1 Introduction: IRDR Young Scientists—Analysis of Researchers …
3
Fig. 1.1 Geographical distribution of authors
1.2 Structure of the Book and Summary of Book Chapters
The book is organized into three major parts which reflect the Sendai Framework for
Disaster Risk Reduction. Part 1 is on characterization of hazard, vulnerability,
and risk. There are 7 chapters in this part, focusing on floods, tropical cyclones,
heat, landslides, and earthquake and tsunamis. Chapter 2 is titled Application
of a Machine Learning Technique for Developing Short-Term Flood and Drought
Forecasting Models in Tropical mountainous catchments, by Muñoz et al. Taking the
case of tropical Andes in South America, they use Random Forest (RF) algorithm
to develop short-term flood and drought forecasting models. They state that the
applicability of this study is to assist authorities in flood and drought management
to evaluate hazard risks and to find the basis for developing integrated action plans
from a local and regional perspective.
Chapter 3 is titled Increasing trends in tropical cyclone induced surge impacts
over North Indian Ocean by Sattar and Cheung. Tropical cyclone (TC) is a wellknown natural disaster that can devastate much of a society, environment, economy,
and result in people’s deaths. The North Indian Ocean (NIO) is one ocean basin that
is very prone to TC. TCs often cause huge human casualties in densely populated
communities like Bangladesh, India, and Myanmar around the Bay of Bengal (BoB)
region of the NIO. They found that while almost all intense TCs had historically made
landfall around the BoB region, climate model projection simulated more intense TCs
over the AS, which indicates larger and more destructive TCs especially around the
coastal areas of the AS.
Chapter 4 is titled Forest Fire Risk Assessment in Metropolitan Areas using Wildfire Ignition Probability and Spreading Capacity Index: Case study of Tirana, Albania,
by Hysa. The chapter develops a cost-free and rapid method for categorizing the
3
Fig. 1.1 Geographical distribution of authors
1.2 Structure of the Book and Summary of Book Chapters
The book is organized into three major parts which reflect the Sendai Framework for
Disaster Risk Reduction. Part 1 is on characterization of hazard, vulnerability,
and risk. There are 7 chapters in this part, focusing on floods, tropical cyclones,
heat, landslides, and earthquake and tsunamis. Chapter 2 is titled Application
of a Machine Learning Technique for Developing Short-Term Flood and Drought
Forecasting Models in Tropical mountainous catchments, by Muñoz et al. Taking the
case of tropical Andes in South America, they use Random Forest (RF) algorithm
to develop short-term flood and drought forecasting models. They state that the
applicability of this study is to assist authorities in flood and drought management
to evaluate hazard risks and to find the basis for developing integrated action plans
from a local and regional perspective.
Chapter 3 is titled Increasing trends in tropical cyclone induced surge impacts
over North Indian Ocean by Sattar and Cheung. Tropical cyclone (TC) is a wellknown natural disaster that can devastate much of a society, environment, economy,
and result in people’s deaths. The North Indian Ocean (NIO) is one ocean basin that
is very prone to TC. TCs often cause huge human casualties in densely populated
communities like Bangladesh, India, and Myanmar around the Bay of Bengal (BoB)
region of the NIO. They found that while almost all intense TCs had historically made
landfall around the BoB region, climate model projection simulated more intense TCs
over the AS, which indicates larger and more destructive TCs especially around the
coastal areas of the AS.
Chapter 4 is titled Forest Fire Risk Assessment in Metropolitan Areas using Wildfire Ignition Probability and Spreading Capacity Index: Case study of Tirana, Albania,
by Hysa. The chapter develops a cost-free and rapid method for categorizing the