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    국내 중금속 데이터를 이용한 지역별 배경농도 산정 및 오염도 평가 = Estimation of Regional Background Concentrations of Heavy Metals and Assessment of Soil Contamination in South Korea

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    https://www.riss.kr/link?id=A109470312

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    It is essential to use specific background concentrations that reliably represent the characteristics of the area underevaluation. In this study, we analyzed the concentrations of heavy metals using the results of the 2022 surveys of the actualstate of soil contamination from 17 metropolitan governments. The overall national averages of natural backgroundconcentrations were obtained from the results of the 2021-2022 soil monitoring network and compared with that obtainedin previous studies. In addition, the natural, anthropogenic, and natural/anthropogenic background concentrations wereseparately obtained for each of the 17 metropolitan governments. The contamination factor (CF), one of the mostcommonly used soil pollution indices, was selected and applied to evaluate the soil contamination levels for the 2022survey results. Variations ranging from 0.3 to 1.4 times were obtained between the national average natural backgroundconcentrations from the 2021-2022 network and those from that commonly used in previous studies in Korea. Moreover,the natural and natural/anthropogenic background concentrations of each metropolitan government varied significantly.
    Compared to the cases using the national average background concentrations, the soil pollution level of the metropolitangovernments could be overestimated or underestimated when using the regional average background concentrations.
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    It is essential to use specific background concentrations that reliably represent the characteristics of the area underevaluation. In this study, we analyzed the concentrations of heavy metals using the results of the 2022 surveys of the actualstate o...

    It is essential to use specific background concentrations that reliably represent the characteristics of the area underevaluation. In this study, we analyzed the concentrations of heavy metals using the results of the 2022 surveys of the actualstate of soil contamination from 17 metropolitan governments. The overall national averages of natural backgroundconcentrations were obtained from the results of the 2021-2022 soil monitoring network and compared with that obtainedin previous studies. In addition, the natural, anthropogenic, and natural/anthropogenic background concentrations wereseparately obtained for each of the 17 metropolitan governments. The contamination factor (CF), one of the mostcommonly used soil pollution indices, was selected and applied to evaluate the soil contamination levels for the 2022survey results. Variations ranging from 0.3 to 1.4 times were obtained between the national average natural backgroundconcentrations from the 2021-2022 network and those from that commonly used in previous studies in Korea. Moreover,the natural and natural/anthropogenic background concentrations of each metropolitan government varied significantly.
    Compared to the cases using the national average background concentrations, the soil pollution level of the metropolitangovernments could be overestimated or underestimated when using the regional average background concentrations.

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    참고문헌 (Reference)

    1 Ogbeibu, A. E., "Using pollution load index and geoaccumulation index for the assessment of heavy metal pollution and sediment quality of the Benin River" 2 (2): 1-9, 2014

    2 Massas, I., "Total and available heavy metal concentrations in soils of the Thriassio plain(Greece)and assessment of soil pollution indexes" 185 : 6751-6766, 2013

    3 Xie, T., "The application of urban anthropogenic background to pollution evaluation and source identification of soil contaminants in Macau, China" 778 : 146263-, 2021

    4 He, Y., "Source-sink response analysis of heavy metals and soil pollution assessment in non-ferrous metal industrial agglomeration areas based on decision unit" 906 : 167437-, 2024

    5 Kowalska, J., "Soil pollution indices conditioned by medieval metallurgical activity–A case study from Krakow(Poland)" 218 : 1023-1036, 2016

    6 Taghavi, M., "Soil pollution indices and health risk assessment of metal(loid)s in the agricultural soil of pistachio orchards" 14 (14): 8971-, 2024

    7 신동 ; 박성재 ; 조영태 ; 봉재은 ; 박정훈, "Risk assessment for Soil Contamination Warning Standard and Soil Background Concentration" 26 (26): 37-49, 2021

    8 Tomlinson, D. L., "Problems in the assessment of heavy-metal levels in estuaries and the formation of a pollution index" 33 : 566-575, 1980

    9 Liu, W., "Oxidative potential of ambient PM2. 5 in the coastal cities of the Bohai Sea, northern China : seasonal variation and source apportionment" 236 : 514-528, 2018

    10 Müller, G., "Index of geoaccumulation in sediments of the Rhine River" 2 : 108-118, 1969

    1 Ogbeibu, A. E., "Using pollution load index and geoaccumulation index for the assessment of heavy metal pollution and sediment quality of the Benin River" 2 (2): 1-9, 2014

    2 Massas, I., "Total and available heavy metal concentrations in soils of the Thriassio plain(Greece)and assessment of soil pollution indexes" 185 : 6751-6766, 2013

    3 Xie, T., "The application of urban anthropogenic background to pollution evaluation and source identification of soil contaminants in Macau, China" 778 : 146263-, 2021

    4 He, Y., "Source-sink response analysis of heavy metals and soil pollution assessment in non-ferrous metal industrial agglomeration areas based on decision unit" 906 : 167437-, 2024

    5 Kowalska, J., "Soil pollution indices conditioned by medieval metallurgical activity–A case study from Krakow(Poland)" 218 : 1023-1036, 2016

    6 Taghavi, M., "Soil pollution indices and health risk assessment of metal(loid)s in the agricultural soil of pistachio orchards" 14 (14): 8971-, 2024

    7 신동 ; 박성재 ; 조영태 ; 봉재은 ; 박정훈, "Risk assessment for Soil Contamination Warning Standard and Soil Background Concentration" 26 (26): 37-49, 2021

    8 Tomlinson, D. L., "Problems in the assessment of heavy-metal levels in estuaries and the formation of a pollution index" 33 : 566-575, 1980

    9 Liu, W., "Oxidative potential of ambient PM2. 5 in the coastal cities of the Bohai Sea, northern China : seasonal variation and source apportionment" 236 : 514-528, 2018

    10 Müller, G., "Index of geoaccumulation in sediments of the Rhine River" 2 : 108-118, 1969

    11 Khorshidi, N., "Identification of heavy metal pollution sources and its associated risk assessment in an industrial town using the Kmeans clustering technique" 135 : 105113-, 2021

    12 윤정기 ; 김동호 ; 박종겸 ; 정일록 ; 김혁 ; 김태승 ; 김종하, "Evaluation on natural background of the soil heavy metals in Korea" 14 (14): 32-39, 2009

    13 Memoli, V., "Evaluation of tourism impact on soil metal accumulation through single and integrated indices" 682 : 685-691, 2019

    14 Mikkonen, H. G., "Evaluation of environmental and anthropogenic influences on ambient background metal and metalloid concentrations in soil" 624 : 599-610, 2018

    15 Sutherland, R. A., "Bed sediment-associated trace metals in an urban stream, Oahu, Hawaii" 39 : 611-627, 2000

    16 Zhiyuan, W., "Assessment of soil heavy metal pollution with principal component analysis and geoaccumulation index" 10 : 1946-1952, 2011

    17 Kahangwa, C. A., "Application of principal component analysis, cluster analysis, pollution index and geoaccumulation index in pollution assessment with heavy metals from gold mining operations, Tanzania" 10 (10): 303-317, 2022

    18 임정은 ; 안명찬 ; 최욱희 ; 김인구 ; 이정은 ; 김희중 ; 신수정 ; 김선홍 ; 정연정, "Application of Heavy Metal(loid)Pollution Indices for Urban Park Soils in Gangwon Province" 35 (35): 139-147, 2023

    19 Yang, H., "An improved weighted index for the assessment of heavy metal pollution in soils in Zhejiang, China" 192 : 110246-, 2021

    20 Håkanson, L., "An ecological risk index for aquatic. Pollution control: A sedimentological approach" 14 : 975-1001, 1980

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