Reducing the Risk of Flood Disasters in Lamongan Regency Using the Geographic Information System (GIS)
DOI:
https://doi.org/10.30737/ukarst.v5i2.2079Keywords:
Flood, Flood Prone Map, GIS, Landsat 8, Remote SensingAbstract
Flood disasters cause negative impacts, such as damage to facilities to the onset of fatalities. Reducing the risk of flooding needs to be done to reduce the impact caused by this disaster. Lamongan Regency is one of the regencies in East Java affected by floods every year in most of its areas. This study aims to reduce the risk caused by flooding by using GIS (Geographic Information System). Mitigation is done by determining areas with a high potential risk of being affected by flooding. The study used spatial analysis functions in ArcGIS. Supporting variables used rainfall, land cover, slope, soil texture, and watershed area, and it becomes important in determining flood-prone areas. From the results, the largest soil classification is the Kpl soil type. Litosol Gray Grumosol, The wide distribution of rainfall from 1500-1750 mm has the widest distribution is 66,67 ha. The slope of 0-8% has the widest distribution of 92,257 ha, making Lamongan a very vulnerable high flood area. Laren District is the District with the greatest flood potential, and Irrigated Field is the dominant land cover type affected by the flood. With the flood disaster map generated from this research, local governments can seek prevention in areas with high flood potential. They can carry out socialization based on disaster mitigation, especially for districts with potential flooding.
References
Lk. A.T.N.Dang, "Application of remote sensing and GIS-based hydrological modeling for flood risk analysis: a case study of District8," Nat.HazardsRisk, vol. 8, pp. 1792–1811., 2017.
E. U.L.Dano, M.A.Alhefnawi, F.Al-Shihri, "Assessing the Accuracy of Image Classification Algorithms Using During-Flood Terra SAR-X Imagery," Disaster Adv., vol. 13, no. 8, 2020.
A. G. N. and O. G. Adhanom, "Flood Hazard and Flood Risk Vulnerability Mapping Using Geo-Spatial and MCDA around Adigrat, Tigray Region, Northern Ethiopia," Momona Ethiop. J. Sci., vol. VII, no. 1, pp. 90–107, 2019.
T. Dereli, · Nazmiye Eligüzel, and · Cihan Çetinkaya, "Content analyses of the international federation of red cross and red crescent societies (if) based on machine learning techniques through twitter," Nat. Hazards, vol. 106, pp. 2025–2045, 2021, doi: 10.1007/s11069-021-04527-w.
M. Sakurai and Y. Murayama, "Information technologies and disaster management – Benefits and issues -," Prog. Disaster Sci., vol. 2, p. 100012, Jul. 2019, doi: 10.1016/J.PDISAS.2019.100012.
R. U. A. W. A. D. Wicaksono, E. Hidayah, "Flood Vulnerability Assessment of Kali Welang Floodplain by Using Analytic Hierarchy Process Based Methods," Univ. Kadiri Ris. Tek. Sipil, vol. 5, no. 1, pp. 96–109, 2021, doi: http://dx.doi.org/10.30737/ukarst.v3i2.
O. C. E. and L. S. Okwu-Delunzu Virginia Ugoyibo, "Spatial Assessment of Flood Vulnerability in Anambra East Local Government Area, Nigeria Using GIS and Remote Sensing," Br. J. Appl. Sci. Technol., vol. 19, no. 5, pp. 1–11, 2017.
BNPB, “KEJADIAN BENCANA DI WILAYAH KABUPATEN LAMONGAN TAHUN 2019 S/D 2021,†2021.
S. A. H. Sabzevari and S. M. Kashani, "GIS Application for Mapping of Flood Hazard by Causative Factors for Flooding of Sarpol-e Zahab," 2020.
H. Allafta and C. Opp, "GIS-based multi-criteria analysis for flood prone areas mapping in the transboundary Shatt Al-Arab basin, Iraq-Iran," 2021, doi: 10.1080/19475705.2021.1955755.
G. J-P Schumann, G. Robert Brakenridge, A. J. Kettner, R. Kashif, and E. Niebuhr, "Assisting Flood Disaster Response with Earth Observation Data and Products: A Critical Assessment," 2018, doi: 10.3390/rs10081230.
A. A. M Dede, M A Widiawaty, G P Pramulatsih, A Ismail, H Murtianto, "Integration Of Participatory Mapping, Crowdsourcing And Geographic Information System In Flood Disaster Management (Case Study Ciledug Lor, Cirebon)," J. Inf. Technol. Its Util., vol. 2, no. 2, 2019.
R. O. Salami, J. K. von Meding, and H. Giggins, "Vulnerability of human settlements to flood risk in the core area of Ibadan metropolis, Nigeria," Jamba J. Disaster Risk Stud., vol. 9, no. 1, 2017, doi: 10.4102/JAMBA.V9I1.371.
F. Cian, M. Marconcini, and P. Ceccato, "Normalized Difference Flood Index for rapid flood mapping: Taking advantage of EO big data," Remote Sens. Environ., vol. 209, pp. 712–730, May 2018, doi: 10.1016/J.RSE.2018.03.006.
and N. A. S. M. Bukari, M. A. Ahmad, T. L. Wai, M. Kaamin, "Spatial analysis in determination of flood prone areas using geographic information system and analytical hierarchy process at Sungai Sembrong's catchment," in IOP Conference Series: Materials Science and Engineering, 2016, pp. 1–6.
R. Fatin Faiqa Norkhairi, Sivadass Thiruchelvam, Hasril Hasini, Lariyah Mohd Sidek, R. S. Sabri Muda, Azrul Ghazali, Kamal Nasharuddin Mustapha, Hidayah Basri, and D. Singh, "Application of GIS as Part of Flood Risk Management for Evacuation of Vulnerable Communities during Disaster in Kenyir, Terengganu Darul Iman," Int. J. Recent Technol. Eng., vol. 7, no. 5, pp. 505–508, 2019.
T. Z. Xiao Y, Yi S, "GIS-based multi-criteria analysis method for flood risk assessment under urbanization. In: 2016," in 24th International Conference on Geoinformatics, 2016, pp. 1–5.
B. S. Hazarika N, Barman D, Das AK, Sarma AK, "Assessing and mapping flood hazard, vulnerability and risk in the upper Brahmaputra River valley using stakeholders' knowledge and multicriteria evaluation (MCE)," J Flood Risk Manag., vol. 11, no. S, pp. 700–S716., 2018.
D. S. Gigovi_c L, Pamu_car D, Baji_c Z, "Application of GIS-Interval rough AHP methodology for flood hazard mapping in urban areas," Water, vol. 9, no. 6, pp. 360–326., 2017.
M. F. Rimba AB, Setiawati MD, Sambah AB, "Physical flood vulnerability mapping applying geospatial techniques in Okazaki City, Aichi Prefecture. Japan.," Urban Sci, vol. 1, no. 1, pp. 7–22., 2017.
T. S. Seejata K, Yodying A, Wongthadam T, Mahavik N, "Assessment of flood hazard areas using Analytical Hierarchy Process over the Lower Yom Basin, Sukhothai Province.," Procedia Eng, vol. 212, pp. 340–347., 2018.
and S. L. R. De Risi, F. Jalayer, F. D. Paola, "Delineation of flooding risk hotspots based on digital elevation model, calculated and historical flooding extents: the case of Ouagadougou," Stoch. Environ. Res. Risk Assess., vol. 32, no. 6, 2018.
J. Ran and Z. Nedovic-Budic, "Integrating spatial planning and flood risk management: A new conceptual framework for the spatially integrated policy infrastructure," Comput. Environ. Urban Syst., vol. 57, pp. 68–79, May 2016, doi: 10.1016/J.COMPENVURBSYS.2016.01.008.
M. F. Romdhoni, "The Use of Landsat Image and Census Data for Modelling Population Density and Urban Density in Palembang, Indonesia," J. Archit. Res. Des. Stud., vol. 4, no. 2, 2020.
A. H. Duhita, Anselma Diksita Prajna, Adam Pamudji Rahardjo, "The Effect of Slope on the Infiltration Capacity and Erosion of Mount Merapi Slope Materials," J. Civ. Eng. Forum, vol. 7, no. 1, pp. 71–84, 2021.
D. Agustin, “Analisis Banjir Dengan Menggunakan Citra Satelit Multilevel Di Kecamatan Rengel Kabupaten Tuban,†Institut TeknologiSepuluh Nopember, 2017.
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