4
R. Djalante and R. Shaw
forest surfaces in metropolitan areas based on their Wildfire Ignition Probability
Index (WIPI) and Wildfire Spreading Capacity Index (WSCI). The results of the
study validate a rapid and cost-free method for forest fire risk assessment being
applicable and reproducible on similar study areas at metropolitan scale, in support
of forest fire risk reduction agenda at local level.
Chapter 5 is an overview of Integrated Flood Analysis System (IFAS) studies in
Insufficiently Gauged Catchments: Approaches, Challenges and Prospects, by Chow.
The chapter develops Flood Analysis System (IFAS) to predict the flood event in
insufficiently gauged catchments. IFAS can automatically collect the geographical
data, soil type, land uses, and satellite rainfall data to set up the river basin model
for flood simulations. They find that IFAS can better simulate the flood in large river
basins compared to small river basins. Flood forecasting with calibrated satellite
rainfall data in IFAS model performed higher reproducibility than satellite rainfall
without calibration particularly for the beginning and peak of hydrograph.
Chapter 6 is titled Heat Vulnerability Index development and application in Medan
City, Indonesia, by Setiawati et al. The chapter aims to assess heat vulnerability in
Medan City, by developing and applying Heat Vulnerability Index (HVI) based on
the commonly used health indicators and principal component analysis (PCA). They
find that though the impacts of heat stress are alarming, the integration of heat-related
risk map into the master plan for spatial planning of Medan City have not been taken
into consideration. This information will be very useful for local authorities when
deciding on targeted campaign of urban climate adaptation and assist the heat warning
system in the future.
Chapter 7 is titled Identification of Landslide Prone Areas through multiple GISbased Susceptibility Assessments: Case study of Chepe River, Nepal, by Kripa et al.
Statistical Index Model and Logistic Regression Model were compared for performance through Geographical Information System (GIS), to derive landslide hazard
map of the Chepe River corridor. Eleven factors (slope, aspect, geology, distance to
road, land use, rainfall, elevation, relief, drainage density, plan curvature, and profile
curvature) were considered as possible key factors for the landslide susceptibility
assessment. They find that logistic regression model seems to have better applicability in the Chepe river corridor in comparison to statistical index method using the
same 11 triggering factors.
Chapter 8 is titled Resilience Capacity Index and Migration Patterns after disaster
among the Japanese and Foreign Residents at the Municipality Level in Japan, by
Matsuura. The chapter aims to contribute to the literature of resilience measurement
in two ways. First, the chapter develops a Japanese version of the Resilience Capacity
Index (RCI), which was ranked at the highest sub-national level resilience index in
terms of maturity according to the UNDP’s systematic review (2014). Second, it
examines how high- and low-community resilience measured by RCI affects intermunicipality migrations among Japanese nationals and foreign residents. The results
of this paper suggest the need for a strategy to reduce the number of municipalities
with low resilience and encourage more inclusive and participatory communities for
foreigners.
R. Djalante and R. Shaw
forest surfaces in metropolitan areas based on their Wildfire Ignition Probability
Index (WIPI) and Wildfire Spreading Capacity Index (WSCI). The results of the
study validate a rapid and cost-free method for forest fire risk assessment being
applicable and reproducible on similar study areas at metropolitan scale, in support
of forest fire risk reduction agenda at local level.
Chapter 5 is an overview of Integrated Flood Analysis System (IFAS) studies in
Insufficiently Gauged Catchments: Approaches, Challenges and Prospects, by Chow.
The chapter develops Flood Analysis System (IFAS) to predict the flood event in
insufficiently gauged catchments. IFAS can automatically collect the geographical
data, soil type, land uses, and satellite rainfall data to set up the river basin model
for flood simulations. They find that IFAS can better simulate the flood in large river
basins compared to small river basins. Flood forecasting with calibrated satellite
rainfall data in IFAS model performed higher reproducibility than satellite rainfall
without calibration particularly for the beginning and peak of hydrograph.
Chapter 6 is titled Heat Vulnerability Index development and application in Medan
City, Indonesia, by Setiawati et al. The chapter aims to assess heat vulnerability in
Medan City, by developing and applying Heat Vulnerability Index (HVI) based on
the commonly used health indicators and principal component analysis (PCA). They
find that though the impacts of heat stress are alarming, the integration of heat-related
risk map into the master plan for spatial planning of Medan City have not been taken
into consideration. This information will be very useful for local authorities when
deciding on targeted campaign of urban climate adaptation and assist the heat warning
system in the future.
Chapter 7 is titled Identification of Landslide Prone Areas through multiple GISbased Susceptibility Assessments: Case study of Chepe River, Nepal, by Kripa et al.
Statistical Index Model and Logistic Regression Model were compared for performance through Geographical Information System (GIS), to derive landslide hazard
map of the Chepe River corridor. Eleven factors (slope, aspect, geology, distance to
road, land use, rainfall, elevation, relief, drainage density, plan curvature, and profile
curvature) were considered as possible key factors for the landslide susceptibility
assessment. They find that logistic regression model seems to have better applicability in the Chepe river corridor in comparison to statistical index method using the
same 11 triggering factors.
Chapter 8 is titled Resilience Capacity Index and Migration Patterns after disaster
among the Japanese and Foreign Residents at the Municipality Level in Japan, by
Matsuura. The chapter aims to contribute to the literature of resilience measurement
in two ways. First, the chapter develops a Japanese version of the Resilience Capacity
Index (RCI), which was ranked at the highest sub-national level resilience index in
terms of maturity according to the UNDP’s systematic review (2014). Second, it
examines how high- and low-community resilience measured by RCI affects intermunicipality migrations among Japanese nationals and foreign residents. The results
of this paper suggest the need for a strategy to reduce the number of municipalities
with low resilience and encourage more inclusive and participatory communities for
foreigners.