A methodology to assess environmental vulnerability in a coastal city: Application to Jakarta, Indonesia
Introduction
Management of environmental vulnerability is prerequisite to global sustainable development. For this reason, many international agencies have conducted assessments that compare national environmental vulnerabilities on a global scale, and used the results of these assessments as standards for setting their institutional priorities. For example, the South Pacific Applied Geoscience Commission (SOPAC) and the United Nations Environment Programme (UNEP) have developed the Environmental Vulnerability Index (EVI), which compiles 50 different indicators regarding weather and climate, geology, geography, ecosystem resources, and human populations and composites them into a single index (Kaly et al., 2004). This kind of composite index is a relatively simple way to combine various aspects of vulnerabilities for consideration. The concept of environmental vulnerability typically incorporates both biophysical and socioeconomic factors (Kaly et al., 2004, Adger, 2006). Data on biophysical aspects mainly relate to risk of hazards, climate, geology, and geography, whereas socioeconomic aspects include the system's inherent resistance to damage and acquired adaptive capacity (Kaly et al., 2004, Adger, 2006).
Assessment of environmental vulnerabilities on a global scale is important because the results of such assessment provide criteria that can be used to distribute international funds, for example. In addition, vulnerability assessment on the local scale is also very useful because the results can serve as the basis for local environmental measures. However, the same methodologies used to assess vulnerability on the global scale cannot be directly applied to the local scale because they tend to mask heterogeneous impacts and risks imposed on the local scale by averaging them out (Adger et al., 2004; Vincent, 2007). Birkmann (2007) also pointed out that the key indicators of vulnerability could vary with spatial scale. For these reasons, we need a different methodology to assess local environmental vulnerability, but despite this need, local environmental vulnerabilities have been widely evaluated simply based on historical records of natural disasters or pollution. Hong and Hwang (2006) used damage costs from flooding as a proxy for comparing local vulnerabilities in 16 districts of South Korea, retrieving damage costs from the statistical data in national disaster records in the period 1970–2004. Firman et al. (2011) summarized potential climate change vulnerabilities in five districts of Jakarta, also by using recorded data from natural disasters, including floods; sea level rise; tornado activity; landslides; and water, air, and noise pollution. Although the results of these assessments could be utilized in identifying higher-priority districts, they could not have provided concrete information for setting local environmental policy measures.
In this sense, there is a need to develop a new methodology to assess local environmental vulnerability, including considerations beyond just risk of hazards or damage from disaster. To be useful in informing the development of environmental measures, such a new method should consider specific local conditions. In this study, we introduced a new framework for the assessment of environmental vulnerability on a local scale by integrating a geographical information system (GIS), local statistics, and a survey. The ultimate objective of this work is to find a new methodology to assess local vulnerabilities that includes consideration of site-specific characteristics. Another goal is to develop a new tool based on the Jakarta assessment to aid local policy makers in assessing local conditions and developing appropriate environmental measures based on the results.
Section snippets
Characterization of the study area
Indonesia, a country of 17,000 islands that has the second longest coastline in the world, is endowed with abundant natural resources and biodiversity. Recently, the country has shown the potential to become a powerhouse in Asia by taking a leading role in the international arena. However, the country is faced with many environmental problems in its coastal zones due to numerous stresses that were brought about by rapid and unplanned or poorly planned industrial and economic development.
Environmental exposure
Table 2 summarizes the standardized values of the proxy variables for environmental exposure and gives the single-value of environmental exposure index for each district. According to the historical records of inundation in Jakarta, East Jakarta had the greatest number of localities where inundation occurred from 2005 to 2008. The projected areas of flooding due to sea level rises of 1, 2, 3, 4, and 5 m are summarized in Fig. 2. Flooding from sea level rise would influence the North Jakarta
Conclusion
This study suggests a practical methodology for assessment of environmental vulnerability that incorporates specific local conditions. Our conceptual framework of environmental vulnerability integrated environmental exposure and sensitivity with adaptive capacity, which included considerations of both biophysical and socioeconomic aspects.
Contextualization, which is defined as the ability “to adjust indicator and index to the specific socioeconomic context they are applied to and to the
Acknowledgment
This research is supported by a grant from Kyung Hee University Research Fund in 2012 (KHU-20120571).
References (34)
Vulnerability
Glob. Environ. change
(2006)Mangrove forests: resilience, protection from tsunamis, and responses to global climate change
Estuar. Coast. Shelf Sci.
(2008)Risk and vulnerability indicators at different scales: applicability, usefulness and policy implications
Environ. Hazards
(2007)- et al.
The determinants of vulnerability and adaptive capacity at the national level and the implications for adaptation
Glob. Environ. Change
(2005) - et al.
Mangrove forest resources in Indonesia
For. Ecol. Manag.
(1990) - et al.
Potential climate-change related vulnerabilities in Jakarta: challenges and current status
Habitat Int.
(2011) - et al.
Environmental drivers in mangrove establishment and early development: a review
Aquat. Bot.
(2008) A modified human development index
World Dev.
(1998)Uncertainty in adaptive capacity and the importance of scale
Glob. Environ. Change
(2007)- et al.
New Indicators of Vulnerability and Adaptive Capacity
(2004)
Prioritizing Countries for Biofortification Interventions Using Country-level Data
Evaluating the relative environmental impact of countries
PLoS One
Environment Statistics of Indonesia 2009
Global Forest Resources Assessment 2000: Main Report
Mangrove forest distributions and dynamics (1975–2005) of the tsunami-affected region of Asia
J. Biogeogr.
Study on the Impact of Sea Level Rise and its Economic Valuation in Coastal Zone of Jakarta Bay. Osaka Gas Foundation of International Cultural Exchange Research Grand Report
Vulnerability to natural hazards in population-environmental studies
Cited by (45)
Advancing the community health vulnerability index for wildland fire smoke exposure
2024, Science of the Total EnvironmentCoastal vulnerability assessment for the megacity of Jakarta, Indonesia under enhanced sea-level rise and land subsidence
2023, Climate Change, Community Response and Resilience: Insight for Socio-Ecological SustainabilityMulti-temporal analysis of land use land cover interference in environmental fragility in a Mesozoic basin, southeastern Brazil
2021, Groundwater for Sustainable DevelopmentSpatial distance-based integrated evaluation of environmentally sensitivity for ecological management in northwest China
2020, Ecological IndicatorsCitation Excerpt :It is defined as the adaptability of environmental to the external pressure or external interference under the premise of no loss or reduction eco-environmental quality (Zhang et al., 2010; Nazren et al., 2016). Environmental sensitivity is an analysis of the sensitivity of regional eco-environment to human activities and the resilience of the system (Zhang et al., 2010; Yoo et al., 2014). Generally, the higher the sensitivity of the receiving environment or environmental receptor, the less resilient it is (i.e. the less capable to cope with human and climate induced change) (González and Ainhoa, 2017).
The generation of new tsunami risk areas due to an intentionally biased reconstruction process: Case study of llico after the 2010 Chile tsunami
2020, International Journal of Disaster Risk ReductionCitation Excerpt :Regarding methodology, various models have been proposed to analyze vulnerability and its integration into risk, notable examples of which are the Social Vulnerability Index SoVI® [45,48,49] and use of the analytical hierarchical process (AHP)-based approach to coastal vulnerability studies as an improvement on the existing methodologies for vulnerability assessment [50]. In the case of coastal vulnerability indices, for example, biophysical aspects linked to hazards resulting from climate change scenarios are integrated into vulnerability [50–52]. Other models integrate exposure, sensitivity and response capacity factors, in line with the ideas of Adger [39] and Gallopin [46] on the relationships between vulnerability, resilience and adaptive capacity.