• Title/Summary/Keyword: 인천광역시

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A Safety Survey for Residual Pesticides in Agricultural Products in Meal-kits (밀키트(가정간편식) 중 농산물의 잔류농약 안전성 조사)

  • Sung-min Song;Yoo Jung Sun;Hyun-Jung Seo;Hyun Ho Han;Ga Hye Lee;Jung-Im Kim;Meyong-Hee Kim;Myung-Je Heo;Mun-Ju Kwon
    • Journal of Food Hygiene and Safety
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    • v.38 no.6
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    • pp.457-463
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    • 2023
  • To investigate residual pesticide levels in agricultural products contained in Meal-kits, 27 Meal-kit products were collected from marts, Meal-kit shops, and online stores in Incheon City, South Korea. Seventy-six vegetable and thirty-seven mushroom products were analyzed for residual levels of 339 pesticides. Residual pesticides were detected in 23 out of 76 vegetables and were not present in the 37 mushroom products. The residual pesticide detection rate was 20.4% (23/113 cases). The pesticides famoxadone 0.034 mg/kg (standard: 0.01 mg/kg or less, PLS) and fenpyroximate 0.302 mg/kg (standard: 0.01 mg/kg or less, PLS) exceeded their maximum residue levels (MRL). This survey revealed that various types of pesticides remain in agricultural products in Meal-kits. Due to the nature of Meal-kit products, there is no separate standard for residual pesticides in agricultural products. Therefore, continuous monitoring of residual pesticides is necessary.

A Study on the Effect of urban characteristics on Regional population using Spatial Econometrics Analysis - Focused on Incheon Metropolitan City - (공간계량분석을 이용한 도시특성요인이 지역 인구에 미치는 영향에 관한 연구 - 인천광역시를 중심으로 -)

  • Kim, Byung-Suk;Lee, DongSung;Son, Dong-Geul
    • Journal of the Korean Regional Science Association
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    • v.33 no.3
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    • pp.21-30
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    • 2017
  • The purpose of this study is to analyze the effect of urban characteristics on regional population and to suggest policy implications based on the analysis results. For this purpose, this study used spatial econometrics analysis(SAR, SEM, SAC) using data on 122 eup-myon-dong areas in Incheon Metropolitan City. As a result of the analysis, First, in terms of spatial, population density showed positive (+) effect while employment density has negative (-) effect. Also, the increase in the number of tertiary industries and workers in the industry has a positive (+) effect. Second, in terms of housing, the apartment ratio showed positive (+) effect and the increase of low-rise deteriorated housing has negative (-) effect. Third, the increase in educational facilities and urban parks showed positive (+) effect on population. In conclusion several policy implications for urban management found through this analysis are discussed.

Monitoring of Pesticide Residues on Herbs and Spices in the Incheon Metropolitan Area (인천 지역에 유통 중인 향신식물 및 향신료가공품 잔류농약 안전성 조사)

  • Yeo, Eun-young;Jung, Seung-Hye;Jang, Jin-Seob;Kwon, Sung-Hee;Park, Byung-Kyu;Lee, Soo-Yeon;Park, Jeong-Eun;Seo, Soon-Jae;Kim, Jung-Im;Kim, Meyong-Hee;Joo, Kwang-Sig;Hur, Myung-Je
    • Journal of Food Hygiene and Safety
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    • v.36 no.1
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    • pp.60-67
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    • 2021
  • In this study we investigated pesticide residues on herbs and spices disrtibuted in the Incheon Metropolitan area. A total of 112 samples were purchased from off-line and on-line markets from January to October 2020. In accordance with the implementation of the Positive List System (PLS), the proper usage of pesticides is now being enforced. It is assumed that unregistered pesticides are being used on herbs and spices due to the low number of registered pesticides in the agricultural industry. Pesticide residue levels were not detected in 99 samples but 11 kinds of pesticides in 6 samples (13 times) exceeded the MRLs. The pesticides that were used in accordance with the PLS were Diazinon, Diethofencarb and Pyridalyl. However, unregistered pesticides were on the herbs and spices. Therefore, it is necessary to educate producers of herbs and spices on the appropriate use of pesticides. It is also necessary to establish MRLs on herbs and spices.

A Safety Survey of Pesticide Residues on Agricultural Products Marketed in Incheon from 2019 to 2021 (인천광역시 유통 농산물의 잔류농약 안전성 조사)

  • Park, Byung-Kyu;Kwon, Sung-Hee;Yeom, Mi-Sook;Han, Se-Youn;Kang, Min-Jung;Joo, Kwang-Sig;Heo, Myung-Je;Kwon, Mun-Ju
    • Journal of Food Hygiene and Safety
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    • v.37 no.4
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    • pp.249-259
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    • 2022
  • This study investigated pesticide residues in 7,069 agricultural products distributed in the city of Incheon from 2019 to 2021. Ingestion of pesticides can cause serious carcinogenic, endocrine, neurological, and reproductive problems. Pesticide residues in the samples were analyzed using various multi-residue methods (GC-MS/MS, GC-ECD/NPD, LC-MS/MS, and HPLC-UVD) on the Korean Food Code. The violation rate of the samples exceeding the maximum residue level (MRL) of pesticide residues for the years 2019, 2020, and 2021 was 1.0%, 1.4%, and 1.1%, respectively. Diazinon, flubendiamide, procymidone, fluxametamide, and fluquinconazole were the most frequently reported violative pesticide residues. Most commonly encountered agricultural products exceeding MRLs were coriander leaves, chamnamul, chwinamul, welsh onion, and crown daisy. Agricultural products and pesticides frequently exceeding MRLs should be continuously inspected for food safety. Continuous monitoring of pesticide residues in agricultural products is indispensable to improve consumer safety by preventing the distribution of agricultural products exceeding MRLs.

Monitoring and risk assessment of pesticide residues in school foodservice agricultural products in Incheon (인천광역시 학교급식 농산물의 잔류농약 실태조사 및 위해성 평가)

  • Park, Byung-Kyu;Kwon, Sung-Hee;Yeom, Mi-Sook;Han, Se-Youn;Kang, Min-Jung;Seo, Soon-Jae;Joo, Kwang-Sig;Heo, Myung-Je
    • Korean Journal of Food Science and Technology
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    • v.53 no.4
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    • pp.470-478
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    • 2021
  • This study was conducted to monitor residual pesticides in a total of 527 school foodservice agricultural products from 2019 to 2020 in Incheon. Pesticide residues in the samples were analyzed by the multi-residue method in the Korean food code for 373 pesticides using GC-MS/MS, LC-MS/MS, GC-ECD, GC-NPD, and HPLC-UVD. By monitoring the pesticides, 12 (2.3%) of the 527 pesticides were detected, and 2 (0.4%) samples exceeded the maximum residue limit. Twelve types of pesticides were detected in the agricultural products of carrot, chard, chili pepper, chwinamul, crown daisy, parsley, perilla leaves, and spinach. As a means of risk assessment through the consumption of agricultural products detected with pesticide residues, the proportion of estimated daily intake to acceptable daily intake was estimated in the range of 0.0000-39.7425%. Results showed no particular health risk through the consumption of school foodservice agricultural products with pesticide residues.

Analysis the Relationship between Precipitation and Construction Disaster (강수특성과 건설 산업 재해와의 연관성 분석)

  • Jeon, Ha-Cheol;Kim, Gwang-Seob
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.459-459
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    • 2012
  • 본 연구에서는 우리나라의 건설현장에서 발생하는 안전사고 발생 특성과 강수특성 변화의 연관성을 분석하였다. 대상기간 2000년부터 2010년까지 지역별 건설 산업현장에서의 사고발생 건수(한국산업안전보건공단) 자료와 같은 시기 지역별 강수량 자료(기상청 지상관측지점)를 사용하여 강수량의 거동과 건설현장 사고발생 건수의 거동 사이의 상관성을 분석하였다. 건설현장 사고사례의 사고형태 중 부상자와 사망자 정보를 사용하였으며 지역의 구분은 특별시, 광역시 및 도 단위로 구분하여 분석하였다. 분석결과 전반적으로 연간 강수량의 증가 추세와 유사하게 전체 건설현장 안전사고의 발생건수가 증가하는 추세를 보이며, 지역별로 강수량의 증감 거동과 유사한 사고발생의 빈도의 증감거동을 보였다. 우리나라의 평균 월강수량과 월별 건설 안전사고 발생건수는 0.8의 선형상관성을 가지며 지역별 분석에서는 섬지역인 제주도가 가장 높은 상관계수 0.9를 나타냈고, 서울특별시 0.7, 대구광역시 0.7, 광주광역시 0.7, 부산광역시 0.5, 인천광역시 0.5, 대전광역시 0.4의 상관관계 순으로 나타났다. 강수변화에 따른 지역, 계절, 월별 강수-건설재해 상관성을 분석 제시하였다. 장마철인 7~8월에는 봄철인 3월~5월에 비해 강수량의 증가뿐만 아니라 21.16%의 사고 발생건수 증가가 나타났으며 우리나라의 강수특성 중 기후변화로 인하여 태풍의 영향이 많았던 시기의 사고발생의 특성을 정량적으로 분석하였다. 특히 2002년 태풍 '루사'와 2003년 태풍 '매미' 발생 시 산업현장의 재해 발생이 많이 있었던 것으로 조사 되었는데, 그 이유로는 산업현장에 태풍의 영향으로 감전사고 발생률이 2배가량 증가하며, 구조물과 사면이 무너져 내리는 등 사고가 빈번히 발생하면서 재해발생률이 더 증가하였다. 이처럼 기후변화에 따른 강수특성 변화로 건설 산업현장은 사고의 위험에 더욱 노출되고 있으므로 이에 대한 지역적 특성 분석과 대책 수립이 요구된다.

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Crime Prediction and Factor Analysis of Incheon Metropolitan City Using Explainable Artificial Intelligence (설명 가능 인공지능 기술을 적용한 인천광역시 범죄 예측 및 요인 분석)

  • Kim, Da-Hyun;Kim, You-Kyung;Kim, Hyon-Hee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.513-515
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    • 2022
  • 본 연구는 범죄를 발생시키는데 관련된 여러가지 요인들을 기반으로 범죄 예측 모델을 생성하고 설명 가능 인공지능 기술을 적용하여 인천 광역시를 대상으로 범죄 발생에 영향을 미치는 요인들을 분석하였다. 범죄 예측 모델 생성을 위해 XG Boost 알고리즘을 적용하였으며, 설명 가능 인공지능 기술로는 Shapley Additive exPlanations (SHAP)을 사용하였다. 기존 관련 사례들을 참고하여 범죄 예측에 사용된 변수를 선정하였고 변수에 대한 데이터는 공공 데이터를 수집하였다. 실험 결과 성매매단속 현황과 청소년 실종 가출 신고 현황이 범죄 발생에 큰 영향을 미치는 주요 요인으로 나타났다. 제안하는 모델은 범죄 발생 지역, 요인들을 미리 예측하여 제시함으로써 범죄 예방에 사용되는 인력자원, 물적자원 등을 용이하게 쓸 수 있도록 활용할 수 있다.