Land cover change and the use of SoilGrids data for assessing flash flood in Marikina river basin, The Philippines : abastract

D.P. Shrestha, B.M. Brebante, V.G. Jetten, E. Herrera, A.C. Blanco, R.M. Gonzalez, D. Alkema

Research output: Contribution to conferenceAbstractOther research output

Abstract

Severe flooding causes damage to properties, disruption of economic activities and loss of lives. In the Philippines flooding is of particular concern because it can affect heavily populated areas like Manila. Excessive rain is often the major cause but anthropogenic activities such as deforestation, land use changes, and urbanization also affect flood risk.
Event based models help in understanding the interactions of falling rain on vegetation cover and soil in generating surface runoff and stream discharge from a catchment. If sufficient good quality data is available it is possible to generate flood hazard maps and scenarios of extreme rain events. But data availability is often crucial problem in many places. Meteorological stations generally collect daily rainfall data which is not suitable to simulate floods. Similarly, land use maps can be outdated and soil maps may not be available. In the absence of laboratory analysis data on soil, parameters required to run the model are often generated from soil texture using pedo-transfer functions. Recently 250 m soil grid data, based on global covariates and globally fitted models, is available (www.soilgrids.org) which eases the data scarcity problem. However, it is based on a self-learning statistical method and its quality depends on the original data density. In this research we study the sensitivity of using SoilGrid and other sources of soil related information for flashflood hazard in the Marikina River Basin. Also the influence of land cover change is studied. OpenLisem is applied to generate flood scenarios.
The results shows that SoilGrid is a useful data source solving data scarcity problems. However, its use should be supported by some soil sampling and lab analysis. The results also show that vegetation cover change has an insignificant effect during convective or extreme conditions. In the downstream part, urbanization has an effect on flood extent, volume and flood duration.
Original languageEnglish
Publication statusPublished - 2018
EventAOGS-EGU Joint Conference: New Dimensions for Natural Hazards in Asia - Tagaytay, Philippines
Duration: 4 Feb 20186 Feb 2018

Conference

ConferenceAOGS-EGU Joint Conference
CountryPhilippines
CityTagaytay
Period4/02/186/02/18

Fingerprint

flash flood
land cover
river basin
soil
vegetation cover
urbanization
flooding
hazard
soil texture
transfer function
data quality
economic activity
deforestation
land use change
human activity
learning
catchment
runoff
land use
rainfall

Cite this

Shrestha, D. P., Brebante, B. M., Jetten, V. G., Herrera, E., Blanco, A. C., Gonzalez, R. M., & Alkema, D. (2018). Land cover change and the use of SoilGrids data for assessing flash flood in Marikina river basin, The Philippines : abastract. Abstract from AOGS-EGU Joint Conference, Tagaytay, Philippines.
Shrestha, D.P. ; Brebante, B.M. ; Jetten, V.G. ; Herrera, E. ; Blanco, A.C. ; Gonzalez, R.M. ; Alkema, D. / Land cover change and the use of SoilGrids data for assessing flash flood in Marikina river basin, The Philippines : abastract. Abstract from AOGS-EGU Joint Conference, Tagaytay, Philippines.
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abstract = "Severe flooding causes damage to properties, disruption of economic activities and loss of lives. In the Philippines flooding is of particular concern because it can affect heavily populated areas like Manila. Excessive rain is often the major cause but anthropogenic activities such as deforestation, land use changes, and urbanization also affect flood risk.Event based models help in understanding the interactions of falling rain on vegetation cover and soil in generating surface runoff and stream discharge from a catchment. If sufficient good quality data is available it is possible to generate flood hazard maps and scenarios of extreme rain events. But data availability is often crucial problem in many places. Meteorological stations generally collect daily rainfall data which is not suitable to simulate floods. Similarly, land use maps can be outdated and soil maps may not be available. In the absence of laboratory analysis data on soil, parameters required to run the model are often generated from soil texture using pedo-transfer functions. Recently 250 m soil grid data, based on global covariates and globally fitted models, is available (www.soilgrids.org) which eases the data scarcity problem. However, it is based on a self-learning statistical method and its quality depends on the original data density. In this research we study the sensitivity of using SoilGrid and other sources of soil related information for flashflood hazard in the Marikina River Basin. Also the influence of land cover change is studied. OpenLisem is applied to generate flood scenarios.The results shows that SoilGrid is a useful data source solving data scarcity problems. However, its use should be supported by some soil sampling and lab analysis. The results also show that vegetation cover change has an insignificant effect during convective or extreme conditions. In the downstream part, urbanization has an effect on flood extent, volume and flood duration.",
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Shrestha, DP, Brebante, BM, Jetten, VG, Herrera, E, Blanco, AC, Gonzalez, RM & Alkema, D 2018, 'Land cover change and the use of SoilGrids data for assessing flash flood in Marikina river basin, The Philippines : abastract' AOGS-EGU Joint Conference, Tagaytay, Philippines, 4/02/18 - 6/02/18, .

Land cover change and the use of SoilGrids data for assessing flash flood in Marikina river basin, The Philippines : abastract. / Shrestha, D.P.; Brebante, B.M.; Jetten, V.G.; Herrera, E.; Blanco, A.C.; Gonzalez, R.M.; Alkema, D.

2018. Abstract from AOGS-EGU Joint Conference, Tagaytay, Philippines.

Research output: Contribution to conferenceAbstractOther research output

TY - CONF

T1 - Land cover change and the use of SoilGrids data for assessing flash flood in Marikina river basin, The Philippines : abastract

AU - Shrestha, D.P.

AU - Brebante, B.M.

AU - Jetten, V.G.

AU - Herrera, E.

AU - Blanco, A.C.

AU - Gonzalez, R.M.

AU - Alkema, D.

PY - 2018

Y1 - 2018

N2 - Severe flooding causes damage to properties, disruption of economic activities and loss of lives. In the Philippines flooding is of particular concern because it can affect heavily populated areas like Manila. Excessive rain is often the major cause but anthropogenic activities such as deforestation, land use changes, and urbanization also affect flood risk.Event based models help in understanding the interactions of falling rain on vegetation cover and soil in generating surface runoff and stream discharge from a catchment. If sufficient good quality data is available it is possible to generate flood hazard maps and scenarios of extreme rain events. But data availability is often crucial problem in many places. Meteorological stations generally collect daily rainfall data which is not suitable to simulate floods. Similarly, land use maps can be outdated and soil maps may not be available. In the absence of laboratory analysis data on soil, parameters required to run the model are often generated from soil texture using pedo-transfer functions. Recently 250 m soil grid data, based on global covariates and globally fitted models, is available (www.soilgrids.org) which eases the data scarcity problem. However, it is based on a self-learning statistical method and its quality depends on the original data density. In this research we study the sensitivity of using SoilGrid and other sources of soil related information for flashflood hazard in the Marikina River Basin. Also the influence of land cover change is studied. OpenLisem is applied to generate flood scenarios.The results shows that SoilGrid is a useful data source solving data scarcity problems. However, its use should be supported by some soil sampling and lab analysis. The results also show that vegetation cover change has an insignificant effect during convective or extreme conditions. In the downstream part, urbanization has an effect on flood extent, volume and flood duration.

AB - Severe flooding causes damage to properties, disruption of economic activities and loss of lives. In the Philippines flooding is of particular concern because it can affect heavily populated areas like Manila. Excessive rain is often the major cause but anthropogenic activities such as deforestation, land use changes, and urbanization also affect flood risk.Event based models help in understanding the interactions of falling rain on vegetation cover and soil in generating surface runoff and stream discharge from a catchment. If sufficient good quality data is available it is possible to generate flood hazard maps and scenarios of extreme rain events. But data availability is often crucial problem in many places. Meteorological stations generally collect daily rainfall data which is not suitable to simulate floods. Similarly, land use maps can be outdated and soil maps may not be available. In the absence of laboratory analysis data on soil, parameters required to run the model are often generated from soil texture using pedo-transfer functions. Recently 250 m soil grid data, based on global covariates and globally fitted models, is available (www.soilgrids.org) which eases the data scarcity problem. However, it is based on a self-learning statistical method and its quality depends on the original data density. In this research we study the sensitivity of using SoilGrid and other sources of soil related information for flashflood hazard in the Marikina River Basin. Also the influence of land cover change is studied. OpenLisem is applied to generate flood scenarios.The results shows that SoilGrid is a useful data source solving data scarcity problems. However, its use should be supported by some soil sampling and lab analysis. The results also show that vegetation cover change has an insignificant effect during convective or extreme conditions. In the downstream part, urbanization has an effect on flood extent, volume and flood duration.

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2018/pres/shrestha_lan_abs.pdf

M3 - Abstract

ER -

Shrestha DP, Brebante BM, Jetten VG, Herrera E, Blanco AC, Gonzalez RM et al. Land cover change and the use of SoilGrids data for assessing flash flood in Marikina river basin, The Philippines : abastract. 2018. Abstract from AOGS-EGU Joint Conference, Tagaytay, Philippines.