• Title/Summary/Keyword: 공업지역

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91년 지가동향

  • 한국주택협회
    • 주택과사람들
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    • no.5 s.22
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    • pp.72-85
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    • 1992
  • [ $\bullet$ ] ''91 년간 전국평균지가상승률은 $12.78{\%}$로서 전년대비 $7.8{\%}$포인트 감소. $\bullet$ 서울의 지가상승은 $11.15{\%}$로서 ''90년의 $31.18{\%}$보다 무려 $20.03{\%}$ 포인트 감소하여 전국의 지가안정을 주도하고 있음. ${\cdot}$ 지역별로는 6대도시 : $13.57{\%}$, 중소도시 : $13.69{\%}$, 군지역 : $10.19{\%}$. ${\cdot}$ 용도지역별로는 주거지역 : $13.57{\%}$, 상업지역 : $12.22{\%}$, 공업지역 : $15.96{\%}$, 녹지지역 : $13.80{\%}$, 비도시지역 : $9.42{\%}$. $\bullet$ 특이사항으로는 ${\cdot}$ ''91. 4/4분기중 지가가 하락한 지역이 29개 시${\cdot}$${\cdot}$구로서 이중에서 중요한 지역을 보면 서울 중구($-2.92{\%}$), 용산구($-2.02{\%}$), 강남구($-1.94{\%}$), 대구 수성구($-3.11{\%}$), 대전의 유성구($-3.18{\%}$), 충남 태안군($-3.83{\%}$), 전남 순천시($-2.36{\%}$)), 나주군($-2.42{\%}$등이며, ${\cdot}$ 대전($23.25{\%}$) 및 인천($22.81{\%}$) 지역은 년간 $20{\%}$를 상회하고 있으나 이들 지역에서도 ''91 4/4분기에는 크게 둔화되고 있음. $\bullet$ 전반적으로 ''87년 수준의 지가안정세를 보이고 있으며 분기별 상승률은 ''87. 4/4분기 이래 최소치를 시현하고 있음.

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국내외 정보

  • Korea Electrical Manufacturers Association
    • NEWSLETTER 전기공업
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    • no.95-21 s.142
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    • pp.19-49
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    • 1995
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Determination of the number of storm events monitoring considering urban stormwater runoff characteristics (도시지역의 강우유출수 특성 분석을 통한 적정모니터링 횟수 도출)

  • Choi, Jiyeon;Na, Eunhye;Kim, Hongtae;Kim, Jinsun;Kim, Yongseck;Lee, Jaekwan
    • Journal of Wetlands Research
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    • v.19 no.4
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    • pp.515-522
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    • 2017
  • This study investigated the runoff characteristics containing NPS pollutants in urban areas and estimated the optimal number of storm events to be monitored. 13 residential areas, 8 commercial areas, 9 transportation areas and 11 industrial areas were selected to be monitored located in urban areas. Monitoring was performed from 2008 to 2016 with a total of 632 rainfall events. As a result, it was found that commercial area needs priority NPS management compared to other landuses because the commercial area has high runoff coefficient and NPS pollutant EMC compared with other landuses. The annual monitoring frequency for each landuse was estimated to be 11 to 14 times for industrial area, 12 to 14 times for transportation area, 11 to 13 times for commercial area and 22 to 25 times for residential area. Even with the use of accumulated monitoring data for several years, there is still high probability of uncertainty due to high error in some pollutant items, and it is necessary to establish monitoring know-how and data accumulation to reduce errors by continuous monitoring.

Effect of Population Change on Waste Emission: The Case of Busan City (인구변화가 쓰레기배출량에 미치는 영향 -부산시를 사례로-)

  • Seong, Sin-Je;Lee, Hee-Yul
    • Journal of the Korean association of regional geographers
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    • v.11 no.6
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    • pp.559-570
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    • 2005
  • The purpose of this paper is to estimate the effect of population change on waste emission in the case of Busan City. The results are as follows : First, population and waste emission in Busan City Show decreasing pattern since 1995. According to increase or decrease of population and waste emission, The 16 Gus in Busan City are categorited into 5 types. Comparing the difference of population and waste emission between 1995 and 2003, we find out a similar trend by 16 Gus in Busan City. Second, the waste emission shows the positive relation with the number of population and the land by use. But there exists multicollinearity between population and the land by use, and the population is considered the main factor of waste emission. Third, the population causes 92% or more of the waste emission in Busan City, and future researches are required for the additional causes of waste generation.

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Roles of Regional Innovation Agencies and their Performance in Dortmund, Germany (지역혁신 지원기관의 역할과 성과: 독일 도르트문트시를 사례로)

  • Shin, Dong-Ho
    • Journal of the Economic Geographical Society of Korea
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    • v.21 no.4
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    • pp.409-424
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    • 2018
  • Since the 1950s, many of the traditional industrial cities of advanced economies in Europe and North America were affected by a series of de-industrialization. The de-industrialization process, characterized by company shut-downs and massive lay-offs, has resulted in high unemployment rates and massive redundancies in physical infrastructure. Since the 1980s, many of the old industrial cities have attempted to overcome such problems. However, it has been found that not many of the cities are found to be successful. The City of Dortmund, one of the core cities of the large German industrial conurbation of the past, the Ruhr, is found to be an exceptional case demonstrating a clear success in overcoming deindustrialization problems. The City in fact strategically pursued transforming backbone of its economy from steel-making, coal-mining and beer-brewery to high-technology and future-oriented industries, based on microsystems, biomedical, electronic logistics and information technology. This paper attempts to analyse the processes and outcomes of transforming Dortmund beginning from the 1980s to articulate the roles of the agencies contributing to the success.