• Title/Summary/Keyword: arsenic contamination

Search Result 162, Processing Time 0.039 seconds

Status and future perspective for soil contamination of arable land in China

  • Lee, Kyo Suk;Lee, Dong-Sung;Hong, Beong-Deuk;Seo, Il-Hwan;Lim, Chul-Soon;Jung, Hyun-Kyu;Chung, Doug Young
    • Korean Journal of Agricultural Science
    • /
    • v.46 no.4
    • /
    • pp.869-883
    • /
    • 2019
  • China is currently facing great challenges in protecting its arable soil from contamination by heavy metals, especially Cd in paddy soil. China enacted the first soil environmental quality standards (SEQS) for ten pollutants in 1995, and the Ministry of Ecology and Environment released the results of the first nationwide soil survey in 2014. The soil survey showed that as much as 16% of China's soil and 19% of the agricultural soils were contaminated mainly with heavy metals and metalloids beyond the environmental quality limits. The exceeded rate of the contaminant limits in food crops was widespread in China, and the most severe regions were East and Southwest China. Heavy metals and metalloids accounted for 82.4% of the contaminants in soils while organic pollutants accounted for 17% of the contaminants in the soil. Among the heavy metals and metalloids exceeding the Ministry of Environmental Protection (MEP) limit, cadmium (Cd) was highest at 7.0%, followed by nickel (4.8%), arsenic (2.7%), cobalt (2.1%), mercury (1.6%) and lead (1.5%). However, all the average concentrations of the pollutants were lower than the recommended values for the contaminants except for Cd for three levels of pH (< 6.5, 6.5 - 7.5, and > 7.5). According to the Action Plan on Prevention and Control of Soil Pollution released by the State Council in 2016, 90% of contaminated farmland will be made safe by 2020 with an increase to 95% by 2030. Therefore, it is necessary to improve the soil quality to meet the environmental quality standard for soils and heavy metal standards for food safety.

Environmental contamination and geochemical behaviour of heavy metals around the abandoned Songcheon Au-Ag mine, Korea

  • Lim Hye-sook;Lee Jin-Soo;Chon Hyo-Teak;Sager Manfred
    • 한국지구물리탐사학회:학술대회논문집
    • /
    • 2003.11a
    • /
    • pp.544-547
    • /
    • 2003
  • The objective of this study is to investigate the contamination levels and dispersion patterns of arsenic and heavy metals and to estimate the bioaccessible fraction of the metals in soil and plant samples in the vicinity of the abandoned Songcheon Au-Ag mine. Tailings, soils, plants (Chinese cabbage, red pepper, soybean, radish, sesame leaves, green onion, lettuce, potato leaves, angelica and groundsel) and waters were collected around the mine site. After appropriate preparation, all samples were analyzed for As, Cd, Cu, Pb and Zn by ICP-AES and ICP-MS. Elevated levels of As and heavy metals were found in tailings. Mean concentrations of As in agricultural soils were higher than the permissible level. Especially, maximum level of As in farmland soil was 513 mg/kg. The highest concentrations of As and Zn were found in Chinese cabbage (6.7 mg/kg and 359 mg/kg, respectively). Concentrations of As, Cd, and Zn in most stream waters which are used for drinking water around this mine area were higher than the permissible levels regulated in Korea. Maximum levels of As, Cd and Zn in stream waters were 0.78 mg/L, 0.19 mg/L and 5.4 mg/L, respectively. These results indicate that mine tailings can be the main contamination sources of As and heavy metals in the soil-water system in the mine area. The average of estimated bioaccessible fraction of As in farmland soils were $3.7\%$ (in simulated stomach) and $10.8\%$ (in simulated small intestine). The highest value of bioaccessible fraction of metal in farmland soils was $46.5\%$ for Cd.

  • PDF

Comparison of Heavy Metal(loid)s Contamination of Soil between Conventional and Organic Fruit Farms

  • Lee, Hyun Ho;Kim, Keun Ki;Lee, Yong Bok;Kwak, Youn Sig;Ko, Byong Gu;Lee, Sang Beom;Shim, Chang Ki;Hong, Chang Oh
    • Korean Journal of Soil Science and Fertilizer
    • /
    • v.50 no.5
    • /
    • pp.401-408
    • /
    • 2017
  • Organic amendments such as animal waste compost, lime-bordeaux mixture, and lime sulphur mixture contain heavy metal(loid)s which are toxic to human being, animal, and plant. The objective of this study was to compare heavy metal(loid)s contamination of soil between conventional and organic farm. Soil samples were collected from 10 conventional and 38 organic fruit farms. At each sampling point, top (0~15 cm) and sub soil (15~30 cm) were taken using hand auger. Total concentration for arsenic (As), cadmium (Cd), copper (Cu), nikel (Ni), lead (Pb), and zinc (Zn) in the collected soil were measured. The pollution index (PI) for heavy metal in organic farms indicated it was unpolluted area. However, mean value of PI for organic farms (0.143) was higher than that for conventional farms (0.122). High Geoaccumulation index (Igeo) for Cu, Pb, and Zn implied that grape farms were more polluted than others fruit farms because a lot of lime-bordeaux mixture and lime sulphur were applied in organic grape farms. Especially, top soils showed higher level of contamination than sub soil. Based on the above results, organic amendments might cause accumulation of heavy metals in soil. Therefore, particular attention should be paid for concentration of Cu, Pb, and Zn, when organic amendments are used in the organic fruit farms.

Spatial Distribution of Metal (loid) Contamination in Agricultural Soil as Affected by the Abandoned Mines: A Case Study of Buyeo County, South Korea (폐금속 광산의 영향을 받는 농경지 토양 내 금속성분 오염의 공간적 분포특성: 충청남도 부여군의 사례연구)

  • Yun, Sung-Wook;Kim, Dong-Hyeon;Kang, Dong-Hyeon;Lee, Si-Young;Son, Jinkwan;Kim, Hae-Do;Yoon, Yong-Chel;Yu, Chan
    • Journal of The Korean Society of Agricultural Engineers
    • /
    • v.59 no.6
    • /
    • pp.51-60
    • /
    • 2017
  • In this study, the concentrations of As, Cd, Cu, Pb and Zn in agricultural soils across a region of South Korea (Buyeo County) were investigated. Their pollution sources were assessed using multivariate statistical analysis, and Geographic Information System (GIS) technology was used to determine the distribution of these elements. Surface soil samples were collected from 114 locations across the agricultural fields in the study site. Cu and Zn were derived from natural sources (i.e., parent rocks of the soil), whereas As, Cd, and Pb were found to be originated from abandoned mines. The results of this study clearly show that the transport of anthropogenic As, Cd, and Pb is governed mostly by the specific environment of the paddy soil. Our approach was effective in clearly identifying the sources of metals and analyzing their contamination characteristics. We believe this study will provide useful information to future studies on soil pollution by anthropogenic sources.

Predicting As Contamination Risk in Red River Delta using Machine Learning Algorithms

  • Ottong, Zheina J.;Puspasari, Reta L.;Yoon, Daeung;Kim, Kyoung-Woong
    • Economic and Environmental Geology
    • /
    • v.55 no.2
    • /
    • pp.127-135
    • /
    • 2022
  • Excessive presence of As level in groundwater is a major health problem worldwide. In the Red River Delta in Vietnam, several million residents possess a high risk of chronic As poisoning. The As releases into groundwater caused by natural process through microbially-driven reductive dissolution of Fe (III) oxides. It has been extracted by Red River residents using private tube wells for drinking and daily purposes because of their unawareness of the contamination. This long-term consumption of As-contaminated groundwater could lead to various health problems. Therefore, a predictive model would be useful to expose contamination risks of the wells in the Red River Delta Vietnam area. This study used four machine learning algorithms to predict the As probability of study sites in Red River Delta, Vietnam. The GBM was the best performing model with the accuracy, precision, sensitivity, and specificity of 98.7%, 100%, 95.2%, and 100%, respectively. In addition, it resulted the highest AUC of 92% and 96% for the PRC and ROC curves, with Eh and Fe as the most important variables. The partial dependence plot of As concentration on the model parameters showed that the probability of high level of As is related to the low number of wells' depth, Eh, and SO4, along with high PO43- and NH4+. This condition triggers the reductive dissolution of iron phases, thus releasing As into groundwater.

Evaluation of the contamination Level of Inland Pollution Sources Flowing into Taeanhaean National Park in Summer and Fall (2017-2018) (태안해안국립공원 연안으로 유입되는 하계-추계 육상오염원의 오염도 평가(2017~2018))

  • Hwang, Da Hye;Kim, Jin Hyun;Jang, Seong Geon;Jeong, Won ok;Jeong, Byungkwan
    • Journal of Environmental Science International
    • /
    • v.31 no.6
    • /
    • pp.491-501
    • /
    • 2022
  • This study evaluated the contamination levels of inland pollution sources flowing into Taeanhaean National Park. The nutritional status of influents was assessed by analyzing water quality and trophic status index (TRIX) at 52 stations, and the contamination levels of sediments were evaluated by analyzing eutrophication cleanup index (CIET) and heavy metals at 36 stations. The results of the TRIX analysis showed that 26 of the 52 stations had influents with a TRIX value of 6-10 (poor water quality/very high trophic level), indicating atrocious water quality and high eutrophication levels. The results of the CIET analysis showed that 4 out of the 36 stations were highly contaminated with organic matter. Analysis of heavy metals showed that the copper (Cu) and zinc (Zn) levels exceeded the threshold effects level (TEL) and probable effects levels (PEL) at several stations. In addition, the arsenic (As) level exceeded the threshold effects level at one station, and the levels of the other heavy metals (Cd, Cr6+, Ni, Pb, and Hg) were lower. Most inland pollution sources have been identified as small-scale, but long-term and continuous exposure can negatively affect the marine ecosystem; therefore, it necessary to prepare inland pollution source management standards and measures suitable for the characteristics of the coastal area.

Ecosystem Risk Assessment Using the Indicator Species (지표종을 이용한 생태계 위해성평가)

  • Chang, Jin-Soo;Kim, Kyoung-Woong
    • Journal of Soil and Groundwater Environment
    • /
    • v.12 no.1
    • /
    • pp.103-115
    • /
    • 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.

Experimental Studies on Dissolution Characteristics of a Heavy Metal(As) in Mining Waste (광산매립지에서 중금속(As)의 용출 특성에 관한 실험적 연구)

  • Han, Choon;Seo, Myoung-Jo;Yoon, Do-Young;Choi, Sang-Il;Lee, Hwa-Young;Kim, Sung-Kyu;Oh, Jong-Kee
    • Journal of Korea Soil Environment Society
    • /
    • v.3 no.1
    • /
    • pp.55-63
    • /
    • 1998
  • This study investigates the contamination mechanism of soil by drainages including acid rains around mining waste sites, and suggests the quantitative methods of prevention against soil contaminations and its alternatives. For these purposes, the dissolution of arsenic in soils, which is one of toxic heavy metals, has been examined experimentally using the artificial acidic solution. Also, in order to prevent dissolution of arsenic by acid rain, the effects of limestone for the neutrality method on the soil were investigated. The arsenic in soil specimen was dissolved by strong acidic solution below pH1.0. The maximum amount of dissolved arsenic increased with decreasing pH value. Furthermore, it was found very effective to use limestones for the neutrality method. The neutralization of limestones in acidic solution was found to follow the equation of chemical reaction-controlling formulation in unreacted-core models.

  • PDF

MTHFR, As3MT and GSTO1 Polymorphisms Influencing Arsenic Metabolism in Residents Near Abandoned Metal Mines in South Korea (폐금속광산 지역 주민의 비소 대사에 영향을 미치는 MTHFR, As3MT, GSTO1 유전자 다형성)

  • Surenbaatar, Ulziikhishig;Kim, Byoung-Gwon;Son, Hyun-Jin;Cho, Seong-Sik;Kim, Gwon-Min;Lim, Hyoun-Ju;Kwon, Jung-Yeon;Kim, Ki-Hwan;Hong, Young-Seoub
    • Journal of Environmental Health Sciences
    • /
    • v.47 no.6
    • /
    • pp.530-539
    • /
    • 2021
  • Background: In South Korea, areas around abandoned metal mines are designated as regions with high arsenic (As) contamination. However, studies assessing urinary As exposure, As metabolism, and relevant genetic polymorphisms in residents of these metal mine areas are lacking. Objectives: To identify factors associated with As exposure and evaluate the effects of MTHFR, As3MT, and GSTO1 genetic polymorphisms on As metabolism in residents of abandoned metal mine areas by measuring urinary As species. Methods: Urinary As species (arsenite [As3+], arsenate [As5+], monomethyl arsonic acid, and dimethylarsinic acid) were isolated using high-performance liquid chromatography in combination with inductively coupled plasma mass spectrometry (HPLC-ICP-MS). Four genetic polymorphisms (MTHFR A222V, MTHFR E429A, GSTO1 A140D, As3MT M287T) were analyzed in 144 residents of four areas around abandoned metal mines. Results: The study sample was comprised of 34.7% men and 65.3% women, with a mean age of 70.7±10.9 years. The urinary inorganic As concentration was higher among those consuming more than half locally produced rice (0.31 ㎍/L) than those consuming less than half such rice (0.18 ㎍/L). The urinary dimethylarsinic acid concentration was higher in the group that had consumed seafood in the past day (31.68 ㎍/L) than in those who had not (22.37 ㎍/L). Furthermore, individuals heterozygous in the MTHFR A222V and GSTO1 A140D polymorphism had higher urinary arsenic species concentrations than did individuals with a wild type or homozygous for the variant allele. Conclusions: Consumption of locally produced rice was associated with inorganic As exposure, whereas seafood consumption was associated with organic As exposure among residents of abandoned metal mine areas. There was no clear association between MTHFR A222V and GSTO1 A140D polymorphisms and As metabolism.

Risk Assessment of Arsenic-Contaminated Groundwater in Multiple Scenarios in a Rural Area of Gyeongnam Province, Korea (경남 농촌 지역 비소 오염 지하수의 시나리오별 위해성 평가)

  • Oh, Serim;Lee, Jin-Yong;Moon, Sang-Ho;Jang, Jiwook;Jeong, Eunju
    • The Journal of Engineering Geology
    • /
    • v.32 no.4
    • /
    • pp.437-448
    • /
    • 2022
  • This work aims to assess the threat to human health of hazardous materials in groundwater that is used domestically and for drinking. Two distinct sub-assessments are considered: cancer and non-cancer risk. The studied groundwater is in an agricultural area of Gyeongnam Province, Korea, and is contaminated by arsenic at a mean level of 16.27 ㎍/L, far greater than the WHO guideline (10 ㎍/L for drinking water). We collected groundwater data from the National Groundwater Information Center (gims.go.kr) and assessed the risk to human health following the methodology of the United States Environmental Protection Agency. We considered three exposure scenarios: domestic use (scenario 1) and drinking use with different doses (scenarios 2 and 3). Scenario 1 had a median hazard quotient (HQ) of 0.77 and a cancer risk (CR) of 0.013. Scenario 2 had a median HQ of 0.08 and a CR of 3.69 × 10-5, and the values for scenario 3 were 0.11 and 4.82 × 10-5, respectively. Scenario 1 is likely the most hazardous to human health. Further study of the origin of arsenic in groundwater in the study area is required, as are remedial measures to mitigate its health effects.