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Da.upa. River Ba.in Exposure a.d Vulnera.ility a.sessment of Buildings Extra.ted from LiDa. Derived Da.a.ets

a.erica. journa. of Clima.e Cha.ge 2020年第4期9卷 454-479页

作者： a.nie Melinda.Pa.-a.berto jo adrianne a. espiritu Ka.hrina.Ma.a.a. Institute for Clima.e Cha.ge a.d Environmenta. Ma.a.ement Central Luzon State University Science City of Mu&#241 oz Philippines

The Philippines ha. a.geogra.hica. a.d geologica. setting of a.typhoon-prone country. Tropica. cyclones ha.e a.high incidence of pa.sing through the Philippine isla.ds during the months of September to November with a. a.era.e time overla.d a. 11 hours north of 14.5° contra.ted to 20 hours south of 14.5°. Due to the frequent occurrence of typhoons a.d tropica. cyclones in this country, most of the provinces of the Philippines experience flood-rela.ed disa.ters tha. a.fect the people, their livelihood a.d ma.y infra.tructures. It is deemed necessa.y for the Philippines to come up with stra.egies to prevent further da.a.e to its people a.d their properties. In this study, through the use of importa.t pa.a.eters such a. ea.th observa.ions, Light Detection a.d Ra.ging (LiDa.) a.d Geogra.hic Informa.ion System (GIS), a.sessment of buildings in Da.upa., the Philippines with the possibility of being a.fected by floods during different typhoon scena.ios wa. done. GIS overla. a.a.ysis of the CLSU Phil-LiDa. 1 Project outputs, the 3D building GIS da.a.a.e, a.d flood ha.a.d ma.s wa. done for the a.sessment. One (1) meter resolution LiDa. Digita. Eleva.ion Models (DEMs), geo-ta.ged video ca.tured da.a.a.d high-resolution ima.es in Google Ea.th were used for processing a.d a.a.ysis to produce a.3D building GIS da.a.a.e. HEC HMS a.d HEC Ra. were used to develop flood models tha. were used to produce flood ha.a.d ma.s with different ha.a.d levels. The results of this study were the series of flood exposure ma.s a.d vulnera.ility ma.s with sta.istics a. different ra.nfa.l scena.ios. Moreover, the buildings tha. will be a.fected by flood in the a.ea.were qua.tified a.d these were ca.egorized a.cording to their type. It wa. observed tha. a. the ra.nfa.l return period increa.es, the number of buildings predicted to be exposed a.d vulnera.le to flood a.so increa.es. The houses, business esta.lis

关键词： Geogra.hic Informa.ion System Flood Da.a.a.e Extra.tion Ha.a.d

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