生态环境学报 ›› 2022, Vol. 31 ›› Issue (2): 391-399.DOI: 10.16258/j.cnki.1674-5906.2022.02.020
收稿日期:
2021-08-18
出版日期:
2022-02-18
发布日期:
2022-04-14
通讯作者:
*苏超(1989年生),女,讲师,博士,主要从事污染物环境行为模拟和风险评价的研究。E-mail: suchao@sxu.edu.cn作者简介:
刘娣(1995年生),女,硕士研究生,主要从事污染生态学方面研究。E-mail: ld710816@163.com
基金资助:
LIU Di1(), SU Chao1,*(
), ZHANG Hong2, QIN Guanyu2
Received:
2021-08-18
Online:
2022-02-18
Published:
2022-04-14
摘要:
山西作为中国重要的煤炭能源基地,为中国经济作出巨大贡献的同时也造成了一系列的生态环境问题,例如土壤污染、地下水资源破坏、土地塌陷、水土流失等,给山西省的生态环境带来严峻的挑战。其中,土壤重金属污染(如Cr、As、Cd、Pb和Hg等)尤为突出,因此,研究煤炭产业聚集区土壤重金属的累积特征与风险评价对土壤修复具有重大意义。以山西长治市典型煤炭产业聚集区为研究区,系统解析不同类型企业(钢厂、采煤厂、选煤厂、洗煤厂、化工厂、焦化厂和燃煤电厂)周边土壤重金属元素的累积特征及差异性,采用内梅罗综合污染指数法和Hakanson潜在生态风险指数法评价不同类型企业周边土壤重金属的污染程度和生态风险,阐明土壤重金属污染的空间分布格局与扩散趋势。结果表明:研究区土壤中8种重金属Cr、Ni、Cu、Zn、As、Cd、Pb和Hg的平均含量分别为64.14、37.46、29.62、80.92、17.62、0.27、24.05和0.05 mg∙kg-1,均高于山西省土壤元素背景值;Cr、Ni、Cu和Zn在不同类型企业周边土壤中存在显著差异。生态风险评价结果表明,选煤厂、燃煤电厂、化工厂和钢厂周边土壤中重金属的内梅罗综合污染指数均达到重度污染,分别为4.63、3.30、9.12和3.58;化工厂周边土壤中重金属的生态风险指数最高,为589.53,属于强生态风险。空间分析表明,除As元素外,其他土壤重金属的浓度在空间上整体呈现出北部、中部高的分布格局;综合潜在生态风险指数IR和Hg的空间分布格局相似,高风险区集中在研究区西北部某燃煤电厂周边,属于强生态风险水平。该文的研究结果可为山西省的土壤重金属污染防治和修复提供重要的数据支撑。
中图分类号:
刘娣, 苏超, 张红, 秦冠宇. 典型煤炭产业聚集区土壤重金属污染特征与风险评价[J]. 生态环境学报, 2022, 31(2): 391-399.
LIU Di, SU Chao, ZHANG Hong, QIN Guanyu. Pollution Characteristics and Risk Assessment of Heavy Metal Pollution in A Typical Coal-based Industrial Cluster Zone[J]. Ecology and Environment, 2022, 31(2): 391-399.
等级 Grade | 单项重金属污染指数 Single heavy metal pollution index | 内梅罗综合污染指数 Nemerow comprehensive pollution index | 污染水平 Pollution level |
---|---|---|---|
1 | Pi ≤0.7 | PN≤0.7 | 安全 |
2 | 0.7<Pi ≤1.0 | 0.7<PN≤1.0 | 警戒线 |
3 | 1.0<Pi ≤2.0 | 1.0<PN≤2.0 | 轻污染 |
4 | 2.0<Pi ≤3.0 | 2.0<PN≤3.0 | 中污染 |
5 | Pi>3.0 | PN>3.0 | 重污染 |
表1 内梅罗综合污染指数等级划分标准1)
Table 1 Grading standard for Nemerow comprehensive pollution index
等级 Grade | 单项重金属污染指数 Single heavy metal pollution index | 内梅罗综合污染指数 Nemerow comprehensive pollution index | 污染水平 Pollution level |
---|---|---|---|
1 | Pi ≤0.7 | PN≤0.7 | 安全 |
2 | 0.7<Pi ≤1.0 | 0.7<PN≤1.0 | 警戒线 |
3 | 1.0<Pi ≤2.0 | 1.0<PN≤2.0 | 轻污染 |
4 | 2.0<Pi ≤3.0 | 2.0<PN≤3.0 | 中污染 |
5 | Pi>3.0 | PN>3.0 | 重污染 |
单项潜在生态风险指数 Single potential ecological risk Index | 综合潜在生态风险指数 Comprehensive potential ecological risk index | 生态风险水平 Ecological risk level |
---|---|---|
| IR <150 | 轻微生态风险 |
40≤ | 150≤ IR <300 | 中等生态风险 |
80≤ | 300≤ IR <600 | 强生态风险 |
160≤ | IR ≥600 | 很强生态风险 |
| 极强生态风险 |
表2 潜在生态风险指数等级划分标准1)
Table 2 Grading standard for Hakanson potential ecological risk index
单项潜在生态风险指数 Single potential ecological risk Index | 综合潜在生态风险指数 Comprehensive potential ecological risk index | 生态风险水平 Ecological risk level |
---|---|---|
| IR <150 | 轻微生态风险 |
40≤ | 150≤ IR <300 | 中等生态风险 |
80≤ | 300≤ IR <600 | 强生态风险 |
160≤ | IR ≥600 | 很强生态风险 |
| 极强生态风险 |
企业类型 Enterprise type | 参数 Parameter | Cr | Ni | Cu | Zn | As | Cd | Pb | Hg |
---|---|---|---|---|---|---|---|---|---|
钢厂 Steel plant (n=4) | Range | 41.76-66.49 | 31.90-43.67 | 24.75-35.05 | 84.50-225.87 | 13.22-16.64 | 0.20-0.50 | 18.77-38.73 | 0.05-0.17 |
Mean±SD | 57.53±11.49b | 38.24±5.19b | 29.64±4.25b | 104.13±19.06a | 14.37±1.61a | 0.32±0.13a | 28.32±9.5a | 0.10±0.05a | |
CV | 19.97% | 13.58% | 14.35% | 18.31% | 11.20% | 41.06% | 33.52% | 50.42% | |
采煤厂 Coal mining plant (n=30) | Range | 42.36-99.46 | 26.49-51.38 | 19.65-41.36 | 49.83-112.37 | 8.26-44.57 | 0.12-0.89 | 10.85-40.85 | 0.01-0.23 |
Mean±SD | 65.66±11.59b | 36.91±5.9b | 29.35 ±5.15b | 77.49±15.67b | 18.32±9.26a | 0.26±0.14a | 22.27±6.3a | 0.04±0.04a | |
CV | 17.65% | 15.99% | 17.56% | 20.22% | 50.56% | 53.84% | 28.33% | 92.95% | |
选煤厂 Coal preparation plant (n=7) | Range | 45.57-73.12 | 30.18-39.9 | 22.16-36.02 | 59.74-106.68 | 10.16-18.24 | 0.19-0.33 | 18.17-393.87 | 0.01-0.07 |
Mean±SD | 57.14±9.28b | 35.35±4.42b | 28.66±5.96b | 82.71±17.80b | 14.66±2.90a | 0.25±0.06a | 24.45±5.32a | 0.05±0.02a | |
CV | 16.24% | 12.52% | 20.81% | 21.52% | 19.77% | 23.78% | 21.76% | 36.82% | |
洗煤厂 Coal cleaning plant (n=5) | Range | 41.05-64.99 | 26.51-34.43 | 22.39-33.59 | 54.28-213.86 | 9.53-14.57 | 0.18-0.44 | 16.65-55.41 | 0.02-0.11 |
Mean±SD | 52.61±8.68b | 30.91±3.16b | 26.21±4.78b | 62.08±8.05ab | 12.11±2.04a | 0.29±0.10a | 25.07±16.9a | 0.06±0.04a | |
CV | 16.49% | 10.21% | 18.24% | 12.97% | 16.84% | 36.17% | 67.68% | 62.23% | |
化工厂 Chemical plant (n=8) | Range | 43.13-68.55 | 22.44-50.29 | 17.42-39.47 | 43.81-114.56 | 14.26-30.46 | 0.11-0.42 | 15.03-32.65 | 0.01-1.80 |
Mean±SD | 56.91±11.11b | 38.31±9.15b | 29.82±7.02b | 85.39±25.56b | 17.83±5.37a | 0.24±0.10a | 22.61±6.16a | 0.04±0.06a | |
CV | 19.53% | 23.88% | 23.53% | 29.93% | 30.14% | 41.73% | 27.26% | 71.97% | |
焦化厂 Coking plant (n=5) | Range | 57.06-109.00 | 38.00-61.55 | 28.18-52.25 | 69.26-244.32 | 16.03-27.86 | 0.18-0.46 | 20.54-66.17 | 0.02-0.07 |
Mean±SD | 86.54±19.53a | 50.44±9.20a | 39.34±9.10a | 105.72±31.58a | 21.79±4.60a | 0.31±0.12a | 35.33±18.01a | 0.05±0.02a | |
CV | 22.56% | 18.23% | 23.13% | 29.87% | 21.13% | 38.32% | 50.97% | 36.02% | |
燃煤电厂 Coal-fired power plant (n=8) | Range | 53.96-102.22 | 29.08-50.33 | 23.050-335.26 | 62.00-100.01 | 10.62-38.85 | 0.15-0.32 | 11.91-27.71 | 0.01-0.31 |
Mean±SD | 68.33±16.73b | 36.12±7.80b | 27.33±4.25b | 76.04±13.57b | 19.86±11.14a | 0.25±0.06a | 22.05±5.57a | 0.08±0.10a | |
CV | 24.48% | 21.59% | 15.55% | 17.84% | 56.10% | 24.65% | 25.27% | 124.43% | |
长治市 Changzhi City (n=67) | Range | 41.05-109.00 | 22.44-61.55 | 17.42-52.25 | 43.81-44.32 | 8.26-44.57 | 0.11-0.89 | 10.85-393.87 | 0.01-1.80 |
Mean±SD | 64.14±14.45 | 37.46±7.51 | 29.62±6.17 | 80.92±19.93 | 17.62±7.90 | 0.27±0.12 | 24.05±9.08 | 0.05±0.04 | |
CV | 22.53% | 20.03% | 20.83% | 24.63% | 44.81% | 43..62% | 37.75% | 89.64% | |
山西省背景值 Background value of Shanxi Province | 55.30 | 29.90 | 22.90 | 63.50 | 9.10 | 0.102 | 14.70 | 0.023 | |
筛选值① Risk screening values | 250 | 190 | 100 | 300 | 25 | 0.6 | 170 | 3.4 | |
韶关燃煤电厂 (杨子鹏等, Coal-fired power plants in Shaoguan | 96.61 | 17.79 | 19.59 | 159.08 | 21.48 | 3.14 | 111.01 | — | |
宁东燃煤电厂 (罗成科等, Coal-fired power plants in Ningdong | 58.79 | — | — | — | 8.39 | 0.54 | 23.86 | 0.48 | |
包头煤矿 (宓展盛, Coal mines in Baotou | — | — | 25.38 | 331.04 | — | 0.97 | 169.37 | 0.38 | |
乌拉特后旗煤矿 (Song et al., Coal mines in Urad Houqi | 40.78 | — | — | — | 18.57 | 0.88 | 70.40 | 0.04 |
表3 典型煤炭产业聚集区周边土壤重金属的描述性统计特征
Table 3 Descriptive statistical characteristics of heavy metals in soils surrounding typical coal-based industrial cluster zone mg∙kg-1
企业类型 Enterprise type | 参数 Parameter | Cr | Ni | Cu | Zn | As | Cd | Pb | Hg |
---|---|---|---|---|---|---|---|---|---|
钢厂 Steel plant (n=4) | Range | 41.76-66.49 | 31.90-43.67 | 24.75-35.05 | 84.50-225.87 | 13.22-16.64 | 0.20-0.50 | 18.77-38.73 | 0.05-0.17 |
Mean±SD | 57.53±11.49b | 38.24±5.19b | 29.64±4.25b | 104.13±19.06a | 14.37±1.61a | 0.32±0.13a | 28.32±9.5a | 0.10±0.05a | |
CV | 19.97% | 13.58% | 14.35% | 18.31% | 11.20% | 41.06% | 33.52% | 50.42% | |
采煤厂 Coal mining plant (n=30) | Range | 42.36-99.46 | 26.49-51.38 | 19.65-41.36 | 49.83-112.37 | 8.26-44.57 | 0.12-0.89 | 10.85-40.85 | 0.01-0.23 |
Mean±SD | 65.66±11.59b | 36.91±5.9b | 29.35 ±5.15b | 77.49±15.67b | 18.32±9.26a | 0.26±0.14a | 22.27±6.3a | 0.04±0.04a | |
CV | 17.65% | 15.99% | 17.56% | 20.22% | 50.56% | 53.84% | 28.33% | 92.95% | |
选煤厂 Coal preparation plant (n=7) | Range | 45.57-73.12 | 30.18-39.9 | 22.16-36.02 | 59.74-106.68 | 10.16-18.24 | 0.19-0.33 | 18.17-393.87 | 0.01-0.07 |
Mean±SD | 57.14±9.28b | 35.35±4.42b | 28.66±5.96b | 82.71±17.80b | 14.66±2.90a | 0.25±0.06a | 24.45±5.32a | 0.05±0.02a | |
CV | 16.24% | 12.52% | 20.81% | 21.52% | 19.77% | 23.78% | 21.76% | 36.82% | |
洗煤厂 Coal cleaning plant (n=5) | Range | 41.05-64.99 | 26.51-34.43 | 22.39-33.59 | 54.28-213.86 | 9.53-14.57 | 0.18-0.44 | 16.65-55.41 | 0.02-0.11 |
Mean±SD | 52.61±8.68b | 30.91±3.16b | 26.21±4.78b | 62.08±8.05ab | 12.11±2.04a | 0.29±0.10a | 25.07±16.9a | 0.06±0.04a | |
CV | 16.49% | 10.21% | 18.24% | 12.97% | 16.84% | 36.17% | 67.68% | 62.23% | |
化工厂 Chemical plant (n=8) | Range | 43.13-68.55 | 22.44-50.29 | 17.42-39.47 | 43.81-114.56 | 14.26-30.46 | 0.11-0.42 | 15.03-32.65 | 0.01-1.80 |
Mean±SD | 56.91±11.11b | 38.31±9.15b | 29.82±7.02b | 85.39±25.56b | 17.83±5.37a | 0.24±0.10a | 22.61±6.16a | 0.04±0.06a | |
CV | 19.53% | 23.88% | 23.53% | 29.93% | 30.14% | 41.73% | 27.26% | 71.97% | |
焦化厂 Coking plant (n=5) | Range | 57.06-109.00 | 38.00-61.55 | 28.18-52.25 | 69.26-244.32 | 16.03-27.86 | 0.18-0.46 | 20.54-66.17 | 0.02-0.07 |
Mean±SD | 86.54±19.53a | 50.44±9.20a | 39.34±9.10a | 105.72±31.58a | 21.79±4.60a | 0.31±0.12a | 35.33±18.01a | 0.05±0.02a | |
CV | 22.56% | 18.23% | 23.13% | 29.87% | 21.13% | 38.32% | 50.97% | 36.02% | |
燃煤电厂 Coal-fired power plant (n=8) | Range | 53.96-102.22 | 29.08-50.33 | 23.050-335.26 | 62.00-100.01 | 10.62-38.85 | 0.15-0.32 | 11.91-27.71 | 0.01-0.31 |
Mean±SD | 68.33±16.73b | 36.12±7.80b | 27.33±4.25b | 76.04±13.57b | 19.86±11.14a | 0.25±0.06a | 22.05±5.57a | 0.08±0.10a | |
CV | 24.48% | 21.59% | 15.55% | 17.84% | 56.10% | 24.65% | 25.27% | 124.43% | |
长治市 Changzhi City (n=67) | Range | 41.05-109.00 | 22.44-61.55 | 17.42-52.25 | 43.81-44.32 | 8.26-44.57 | 0.11-0.89 | 10.85-393.87 | 0.01-1.80 |
Mean±SD | 64.14±14.45 | 37.46±7.51 | 29.62±6.17 | 80.92±19.93 | 17.62±7.90 | 0.27±0.12 | 24.05±9.08 | 0.05±0.04 | |
CV | 22.53% | 20.03% | 20.83% | 24.63% | 44.81% | 43..62% | 37.75% | 89.64% | |
山西省背景值 Background value of Shanxi Province | 55.30 | 29.90 | 22.90 | 63.50 | 9.10 | 0.102 | 14.70 | 0.023 | |
筛选值① Risk screening values | 250 | 190 | 100 | 300 | 25 | 0.6 | 170 | 3.4 | |
韶关燃煤电厂 (杨子鹏等, Coal-fired power plants in Shaoguan | 96.61 | 17.79 | 19.59 | 159.08 | 21.48 | 3.14 | 111.01 | — | |
宁东燃煤电厂 (罗成科等, Coal-fired power plants in Ningdong | 58.79 | — | — | — | 8.39 | 0.54 | 23.86 | 0.48 | |
包头煤矿 (宓展盛, Coal mines in Baotou | — | — | 25.38 | 331.04 | — | 0.97 | 169.37 | 0.38 | |
乌拉特后旗煤矿 (Song et al., Coal mines in Urad Houqi | 40.78 | — | — | — | 18.57 | 0.88 | 70.40 | 0.04 |
单项重金属风险评价指数 Single heavy metal risk assessment index | Cr | Ni | Cu | Zn | As | Cd | Pb | Hg | |
---|---|---|---|---|---|---|---|---|---|
内梅罗单项污染指数 Nemerow single pollution index | Pi -max | 1.97 焦化厂 | 2.06 焦化厂 | 2.28 焦化厂 | 3.85 焦化厂 | 4.90 采煤厂 | 8.73 采煤厂 | 26.79 选煤厂 | 78.18 化工厂 |
| 1.15 轻污染 | 1.27 轻污染 | 1.31 轻污染 | 1.53 轻污染 | 1.87 轻污染 | 2.69 中污染 | 2.26 中污染 | 4.08 重污染 | |
单项潜在生态风险指数 Single potential ecological risk index | | 3.13 焦化厂 | 8.44 焦化厂 | 8.59 焦化厂 | 2.12 钢厂 | 23.95 焦化厂 | 94.12 钢厂 | 26.27 选煤厂 | 476.07 化工厂 |
| 2.30 轻微 | 6.36 轻微 | 6.56 轻微 | 1.53 轻微 | 18.67 轻微 | 80.66 强 | 11.32 轻微 | 163.26 很强 |
表4 不同类型企业周边土壤重金属单项风险指数评价结果
Table 4 Assessment results of single risk index of heavy metals in soils surrounding different types of enterprises
单项重金属风险评价指数 Single heavy metal risk assessment index | Cr | Ni | Cu | Zn | As | Cd | Pb | Hg | |
---|---|---|---|---|---|---|---|---|---|
内梅罗单项污染指数 Nemerow single pollution index | Pi -max | 1.97 焦化厂 | 2.06 焦化厂 | 2.28 焦化厂 | 3.85 焦化厂 | 4.90 采煤厂 | 8.73 采煤厂 | 26.79 选煤厂 | 78.18 化工厂 |
| 1.15 轻污染 | 1.27 轻污染 | 1.31 轻污染 | 1.53 轻污染 | 1.87 轻污染 | 2.69 中污染 | 2.26 中污染 | 4.08 重污染 | |
单项潜在生态风险指数 Single potential ecological risk index | | 3.13 焦化厂 | 8.44 焦化厂 | 8.59 焦化厂 | 2.12 钢厂 | 23.95 焦化厂 | 94.12 钢厂 | 26.27 选煤厂 | 476.07 化工厂 |
| 2.30 轻微 | 6.36 轻微 | 6.56 轻微 | 1.53 轻微 | 18.67 轻微 | 80.66 强 | 11.32 轻微 | 163.26 很强 |
[1] |
HAKANSON L, 1980. An ecological risk index for aquatic pollution control. A sedimentological approach[J]. Water Research, 14(8): 975-1001.
DOI URL |
[2] |
QU M K, WANG Y, HUANG B, et al., 2018. Source apportionment of soil heavy metals using robust absolute principal component scores-robust geographically weighted regression (RAPCS-RGWR) receptor model[J]. Science of the Total Environment, 626: 203-210.
DOI URL |
[3] |
SONG S, LI Y J, LI L, et al., 2018. Arsenic and heavy metal accumulation and risk assessment in soils around mining areas: The Urad Houqi area in arid Northwest China as an example[J]. International Journal of Environmental Research and Public Health, DOI: 10.3390/ijerph 15112410.
DOI |
[4] | 曹人升, 范明毅, 黄先飞, 等, 2017. 金沙燃煤电厂周围土壤有机质与重金属分析[J]. 环境化学, 36(02): 397-407. |
CAO R S, FAN M Y, HAUNG X F, et al., 2017. Analysis of organic matter and heavy metals in soils around the coal-fired power plant in Jinsha[J]. Environmental Chemistry, 36(2): 397-407. | |
[5] | 常文静, 李枝坚, 周妍姿, 等, 2020. 深圳市不同功能区土壤表层重金属污染及其综合生态风险评价[J]. 应用生态学报, 31(3): 999-1007. |
CHANG W J, LI Z J, ZHOU Y Z, et al., 2020. Heavy metal pollution and comprehensive ecological risk assessment of surface soil in different functional areas of Shenzhen, China[J]. Chinese Journal of Applied Ecology, 31(3): 999-1007. | |
[6] | 陈轶楠, 马建华, 张永清, 2015. 晋南某钢铁厂及周边土壤重金属污染与潜在生态风险[J]. 生态环境学报, 24(9): 1540-1546. |
CHEN Y N, MA J H, ZHANG Y Q, 2015. Pollution and potential ecological risk assessment of soil heavy metals in and around a steel plant in the south of Shanxi, China[J]. Ecology and Environment Sciences, 24(9): 1540-1546. | |
[7] | 陈展, 吴育林, 张刚, 2021. 上海市某大型再开发场地土壤重金属污染特征评价及来源分析[J]. 水土保持通报, 41(1): 227-236. |
CHEN Z, WU Y L, ZHANG G, 2021. Pollution characteristics, assessment, and source analysis of soil heavy metals in large-scale redevelopment site in Shanghai city[J]. Bulletin of Soil and Water Conservation, 41(1): 227-236. | |
[8] | 戴彬, 吕建树, 战金成, 等, 2015. 山东省典型工业城市土壤重金属来源空间分布及潜在生态风险评价[J]. 环境科学, 36(2): 507-515. |
DAI B, LU J S, ZHAN J C, et al., 2015. Assessment of sources, spatial distribution and ecological risk of heavy metals in soils in a typical industry-based city of Shandong province, Eastern China[J]. Environmental Science, 36(2): 507-515. | |
[9] | 范明毅, 杨皓, 黄先飞, 等, 2016. 典型山区燃煤型电厂周边土壤重金属形态特征及污染评价[J]. 中国环境科学, 36(8): 2425-2436. |
FAN M Y, YANG H, HUANG X F, et al., 2016. Chemical forms and risk assessment of heavy metals in soils around a typical coal-fired power plant located in the mountainous area[J]. China Environmental Science, 36(8): 2425-2436. | |
[10] | 冯春婷, 2018. 典型煤炭型城市重金属污染特征和健康风险评价[D]. 长沙: 湖南大学. |
FENG C T, 2018. Contamination characteristics and health risk assessment of heavy metals in a typical coal mine city[D]. Changsha: Hunan University. | |
[11] | 冯乙晴, 刘灵飞, 肖辉林, 等, 2017. 深圳市典型工业区土壤重金属污染特征及健康风险评价[J]. 生态环境学报, 26(6): 1051-1058. |
FENG Y Q, LIU L F, XIAO H L, et al., 2017. Pollution characteristics and health risk assessment of heavy metals in soil of typical industrial district of Shenzhen[J]. Ecology and Environmental Sciences, 26(6): 1051-1058. | |
[12] | 顾高铨, 万小铭, 曾伟斌, 等, 2021. 焦化场地内外土壤重金属空间分布及驱动因子差异分析[J]. 环境科学, 42(3): 1081-1092. |
GU G Q, WAN X M, ZENG W B, et al., 2021. Analysis of the spatial distribution of heavy metals in soil from a coking plant and its driving factors[J]. Environmental Science, 42(3): 1081-1092. | |
[13] | 郭佩, 米美霞, 郭昕懿, 等, 2019. 长治市城区道路绿地表层土壤理化性质研究[J]. 山西农业科学, 47(4): 635-640. |
GUO P, MI M X, GUO X Y, et al., 2019. Study on soil physical and chemical properties of road green space in urban area of Changzhi city[J]. Journal of Shanxi Agricultural Sciences, 47(4): 635-640. | |
[14] | 韩琳, 徐夕博, 2020. 基于PMF模型及地统计的土壤重金属健康风险定量评价[J]. 环境科学, 41(11): 5114-5124. |
HAN L, XU X B, 2020. Quantitative evaluation of human health risk of heavy metals in soils based on Positive Matrix Factorization model and geostatistics[J]. Environmental Science, 41(11): 5114-5124.
DOI URL |
|
[15] | 何博, 赵慧, 王铁宇, 等, 2019. 典型城市化区域土壤重金属污染的空间特征与风险评价[J]. 环境科学, 40(6): 2869-2876. |
HE B, ZHAO H, WANG T Y, et al., 2019. Spatial distribution and risk assessment of heavy metals in soils from a typical urbanized area[J]. Environmental Science, 40(6): 2869-2876. | |
[16] | 李有文, 王晶, 巨天珍, 等, 2017. 白银市不同功能区土壤重金属污染特征及其健康风险评价[J]. 生态学杂志, 36(5): 1408-1418. |
LI Y W, WANG J, JU T Z, et al., 2017. Heavy metal pollution characteristics and human health risk assessment in soils from different functional areas of Baiyin, Gansu, China[J]. Chinese Journal of Ecology, 36(5): 1408-1418. | |
[17] | 刘春早, 黄益宗, 雷鸣, 等, 2011. 重金属污染评价方法 (TCLP) 评价资江流域土壤重金属生态风险[J]. 环境化学, 30(9): 1582-1589. |
LIU C Z, HUANG Y Z, LEI M, et al., 2011. Assessment of ecological risks of heavy metal contaminated soils in the Zijiang River region by Toxicity Characteristic Leaching Procedure[J]. Environmental Chemistry, 30(9): 1582-1589. | |
[18] | 刘芳, 塔西甫拉提·特依拜, 依力亚斯江·努尔麦麦提, 等, 2016. 准东煤炭产业区周边土壤重金属污染与健康风险的空间分布特征[J]. 环境科学, 37(12): 4815-4829. |
LIU F, TASHPOLAT T, LLYAS N, et al., 2016. Spatial distribution characteristics of heavy metal pollution and health risk in soil around the coal industrial area of East Junggar Basin[J]. Environmental Science, 37(12): 4815-4829. | |
[19] | 刘硕, 吴泉源, 曹学江, 等, 2016. 龙口煤矿区土壤重金属污染评价与空间分布特征[J]. 环境科学, 37(1): 270-279. |
LIU S, WU Q Y, CAO X J, et al., 2016. Pollution assessment and spatial distribution characteristics of heavy metals in soils of coal mining area in Longkou city[J]. Environmental Science, 37(1): 270-279. | |
[20] | 刘勇, 岳玲玲, 李晋昌, 2011. 太原市土壤重金属污染及其潜在生态风险评价[J]. 环境科学学报, 31(6): 1285-1293. |
LIU Y, YUE L L, LI J C, 2011. Evaluation of heavy metal contamination and its potential ecological risk to the soil in Taiyuan, China[J]. Acta Scientiae Circumstantiae, 31(6): 1285-1293. | |
[21] | 罗成科, 张佳瑜, 肖国举, 等, 2018. 宁东基地不同燃煤电厂周边土壤5种重金属元素污染特征及生态风险[J]. 生态环境学报, 27(7): 1285-1291. |
LUO C K, ZHANG J Y, XIAO G J, et al., 2018. Pollution characteristics and ecological assessment of heavy metals in soil around different coal-fired power plants of Ningdong Base[J]. Ecology and Environment Sciences, 27(7): 1285-1291. | |
[22] | 宓展盛, 2020. 白云鄂博矿区重金属污染对酶活性和微生物生态多样性的影响[D]. 包头: 内蒙古科技大学. |
MI Z S, 2020. Effects of heavy metal pollution on enzyme activity and microbial ecological diversity in Bayan Obo mining area[D]. Baotou: Inner Mongolia University of Science and Technology. | |
[23] |
彭驰, 何亚磊, 郭朝晖, 等, 2021. 中国主要城市土壤重金属累积特征与风险评价[J]. 环境科学, DOI: 10.13227/j.hjkx.202103054.
DOI |
PENG C, HE Y L, GUO C H, et al., 2021. Characteristics and risk assessment of heavy metals in urban soils of major cities in China[J]. Environmental Science, DOI: 10.13227/j.hjkx.202103054.
DOI |
|
[24] | 任虹, 郭东罡, 上官铁梁, 等, 2009. 长治市生态环境敏感性评价及其空间分布[J]. 安徽农业科学, 37(20): 9624-9628. |
REN H, GUO D G, SHANG G T L, et al., 2009. Eco-environmental sensitivity and its spatial distribution in Changzhi city[J]. Journal of Anhui Agricultural Sciences, 37(20): 9624-9628. | |
[25] | 沈城, 刘馥雯, 吴健, 等, 2020. 再开发利用工业场地土壤重金属含量分布及生态风险[J]. 环境科学, 41(11): 5125-5132. |
SHEN C, LIU F W, W J, et al., 2020. Distribution and ecological risk of heavy metals in the soil of redevelopment industrial sites[J]. Environmental Science, 41(11): 5125-5132. | |
[26] | 史崇文, 赵玲芝, 郭新波, 等, 1996. 山西省土壤元素背景值的分布规律及其影响因素[J]. 农业环境保护, 15(1): 24-28. |
SHI C W, ZHAO L Z, GUO X P, et al., 1996. Distribution of soil element background value and its influencing factors in Shanxi province[J]. Agro-environmental Protection, 15(1): 24-28. | |
[27] | 孙雪菲, 张丽霞, 董玉龙, 等, 2021. 典型石化工业城市土壤重金属源解析及空间分布模拟[J]. 环境科学, 42(3): 1093-1104. |
SUN X F, ZHANG L X, DONG Y L, et al., 2021. Source apportionment and spatial distribution simulation of heavy metals in a typical petrochemical industrial city[J]. Environmental Science, 42(3): 109-1104. | |
[28] | 王斐, 黄益宗, 王小玲, 等, 2015. 江西钨矿周边土壤重金属生态风险评价:不同评价方法的比较[J]. 环境化学, 34(2): 225-233. |
WANG F, HUANG Y Z, WANG X L, et al., 2015. Ecological risk assessment of heavy metals in surrounding soils of Tungsten Ores: comparison of different evaluation methods[J]. Environmental Chemistry, 34(2): 225-233. | |
[29] | 王硕, 王湛, 魏文侠, 等, 2019. 某钢铁厂土壤重金属砷空间分布特征分析[J]. 环境保护科学, 45(3): 110-114. |
WANG S, WANG Z, WEI W X, et al., 2019. Analysis of spatial distribution characteristics of arsenic in soil of a steel plant[J]. Environmental Protection Science, 45(3): 110-114. | |
[30] | 吴劲楠, 龙健, 刘灵飞, 等, 2018. 某铅锌矿区农田重金属分布特征及其风险评价[J]. 中国环境科学, 38(3): 1054-1063. |
WU J N, LONG J, LIU L F, et al., 2018. Spatial distribution and risk assessment of heavy metal pollution in farmland soil of a lead-zinc mining area[J]. China Environmental Science, 38(3): 1054-1063. | |
[31] | 杨子鹏, 肖荣波, 陈玉萍, 等, 2020. 华南地区典型燃煤电厂周边土壤重金属分布、风险评估及来源分析[J]. 生态学报, 40(14): 4823-835. |
YANG Z P, XIAO R C, CHEN Y P, et al., 2020. Heavy metal distribution, risk assessment and source analysis of soil around a typical coal-fired power plant in South China[J]. Acta Ecologica Sinica, 40(14): 4823-4835. | |
[32] | 姚春卉, 宁曙光, 武波, 等, 2020. 青岛市新兴工业园区土壤重金属污染特征[J]. 中国科技论文, 15(9): 1050-1057. |
YAO C H, NING S G, WU B, et al., 2020. Heavy metals pollution characteristics of soil in a new industrial district of Qingdao city[J]. China Science Paper, 15(9): 1050-1057. | |
[33] | 易文利, 董奇, 杨飞, 等, 2018. 宝鸡市不同功能区土壤重金属污染特征、来源及风险评价[J]. 生态环境学报, 27(11): 2142-2149. |
YI W L, DONG Q, YANG F, et al., 2018. Pollution characteristics, sources analysis and potential ecological risk assessment of heavy metals in different functional zones of Baoji city[J]. Ecology and Environment Sciences, 27(11): 2142-2149. | |
[34] | 袁新田, 张春丽, 孙倩, 等, 2011. 宿州市煤矿区农田土壤重金属含量特征[J]. 环境化学, 30(8): 1451-1455. |
YUAN X T, ZHANG C L, SUN Q, et al., 2011. Characteristics of heavy metal concentrations in soil Around coal mining area in Suzhou city[J]. Environmental Chemistry, 30(8): 1451-1455. | |
[35] | 张凯, 2018. 典型煤化工厂区土壤中重金属污染时空分布及其风险评价[D]. 北京: 中国矿业大学 (北京). |
ZHANG K, 2018. Temporal and spatial distribution and risk assessment of heavy metal pollution in modern coal chemical plant[D]. Beijing: China University of Mining and Technology (Beijing). | |
[36] | 郑睛之, 王楚栋, 王诗涵, 等, 2018. 典型小城市土壤重金属空间异质性及其风险评价: 以临安市为例[J]. 环境科学, 39(6): 2875-2883. |
ZHENG Q Z, WANG C D, WANG S H, et al., 2018. Spatial variation of soil heavy metals in Lin’an city and its potential risk evaluation[J]. Environmental Science, 39(6): 2875-2883. | |
[37] | 中国环境监测总站, 1997. 土壤质量铅、镉的测定石墨炉原子吸收分光光度法: GB/T 17141-1997 [S]. 北京. |
China National Environmental Monitoring Centre, 1997. Soil quality-Determination of lead, cadmium-Graphite furnace atomic absorption spectrophotometry: GB/T 17141-1997 [S]. Beijing. | |
[38] | 中华人民共和国环境保护部, 2013. 土壤和沉积物汞、砷、硒、铋、锑的测定微波消解/原子荧光法: HJ 680-2013 [S]. 北京: 中国环境科学出版社. |
Ministry of Environmental Protection of the People's Republic of China, 2013. Soil and sedimen-etermination of mercury, arsenic,selenium, bismuth, antimony-Microwave dissolution/Atomic Fluorescence Spectrometry: HJ 680-2013 [S]. Beijing: China Environmental Science Press. | |
[39] | 中华人民共和国生态环境部, 2018. 土壤环境质量农用地土壤污染风险管控标准(试行): GB 15618-2018 [S]. 北京: 中国环境科学出版社. |
Ministry of Ecology and Environment of the People's Republic of China, 2018. Soil environmental quality Risk control standard for soil contamination of agricultural land (Trial): GB 15618-2018 [S]. Beijing: China Environmental Science Press. | |
[40] | 中华人民共和国生态环境部, 2019. 土壤和沉积物铜、 锌、铅、镍、铬的测定火焰原子吸收分光光度法: HJ 491-2019 [S]. 北京: 中国环境出版集团. |
Ministry of Ecology and Environment of the People's Republic of China, 2019. Soil and sediment-Determination of copper, zinc, lead, nickel and chromium-Flame atomic absorption spectrophotometry: HJ 491-2019 [S]. Beijing: China Environment Publishing Group. | |
[41] | 周怡, 2020. 江苏省高速公路周边土壤重金属污染特征及风险评估研究[D]. 扬州: 扬州大学. |
ZHOU Y, 2020. Study on pollution characteristics and risk assessment of heavy metals in soils around highway in Jiangsu province[D]. Yangzhou: Yangzhou University. | |
[42] | 周怡, 胡文友, 黄标, 等, 2020. 我国高速公路周边土壤重金属污染现状及研究进展[J]. 中国环境监测, 36(5): 112-120. |
ZHOU Y, HU W Y, HUANG B, et al., 2020. Current Status and research progress of heavy metal pollution in soils surrounding highways of China[J]. Environmental Monitoring in China, 36(5): 112-120. |
[1] | 董智今, 张呈春, 展秀丽, 张维福. 宁夏河东沙地生物土壤结皮及其下伏土壤养分的空间分布特征[J]. 生态环境学报, 2023, 32(5): 910-919. |
[2] | 杨春亮, 刘旻霞, 王千月, 苗乐乐, 肖音迪, 王敏. 单户与联户放牧经营下草玉梅与嵩草种群空间格局及其关联性[J]. 生态环境学报, 2023, 32(4): 651-659. |
[3] | 陈敏毅, 朱航海, 佘伟铎, 尹光彩, 黄祖照, 杨巧玲. 珠三角某遗留造船厂场地土壤重金属人体健康风险评估及源解析[J]. 生态环境学报, 2023, 32(4): 794-804. |
[4] | 肖洁芸, 周伟, 石佩琪. 土壤重金属含量高光谱反演[J]. 生态环境学报, 2023, 32(1): 175-182. |
[5] | 吴胜义, 王飞, 徐干君, 马浩, 党禹杰, 吴菲. 川西北高山峡谷区森林碳储量及空间分布研究--以四川洛须自然保护区为例[J]. 生态环境学报, 2022, 31(9): 1735-1744. |
[6] | 王默雷, 李智慧, 陈来国, 郭送军, 刘明, 王硕, 陆海涛. 城市垃圾焚烧厂烟气及周边土壤中多溴联苯醚的污染特征[J]. 生态环境学报, 2022, 31(8): 1582-1589. |
[7] | 樊珂宇, 高原, 赖子尼, 曾艳艺, 刘乾甫, 李海燕, 麦永湛, 杨婉玲, 魏敬欣, 孙金辉, 王超. 珠三角河网鱼类微塑料污染特征研究[J]. 生态环境学报, 2022, 31(8): 1590-1598. |
[8] | 石文静, 周翰鹏, 孙涛, 黄金涛, 杨文焕, 李卫平. 矿区周边土壤重金属污染优先控制因子及健康风险评价研究[J]. 生态环境学报, 2022, 31(8): 1616-1628. |
[9] | 李秀华, 赵玲, 滕应, 骆永明, 黄标, 刘冲, 刘本乐, 赵其国. 贵州汞矿区周边农田土壤汞镉复合污染特征空间分布及风险评估[J]. 生态环境学报, 2022, 31(8): 1629-1636. |
[10] | 朱丽, 闫怀忠, 孙友敏, 范晶, 刘光辉, 张桂芹. 山东典型重工业区降尘污染特征及成因分析[J]. 生态环境学报, 2022, 31(7): 1393-1399. |
[11] | 施建飞, 靳正忠, 周智彬, 王鑫. 额尔齐斯河流域典型尾矿库区周边土壤重金属污染评价[J]. 生态环境学报, 2022, 31(5): 1015-1023. |
[12] | 陈雪泉, 孔彬, 兰青, 余志铨, 谢银斯, 黄俊毅. 胶黏剂生产行业VOCs组分特征及臭氧生成潜势分析[J]. 生态环境学报, 2022, 31(4): 750-758. |
[13] | 温智峰, 魏识广, 李林, 叶万辉, 练琚愉. 南亚热带常绿阔叶林植物不同分类水平上的空间分布格局及空间关联[J]. 生态环境学报, 2022, 31(3): 440-450. |
[14] | 张楷悦, 刘增辉, 王颜昊, 王敬宽, 崔德杰, 柳新伟. 黄河三角洲自然保护区土壤PAHs的风险评估和空间特征[J]. 生态环境学报, 2022, 31(11): 2198-2205. |
[15] | 谢邵文, 郭晓淞, 杨芬, 黄强, 陈曼佳, 魏兴琥, 刘承帅. 广州市城市公园土壤重金属累积特征、形态分布及其生态风险[J]. 生态环境学报, 2022, 31(11): 2206-2215. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||