Suitable small farm reservoir development planning for drought disaster risk management of agricultural land using remote sensing and GIS

Disasters and natural hazards increasingly affect people in the most vulnerable communities in coastal cities, and low-lying areas are especially exposed in the context of increased urbanization, where the urban risk continues to rise. This paper endeavors to establish a Roadmap for Disaster Risk Management Planning for coastal cities based on the United Nations Office for Disaster Risk Reduction Ten Essentials (UNDRR, 2012). We report on local Disaster Risk Management (DRM) practices in a mid-Atlantic capital -the city of Praia, in Cabo Verde. DRM in coastal cities in island states turns out to be an intricate process due to the incorporation of socio-environmental anthropogenic exposure to physical, economic, population, political, and climate vulnerabilities. This paper contributes to the growing knowledge of the institutional framework's role in the facilitation of local adaptation, and design-thinking of urban-development planning processes in coastal cities and low-lying areas, by distinguishing arising opportunities for planned Disaster Risk Reduction (DRR) and Climate Change Adaptation (CCA) in Small Island Developing States (SIDS) and describing a roadmap intended at further advances the discussions for the progress of risk-informed sustainable development pathways in the context of coastal cities. It advocates for the design of adaptative processes understood according to local initiatives, to foresee a possible expression of the growing engagement of different actors in the control and monitoring of risks and vulnerabilities in these areas.

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China’s drought disaster risk management: Perspective of severe droughts in 2009–2010

International Journal of Disaster Risk Science ◽

10.1007/s13753-012-0009-z ◽

2012 ◽

Vol 3 (2) ◽

pp. 84-97 ◽

Cited By ~ 31

Author(s):

Tao Ye ◽

Peijun Shi ◽

Jing’ai Wang ◽

Lianyou Liu ◽

Yida Fan ◽

...

Keyword(s):

Risk Management ◽

Disaster Risk ◽

Disaster Risk Management ◽

Management Perspective ◽

Drought Disaster

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Knowledge apartheid in disaster risk management discourse: Is marrying indigenous and scientific knowledge the missing link?

Jàmbá Journal of Disaster Risk Studies ◽

10.4102/jamba.v7i1.150 ◽

2015 ◽

Vol 7 (1) ◽

Cited By ~ 4

Author(s):

Mukundi Mutasa

Keyword(s):

Risk Management ◽

Scientific Knowledge ◽

Cultural Practices ◽

Smallholder Farmers ◽

Development Planning ◽

Disaster Risk ◽

Disaster Risk Management ◽

Snowball Sampling ◽

Drought Vulnerability ◽

Smallholder Farming

Indigenous knowledge (IK) is a key component of disaster risk management (DRM) and development planning, yet it is often overlooked, with practitioners preferring to use scientific knowledge. Critics of IK have termed it archaic, primitive, a constraint to development and inferior to scientific knowledge, which has contributed to its widespread marginalisation. However, smallholder farmers in rural Zimbabwe have utilised IK for generations, especially in predicting rainfall patterns and managing drought conditions, showing that IK can be a useful tool in DRM. This article presents findings from research on drought vulnerability and coping conducted in Zimbabwe’s Buhera and Chikomba districts in 2009, particularly relating to utilisation of IK in smallholder farming communities, and argues that unless IK is documented and preserved, its marginalisation will persist. The research followed a mixed-methods approach whereby both quantitative and qualitative data were collected and analysed. Whilst smallholder respondents were randomly selected for household surveys, snowball sampling was employed for key informant interviews. Respondents indicated that they utilised some indigenous rainfall pattern predictions gained from observing and interpreting plant and animal behaviour. Some cultural practices that were critical to development and utilisation of certain IK were also threatened with extinction. The article argues for ’marrying’ IK and scientific knowledge, in the hope that the two will offset each other’s weaknesses, resulting in some kind of hybrid knowledge that will be critical for promoting sustainable agricultural production in Zimbabwe. However, this is not for disregard the challenges associated with knowledge hybridisation, as these two types of knowledge are grounded on differing foundations.

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A Framework for Rapid Impact Assessment with special reference to wildfires

Jàmbá Journal of Disaster Risk Studies ◽

10.4102/jamba.v5i2.72 ◽

2013 ◽

Vol 5 (2) ◽

Cited By ~ 1

Author(s):

Isak D. Jansen Van Vuuren

Keyword(s):

Risk Management ◽

Information Systems ◽

Data Acquisition ◽

Impact Assessment ◽

Geographical Information Systems ◽

Agricultural Land ◽

Disaster Risk ◽

Disaster Risk Management ◽

Geographical Information ◽

Specific Reference

Geographical Information Systems (GIS) technology is a powerful tool that can support decision-making in all the facets of disaster risk management. Being at the centre of all disaster risk management functions, GIS activities such as data acquisition, processing, analysis and visualisation should be seamless from planning to prediction, preparation, response and recovery. A case study of devastating wildfires that destroyed thousands of hectares of agricultural land during August 2011 in the North-West province, South Africa, identifies the lack of a comprehensive framework within which information-based disaster impact assessments are undertaken and which is integrated with the larger context of disaster risk management. Problems relating to the availability, quality and integration of data are typical of the ad hoc approach to the implementation of information technologies, indicating the need for an integrated and coordinated approach. The aim of this paper is to establish a framework for rapid impact assessment, with specific reference to geospatial data management. The framework is put into the theoretical context of disaster risk management and information management, with data acquisition and processing functions being anchored in the principles of information systems theory.

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Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review

Remote Sensing ◽

10.3390/rs10111760 ◽

2018 ◽

Vol 10 (11) ◽

pp. 1760 ◽

Cited By ~ 13

Author(s):

Saman Ghaffarian ◽

Norman Kerle ◽

Tatiana Filatova

Keyword(s):

Remote Sensing ◽

Risk Management ◽

Social Services ◽

Urban Areas ◽

Information Needs ◽

Urban Economics ◽

Low Cost ◽

Disaster Risk ◽

Disaster Risk Management ◽

Data Types

Rapid increase in population and growing concentration of capital in urban areas has escalated both the severity and longer-term impact of natural disasters. As a result, Disaster Risk Management (DRM) and reduction have been gaining increasing importance for urban areas. Remote sensing plays a key role in providing information for urban DRM analysis due to its agile data acquisition, synoptic perspective, growing range of data types, and instrument sophistication, as well as low cost. As a consequence numerous methods have been developed to extract information for various phases of DRM analysis. However, given the diverse information needs, only few of the parameters of interest are extracted directly, while the majority have to be elicited indirectly using proxies. This paper provides a comprehensive review of the proxies developed for two risk elements typically associated with pre-disaster situations (vulnerability and resilience), and two post-disaster elements (damage and recovery), while focusing on urban DRM. The proxies were reviewed in the context of four main environments and their corresponding sub-categories: built-up (buildings, transport, and others), economic (macro, regional and urban economics, and logistics), social (services and infrastructures, and socio-economic status), and natural. All environments and the corresponding proxies are discussed and analyzed in terms of their reliability and sufficiency in comprehensively addressing the selected DRM assessments. We highlight strength and identify gaps and limitations in current proxies, including inconsistencies in terminology for indirect measurements. We present a systematic overview for each group of the reviewed proxies that could simplify cross-fertilization across different DRM domains and may assist the further development of methods. While systemizing examples from the wider remote sensing domain and insights from social and economic sciences, we suggest a direction for developing new proxies, also potentially suitable for capturing functional recovery.

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Disaster Risk Management and Reconstruction in Latin America

10.3362/9781780446721 ◽

2014 ◽

Author(s):

Bárbara Montoro ◽

Pedro Ferradas ◽

Miguel Muñoz ◽

Douglas Azabache ◽

Orlando Chuquisengo ◽

...

Keyword(s):

Risk Management ◽

Latin America ◽

Disaster Risk ◽

Disaster Risk Management

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