing Vulnerability to Natural Hazards : Impact-Based Method and Application to Drought in Washington State, 10(1), 11–18. http://doi.org/10.1061/(ASCE)1527-6988(2009)10:1(11)
  7. Hayes, M., Svoboda, M., Wall, N., & Widhalm, M. (2011). The Lincoln Declaration on Drought Indices: Universal Meteorological Drought Index Recommended. Bulletin of the American Meteorological Society, 4(92), 485–488. http://doi.org/10.1175/2010BAMS3103.1
  8. Jia, J., Han, L., Liu, Y., He, N., Zhang, Q., & Wan, X. (2016). Acta Ecologica Sinica Drought risk analysis of maize under climate change based on natural disaster system theory in Southwest China. CHNAES, 36(5), 340–349. http://doi.org/10.1016/j.chnaes.2016.06.001
  9. Kim, H., Park, J., Yoo, J., & Kim, T. (2015). ScienceDirect Assessment of drought hazard , vulnerability , and risk : A case study for administrative districts in South Korea. Journal of Hydro-Environment Research, 9(1), 28–35. http://doi.org/10.1016/j.jher.2013.07.003
  10. Knutson, C., Hayes, M., & Phillips, T. (1998). How to Reduce Drought Risk: A Guide Prepared by The Preparedness and Mitigation Working Group of the Western Drought Coordination Council. National Drought Mitigation Center, Lincoln, Nebraska.
  11. Lin, M. L., Chu, C. M., & Tsai, B. W. (2011). Drought Risk Assessment in Western Inner-Mongolia, 5(1), 139–148.
  12. Loon, A. F. Van. (2015). Hydrological drought explained, 2(August), 359–392. http://doi.org/10.1002/wat2.1085
  13. Maskrey, A. (1989). Disaster Mitigation: A Community Based Approach. Oxford: Oxfam.
  14. Mathbout, S., Lopez-bustins, J. A., Martin-vide, J., Bech, J., & Rodrigo, F. S. (2018). Spatial and temporal analysis of drought variability at several time scales in Syria during 1961 – 2012. Atmospheric Research, 200(May 2017), 153–168. http://doi.org/10.1016/j.atmosres.2017.09.016
  15. Mohammed, R., & Scholz, M. (2017). Impact of Evapotranspiration Formulations at Various Elevations on the Reconnaissance Drought Index. Water Resources Management, 531–548. http://doi.org/10.1007/s11269-016-1546-9
  16. Naumann, G., Barbosa, P., & Carra, H. (2016). Mapping global patterns of drought risk : An empirical framework based on sub-national estimates of hazard, exposure and, 39, 108–124. http://doi.org/10.1016/j.gloenvcha.2016.04.012
  17. Okada, N., Tatano, H., Hagihara, Y., Suzuki, Y., Nagae, T., Shimizu, H., & Researcher, C. O. E. (2004). Integrated Research on Methodological Development of Urban Diagnosis for Disaster Risk and its Applications Vulnerability Exposure Hazard, (47).
  18. Peraturan Kepala Badan Nasional Penanggulangan Bencana Nomor 4. (2008). Pedoman Penyusunan Rencana Penanggulangan Bencana.
  19. Prabowo, K. (2016). Analisis Risiko Bencana Kekeringan di Kabupaten Klaten. Universitas Muhammadiyah Surakarta.
  20. Reed, S. B. (1995). Pengantar Tentang Bahaya (Program Pelatihan Manajemen Bencana UNDP). New York: United Nations Development Programme.
  21. Shahid, S., & Behrawan, Æ. H. (2008). Drought risk assessment in the western part of Bangladesh, 391–413. http://doi.org/10.1007/s11069-007-9191-5
  22. Valverde-arias, O., Garrido, A., Valencia, L., & Marı, A. (2018). Using geographical information system to generate a drought risk map for rice cultivation: Case study in Babahoyo canton (Ecuador). Biosystems Engineering, 168, 26–41. http://doi.org/10.1016/j.biosystemseng.2017.08.007
  23. Verdon-Kidd, D. C., & Kiem, A. S. (2010). Quantifying Drought Risk in a Nonstationary Climate. Journal of Hydrometeorology, 11(2000), 1019–1031. http://doi.org/10.1175/2010JHM1215.1
  24. Wilhite, D. A., & Glantz, M. H. (1985). Understanding the Drought Phenomenon: The Role of Definitions. Water International 10, 3(1985), 111–120.
  25. Wisner, B., Blaikie, P., Cannon, T., & Davis, I. (2003). At Risk: Natural Hazards, People’s Vulnerability and Disasters (Second). Routledge, London.
  26. Wu, H., & Wilhite, D. A. (2004). An Operational Agricultural Drought Risk Assessment Model for Nebraska, USA. Natural Hazards 33, 1–21. National Drought Mitigation Center, Lincoln, Nebraska.
  27. Yan, J. (2010). Disaster Risk Assessment: Disaster Risk Mapping. Training Workshop on Drought Risk Assessment for the Agricultural Sector – Ljubijana, Slovenia. Sept 20-24, 2010.