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

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...

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Main Authors: G. Puno, R. Puno, I. Maghuyop
Format: Article
Language:English
Published: GJESM Publisher 2021-04-01
Series:Global Journal of Environmental Science and Management
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Online Access:https://www.gjesm.net/article_239480_553f487051397f5d14929b682df7a8e8.pdf
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author G. Puno
R. Puno
I. Maghuyop
author_facet G. Puno
R. Puno
I. Maghuyop
author_sort G. Puno
collection DOAJ
description 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.
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spelling doaj-art-c7d131a61c1a491fa1580f880b1b98422025-02-02T00:23:52ZengGJESM PublisherGlobal Journal of Environmental Science and Management2383-35722383-38662021-04-017222523810.22034/gjesm.2021.02.06239480Two-dimensional flood model for risk exposure analysis of land use/land cover in a watershedG. Puno0R. Puno1I. Maghuyop2College of Forestry and Environmental Science, Central Mindanao University, Musuan, Maramag, PhilippinesCollege of Forestry and Environmental Science, Central Mindanao University, Musuan, Maramag, PhilippinesCollege of Forestry and Environmental Science, Central Mindanao University, Musuan, Maramag, PhilippinesBACKGROUND 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.https://www.gjesm.net/article_239480_553f487051397f5d14929b682df7a8e8.pdfclimate changehazardsremote sensingresilience, return period
spellingShingle G. Puno
R. Puno
I. Maghuyop
Two-dimensional flood model for risk exposure analysis of land use/land cover in a watershed
Global Journal of Environmental Science and Management
climate change
hazards
remote sensing
resilience, return period
title Two-dimensional flood model for risk exposure analysis of land use/land cover in a watershed
title_full Two-dimensional flood model for risk exposure analysis of land use/land cover in a watershed
title_fullStr Two-dimensional flood model for risk exposure analysis of land use/land cover in a watershed
title_full_unstemmed Two-dimensional flood model for risk exposure analysis of land use/land cover in a watershed
title_short Two-dimensional flood model for risk exposure analysis of land use/land cover in a watershed
title_sort two dimensional flood model for risk exposure analysis of land use land cover in a watershed
topic climate change
hazards
remote sensing
resilience, return period
url https://www.gjesm.net/article_239480_553f487051397f5d14929b682df7a8e8.pdf
work_keys_str_mv AT gpuno twodimensionalfloodmodelforriskexposureanalysisoflanduselandcoverinawatershed
AT rpuno twodimensionalfloodmodelforriskexposureanalysisoflanduselandcoverinawatershed
AT imaghuyop twodimensionalfloodmodelforriskexposureanalysisoflanduselandcoverinawatershed