• Title/Summary/Keyword: Urban Climate Change

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Prediction of Heating and Cooling Energy Consumption in Residential Sector Considering Climate Change and Socio-Economic (기후변화와 사회·경제적 요소를 고려한 가정 부문 냉난방 에너지 사용량 변화 예측)

  • Lee, Mi-Jin;Lee, Dong-Kun;Park, Chan;Park, Jin-Han;Jung, Tae-Yong;Kim, Sang-Kyun;Hong, Sung-Chul
    • Journal of Environmental Impact Assessment
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    • v.24 no.5
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    • pp.487-498
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    • 2015
  • The energy problem has occurred because of the effects of rising temperature and growing population and GDP. Prediction for the energy demand is required to respond these problems. Therefore, this study will predict heating and cooling energy consumption in residential sector to be helpful in energy demand management, particularly heating and cooling energy demand management. The AIM/end-use model was used to estimate energy consumption, and service demand was needed in the AIM/end-use model. Service demand was estimated on the basis of formula, and energy consumption was estimated using the AIM/end-use model. As a result, heating and cooling service demand tended to increase in 2050. But in energy consumption, heating decreased and cooling increased.

Remote Sensing-assisted Disaster Monitoring and Risk Analysis (원격탐사를 활용한 연속적 재난상황 인지 및 위험 모니터링 기술)

  • Im, Jungho;Sohn, Hong-Gyoo;Kim, Duk-jin;Choi, Jinmu
    • Korean Journal of Remote Sensing
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    • v.36 no.5_3
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    • pp.1007-1011
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    • 2020
  • Recently, natural and anthropogenic disasters have rapidly increased due to the on-going climate change and various human activities. Remote sensing (RS) technology enables the continuous monitoring and rapid detection of disastrous events thanks to its advantages covering vast areas at high temporal resolution. Moreover, RS technology has been very actively used in disaster monitoring and assessment since cluster- and micro-satellites and drones were introduced and became popular. In this special issue, nine papers were introduced, including the processing and applications of remote sensing data for monitoring, assessment, and prediction of various natural disasters. These papers are expected to serve as useful references for disaster management in the future.

Analysis of Rainfall-Runoff Characteristics on Impervious Cover Changes using SWMM in an Urbanized Watershed (SWMM을 이용한 도시화유역 불투수율 변화에 따른 강우유출특성 분석)

  • Oh, Dong Geun;Chung, Se Woong;Ryu, In Gu;Kang, Moon Seong
    • Journal of Korean Society on Water Environment
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    • v.26 no.1
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    • pp.61-70
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    • 2010
  • The increase of impervious cover (IC) in a watershed is known as an important factor causing alteration of water cycle, deterioration of water quality and biological communities of urban streams. The study objective was to assess the impact of IC changes on the surface runoff characteristics of Kap Stream basin located in Geum river basin (Korea) using the Storm Water Management Model (SWMM). SWMM was calibrated and verified using the flow data observed at outlet of the watershed with 8 days interval in 2007 and 2008. According to the analysis of Landsat satellite imagery data every 5 years from 1975 to 2000, the IC of the watershed has linearly increased from 4.9% to 10.5% during last 25 years. The validated model was applied to simulate the runoff flow rates from the watershed with different IC rates every five years using the climate forcing data of 2007 and 2008. The simulation results indicated that the increase of IC area in the watershed has resulted in the increase of peak runoff and reduction of travel time during flood events. The flood flow ($Q_{95}$) and normal flow ($Q_{180}$) rates of Kap Stream increased with the IC rate. However, the low flow ($Q_{275}$) and drought flow ($Q_{355}$) rates showed no significant difference. Thus the subsurface flow simulation algorithm of the model needs to be revisited for better assessment of the impact of impervious cover on the long-term runoff process.

Urbanization Effect on the Observed Warming in Korea during the Recent Half Century (우리나라의 기온상승-도시효과인가 지구온난화인가)

  • 윤진일
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.4 no.1
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    • pp.58-63
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    • 2002
  • Since the rapid urbanization period coincides with the start of global warming, climate data might be contaminated with urbanization effect in Korea. Monthly normals of daily minimum, maximum, and mean temperature of 14 stations were calculated for 1951-1980 and 1971-2000 periods. Differences in two temperature normals were regressed to the natural logarithms of population increase at corresponding 14 cities from 1966 to 1990. The regression models were used to remove potential effects of urbanization from the apparent warming, and to determine the net contribution of global warming to the temperature change in Korea during the recent half century. According to the model calculation, there was little evidence of global warming in the warm season (May through November), while urbanization effect was common in all season except April. Up to 0.5$^{\circ}C$ warming of nighttime temperature was found to be induced by urbanization. Cool season temperature was increased by up to 0.6$^{\circ}C$ due mainly to the global warming of daytime temperature.

The Study on Local Government's Disaster Safety Governance using Big Data (빅데이터를 활용한 지방정부 재난안전 거버넌스 -서울시를 중심으로-)

  • Kim, Young-mi
    • Journal of Digital Convergence
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    • v.15 no.1
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    • pp.61-67
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    • 2017
  • In order to establish and operate a rapid and effective disaster safety management system in an emergency situation that threatens the safety of citizens, such as disaster, accident or terrorism, appropriate responses are necessary. An integrated task execution system for rapid response and restoration should be implemented not only by the central ministries related to disaster management and response, but also by local governments, NGO, and individuals, under clear role sharing. In the case of Seoul city, it is urgent to establish an effective disaster management system for preventing and responding to disasters, because of the increasing possibility of natural disasters due to climate change, the threat of terrorism, urban decay and the industrial accidents. From the perspective of governance, this study tried to seek out countermeasures such as disaster response system and command system at disaster site centering on Seoul city government interdepartmental organization system, implementation process and systematization of response procedures.

Corporate Social Responsibility and the Pricing of Seasoned Equity Offerings: Does Executive Firm-Related Wealth Matter?

  • PHAM, Hong Chuong;NGO, Duc Anh;LE, Ha Thanh;NGUYEN, Thiet Thanh
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.8
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    • pp.297-308
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    • 2020
  • This study exemines the roles of corporate social activity (CSR) and executive compensation structure on the pricing of seasoned equity offerings (SEOs) with special focus on the role of CSR in reducing the level of information asymmetry between managers and future shareholders of issuing firms through SEOs. This study also investigates the interaction between executive compensation structure and CSR on the discounting of SEOs. We use a sample of 2,102 seasoned equity offerings of U.S. firms with CSR scores from 1995 to 2015 in our OLS fixed effect regression analysis. The results show that issuing firms with high CSR are more likely to expericence a lower degree of the SEO discount. The results also document a positive association between CSR and a high proportion of equity-based compensation of issuing firms' executives. The findings of this paper confirm that CSR attenuates the impact of information asymmetry and the pre-SEO price uncertainty on the pricing of the offers and hence the SEO discount. Furthermore, CSR reinforces the impact of executive firm-related wealth on the discounting of seasoned equity offerings. It appears that firm-related wealth motivates managers to actively engage in reducing information asymmetry activities before SEOs, thereby decreasing the SEO discount.

A Study on the Air Temperature Changes and Regional Characteristics in South Korea (우리나라 지역별 기온변화 특성)

  • Kim, Tae Ryong
    • Journal of Integrative Natural Science
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    • v.2 no.2
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    • pp.131-167
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    • 2009
  • Global warming is regarded as one of the most critical issues that should be taken care of by the entire global community as it threatens the survival of mankind. South Korea, in particular, undergoes faster warming than the average rate of global warming. South Korea has revealed various warming rates and trends being surrounded by sea on three sides and having complex terrains dominated by mountains. The rates vary according to regions and their urbanization and industrialization. Differences also derive from seasons and weather elements. Changes to the highest, mean, and lowest temperature are also different according to the characteristics of regions and observatories, which is more apparent where the force of artificial weather applies. In an urban area, temperature gaps tend to decrease as the lowest temperature rises more than the highest temperature. Meanwhile, temperature gaps grow further in a coastal or country region where the force of artificial weather is small and the force of natural weather prevails. In this study, the investigator analyzed the changes to the weather elements of 11 observation spots that had gone through no changes in terms of observation environment since 1961, were consecutively observed, and had the quality of their observation data monitored on an ongoing basis. Using the results, I tried to identify natural and artificial causes affecting certain spots. Located on the east coast of the Asian Continent, South Korea sees weather changing very dynamically. Having huge influences on our weather, China has achieved very rapid industrialization for the last 30 years and produced more and more greenhouse gases and air pollution due to large-size development projects. All those phenomena affect our weather system in significant ways. Global warming continues due to various reasons with regional change differences. Thus the analysis results of the study will hopefully serve as basic data of weather statistics with which to set up countermeasures against climate changes.

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Selection of concrete lining corrosion protection method for large sewer tunnels (하수터널의 콘크리트 라이닝 부식 방지공법 선정방법에 관한 고찰)

  • Moon, Joon-Shik;Lee, Sungjune
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.16 no.4
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    • pp.347-360
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    • 2014
  • Recently construction of large sewer tunnels used also as underground sluiceways/storages is increasing in order to prevent urban inundation, untreated sewage flow into rivers from combined sewer overflows and consequential river pollution due to climate change. Most of these large sewer tunnels are constructed with concrete and the concrete lining should be protected from corrosion caused by hydrogen sulfide($H_2S$). This paper introduced popular concrete corrosion protection methods for large sewer tunnels with 100-plus years of life cycle, and pros and cons of each corrosion protection methods were described by giving specific examples. However, it is difficult to objectively assess corrosion protection alternatives because of insufficient track record of corrosion protection methods applied to large sewer tunnels. In this paper, the evaluation process for selecting a corrosion protection alternative was introduced for large sewer tunnels using a case study.

Ground surface changes detection using interferometric synthetic aperture radar

  • Foong, Loke Kok;Jamali, Ali;Lyu, Zongjie
    • Smart Structures and Systems
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    • v.26 no.3
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    • pp.277-290
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    • 2020
  • Disasters, including earthquakes and landslides, have enormous economic and social losses besides their impact on environmental disruption. Iran, and particularly its Western part, is known as an earthquake susceptible area due to numerous strong ground motions. Studying ecological changes due to climate change can improve the public and expert sector's awareness and response to future disastrous events. Synthetic Aperture Radar (SAR) data and Interferometric Synthetic Aperture Radar (InSAR) technologies are appropriate tools for modeling and surface deformation modeling. This paper proposes an efficient approach to detect ground deformation changes using Sentinel-1A. The focal point of this research is to map the ground surface deformation modeling is presented using InSAR technology over Sarpol-e Zahab on 25th November 2018 as a study case. For surface deformation modeling and detection of the ground movement due to earthquake SARPROZ in MATLAB programming language is used and discussed. Results show that there is a general ground movement due to the Sarpol-e Zahab earthquake between -7 millimeter to +18 millimeter in the study area. This research verified previous researches on the advanced image analysis techniques employed for mapping ground movement, where InSAR provides a reliable tool for assisting engineers and the decision-maker in choosing proper policies in a time of disasters. Based on the result, 574 out of 682 damaged buildings and infrastructures due to the 2017 Sarpol-e Zahab earthquake have moved from -2 to +17 mm due to the 2018 earthquake with a magnitude of 6.3 Richter. Results show that mountainous areas have suffered land subsidence, where urban areas had land uplift.

Thermal and Electrical Energy Mix Optimization(EMO) Method for Real Large-scaled Residential Town Plan

  • Kang, Cha-Nyeong;Cho, Soo-Hwan
    • Journal of Electrical Engineering and Technology
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    • v.13 no.1
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    • pp.513-520
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    • 2018
  • Since Paris Climate Change Conference in 2015, many policies to reduce the emission of greenhouse gas have been accelerating, which are mainly related to renewable energy resources and micro-grid. Presently, the technology development and demonstration projects are mostly focused on diversifying the power resources by adding wind turbine, photo-voltaic and battery storage system in the island-type small micro-grid. It is expected that the large-scaled micro-grid projects based on the regional district and town/complex city, e.g. the block type micro-grid project in Daegu national industrial complex will proceed in the near future. In this case, the economic cost or the carbon emission can be optimized by the efficient operation of energy mix and the appropriate construction of electric and heat supplying facilities such as cogeneration, renewable energy resources, BESS, thermal storage and the existing heat and electricity supplying networks. However, when planning a large residential town or city, the concrete plan of the energy infrastructure has not been established until the construction plan stage and provided by the individual energy suppliers of water, heat, electricity and gas. So, it is difficult to build the efficient energy portfolio considering the characteristics of town or city. This paper introduces an energy mix optimization(EMO) method to determine the optimal capacity of thermal and electric resources which can be applied in the design stage of the real large-scaled residential town or city, and examines the feasibility of the proposed method by applying the real heat and electricity demand data of large-scale residential towns with thousands of households and by comparing the result of HOMER simulation developed by National Renewable Energy Laboratory(NREL).