Spatial Variability of Steppe Soil Heavy Metal Content and Contamination Assessment: A Case Study of Daqing City and the Surrounding Areas, China

doi:10.11733/j.issn.1007-0435.2016.01.002

Acta Agrestia Sinica ›› 2016, Vol. 24 ›› Issue (1): 12-21.DOI: 10.11733/j.issn.1007-0435.2016.01.002

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Spatial Variability of Steppe Soil Heavy Metal Content and Contamination Assessment: A Case Study of Daqing City and the Surrounding Areas, China

ZHANG Ji-zhou¹, YU Zhi-min¹, SUN Tao^2,3, WANG Li-min¹, LV Pin^1,4

1. Institute of Natural Resources and Ecology Heilongjiang Academy of Sciences, National and Provincial Joint Engineering Laboratory of Wetlands and Ecological Conservation, Harbin, Heilongjiang Province 150040, China;
2. College of Resources and Environment, Northeast Agricultural University, Harbin, Heilongjiang Province 150030, China;
3. Suihua Meteorological Bureau, Suihua, Heilongjiang Province 152000, China;
4. College of Life Science, Northeast Agricultural University, Harbin, Heilongjiang Province 150030, China.

Received:2015-01-13 Revised:2015-06-24 Online:2016-02-15 Published:2016-04-26

草原土壤重金属含量空间变异与污染评价——以大庆市及周边地区为例

张继舟¹, 于志民¹, 孙涛^2,3, 王立民¹, 吕品^1,4

1. 黑龙江省科学院自然与生态研究所湿地与生态保育国家地方联合工程实验室, 黑龙江哈尔滨 150040;
2. 东北农业大学资源与环境学院, 黑龙江哈尔滨150030;
3. 绥化市气象局, 黑龙江绥化市152000;
4. 东北农业大学生命科学学院, 黑龙江哈尔滨150030

通讯作者: 吕品
作者简介:张继舟(1980-),男,吉林省吉林市人,硕士,副研究员,主要从事土壤环境的研究工作,E-mail:jizhou1980229@126.com
基金资助:
黑龙江省科技攻关项目(GC12C205);黑龙江省科学院青年创新基金重点项目;黑龙江省院所基本应用技术研究专项项目(STJB2015-4);黑龙江省科学院科学研究基金项目;哈尔滨市创新人才专项基金项目(2015RAQYJ052)资助

Abstract

Abstract:

Soil heavy metal pollution is a potential hazardous factor to grassland ecology health. Given this, studies focused on heavy metal content, spatial variability and the degree of contamination in soil of Daqing city and the surrounding areas are fresh. In the study, contents of Cd, Cr, Pb, Cu, Zn, Ni, Hg and As in the steppe soil of Daqing city and the surrounding areas were analyzed after field investigation. The spatial variability of those heavy metal elements mentioned above and their pollution potential in the region were evaluated by using geo-statistics combined with classic heavy metal pollution assessment methods. The results showed that: Heavy metal contents varied in middle level in terms of spatial distribution in the soil with variation coefficients ranged from 28.3% to 58.5%, eight kinds of heavy metal elements could be simulated through exponential model, Gauss model and spherical model. Indexes C₀/(C₀+C) of Cd, Cr, Pb, Cu, Zn, Ni and As were in the range of 25%~75% showing that the contents were determined by structural factors, such as soil parent material, topography and the factors of non-structural , such as human activities, while C₀/(C₀+C) of Hg was more than 75% indicating that they were mainly affected by the factors of non-structural and human activities. The distribution pattern of heavy metal content in the region presented as patchy, banded,point and island modes. Contents of the eight kinds of heavy metal elements in the soil of the region showed a trend of accumulation. However, content of 23.7% and 1.7% sampling points of As and Ni were above the soil threshold levels of the Second Grade criteria of "the Chinese environmental quality standard" (GB 15618-1995). There was the mild pollution risk of As in the soil of the region as showed in the Geo-accumulation index, whereas there was no pollution risk of other tested elements. No potential risk was detected for eight kinds of heavy metals analyzed by the single factor ecological risk index and the total potential ecological risk index. Heavy metal contents of soil in Daqing city and the surrounding areas had the spatial variation of moderate intensity. Though individual heavy metal elements exceeded the soil threshold levels of the Second Grade criteria of "the Chinese environmental quality standard" (GB 15618-1995), overall the soil quality is good.

Key words: Geo-statistics, Heavy metal pollution, Steppe soil, Index of geo-accumulation, Index of potential ecological risk

摘要：

重金属是危害草原生态健康的主要污染物之一,迄今有关大庆市及周边地区草原土壤重金属含量、空间变异和污染程度的研究鲜见报道。本文通过野外调查采样,应用地统计学,结合经典重金属污染评价方法,分析了大庆市及周边地区草原土壤Cd,Cr,Pb,Cu,Zn,Ni,Hg及As含量的空间变异与污染程度,结果表明:研究区8种重金属含量具有中等空间异质性,变异系数在28.3%~58.5%。8种重金属元素可以用指数模型、高斯模型和球状模型拟合,Cd,Cr,Pb,Cu,Zn,Ni和As的块金值/基台值[C₀/(C₀+C)]在25%~75%,其空间变异由结构性变异(母质、地形等)和非结构性因素(人类活动)共同引起,Hg的[C₀/(C₀+C)]>75%,即非结构性因素对其的影响大。土壤重金属含量呈斑块状、条带状、点状和环岛状分布特征。研究区8种重金属的超背景值率较高,表现为累积的特征。As和Ni的分别有23.7%和1.7%的采样点重金属含量超过《国家土壤环境质量标准》(GB15618-1995)2级标准限值。地积累指数评价表明,As存在轻度污染风险,其他重金属无单因子污染风险。潜在生态风险评价表明,8种重金属元素均不存在潜在生态风险。大庆市及周边地区草原土壤重金属呈现空间中等强度变异,个别重金属元素存在超标现象,土壤质量整体良好。

关键词: 地统计学, 重金属污染, 草原土壤, 地积累指数, 潜在生态风险指数

CLC Number:

ZHANG Ji-zhou, YU Zhi-min, SUN Tao, WANG Li-min, LV Pin. Spatial Variability of Steppe Soil Heavy Metal Content and Contamination Assessment: A Case Study of Daqing City and the Surrounding Areas, China[J]. Acta Agrestia Sinica, 2016, 24(1): 12-21.

张继舟, 于志民, 孙涛, 王立民, 吕品. 草原土壤重金属含量空间变异与污染评价——以大庆市及周边地区为例[J]. 草地学报, 2016, 24(1): 12-21.

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References

[1] Brockerhoff E G, Jactel H, Parrotta J A, et al. Plantation forests and biodiversity: Oxymoron or opportunity[J]. Biodiversity and Conservation,2008,17(5):925-951
[2] Yuko I, Satoru M, Shuichiro Y. Atmospheric lead and cadmium deposition within forests in the Kanto district, Japan[J]. Journal of Forest Research,2006,11(2):137-142
[3] 殷淑华,高博,李强,等. ICP-MS在城市道路尘土中非常规监测微量元素污染评价中的应用[J]. 光谱学与光谱分析,2013,33(12):3396-3401
[4] 曾希柏,徐建明,黄巧云,等. 中国农田重金属问题的若干思考[J]. 土壤学报,2013,50(1):186-193
[5] 赵淑苹,陈立新. 大庆地区不同土地利用类型土壤重金属分析及生态危害评价[J]. 水土保持学报,2011,25(5):195-199
[6] Schmitt C J, Brumbaugh W G, May T W. Accumulation of metals in fish from lead- zinc mining areas of southeastern Missouri, USA[J]. Ecotoxicology and Environmental Safety, 2007,67(1):14-30
[7] Gowd S S, Reddy R M, Govil P K. Assessment of heavily metal contamination in soils at Jajmau (Kanpur) and Unnao industrial areas of the Ganga Plain, Uttar Pradesh, India[J]. Journal of Hazardous Materials,2010,174(1-3):113-121
[8] Chuan P L, Chun L L, Yun G, et al. Arsenic contamination and potential health risk implications at an abandoned tungsten mine, southern China[J]. Environmental Pollution,2010,158(3):820-826
[9] Ping Z, Murray B, McBride, et al. Health risk from heavy metals via consumption of food crops in the vicinity of Dabaoshan mine, South China[J]. Science of the Total Environment,2009,407(5):1551-1561
[10] Wahsha M, Bini C, Argese E, et al. Heavy metals accumulation in willows growing on Spolic Technosols from the abandoned imperina valley mine in Italy[J]. Journal of Geochemical Exploration,2012,123(1):19-24
[11] Eduardo M J, Jesus M P, Rebeca M, et al. Heavy metals distribution in soils surrounding an abandoned mine in NW Madrid (Spain) and their transference to wild flora[J]. Journal of Hazardous Materials,2009,162(2-3):854-859
[12] Khan S, Cao Q, Zheng Y M, et al. Health risks of heavy metals in contaminated soils and food crops irrigated with wastewater in Beijing, China[J]. Environmental Pollution,2008,152(3):686-692
[13] 龙安华,刘建军,倪才英,等. 贵溪冶炼厂周边农田土壤重金属污染特性及评价[J]. 土壤通报,2006,37(6):1212-1217
[14] 赵秀峰,王强盛,石宁宁,等. 石化园区周边农田土壤重金属污染分析与评价[J]. 环境科学学报,2010,30(1):133-141
[15] Zhao Y F , Shi X Z, Huang B,et al. Spatial distribution of heavy metals in agricultural soils of an industry-based peri-urban area in Wuxi, China[J]. Pedosphere,2007,17(1):44-51
[16] Luo C L, Liu C P, Wang Y, et al. Heavy metal contamination in soils and vegetables near an e-waste processing site, south China[J]. Journal of Hazardous Materials,2011,186(1):481-490
[17] Thilo H, Andreas D, Maria-Theresia S. Importance of the nugget effect in variography on modeling zinc leaching from a contaminated site using simulated annealing[J]. Journal of Hydrology,2010,389(1-2):78-89
[18] Liu P, Zhao H J, Wang L L, et al. Analysis of heavy metal sources for vegetable soils from Shandong province, China[J]. Agricultural Sciences in China,2011,10(1):109-119
[19] Lu A X, Wang J H, Qin X Y, et al. Multivariate and geostatistical analyses of the spatial distribution and origin of heavy metals in the agricultural soils in Shunyi, Beijing, China[J]. Science of the Total Environment,2012,425(1):66-74
[20] 康志文,白红玉. 论制定草原环境保护规范的必要性[J]. 内蒙古环境保护,2005,17(1):65-66
[21] 辛蕊,张思冲,周晓聪,等. 大庆城区土壤重金属污染及相关性分析[J]. 中国农学通报,2008,24(9):416-420
[22] 顾延富,梁健,肖红,等. 大庆油田落地原油对土壤污染的研究[J]. 环境科学与管理,2007,32(9):50-52
[23] 孙海燕,郭伟. 大庆地区油井周围土壤重金属污染的初步研究[J]. 黑龙江八一农垦大学学报,2008,2(3):15-16
[24] 钟晓兰,周生路,李江涛,等. 经济快速发展区土壤重金属累积评价[J].环境科学,2010,31(6):1608-1616
[25] Lars H. An ecological risk index for aquatic pollution control: a sediment logical approach[J]. Water Research,1980,14(8):975-1001
[26] 毛志刚,谷孝鸿,陆小明,等. 太湖东部不同类型湖区疏浚后沉积物重金属污染及潜在生态风险评价[J]. 环境科学,2014,35(1):186-193
[27] 中国环境监测总站. 中国土壤元素背景值[M]. 北京:中国环境出版社,1990
[28] 国家环境保护局. GB15618-1995土壤环境质量标准[S]. 北京:中国标准出版社,1997
[29] 王政权. 地统计学及其在生态学中的应用[M]. 北京:科学出版社,1999
[30] 黄昌勇. 土壤学[M]. 北京:中国农业出版社,2000
[31] 张立生. 中国石油的丰碑[M]. 广州:中山大学出版社,2011
[32] 王登启. 设施菜地土壤重金属的分布特征与生态风险评价研究[D]. 泰安:山东农业大学,2008

Spatial Variability of Steppe Soil Heavy Metal Content and Contamination Assessment: A Case Study of Daqing City and the Surrounding Areas, China

草原土壤重金属含量空间变异与污染评价——以大庆市及周边地区为例

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