scholarly journals AN ATTEMPT TO DEVELOP AN ENVIRONMENTAL INFORMATION SYSTEM OF ECOLOGICAL INFRASTRUCTURE FOR EVALUATING FUNCTIONS OF ECOSYSTEM-BASED SOLUTIONS FOR DISASTER RISK REDUCTION (ECO-DRR)

Author(s):  
T. Doko ◽  
W. Chen ◽  
K. Sasaki ◽  
T. Furutani

“Ecological Infrastructure (EI)” are defined as naturally functioning ecosystems that deliver valuable services to people, such as healthy mountain catchments, rivers, wetlands, coastal dunes, and nodes and corridors of natural habitat, which together form a network of interconnected structural elements in the landscape. On the other hand, natural disaster occur at the locations where habitat was reduced due to the changes of land use, in which the land was converted to the settlements and agricultural cropland. Hence, habitat loss and natural disaster are linked closely. Ecological infrastructure is the nature-based equivalent of built or hard infrastructure, and is as important for providing services and underpinning socio-economic development. Hence, ecological infrastructure is expected to contribute to functioning as ecological disaster reduction, which is termed Ecosystem-based Solutions for Disaster Risk Reduction (Eco-DRR). Although ecological infrastructure already exists in the landscape, it might be degraded, needs to be maintained and managed, and in some cases restored. Maintenance and restoration of ecological infrastructure is important for security of human lives. Therefore, analytical tool and effective visualization tool in spatially explicit way for the past natural disaster and future prediction of natural disaster in relation to ecological infrastructure is considered helpful. Hence, Web-GIS based Ecological Infrastructure Environmental Information System (EI-EIS) has been developed. This paper aims to describe the procedure of development and future application of EI-EIS. The purpose of the EI-EIS is to evaluate functions of Eco-DRR. In order to analyse disaster data, collection of past disaster information, and disaster-prone area is effective. First, a number of digital maps and analogue maps in Japan and Europe were collected. In total, 18,572 maps over 100 years were collected. The Japanese data includes Future-Pop Data Series (1,736 maps), JMC dataset 50m grid (elevation) (13,071 maps), Old Edition Maps: Topographic Map (325 maps), Digital Base Map at a scale of 2500 for reconstruction planning (808 maps), Detailed Digital Land Use Information for Metropolitan Area (10 m land use) (2,436 maps), and Digital Information by GSI (national large scale map) (71 maps). Old Edition Maps: Topographic Map were analogue maps, and were scanned and georeferenced. These geographical area covered 1) Tohoku area, 2) Five Lakes of Mikata area (Fukui), 3) Ooshima Island (Tokyo), 4) Hiroshima area (Hiroshima), 5) Okushiri Island (Hokkaido), and 6) Toyooka City area (Hyogo). The European data includes topographic map in Germany (8 maps), old topographic map in Germany (31 maps), ancient map in Germany (23 maps), topographic map in Austria (9 maps), old topographic map in Austria (17 maps), and ancient map in Austria (37 maps). Second, focusing on Five Lakes of Mikata area as an example, these maps were integrated into the ArcGIS Online® (ESRI). These data can be overlaid, and time-series data can be visualized by a time slider function of ArcGIS Online.

Author(s):  
T. Doko ◽  
W. Chen ◽  
K. Sasaki ◽  
T. Furutani

“Ecological Infrastructure (EI)” are defined as naturally functioning ecosystems that deliver valuable services to people, such as healthy mountain catchments, rivers, wetlands, coastal dunes, and nodes and corridors of natural habitat, which together form a network of interconnected structural elements in the landscape. On the other hand, natural disaster occur at the locations where habitat was reduced due to the changes of land use, in which the land was converted to the settlements and agricultural cropland. Hence, habitat loss and natural disaster are linked closely. Ecological infrastructure is the nature-based equivalent of built or hard infrastructure, and is as important for providing services and underpinning socio-economic development. Hence, ecological infrastructure is expected to contribute to functioning as ecological disaster reduction, which is termed Ecosystem-based Solutions for Disaster Risk Reduction (Eco-DRR). Although ecological infrastructure already exists in the landscape, it might be degraded, needs to be maintained and managed, and in some cases restored. Maintenance and restoration of ecological infrastructure is important for security of human lives. Therefore, analytical tool and effective visualization tool in spatially explicit way for the past natural disaster and future prediction of natural disaster in relation to ecological infrastructure is considered helpful. Hence, Web-GIS based Ecological Infrastructure Environmental Information System (EI-EIS) has been developed. This paper aims to describe the procedure of development and future application of EI-EIS. The purpose of the EI-EIS is to evaluate functions of Eco-DRR. In order to analyse disaster data, collection of past disaster information, and disaster-prone area is effective. First, a number of digital maps and analogue maps in Japan and Europe were collected. In total, 18,572 maps over 100 years were collected. The Japanese data includes Future-Pop Data Series (1,736 maps), JMC dataset 50m grid (elevation) (13,071 maps), Old Edition Maps: Topographic Map (325 maps), Digital Base Map at a scale of 2500 for reconstruction planning (808 maps), Detailed Digital Land Use Information for Metropolitan Area (10 m land use) (2,436 maps), and Digital Information by GSI (national large scale map) (71 maps). Old Edition Maps: Topographic Map were analogue maps, and were scanned and georeferenced. These geographical area covered 1) Tohoku area, 2) Five Lakes of Mikata area (Fukui), 3) Ooshima Island (Tokyo), 4) Hiroshima area (Hiroshima), 5) Okushiri Island (Hokkaido), and 6) Toyooka City area (Hyogo). The European data includes topographic map in Germany (8 maps), old topographic map in Germany (31 maps), ancient map in Germany (23 maps), topographic map in Austria (9 maps), old topographic map in Austria (17 maps), and ancient map in Austria (37 maps). Second, focusing on Five Lakes of Mikata area as an example, these maps were integrated into the ArcGIS Online® (ESRI). These data can be overlaid, and time-series data can be visualized by a time slider function of ArcGIS Online.


Author(s):  
Eric K. Noji ◽  
Anas A. Khan

The complex and multifaceted nature of health risks secondary to natural disasters will require innovative, holistic, and problem-oriented approaches to risk and disaster management. The Hyogo Framework for Action 2005–2015 (HFA), the goal of which is to strengthen the resilience of nations and communities to natural disasters, is the inspiration for much of the current knowledge, practice, implementation, experience, and the science for natural disaster risk reduction. Natural disaster risk reduction offers a comprehensive framework where stakeholders can take coherent and complementary actions through political, social, technological, economic, and humanitarian processes to build resilience. The aim of the recent Hyogo initiative is to globally increase resilience and reduce vulnerability. This chapter will describe the current state of knowledge of the health consequences of natural disasters, the implications of these consequences for policy, and conclude with recommendations for action.


2018 ◽  
Vol 18 (7) ◽  
pp. 149-162
Author(s):  
Hyuntae Eom ◽  
Sangbin Nam ◽  
Dohyeong Kim ◽  
Hagyeol Kim ◽  
Myungje Woo

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Akanksha Pandey

Land-use planning, disasters and development are clearly related. Risk-sensitive development practices and responsible land use planning can contribute to resilience building. At the same time, poorly planned development can intensify social, economic, physical and environmental vulnerabilities of the population and can trigger devastating extreme events. Therefore, the process of disaster risk reduction has to be weaved into the developmental framework and India has given its commitment at national and international forums to ensure the same. However, since there is no specific policy on integrating DRR into development planning in India, this paper discusses the extent to which such integration is seen through one of the major projects- the Navi Mumbai International Airport (NMIA) in the planning and approval process, especially in the contexts of environmental vulnerabilities. The study suggests that there are serious gaps between the policy proclamations that seek to ensure sustainable development through DRR integration into development projects and its implementation. Thus, much more work is needed to enforce the idea of mainstreaming DRR in to foster risk aware or risk sensitive development. Data for this qualitative study was obtained from both primary as well as secondary sources.


2016 ◽  
Vol 11 (3) ◽  
pp. 459-469 ◽  
Author(s):  
Osamu Murao ◽  
◽  
Hiroko Sakaba

Three UN world conferences held on reducing disaster damage – the 1994 World Conference on Natural Disaster Reduction held in Yokohama during the International Decade for Natural Disaster Reduction, the 2005 World Conference on Disaster Reduction held in Hyogo Prefecture, and the 2015 World Conference on Disaster Risk Reduction held in Sendai – resulted in the Yokohama Strategy and Plan of Action for a Safer World, the Hyogo Framework for Action 2005-2015 (HFA), and the Sendai Framework for Disaster Risk Reduction 2015-2030.The sections that follow clarify Sendai Framework features compared to the Yokohama Strategy and the HFA based on a three-stage review of the literature:1) Overviews of the three documents, including framework structures, are arranged with basic conference information and a comparative study.2) A quantitative text analysis is conducted using the KH Coder, which is free quantitative text analysis software. Words occurring frequently in the documents are extracted and compared and a co-occurrence network is analyzed to determine relationships among these words.3) Features of the three documents, mainly focusing on the Sendai Framework, are specified and clarified based on the result of quantitative text analysis.


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