Two-dimensional flood model for risk exposure analysis of land use/land cover in a watershed

G. Puno, R. Puno, I. V. Maghuyop
{"title":"Two-dimensional flood model for risk exposure analysis of land use/land cover in a watershed","authors":"G. Puno, R. Puno, I. V. Maghuyop","doi":"10.22034/GJESM.2021.02.06","DOIUrl":null,"url":null,"abstract":"BACKGROUND AND OBJECTIVES: The study involved developing a two-dimensional flood model to analyze the risk exposure of land use/land cover based on the generated flood hazard maps for the six return period scenarios in the Solana watershed. METHODS: The approach consisted of applying hydrologic and hydraulic numerical flood models and the suite of advanced geographic information systems and remote sensing technologies. The process involved utilizing a high-resolution digital elevation model and a set of high-precision instruments such as the real-time kinematic-global position system receiver, digital flow meter, deep gauge, and automatic weather station in collecting the respective data on bathymetry, river discharge, river depth, and rainfall intensity during a particular climatic event, needed for the model development, calibration and validation. FINDINGS: The developed two-dimensional flood model could simulate flood hazard with an 86% accuracy level based on the coefficient of determination statistics. The flood risk exposure analysis revealed that coconut is the most affected, with 31.3% and 37.1% being at risk across the 2-year and 100-year return period scenarios, respectively. Results also showed that rice and pineapple are at risk of flooding damage with the increasing rate of exposure by a magnitude of 42.9 and 9.3 across the 2-year and 100-year flood scenarios, respectively. CONCLUSION: The study highlighted the integration of the findings and recommendations in the localized comprehensive land use plan and implementation to realize the challenge of building a climate change proof and a flood-resilient human settlement in the urbanizing watershed of Solana.","PeriodicalId":46495,"journal":{"name":"GLOBAL JOURNAL OF ENVIRONMENTAL SCIENCE AND MANAGEMENT-GJESM","volume":"1 1","pages":"225-238"},"PeriodicalIF":3.1000,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GLOBAL JOURNAL OF ENVIRONMENTAL SCIENCE AND MANAGEMENT-GJESM","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22034/GJESM.2021.02.06","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 10

Abstract

BACKGROUND AND OBJECTIVES: The study involved developing a two-dimensional flood model to analyze the risk exposure of land use/land cover based on the generated flood hazard maps for the six return period scenarios in the Solana watershed. METHODS: The approach consisted of applying hydrologic and hydraulic numerical flood models and the suite of advanced geographic information systems and remote sensing technologies. The process involved utilizing a high-resolution digital elevation model and a set of high-precision instruments such as the real-time kinematic-global position system receiver, digital flow meter, deep gauge, and automatic weather station in collecting the respective data on bathymetry, river discharge, river depth, and rainfall intensity during a particular climatic event, needed for the model development, calibration and validation. FINDINGS: The developed two-dimensional flood model could simulate flood hazard with an 86% accuracy level based on the coefficient of determination statistics. The flood risk exposure analysis revealed that coconut is the most affected, with 31.3% and 37.1% being at risk across the 2-year and 100-year return period scenarios, respectively. Results also showed that rice and pineapple are at risk of flooding damage with the increasing rate of exposure by a magnitude of 42.9 and 9.3 across the 2-year and 100-year flood scenarios, respectively. CONCLUSION: The study highlighted the integration of the findings and recommendations in the localized comprehensive land use plan and implementation to realize the challenge of building a climate change proof and a flood-resilient human settlement in the urbanizing watershed of Solana.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于二维洪水模型的流域土地利用/土地覆盖风险暴露分析
背景与目的:基于生成的索拉纳流域六个回归期情景的洪水灾害图,本研究建立了一个二维洪水模型,以分析土地利用/土地覆盖的风险暴露。方法:采用水文水力数值洪水模型,结合先进的地理信息系统和遥感技术。该过程包括利用高分辨率数字高程模型和一套高精度仪器,如实时运动学全球定位系统接收器、数字流量计、深度计和自动气象站,在特定气候事件中收集有关水深、河流流量、河流深度和降雨强度的数据,这些数据是模型开发、校准和验证所需的。结果:基于确定统计系数,建立的二维洪水模型能以86%的准确率模拟洪水灾害。洪水风险暴露分析显示,椰子是受影响最大的,在2年和100年的回归期情景中,分别有31.3%和37.1%的风险。结果还表明,在2年和100年的洪水情景中,水稻和菠萝面临洪水破坏的风险,暴露率分别增加了42.9和9.3级。结论:该研究强调了将研究结果和建议整合到局部土地综合利用规划和实施中,以实现索拉纳城市化流域建设气候变化和抗洪人类住区的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
7.90
自引率
2.90%
发文量
11
审稿时长
8 weeks
期刊最新文献
Urban green space during the Coronavirus disease pandemic with regard to the socioeconomic characteristics Healthcare waste characteristics and management in regional hospital and private clinic Environmental effect of the Coronavirus-19 determinants and lockdown on carbon emissions Carbon footprint and cost analysis of a bicycle lane in a municipality Microplastic abundance and distribution in surface water and sediment collected from the coastal area
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1