• Title/Summary/Keyword: Climate crisis Adaptation Measures

Search Result 3, Processing Time 0.018 seconds

A study on adaptation measures to climate crisis for water supply system of Jeju Special Self-Governing Province (제주특별자치도 상수도 기후위기 적응대책 연구)

  • Jinkeun Kim
    • Journal of Korean Society of Water and Wastewater
    • /
    • v.37 no.6
    • /
    • pp.447-456
    • /
    • 2023
  • Risk assessment on Jeju Special Self-Governing Province(JSSGP)'s water supply facilities and establishment of adaptation measures for climate crisis factors were implemented. JSSGP's vulnerability to the climate crisis was high in the order of drought, heat wave, heavy rain and strong wind. As a drought adaptation measure, policies of water saving and revenue water ratio improvement were considered. As for the heat wave adaptation measure, the introduction of an advanced water treatment process was suggested in response to the increase of algae cell number which resulting in taste and odor problem. As for heavy rain adaptation measures, the installation and operation of automatic coagulant injection devices for water purification plants that take turbid surface water were proposed. As a measure to adapt to strong winds, stabilization of power supply such as installation of dual power line was proposed in preparation for power outages. It is expected that water facilities will be able to supply high-quality tap water to customers even under extreme climate conditions without interruption through risk assessment for climate crisis factors and active implementation of adaptation measures.

A study on the risk assessment of climate crisis adaptation measures in public sewage treatment facilities (공공하수처리시설의 기후위기 적응대책 위험도 평가 연구)

  • Jaekyung Choi;Younsun Lee;Sunghwan Hwang
    • Journal of Korean Society of Water and Wastewater
    • /
    • v.38 no.2
    • /
    • pp.61-68
    • /
    • 2024
  • In the context of the Ministry of Environment's 2022 Climate Change Adaptation Plan for Public Institutions, public sewage treatment plants are one of the important targets for climate change response aimed at sustainable water management. In this study, it is applied a modified methodology to four water regeneration centers (public sewage treatment facilities) in charge of sewage treatment in Seoul to analyze the impacts and risks of climate change and discuss priorities for adaptation measures. The results of the study showed that heavy rains, heat waves, and droughts will be the key impacts of climate change, and highlighted the need for measures to mitigate these risks, especially for facility managers.

Development of a Model for Analylzing and Evaluating the Suitability of Locations for Cooling Center Considering Local Characteristics (지역 특성을 고려한 무더위쉼터의 입지특성 분석 및 평가 모델 개발)

  • Jieun Ryu;Chanjong Bu;Kyungil Lee;Kyeong Doo Cho
    • Journal of Environmental Impact Assessment
    • /
    • v.33 no.4
    • /
    • pp.143-154
    • /
    • 2024
  • Heat waves caused by climate change are rapidly increasing health damage to vulnerable groups, and to prevent this, the national, regional, and local governments are establishing climate crisis adaptation policy. A representative climate crisis adaptation policy to reduce heat wave damage is to expand the number of cooling centers. Because it is highly effective in a short period of time, most metropolitan local governments, except Jeonbuk, include the project as an adaptation policy. However, the criteria for selecting a cooling centers are different depending on the budget and non-budget, so the utilization rate and effectiveness of the cooling centers are all different. Therefore, in this study, we developed logistic regression models that can predict and evaluate areas with a high probability of expanding cooling centers in order to implement adaptation policy in local governments. In Incheon Metropolitan City, which consists of various heat wave-vulnerable environments due to the coexistence of the old city and the new city, a logistic model was developed to predict areas where heat waves can be cooling centered by dividing it into Ganghwa·Ongjin-gun and other regions, taking into account socioeconomic and environmental differences. As a result of the study, the statistical model for the Ganghwa·Ogjin-gun region showed that the higher the ground surface temperature and the more and more the number of elderly people over 65 years old, the higher the possibility of location of cooling centers, and the prediction accuracy was about 80.93%. The developed logistic regression model can predict and evaluate areas with a high potential as cooling centers by considering regional environmental and social characteristics, and is expected to be used for priority selection and management when designating additional cooling centers in the future.