Earth Science Frontiers ›› 2021, Vol. 28 ›› Issue (5): 448-455.DOI: 10.13745/j.esf.sf.2021.1.57
CAO Wei(), ZHANG Lei*(
), QIN Yanwen, CHI Minghui, ZHAO Yanmin, YANG Chenchen, SHI Yao
Received:
2020-11-13
Revised:
2021-01-15
Online:
2021-09-25
Published:
2021-10-30
Contact:
ZHANG Lei
CLC Number:
CAO Wei, ZHANG Lei, QIN Yanwen, CHI Minghui, ZHAO Yanmin, YANG Chenchen, SHI Yao. Spatial distribution characteristics and risk assessment of heavy metals in surface sediments in Lake Yunmeng[J]. Earth Science Frontiers, 2021, 28(5): 448-455.
地累积指数 | 潜在生态危害指数 | 综合潜在生态危害指数 | |||||
---|---|---|---|---|---|---|---|
阈值区间 | 污染等级 | 阈值区间 | 风险因子程度分级 | 阈值区间 | 风险指数程度分级 | ||
Igeo≤0 | 无 | Ei<40 | 轻微生态风险 | RI<150 | 低 | ||
0<Igeo≤1 | 轻度-中等 | 40≤Ei<80 | 中等生态风险 | 150≤RI<300 | 中 | ||
1<Igeo≤2 | 中等 | 80≤Ei <160 | 较强生态风险 | 300≤RI<600 | 高 | ||
2<Igeo≤3 | 中等-强 | 160≤Ei <320 | 强生态风险 | RI≥600 | 极高 | ||
3<Igeo≤4 | 强 | Ei≥320 | 很强生态风险 | ||||
4<Igeo≤5 | 强-极严重 | ||||||
Igeo>5 | 极严重 |
Table 1 Grading standards for geoaccumulation and potential ecological risk indexes
地累积指数 | 潜在生态危害指数 | 综合潜在生态危害指数 | |||||
---|---|---|---|---|---|---|---|
阈值区间 | 污染等级 | 阈值区间 | 风险因子程度分级 | 阈值区间 | 风险指数程度分级 | ||
Igeo≤0 | 无 | Ei<40 | 轻微生态风险 | RI<150 | 低 | ||
0<Igeo≤1 | 轻度-中等 | 40≤Ei<80 | 中等生态风险 | 150≤RI<300 | 中 | ||
1<Igeo≤2 | 中等 | 80≤Ei <160 | 较强生态风险 | 300≤RI<600 | 高 | ||
2<Igeo≤3 | 中等-强 | 160≤Ei <320 | 强生态风险 | RI≥600 | 极高 | ||
3<Igeo≤4 | 强 | Ei≥320 | 很强生态风险 | ||||
4<Igeo≤5 | 强-极严重 | ||||||
Igeo>5 | 极严重 |
站位及参量 | 重金属含量/(mg·kg-1) | |||||
---|---|---|---|---|---|---|
Cu | Zn | Pb | Cr | Cd | As | |
S1 | 10.4 | 32.6 | 13.8 | 64.5 | 0.7 | 2.0 |
S2 | 24.2 | 79.9 | 19.7 | 70.7 | 0.5 | 5.1 |
S3 | 27.3 | 102.1 | 25.5 | 83.5 | 0.1 | 4.9 |
S4 | 2.6 | 9.5 | 5.8 | 12.0 | 0.1 | 0.3 |
S5 | 11.7 | 29.2 | 22.2 | 20.7 | 0.1 | 6.0 |
S6 | 22.9 | 69.6 | 15.4 | 59.6 | 0.6 | 2.6 |
S7 | 28.1 | 95.7 | 18.7 | 76.5 | 0.6 | 2.8 |
S8 | 28.0 | 103.0 | 56.2 | 72.3 | 0.4 | 10.2 |
S9 | 21.8 | 58.9 | 14.0 | 54.8 | 0.5 | 9.2 |
S10 | 11.2 | 45.6 | 24.6 | 47.0 | 0.2 | 5.0 |
S11 | 20.6 | 67.7 | 24.9 | 52.0 | 0.4 | 4.8 |
S12 | 35.8 | 128.2 | 28.9 | 74.9 | 0.4 | 1.2 |
S13 | 29.1 | 113.9 | 28.2 | 69.5 | 0.1 | 1.6 |
S14 | 26.9 | 84.5 | 21.5 | 53.9 | 0.5 | 6.6 |
S15 | 12.8 | 75.7 | 27.0 | 117.7 | 0.2 | 5.9 |
平均值 | 20.9 | 73.1 | 23.1 | 62.0 | 0.4 | 4.5 |
临沂市土壤背景值 | 23.7 | 64.5 | 26.1 | 61.1 | 0.125 | 6.5 |
站位样品数量超标比例 | 46.7% | 66.7% | 26.7% | 53.3% | 86.6% | 20.0% |
平均值与临沂市土壤背景值之比 | 0.9 | 1.1 | 0.9 | 1.0 | 3.2 | 0.7 |
Table 2 Heavy metal content in surface sediments in Lake Yunmeng
站位及参量 | 重金属含量/(mg·kg-1) | |||||
---|---|---|---|---|---|---|
Cu | Zn | Pb | Cr | Cd | As | |
S1 | 10.4 | 32.6 | 13.8 | 64.5 | 0.7 | 2.0 |
S2 | 24.2 | 79.9 | 19.7 | 70.7 | 0.5 | 5.1 |
S3 | 27.3 | 102.1 | 25.5 | 83.5 | 0.1 | 4.9 |
S4 | 2.6 | 9.5 | 5.8 | 12.0 | 0.1 | 0.3 |
S5 | 11.7 | 29.2 | 22.2 | 20.7 | 0.1 | 6.0 |
S6 | 22.9 | 69.6 | 15.4 | 59.6 | 0.6 | 2.6 |
S7 | 28.1 | 95.7 | 18.7 | 76.5 | 0.6 | 2.8 |
S8 | 28.0 | 103.0 | 56.2 | 72.3 | 0.4 | 10.2 |
S9 | 21.8 | 58.9 | 14.0 | 54.8 | 0.5 | 9.2 |
S10 | 11.2 | 45.6 | 24.6 | 47.0 | 0.2 | 5.0 |
S11 | 20.6 | 67.7 | 24.9 | 52.0 | 0.4 | 4.8 |
S12 | 35.8 | 128.2 | 28.9 | 74.9 | 0.4 | 1.2 |
S13 | 29.1 | 113.9 | 28.2 | 69.5 | 0.1 | 1.6 |
S14 | 26.9 | 84.5 | 21.5 | 53.9 | 0.5 | 6.6 |
S15 | 12.8 | 75.7 | 27.0 | 117.7 | 0.2 | 5.9 |
平均值 | 20.9 | 73.1 | 23.1 | 62.0 | 0.4 | 4.5 |
临沂市土壤背景值 | 23.7 | 64.5 | 26.1 | 61.1 | 0.125 | 6.5 |
站位样品数量超标比例 | 46.7% | 66.7% | 26.7% | 53.3% | 86.6% | 20.0% |
平均值与临沂市土壤背景值之比 | 0.9 | 1.1 | 0.9 | 1.0 | 3.2 | 0.7 |
站位 | 各重金属富集系数 | |||||
---|---|---|---|---|---|---|
Cu | Zn | Pb | Cr | Cd | As | |
S1 | 0.4 | 0.4 | 0.5 | 0.9 | 4.9 | 0.3 |
S2 | 1.8 | 1.5 | 1.3 | 2.0 | 6.6 | 1.3 |
S3 | 1.8 | 1.7 | 1.5 | 2.1 | 1.7 | 1.2 |
S4 | 0.1 | 0.1 | 0.2 | 0.2 | 0.7 | 0.0 |
S5 | 0.3 | 0.3 | 0.6 | 0.2 | 0.5 | 0.6 |
S6 | 0.8 | 0.9 | 0.5 | 0.8 | 3.8 | 0.3 |
S7 | 1.4 | 1.8 | 0.9 | 1.5 | 5.1 | 0.5 |
S8 | 1.3 | 1.7 | 2.3 | 1.3 | 2.9 | 1.7 |
S9 | 1.1 | 1.1 | 0.6 | 1.0 | 4.0 | 1.6 |
S10 | 0.6 | 0.8 | 1.1 | 0.9 | 1.4 | 0.9 |
S11 | 1.0 | 1.2 | 1.1 | 0.9 | 3.8 | 0.8 |
S12 | 3.1 | 3.6 | 2.3 | 2.5 | 6.1 | 0.4 |
S13 | 4.2 | 3.8 | 3.7 | 3.9 | 3.9 | 0.9 |
S14 | 1.4 | 1.6 | 1.0 | 1.1 | 4.2 | 1.2 |
S15 | 0.6 | 1.3 | 1.2 | 2.2 | 1.5 | 1.0 |
平均值 | 1.3 | 1.5 | 1.2 | 1.4 | 3.4 | 0.9 |
Table 3 Summary of enrichment factors for heavy metals
站位 | 各重金属富集系数 | |||||
---|---|---|---|---|---|---|
Cu | Zn | Pb | Cr | Cd | As | |
S1 | 0.4 | 0.4 | 0.5 | 0.9 | 4.9 | 0.3 |
S2 | 1.8 | 1.5 | 1.3 | 2.0 | 6.6 | 1.3 |
S3 | 1.8 | 1.7 | 1.5 | 2.1 | 1.7 | 1.2 |
S4 | 0.1 | 0.1 | 0.2 | 0.2 | 0.7 | 0.0 |
S5 | 0.3 | 0.3 | 0.6 | 0.2 | 0.5 | 0.6 |
S6 | 0.8 | 0.9 | 0.5 | 0.8 | 3.8 | 0.3 |
S7 | 1.4 | 1.8 | 0.9 | 1.5 | 5.1 | 0.5 |
S8 | 1.3 | 1.7 | 2.3 | 1.3 | 2.9 | 1.7 |
S9 | 1.1 | 1.1 | 0.6 | 1.0 | 4.0 | 1.6 |
S10 | 0.6 | 0.8 | 1.1 | 0.9 | 1.4 | 0.9 |
S11 | 1.0 | 1.2 | 1.1 | 0.9 | 3.8 | 0.8 |
S12 | 3.1 | 3.6 | 2.3 | 2.5 | 6.1 | 0.4 |
S13 | 4.2 | 3.8 | 3.7 | 3.9 | 3.9 | 0.9 |
S14 | 1.4 | 1.6 | 1.0 | 1.1 | 4.2 | 1.2 |
S15 | 0.6 | 1.3 | 1.2 | 2.2 | 1.5 | 1.0 |
平均值 | 1.3 | 1.5 | 1.2 | 1.4 | 3.4 | 0.9 |
重金属 | 各重金属间相关系数 | |||||
---|---|---|---|---|---|---|
Cu | Zn | Pb | Cr | Cd | As | |
Cu | 1.000 | |||||
Zn | 0.937** | 1.000 | ||||
Pb | 0.474 | 0.587* | 1.000 | |||
Cr | 0.468 | 0.666** | 0.398 | 1.000 | ||
Cd | 0.269 | 0.091 | -0.159 | 0.180 | 1.000 | |
As | 0.125 | 0.076 | 0.518* | 0.143 | -0.027 | 1.000 |
Table 4 Correlation matrix for heavy metals
重金属 | 各重金属间相关系数 | |||||
---|---|---|---|---|---|---|
Cu | Zn | Pb | Cr | Cd | As | |
Cu | 1.000 | |||||
Zn | 0.937** | 1.000 | ||||
Pb | 0.474 | 0.587* | 1.000 | |||
Cr | 0.468 | 0.666** | 0.398 | 1.000 | ||
Cd | 0.269 | 0.091 | -0.159 | 0.180 | 1.000 | |
As | 0.125 | 0.076 | 0.518* | 0.143 | -0.027 | 1.000 |
元素 | 不同的地累积指数和污染程度的站位比例/% | ||||||
---|---|---|---|---|---|---|---|
Igeo≤0,无 | 0<Igeo≤1, 轻度-中等 | 1<Igeo≤2,中等 | 2<Igeo≤3, 中等-强 | 3<Igeo≤4,强 | 4<Igeo≤5, 强-极严重 | Igeo>5,极严重 | |
Cu | 93.3 | 6.7 | 0 | 0 | 0 | 0 | 0 |
Zn | 73.3 | 26.7 | 0 | 0 | 0 | 0 | 0 |
Pb | 93.3 | 6.7 | 0 | 0 | 0 | 0 | 0 |
Cr | 93.3 | 6.7 | 0 | 0 | 0 | 0 | 0 |
Cd | 40 | 6.7 | 53.3 | 0 | 0 | 0 | 0 |
As | 93.3 | 6.7 | 0 | 0 | 0 | 0 | 0 |
Table 5 Results of pollution assessment of heavy metals
元素 | 不同的地累积指数和污染程度的站位比例/% | ||||||
---|---|---|---|---|---|---|---|
Igeo≤0,无 | 0<Igeo≤1, 轻度-中等 | 1<Igeo≤2,中等 | 2<Igeo≤3, 中等-强 | 3<Igeo≤4,强 | 4<Igeo≤5, 强-极严重 | Igeo>5,极严重 | |
Cu | 93.3 | 6.7 | 0 | 0 | 0 | 0 | 0 |
Zn | 73.3 | 26.7 | 0 | 0 | 0 | 0 | 0 |
Pb | 93.3 | 6.7 | 0 | 0 | 0 | 0 | 0 |
Cr | 93.3 | 6.7 | 0 | 0 | 0 | 0 | 0 |
Cd | 40 | 6.7 | 53.3 | 0 | 0 | 0 | 0 |
As | 93.3 | 6.7 | 0 | 0 | 0 | 0 | 0 |
站位 | 潜在生态危害指数Ei | 综合潜在生态 危害指数RI | |||||
---|---|---|---|---|---|---|---|
Cu | Zn | Pb | Cr | Cd | As | ||
S1 | 2.2 | 0.5 | 2.6 | 2.1 | 178.0 | 3.1 | 188.6 |
S2 | 5.1 | 1.2 | 3.8 | 2.3 | 120.5 | 7.8 | 140.7 |
S3 | 5.8 | 1.6 | 4.9 | 2.7 | 34.5 | 7.5 | 56.9 |
S4 | 0.6 | 0.1 | 1.1 | 0.4 | 23.3 | 0.5 | 26.0 |
S5 | 2.5 | 0.5 | 4.3 | 0.7 | 21.5 | 9.2 | 38.5 |
S6 | 4.8 | 1.1 | 3.0 | 2.0 | 139.8 | 4.0 | 154.6 |
S7 | 5.9 | 1.5 | 3.6 | 2.5 | 133.2 | 4.4 | 151.1 |
S8 | 5.9 | 1.6 | 10.8 | 2.4 | 85.6 | 15.8 | 122.0 |
S9 | 4.6 | 0.9 | 2.7 | 1.8 | 108.2 | 14.2 | 132.4 |
S10 | 2.4 | 0.7 | 4.7 | 1.5 | 36.7 | 7.7 | 53.7 |
S11 | 4.3 | 1.1 | 4.8 | 1.7 | 107.9 | 7.3 | 127.1 |
S12 | 7.5 | 2.0 | 5.5 | 2.5 | 93.1 | 1.8 | 112.4 |
S13 | 6.1 | 1.8 | 5.4 | 2.3 | 35.0 | 2.5 | 53.0 |
S14 | 5.7 | 1.3 | 4.1 | 1.8 | 108.6 | 10.2 | 131.6 |
S15 | 2.7 | 1.2 | 5.2 | 3.9 | 40.2 | 9.0 | 62.1 |
平均值 | 4.4 | 1.1 | 4.5 | 2.0 | 84.4 | 7.0 | 103.4 |
Table 6 Pollution coefficient (Ei) and ecological risk indexes (RI) for heavy metals in surface sediments in Lake Yunmeng
站位 | 潜在生态危害指数Ei | 综合潜在生态 危害指数RI | |||||
---|---|---|---|---|---|---|---|
Cu | Zn | Pb | Cr | Cd | As | ||
S1 | 2.2 | 0.5 | 2.6 | 2.1 | 178.0 | 3.1 | 188.6 |
S2 | 5.1 | 1.2 | 3.8 | 2.3 | 120.5 | 7.8 | 140.7 |
S3 | 5.8 | 1.6 | 4.9 | 2.7 | 34.5 | 7.5 | 56.9 |
S4 | 0.6 | 0.1 | 1.1 | 0.4 | 23.3 | 0.5 | 26.0 |
S5 | 2.5 | 0.5 | 4.3 | 0.7 | 21.5 | 9.2 | 38.5 |
S6 | 4.8 | 1.1 | 3.0 | 2.0 | 139.8 | 4.0 | 154.6 |
S7 | 5.9 | 1.5 | 3.6 | 2.5 | 133.2 | 4.4 | 151.1 |
S8 | 5.9 | 1.6 | 10.8 | 2.4 | 85.6 | 15.8 | 122.0 |
S9 | 4.6 | 0.9 | 2.7 | 1.8 | 108.2 | 14.2 | 132.4 |
S10 | 2.4 | 0.7 | 4.7 | 1.5 | 36.7 | 7.7 | 53.7 |
S11 | 4.3 | 1.1 | 4.8 | 1.7 | 107.9 | 7.3 | 127.1 |
S12 | 7.5 | 2.0 | 5.5 | 2.5 | 93.1 | 1.8 | 112.4 |
S13 | 6.1 | 1.8 | 5.4 | 2.3 | 35.0 | 2.5 | 53.0 |
S14 | 5.7 | 1.3 | 4.1 | 1.8 | 108.6 | 10.2 | 131.6 |
S15 | 2.7 | 1.2 | 5.2 | 3.9 | 40.2 | 9.0 | 62.1 |
平均值 | 4.4 | 1.1 | 4.5 | 2.0 | 84.4 | 7.0 | 103.4 |
[1] |
BRULAND K W, BERTINE K, KOIDE M, et al. History of metal pollution in southern California coastal zone[J]. Environmental Science & Technology, 1974, 8(5):425-432.
DOI URL |
[2] | 刘朋超, 麻泽浩, 魏鹏刚, 等. 长江流域重金属污染特征及综合防治研究进展[J]. 三峡生态环境监测, 2018, 3(3):33-37. |
[3] |
HILLER E, JURKOVIC L, ŠUTRIEPKA M , Metals in the surface sediments of selected water reservoirs, Slovakia[J]. Bulletin of Environmental Contamination and Toxicology, 2010, 84(5):635-640.
DOI URL |
[4] |
KAUSHIK A, KANSAL A, SANTOSH, , et al. Heavy metal contamination of river Yamuna, Haryana, India: assessment by metal enrichment factor of the sediments[J]. Journal of Hazardous Materials, 2009, 164(1):265-270.
DOI URL |
[5] |
GAO X L, ZHOU F X, CHEN C T A . Pollution status of the Bohai Sea: an overview of the environmental quality assessment related trace metals[J]. Environment International, 2014, 62:12-30.
DOI URL |
[6] |
MAN Y B, SUN X L, ZHAO Y G, et al. Health risk assessment of abandoned agricultural soils based on heavy metal contents in Hong Kong, the world’s most populated city[J]. Environment International, 2010, 36(6):570-576.
DOI URL |
[7] | 高建华, 李军, 王珍岩, 等. 鸭绿江河口及近岸地区沉积物中重金属分布的影响因素分析[J]. 地球化学, 2008, 37(5):430-438. |
[8] |
CHABUKDHARA M, NEMA A K. Heavy metals assessment in urban soil around industrial clusters in Ghaziabad, India: probabilistic health risk approach[J]. Ecotoxicology and Environmental Safety, 2013, 87:57-64.
DOI URL |
[9] |
JAIN C K. Metal fractionation study on bed sediments of River Yamuna, India[J]. Water Research, 2004, 38(3):569-578.
DOI URL |
[10] |
RAMAMOORTHY S, RUST B R. Heavy metal exchange processes in sediment-water systems[J]. Environmental Geology, 1978, 2(3):165-172.
DOI URL |
[11] | 柴小平, 胡宝兰, 魏娜, 等. 杭州湾及邻近海域表层沉积物重金属的分布、来源及评价[J]. 环境科学学报, 2015, 35(12):3906-3916. |
[12] |
AKCIL A, ERUST C, OZDEMIROGLU S, et al. A review of approaches and techniques used in aquatic contaminated sediments: metal removal and stabilization by chemical and biotechnological processes[J]. Journal of Cleaner Production, 2015, 86:24-36.
DOI URL |
[13] | 李梁, 胡小贞, 刘娉婷, 等. 滇池外海底泥重金属污染分布特征及风险评价[J]. 中国环境科学, 2010, 30(增刊1):46-51. |
[14] | 王蒙蒙, 宋刚福, 翟付杰, 等. 陆浑水库沉积物重金属空间分布特征及风险评价[J]. 环境科学学报, 2020, 40(4):1331-1339. |
[15] |
ZHANG C, YU Z G, ZENG G M, et al. Effects of sediment geochemical properties on heavy metal bioavailability[J]. Environment International, 2014, 73:270-281.
DOI URL |
[16] | 苏虹程, 单保庆, 唐文忠, 等. 海河流域典型清洁水系表层沉积物中重金属总体污染水平研究[J]. 环境科学学报, 2015, 35(9):2860-2866. |
[17] | 张兆永, 吉力力·阿不都外力, 姜逢清 . 艾比湖表层沉积物重金属的来源、污染和潜在生态风险研究[J]. 环境科学, 2015, 36(2):490-496. |
[18] | 温泉, 赵艳民, 曹伟, 等. 潮白河中游沉积物中重金属分布、来源及生态风险评估[J]. 环境科学研究, 2020, 33(3):599-607. |
[19] | 高炜程, 李修岭, 胡长伟, 等. 沂蒙山区大型水库水体悬浮物的时空变化[J]. 环境科学与技术, 2018, 41(增刊2):80-87. |
[20] | 刘妍. 临沂水源地(岸堤水库)水质现状调查与评价[D]. 青岛: 中国海洋大学, 2012. |
[21] | 庞珺. 云蒙湖水体富营养化综合防治技术模式及实施措施[J]. 山东农业大学学报(自然科学版), 2015, 46(6):902-907. |
[22] | 王雯雯. 云蒙湖库区水生态综合系统构建与修复[J]. 水利科学与寒区工程, 2018, 1(4):21-25. |
[23] |
DAVIDSON C M, THOMAS R P, MCVEY S E, et al. Evaluation of a sequential extraction procedure for the speciation of heavy metals in sediments[J]. Analytica Chimica Acta, 1994, 291(3):277-286.
DOI URL |
[24] | 冯素萍, 鞠莉, 沈永, 等. 沉积物中重金属形态分析方法研究进展[J]. 化学分析计量, 2006, 15(4):72-74. |
[25] | 李晶, 臧淑英, 宋延山, 等. 连环湖阿木塔泡沉积物中重金属形态及其对环境影响分析[J]. 环境科学与管理, 2009, 34(1):37-41. |
[26] | 黄光明, 周康民, 汤志云, 等. 土壤和沉积物中重金属形态分析[J]. 土壤, 2009, 41(2):201-205. |
[27] | MÜLLER G. Index of geoaccumulation in sediments of the Rhine River[J]. Geology Journal, 1969, 2:108-118. |
[28] |
SAKAN S M, DORDEVIC D S, MANOJLOVIC D D, et al. Assessment of heavy metal pollutants accumulation in the Tisza river sediments[J]. Journal of Environmental Management, 2009, 90(11):3382-3390.
DOI URL |
[29] | 庞绪贵, 代杰瑞, 陈磊, 等. 山东省17市土壤地球化学背景值[J]. 山东国土资源, 2019, 35(1):46-56. |
[30] |
YAN G, MAO L C, LIU S X, et al. Enrichment and sources of trace metals in roadside soils in Shanghai, China: a case study of two urban/rural roads[J]. Science of the Total Environment, 2018, 631/632:942-950.
DOI URL |
[31] |
HÅKANSON L. An ecological risk index for aquatic pollution control: a sedimentological approach[J]. Water Research, 1980, 14(8):975-1001.
DOI URL |
[32] |
VU C T, LIN C, SHERN C C, et al. Contamination, ecological risk and source apportionment of heavy metals in sediments and water of a contaminated river in Taiwan[J]. Ecological Indicators, 2017, 82:32-42.
DOI URL |
[33] | 张晓晶, 李畅游, 贾克力, 等. 乌梁素海表层沉积物重金属与营养元素含量的统计分析[J]. 环境工程学报, 2011, 5(9):1955-1960. |
[34] | 李军. 湘江长株潭段底泥重金属污染分析与评价[D]. 长沙: 湖南大学, 2008. |
[35] | 孔皓, 季高华, 张瑞雷, 等. 上海市中小型河道沉积物和水生植物中重金属累积特征研究[J]. 基因组学与应用生物学, 2018, 37(5):2096-2109. |
[36] | 周军, 高凤杰, 张宝杰, 等. 松花江表层沉积物有毒重金属污染的潜在生物毒性风险评价[J]. 环境科学学报, 2014, 34(10):2701-2708. |
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