Spatial Distribution Characteristics and Influencing Factors of Soil Lead in Jieyang City, Guangdong Province

doi:10.19657/j.geoscience.1000-8527.2021.24

Abstract

Abstract:

Taking the soil in Jieyang City as the research object, 1,330 surface soil samples (0-20 cm) and 331 deep soil samples (>150 cm) were collected, and the Pb content in soil was determined. GIS spatial ana-lysis technology, semivariogram fitting and variance analysis were used to study the spatial structure, distribution characteristics and influencing factors of soil Pb content. The results showed that there was no obvious Pb pollution in Jieyang city, and the average Pb content in surface soil was 39.26 mg/kg, which was lower than the background value of Pb in Jieyang City (43.71 mg/kg) and slightly higher than that in Guangdong Province (36.00 mg/kg). Enrichment factors showed that the enrichment degree of Pb in the surface soil of the study area is mainly no enrichment and slight enrichment, accounting for 52.11% and 42.63%, respectively, and Pb enrichment is not significant; The spatial distribution of Pb in the surface soil of the study area showed mode-rate autocorrelation. The Pb high value areas of surface soil are mainly distributed in the eastern and southern parts where human activities have a strong influence. According to the classification statistics of land use, soil parent material, soil type and its physical and chemical properties, the Pb content in surface soil of woodland and unused land is the highest; The Pb content in the soil formed by shale weathering is significantly higher than that of other soil-forming parent materials; Pb content in yellow soil is relatively high; Organic carbon and pH were positively correlated with Pb content in soil.

Key words: soil, lead, spatial distribution, influencing factors, Jieyang City

CLC Number:

P595
X142

ZANG Chuanzi, WEN Hanhui, CAI Limei, LUO Jie, XU Shubang, MEI Jingxian. Spatial Distribution Characteristics and Influencing Factors of Soil Lead in Jieyang City, Guangdong Province[J]. Geoscience, 2021, 35(05): 1425-1432.

Figures/Tables 10

References 35

[1]	吴舜泽, 孙宁, 卢然, 等. 重金属污染综合防治实施进展与经验分析[J]. 中国环境管理, 2015, 7(1):21-28.
[2]	NEEDLEMAN H. Lend poisoning[J]. Annual Review of Medicine, 2004, 55(1):209-222. DOI URL
[3]	NGUETA G, PREVOST M, DESHOMMES E, et al. Exposure of young children to household water lead in the Montreal area (Ca-nada): The potential influence of winter to-summer changes in water lead levels on children’s blood lead concentration[J]. Environment International, 2014, 73:57-65. DOI URL
[4]	THOMPSON M R, BURDON A, BOEKELHEIDE K. Practice-based evidence informs environmental health policy and regulation: A case study of residential lead-soil contamination in Rhode Island[J]. Science of the Total Environment, 2014, 468/469:514-522 DOI URL
[5]	ORLOVA A O, BANNON D I, FARFEL M R, et al. Pilot study of sources of lead exposure in Moscow, Russia[J]. Environmental Geochemistry and Health, 1995, 17(4):200-210. DOI URL
[6]	GODWIN H A. The biological chemistry of lead[J]. Current Opinion in Chemical Biology, 2001, 5(2):223-227. DOI URL
[7]	ZHOU J, DU B, HU Y, et al. A new criterion for the health risk assessment of Se and Pb exposure to residents near a smelter[J]. Environmental Pollution, 2019, 244:218-227. DOI URL
[8]	徐芹磊, 陈炎辉, 谢团辉, 等. 铅锌矿区农田土壤重金属污染现状与评价[J]. 环境科学与技术, 2018, 41(2):176-182.
[9]	陆轶明. 食品中重金属铅污染状况和检测技术[J]. 食品安全导刊, 2018(12): 58,60.
[10]	FACCHINELLI A, SACCHI E, MALLEN L. Multivariate statistical and GIS-based approach to identify heavy metal sources in soils[J]. Environmental Pollution, 2001, 114:313-324. DOI URL
[11]	郭广慧, 张航程, 彭颖. 基于GIS的宜宾城市土壤Pb含量空间分布特征及污染评价[J]. 环境科学学报, 2011, 31(1):164-171.
[12]	杨国义, 张天彬, 万洪富, 等. 广东省典型区域农业土壤中重金属污染空间差异及原因分析[J]. 土壤, 2007, 39(3):387-392.
[13]	江东鹏, 张宝春. 粤东揭阳市环境污染控制对策研究[J]. 环境科学与管理, 2010, 35(10):43-45.
[14]	中国地质调查局. 多目标区域地球化学调查规范(DD2005—01)[EB/OL].(2005-10-01) [2019-03-10]http://www.doc88.com/p-5495876006057.html.
[15]	田瑜. 粉末压片制样X射线荧光光谱法测定土壤中的几种重金属[J]. 安阳工学院学报, 2018, 17(6):24-27.
[16]	雷志栋, 杨诗秀, 许志荣, 等. 土壤特性空间变异性初步研究[J]. 水利学报, 1985(9):10-21.
[17]	李娟娟, 马金涛, 楚秀娟, 等. 应用地积累指数法和富集因子法对铜矿区土壤重金属污染的安全评价[J]. 中国安全科学学报, 2006, 16(12):135-139,170.
[18]	HASAN A B, KABIR S, REZA A S, et al. Enrichment factor and geo-accumulation index of trace metals in sediments of the ship breaking area of Sitakund Upazilla (Bhatiary-Kumira), Chittagong, Bangladesh[J]. Journal of Geochemical Exploration, 2013, 125:130-137. DOI URL
[19]	FANG G C, WU Y S, CHANG S Y, et al. Size distributions of ambient air particles and enrichment factor analyses of metallic elements at Taichung Harbor near the Taiwan Strait[J]. Atmospheric Research, 2006, 81(4):320-333. DOI URL
[20]	HARIS H, ARIS A Z. The geoaccumulation index and enrichment factor of mercury in mangrove sediment of Port Klang, Selangor, Malaysia[J]. Arabian Journal of Geosciences, 2013, 6(11):4119-4128. DOI URL
[21]	JIANG Y, CHAO S, LIU J, et al. Source apportionment and health risk assessment of heavy metals in soil for a township in Jiangsu Province, China[J]. Chemosphere, 2017, 168(12):1658-1668. DOI URL
[22]	SUTHERLAND R. Bed sediment-associated trace metals in an urban stream, Oahu, Hawaii[J]. Environmental Geology, 2000, 39(6):611-627. DOI URL
[23]	靳诚, 陆玉麒. 基于县域单元的江苏省经济空间格局演化[J]. 地理学报, 2009, 64(6):713-724.
[24]	蔡立梅, 马瑾, 周永章, 等. 珠江三角洲典型区农业土壤镍的空间结构及分布特征[J]. 中山大学学报(自然科学版), 2008, 47(4):100-104.
[25]	舒彦军, 张立亭. 求解半变异函数的常用方法与新方法研究[J]. 测绘与空间地理信息, 2012, 35(5):24-27.
[26]	CAMBARDELLA C, MOORMAN T, PARKIN T, et al. Field-scale variability of soil properties in central Iowa soils[J]. Soil Science Society of America Journal, 1994, 58(5):1501-1511. DOI URL
[27]	陈怀满. 土壤-植物系统中的重金属污染[M]. 北京: 科学出版社, 1991: 210-213.
[28]	刘丽萍, 乙小娟, 杨雪芬. 合成染料中金属元素的ICP测定结果分析[J]. 预防医学情报杂志, 2001, 17(2):96-97.
[29]	张正洁, 李东红, 徐增贵. 我国铅污染现状、原因及对策[J]. 环境保护科学, 2005, 31(4):41-42,47.
[30]	吴文斌, 杨鹏, 唐华俊. 土地利用对土壤性质影响的区域差异研究[J]. 中国农业科学, 2007, 40(8):1697-1702.
[31]	周琴, 姜军, 徐仁扣. Cu(Ⅱ)、Pb(Ⅱ)和Cd(Ⅱ)在红壤胶体和非胶体颗粒上吸附的比较[J]. 土壤学报, 2018, 55(1):131-138.
[32]	赵其国. 水稻土的类型特征及其管理[J]. 土壤, 1992, 24(4):169-175.
[33]	陈茂林, 马楫. pH变化对污泥中重金属Pb·Ni形态及迁移性的影响[J]. 安徽农业科学, 2011, 39(26):16063-16065.
[34]	胡宁静, 骆永明, 宋静, 等. 长江三角洲地区典型土壤对铅的吸附及其与有机质、pH和温度的关系[J]. 土壤学报, 2010, 47(2):246-252.
[35]	李军, 张玉龙, 陈维新. 有机质对土壤铅吸附特性的影响[J]. 沈阳农业大学学报, 1992, 23(专辑):38-42.

EF	Pb富集程度	样品数占比/%
≤1	无富集	52.11
1~2	轻微富集	42.63
2~5	中度富集	5.11
5~20	显著富集	0.15
20~40	强烈富集	0
>40	极强富集	0

EF	Pb富集程度	样品数占比/%
≤1	无富集	52.11
1~2	轻微富集	42.63
2~5	中度富集	5.11
5~20	显著富集	0.15
20~40	强烈富集	0
>40	极强富集	0

类型	表层土壤			深层土壤
类型	样品数	均值	变幅	样品数	均值	变幅
第四纪沉积物	354	41.27^b	6.50~136.00	86	37.20^c	5.90~97.10
粉砂岩	134	35.37^c	12.00~85.10	36	42.28b^c	15.00~135.00
花岗岩	713	38.83^c	9.80~199.80	171	46.26^b	5.90~221.00
凝灰岩	119	39.67^c	11.40~267.00	34	40.56^c	16.10~166.00
页岩	10	48.03^a	26.30~93.60	4	191.21^a	56.90~1 345.00
林地及未利用地	641	40.89^a	9.90~130.20	167	49.22^a	16.10~ 1 345.00
建筑用地	350	38.07^b	6.50~199.80	93	35.69^c	5.90~149.0
农耕用地	339	37.42^b	11.60~267.00	71	42.33^b	15.00~130.00
水稻土	471	41.35^b	8.90~199.80	121	44.48^b	15.70~161.00
赤红壤	813	39.18^b	9.80~267.00	199	45.98^b	13.90~1 345.00
黄壤	20	43.21^a	21.20 ~122.70	3	53.07^a	40.30 ~70.00
风沙土	26	14.22^c	6.50~45.10	8	12.64^c	6.70~34.80

类型	表层土壤			深层土壤
类型	样品数	均值	变幅	样品数	均值	变幅
第四纪沉积物	354	41.27^b	6.50~136.00	86	37.20^c	5.90~97.10
粉砂岩	134	35.37^c	12.00~85.10	36	42.28b^c	15.00~135.00
花岗岩	713	38.83^c	9.80~199.80	171	46.26^b	5.90~221.00
凝灰岩	119	39.67^c	11.40~267.00	34	40.56^c	16.10~166.00
页岩	10	48.03^a	26.30~93.60	4	191.21^a	56.90~1 345.00
林地及未利用地	641	40.89^a	9.90~130.20	167	49.22^a	16.10~ 1 345.00
建筑用地	350	38.07^b	6.50~199.80	93	35.69^c	5.90~149.0
农耕用地	339	37.42^b	11.60~267.00	71	42.33^b	15.00~130.00
水稻土	471	41.35^b	8.90~199.80	121	44.48^b	15.70~161.00
赤红壤	813	39.18^b	9.80~267.00	199	45.98^b	13.90~1 345.00
黄壤	20	43.21^a	21.20 ~122.70	3	53.07^a	40.30 ~70.00
风沙土	26	14.22^c	6.50~45.10	8	12.64^c	6.70~34.80