• Journal of Korea Soil Environment Society
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• v.1 no.1
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• pp.47-54
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• 1996

Soil pollution indices (SPI) were designed for estimating quality of soil polluted with arsenic and heavy metals. Applying the quality reference value of soil based on its multifunctional purpose was a key step. For considereing multifunctions of soil, soil was classified into 4 groups-agricultural land, residential area, recreational area, factorial site. Then, each concentration of arsenic and each of five heavy metals (Cd, Cu, Hg, Pb, Zn) in soils grouped was transformed to a mathematical value based on the soil quality reference value which may stand for ecological impact. Soil pollution score (SPS) was the addition of the 6 values transformed, and the range of the SPS was divided into 4 Soil Pollution Classes (SPC). The SPC 1, 2, 3, and 4 were SPS <100, SPS 100-200, SPS >200-300, and SPS >300, repectively. SPS and SPC were evaluated with the results of the data from employing the Soil Network of 1994. Based on the soil quality reference values, SPS and SPC of the Soil Network's data were transformed and classified, respectively. Then, SPS and SPC were compared with arsenic and the 5 heavy metal contents of their reference values resulted from the Soil Network's. From this method, soil quality of most of the Soil Network area was estimated to be healthy. However, ca. 3.0~4.0% of the Soil Network area was determined in a range of slightly and heavily polluted. As the mean value of SPS of the Soil Network's was 66.2 which indicates most of soil evaluated was healthy. When the SPSs of the data were divided into 4 groups of SPC, Class 1 (Good quality of soil), Class 2 (Need to be checked area 1), Class 3 (Need to be checked area 2) and Class 4 (Polluted area) were 87.0, 9.4, 2.4, 1.2%, respectively. Using SPI were comparable to those of heavy metal contents in soils, and would be comprehenve to determine the status of soil qulity. Methodology of the developing SPI would be applicable to the other soil pollutants such as organic and inorganics than arsenic and 5 heavy metals used here.

• Korean Journal of Organic Agriculture
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• v.9 no.1
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• pp.91-108
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• 2001

농업영농활동으로 인한 지하수와 지표수오염이 증가함에 따라 유럽연합(EU)과 각국 정부는 상수원보호를 위한 규제를 마련해 나가고 있다. 농민들의 영농활동을 제한하는 이러한 각종 규제에도 불구하고, 농지로부터 유입되는 상수원의 질산염 함량과 농약농도는 계속적으로 증가하고 있다. 지하수 용탈(질산염)과 지표수 유거(인산염, 농약)는 상수원오염은 주범으로 인식되고 있으며, 어느 지역 상수원의 질산염 오염 위험성은 1) 년간 양분균형 계산, 2) 규칙적 토양질산염 분석 등에 의해 파악이 가능하다. 질산염 용탈 이전에 토양질산염 분석을 통한 토양진단은 질산염 용탈 위험성과 작부체계의 지속성에 대한 필수적인 정보들을 제공하게 된다. 유기질비료를 다량 투입하는 유기농업의 지속성은 1) 양분균형의 과다 계산(질소, 인산, 칼리), 2) 토양질산염진단법, 3) 경운층의 토양인산진단법 등에 평가될 수 있다. 상수원을 가장 효과적으로 보호하기 위해서는 토양진단 최적시비전략과 작부체계가 함에 개발되어져야 한다.

• Journal of Korea Soil Environment Society
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• v.1 no.1
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• pp.55-65
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• 1996

Soil quality of most of Soil Network area was estimated healthy by employing Soil Pollution Indices (Soil Pollution Score and Soil Pollution Class). However, 1.5∼3.7% of the total Soil Network area was determined Soil Pollution Class (SPC) 4 which may need cleanup process due to slight or heavy pollution with arsenics and heavy metals. Numbers of the SPC 4 sites were 9, 47, 19, 17, and 17 in 1987, 1989, 1991, 1993, and 1994, respectively During 1987 and 1994, all of SPC 4 sites were identified agricultural land except one in 1994. Soil Pollution Scores (SPSs) was determined high around smelters, metalliferous mines, and industrial sites among the 16 major soil pollution sources of the Soil Network. Also, most area of SPC 4 sites were densely populated in these area of the Soil Network. SPSs of Inchon and Taegu were high among the other major cities and provinces in Korea. Numbers of SPC 4 were high in the province of Kangwon, Kyongbuk, Kyongnam amongst. Cumulative numbers of SPC 4 multiplied by a weighting value 0.3 during 1987 and 1994 of the Soil Network were regressed to develop a model equation for prospecting the soil quality. The model equation was Y= 1.16+0.23x, where as Y is the number of Class 4 and x is the year. Resulting the area of SPC 4 were 4.8%, 6.0%, 6.6% of the Soil Network in the year of 2001, 2006, 2011, respectively Based on this results, the area of SPC 4 would increase 5, 7, and 10 times comparing the area polluted with heavy metals in 1987.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.414-414
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• 2019

농업으로부터의 비점오염은 지표수와 지하수 모두의 수질에 영향을 미친다. 특히, 비료, 퇴비, 농약 등의 인공적 질소가 살포된 토양은 강우시 화학 침출로 인한 수질오염이 발생되고 있다. 강우시 강우유출수와 함께 지표 수역으로 흘러들어오는 영양물질(질소, 인)은 저수지로 유입되어 침수시 작물이 죽게 되어 저수지의 부영양화 등의 수질 오염문제를 야기시킨다. 국내에서는 홍수조절용지에서의 영농활동의 전면 금지하고 있는 실정이지만, 불법적으로 경작활동이 진행되고 있다. 따라서, 본 연구에서는 다목적댐 홍수조절지 내 경작지 토양 및 양분 특성 평가를 수행하였다. 홍수조절지 내 경작지 토양 특성 및 양분 조사를 위하여 경작이 집중적으로 이루어지고 있는 대청호 지역을 모니터링 지점으로 선정하였다. 모니터링은 경작지 내 토양 시료 및 주변 토양을 채취하여 분석을 수행하였다. 채취한 토양은 토양표준분석법(농촌진흥청, 2012) 및 농업토양분석방법(국립산림과학원, 2014) 기준을 바탕으로 물리 화학적 분석을 수행하였다. 모니터링은 2018년 5월부터 수행되었으며 현재까지 월 1회씩 모니터링을 진행하고 있다. 연구 결과, 밭 경작지 토양은 논에 비해 실트질 함량이 절반으로 침투성이 높은 토양으로 분석되었으며, 영양염류의 침투를 통한 이동 가능(기저유출)이 높게 나타나는 것으로 조사되었다. 이는 중간유출 및 기저유출 저감방안 도입이 필요한 것으로 평가되었다. 작물별 토양 양분분석 결과 고추, 마늘, 담배 경작지에서 화학비료사용량이 타 작물에 비해 높은 것을 분석되었으며, 경작지에 화학비료 및 퇴비의 과다 사용으로 염류농도가 증가할 경우 전기전도도가 높아지며 토양의 삼투압을 증가시켜 물의 흡수와 각종 양분 흡수를 방해하는 것으로 평가되었다. 인의 존재 형태별 비교시 대부분의 경작지에서 높은 값을 보였으며, 특히 경작지 토양의 Residual-P의 농도가 원지반 보다 2~5배 정도 높게 나타났다. 이러한 원인은 퇴비의 사용으로 인한 Residual-P의 누적으로 평가되며, 환경변화에 따라 수층으로 인의 용출이 쉽게 발생하므로 향후 수질에 미치는 영향이 더 클 것으로 사료된다.

• Journal of Soil and Groundwater Environment
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• v.12 no.1
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• pp.103-115
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• 2007

Risk assessment by living indicator species provides the information about the ecosystem disturbance, disapperance of symbiosis and change of living group. In the initial stage of this kind research, the degree of contamination was reported using the level of simple number, but simple number may not represent the risk itself which can be casued in the living organisms. Risk assessment using various indicator species overcomes these limitations and can be expanded to the DNA level. In many developed counties, the government has supervised the researches about the indicator species for the monitoring and its application to ecosystem restoration. Several living indicator species found in the vicinity of the abandoned Au mines such as fern, earthworm, bacteria, rhizosphere-rhizoplane, salamamdor and DNA change of these species are described in this paper.

• Journal of Environmental Impact Assessment
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• v.32 no.2
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• pp.112-122
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• 2023

To restore the ecological function of contaminated soil and maximize the ecological services provided by the soil, besides the toxicity orrisk caused by pollutants, the functional aspects of the soil ecosystem should be considered. In this study, a method for evaluating the health of cleaned soil was presented, and the applicability of the proposed evaluation method was examined by applying it to soil treated with washing and landfarming. Productivity, habitat, water retention capacity, nutrient cycling, carbon retention capacity, and buffering capacity were used as soil health evaluation indicators. The results showed that the soil health was not completely recovered after remediation, and even in the case of the washed soil, the health was lower than before remediation. On the other hand, there was no significant change in soil quality due to oil pollution, but soil health deteriorated. Unlike the slightly improved soil quality after landfarming treatment, soil health was not completely restored. Therefore, the results of this study indicate that it is desirable to consider both soil quality and health when evaluating the remediation effect. The soil health evaluation method proposed in this study can be usefully utilized for the sustainable use of cleaned soil and to promote ecosystem services.

• Journal of Environmental Impact Assessment
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• v.26 no.4
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• pp.227-241
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• 2017

A human in urban areas has depended on ecosystem for well-being, so it is important to evaluate urban ecosystem services which contribute significantly to human well-being. In this study we classified ecosystem functions and set indicators used for evaluating ecosystem services of urban park by Delphi method. As a result, it derived 12 items and 14 indicators of ecosystem services to evaluate them such as vegetable garden, canopy cover, biodiversity, and educational programs. Based on the derived evaluation indicators, the feasibility of the indicators was examined by applying to two urban parks, Maetan park and Seoho-Ggotme park, in Suwon City. We also suggested strategies to improve each ecosystem services based on the results of evaluation. It is significant to recognize unknown services in urban parks. The results can be used for improving urban ecosystem services consistently in response to current rapid urbanization. In the future, the city should make a master plan on ecosystem service on urban area, beyond urban park, considering both of quality and quantity.

• Water for future
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• v.49 no.5
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• pp.43-65
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• 2016

베트남은 개발도상국가로서 지속적인 경제발전을 위한 수자원공급 시스템뿐만 아니라 삶의 질(보건 및 의료분야) 향상을 위한 수질관리에 있어서도 향후 많은 문제점에 봉착할 가능성이 높은 국가이다. 베트남의 지표수원은 상류지역에 위치한 인접국가로부터 연결된 강 하천의 유량에 절대적으로 의존하고 있으며, 지하수 수량은 지역별로 차이가 심하다. 수질은 취수 및 형성 과정에서 오염되는 경우가 발생하여, 산업 및 축산폐수에 의한 토양오염으로 인한 수질악화문제가 심각한 상황에 놓여있다. 베트남 정부는 최근 몇 년간 수자원 분야에 많은 투자를 해오고 있으며, 또한 외국투자 유치를 위해 정부차원에서 노력 중에 있다. 이렇듯 현재 상황에서 베트남 수자원관리에 SWG 기술 및 시스템의 적용을 위한 최적의 시기라 할 수 있다. SWG 기술의 해외시장 진출을 위한 타겟지역인 베트남 흥옌성에 대한 적용가능성 및 실증화(테스트 베드) 논의를 타진해 봄으로써 흥옌성에 대한 물관련 이슈 및 니즈를 사전적으로 분석하고 향후 비즈니스 모델 구축을 통한 실용화를 제고할 필요가 있다.

• Journal of Soil and Groundwater Environment
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• v.8 no.4
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• pp.68-73
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• 2003

This study performed from 2002 October to 2003 April. The samples were taken at 66 sites, divided into the 6 sections functionally in the southern part of Seoul such as Yangchon-gu, Kangseo-gu, Kuro-gu, Yeongdengpo-gu, Kwanak-gu, Dongjak-gu, Seocho-gu, Kangnam-gu, Songpa-gu, and Kangdong-gu. The result of research showed that each property soil was pH 4.7∼9.5, Cd; 0.391 mg/kg (0.011∼l.081 mg/kg). Cu; 12.35 mg/kg (0.061∼73.62 mg/kg), Pb; 13.04 mg/kg (N.D.∼61.85 mg/kg), Hg; 0.0866 mg/kg (N.D.∼1.353 mg/kg), F; 206.8 mg/kg(47.1∼561.1mg/kg). The minimum and maximum of the concentration with functional soils were Cd; 0.632 mg/kg for multi-purposed soil,0.079 mg/kg for schools, Cu; 21.35 mg/kg for roadside, 2.159 mg/kg for schools, Pb; 24.70 mg/kg for roadside, 1.030 mg/kg for schools, Hg; 0.1780 mg/kg for multi purposed, 0.0087 mg/kg for schools. Especially F was the high concentration at the hills. Also the concentration of Cd, Cu, Pb, Hg and F at school Zone was detected such as low. area of schools area was detected the low concentrations as the items of Cd, Cu, Pb, Hg, and F. The average concentrations of metals and fluorine in the survey area were below the Preliminary Standard of the Soil Preservation Acts in Korea. To evaluate the soil quality of these area showed as a good qualified results. The results of SQPI (Soil Quality Pollution Index the qualified results as much as 86.4%.

• Journal of the Mineralogical Society of Korea
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• v.21 no.1
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• pp.57-65
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• 2008

The geochemical partitioning of arsenic in contaminated soils from a of wet land and tailing of the abandoned mine is examined. Chemical analysis and sequential extraction method by ultrasound-sonication extraction are applied to investigate the mobility and chemical existence conditions of arsenic as well as heavy metals. The results of this study showed that heavy metals concentration of tailings showed as a following order: Fe > As > Cu > Pb > Cr. The highest metal concentration was recognized in samples less than $63\;{\mu}m$ fraction in their particle sizes. Exchangeable and carbonate fractions in soil samples showed following Cu > As > Pb > Fe > Cr for tailings, and Fe > Pb > Cu > As > Cr for reservoir soils, respectively. Arsenic was bound as exchangeable fraction in tailings and its concentration appeared higher than those of the other metals. Thus, As can be easily dispersed into soil and water environments. The obtained results can be used to design soil remediation plan in the study area and require further detailed study to investigate severe environmental pollution of surface water as well as rivers with respect to heavy metals in terms of speciation analysis of toxic elements such as As and Cr.