Accumulation Characteristics, Geochemical Fractions Distribution and Ecological Risk of Heavy Metals in Soils of Urban Parks in Guangzhou, China

doi:10.16258/j.cnki.1674-5906.2022.11.012

Ecology and Environment ›› 2022, Vol. 31 ›› Issue (11): 2206-2215.DOI: 10.16258/j.cnki.1674-5906.2022.11.012

• Research Articles • Previous Articles Next Articles

Accumulation Characteristics, Geochemical Fractions Distribution and Ecological Risk of Heavy Metals in Soils of Urban Parks in Guangzhou, China

XIE Shaowen¹^,²^,³(), GUO Xiaosong¹, YANG Fen⁵, HUANG Qiang¹, CHEN Manjia³, WEI Xinghu¹, LIU Chengshuai²^,³^,⁴^,^*()

1. School of Environmental and Chemical Engineering, Foshan University, Foshan 528000, P. R. China
2. Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, P. R. China
3. National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China/Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management/Institute of Eco-environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, P. R. China
4. State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, P. R. China
5. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P. R. China

Received:2022-05-12 Online:2022-11-18 Published:2022-12-22
Contact: LIU Chengshuai

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

谢邵文¹^,²^,³(), 郭晓淞¹, 杨芬⁵, 黄强¹, 陈曼佳³, 魏兴琥¹, 刘承帅²^,³^,⁴^,^*()

1.佛山科学技术学院，广东佛山 528000
2.岭南现代农业科学与技术广东省实验室，广东广州 510642
3.广东省科学院生态环境与土壤研究所/华南土壤污染控制与修复国家地方联合工程研究中心/广东省农业环境综合治理重点实验室，广东广州 510650
4.中国科学院地球化学研究所/环境地球化学国家重点实验室，贵州贵阳 550001
5.中国科学院地理科学与资源研究所/陆地表层格局与模拟重点实验室，北京 100101

通讯作者: 刘承帅
作者简介:谢邵文（1990年生），男，讲师，研究方向为流域面源污染控制和重金属环境风险评价。E-mail: xiesw@fosu.edu.cn
基金资助:
岭南现代农业科学与技术广东省实验室科研项目(NZ2021026);广东省科学院建设国内一流研究机构行动专项资金项目(2020GDASYL-20200301003);广东省科学院建设国内一流研究机构行动专项资金项目(2020GDASYL-20200103083);国家重点研发计划项目(2020YFC1808500)

Abstract

Abstract:

Soil environmental quality of urban parks has an important impact on urban green development and residents' health. In order to understand the contents, geochemical fractions distribution characteristics and ecological risk of heavy metals in soils of urban parks in Guangzhou, the surface soils of typical urban parks in the core urban area of Guangzhou was taken as the object, and the contents of six heavy metals including Pb, Cd, Cr, Cu, Zn and Ni were systematically analyzed. The distribution characteristics of heavy metals in exchangeable fraction (F1), carbonate fraction (F2), Fe/Mn oxides fraction (F3), organic matter fraction (F4) and residual fraction (F5) were analyzed by Tessier’s extraction method. At the same time, the ecological risk of heavy metals in the soils of urban parks was assessed and discussed through the rations of secondary phase and primary phase (RSP) and risk assessment code (RAC) method. The results showed that (1) the average contents of Pb, Cr, Cu, Zn, Ni and Cd in urban park soils of Guangzhou were 64.71 mg·kg^-1, 58.55 mg·kg^-1, 37.59 mg·kg^-1, 131.04 mg·kg^-1, 23.16 mg·kg^-1 and 0.54 mg·kg^-1, respectively. The single factor index method was used to analyze the accumulation characteristics of heavy metals. It was found that Pb, Cr, Cu, Zn and Ni in urban park soils were light pollution, only some areas were moderately polluted, while Cd contamination was heavy. (2) The geochemical fractions analysis of heavy metals showed that there were great differences in the geochemical fractions distribution of different heavy metals. Specifically, Pb, Cr, Cu, Zn and Ni were mainly in the residual fraction and Fe/Mn oxides fraction, while Cd was mainly in the exchangeable fraction and Fe/Mn oxides fraction. The differences in the geochemical fractions distribution of heavy metals also reflected the differences in the migration characteristics and potential environmental risks of heavy metals. (3) The calculation results of RSP and RAC showed that the ecological risk of Cd in urban park soils in Guangzhou was significantly higher than that of other heavy metals. The ecological risk of heavy metals showed the following order: Cd>Zn>Cu>Pb>Ni>Cr. In terms of spatial distribution, the ecological risk of Cd in the central part of the core urban area (Tianhe District, Baiyun District and Huangpu District) is relatively high. In summary, the main heavy metal pollutant in the soils of parks in the core urban area of Guangzhou is Cd, and its ecological risk is much higher than that of other heavy metals. Attention should be paid to the green development and soil environmental risk management of cities in the Guangdong-Hong Kong-Macao Greater Bay Area in the future.

Key words: Guangzhou city, urban parks, soil environment, heavy metals, geochemical fractions, ecological risk assessment

摘要：

城市公园土壤环境质量对城市绿色发展和居民健康均有重要影响。为了解广州市城市公园土壤中重金属含量、形态分布特征及其生态风险情况，以广州市核心城区典型城市公园表层土壤为对象，系统分析了土壤中Pb、Cd、Cr、Cu、Zn和Ni等6种重金属的含量；运用Tessier连续提取法分析重金属的可交换态（F1）、碳酸盐结合态（F2）、铁锰氧化态（F3）、有机态（F4）和残渣态（F5）等5种重金属形态的分布特征；同时运用次生相与原生相比值法（RSP）和风险评价编码法（RAC）对城市公园表层土壤重金属的生态风险进行了评估与讨论。结果表明，（1）广州市城市公园土壤中Pb、Cr、Cu、Zn、Ni和Cd的平均含量依次为64.71、58.55、37.59、131.04、23.16和0.54 mg·kg^-1。运用单因子指数法分析重金属累积特征发现，城市公园土壤中Pb、Cr、Cu、Zn和Ni为轻污染，仅部分区域为中污染，而Cd为重污染。（2）重金属形态分析表明不同重金属的形态分布特征存在较大的差异，Pb、Cr、Cu、Zn和Ni以残渣态和铁锰氧化态为主，而Cd以可交换态和铁锰氧化态为主。重金属形态分布的异质性也在一定程度上反映了重金属的迁移特性及其潜在环境风险的差异。（3）次生相与原生相比值法和风险指数编码法计算结果均表明广州市城市公园表层土壤中Cd的生态风险显著高于其他重金属，生态风险强弱顺序为Cd>Zn>Cu>Pb>Ni>Cr；空间分布上，核心城区中部（天河区、白云区和黄埔区）Cd的生态风险相对较高。综上所述，广州市核心城区城市公园表层土壤的主要重金属污染物为Cd，其生态风险远高于其他重金属，在今后粤港澳大湾区城市绿色发展及土壤环境风险管控中应当引起重视。

关键词: 广州市, 城市公园, 土壤环境, 重金属, 形态分布, 生态风险评价

CLC Number:

X53
X820.4

XIE Shaowen, GUO Xiaosong, YANG Fen, HUANG Qiang, CHEN Manjia, WEI Xinghu, LIU Chengshuai. Accumulation Characteristics, Geochemical Fractions Distribution and Ecological Risk of Heavy Metals in Soils of Urban Parks in Guangzhou, China[J]. Ecology and Environment, 2022, 31(11): 2206-2215.

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.

Figures/Tables 8

References 33

[1]	GU Y G, GAO Y P, 2018. Bioaccessibilities and health implications of heavy metals in exposed-lawn soils from 28 urban parks in the megacity Guangzhou inferred from an in vitro physiologically-based extraction test[J]. Ecotoxicology and Environmental Safety, 148: 747-753. DOI URL
[2]	JAIN C K, 2004. Metal fractionation study on bed sediments of river Yamuna, India[J]. Water Research, 38(3): 569-578. PMID
[3]	LI X D, THORNTON I, 2001. Chemical partitioning of trace and major elements in soils contaminated by mining and smelting activities[J]. Applied Geochemistry, 16(15): 1693-1706. DOI URL
[4]	TESSIER A, CAMPBELL P G, BISSON M, 1979. Sequential extraction procedure for the speciation of particulate trace metals[J]. Analytical Chemistry, 51(7): 844-851. DOI URL
[5]	XIE S W, YANG F, FENG H X, et al., 2019. Assessment of potential heavy metal contamination in the peri-urban agricultural soils of 31 provincial capital cities in China[J]. Environmental Management, 64(3): 366-380. DOI PMID
[6]	柴世伟, 温琰茂, 张亚雷, 等, 2006. 广州市郊区农业土壤重金属污染评价分析[J]. 环境科学研究, 19(4): 138-142.
	CHAI S W, WEN Y M, ZHANG Y L, et al., 2006. Evaluation on the pollution of agricultural soil heavy metal in Guangzhou city[J]. Research of Environmental Sciences, 19(4): 138-142.
[7]	陈丹青, 谢志宜, 张雅静, 等, 2016. 基于PCA/APCS和地统计学的广州市土壤重金属来源解析[J]. 生态环境学报, 25(6): 1014-1022.
	CHEN D Q, XIE Z Y, ZHANG Y J, et al., 2016. Source apportionment of soil heavy metals in Guangzhou based on the PCA/APCS model and geostatistics[J]. Ecology and Environmental Sciences, 25(6): 1014-1022.
[8]	陈海珍, 龚春生, 李文立, 等, 2010. 广州市不同功能区土壤重金属污染特征及评价[J]. 环境与健康杂志, 27(8): 700-703.
	CHEN H Z, GONG C S, LI W L, et al., 2010. Characteristic and Evaluation of Soil Pollution by Heavy Metal in Different Functional Zones of Guangzhou[J]. Journal of Environment and Health, 27(8): 700-703.
[9]	陈俊坚, 张会化, 刘鉴明, 等, 2011. 广东省区域地质背景下土壤表层重金属元素空间分布特征及其影响因子分析[J]. 生态环境学报, 20(4): 646-651.
	CHEN J J, ZHANG H H, LIU J M, et al., 2011. Spatial distributions and controlled factors of heavy metals in surface soils in Guangdong based on the regional geology[J]. Ecology and Environmental Sciences, 20(4): 646-651.
[10]	陈晓燕, 范成五, 瞿飞, 等, 2017. 土壤重金属污染评价方法概述[J]. 浙江农业科学, 58(10): 1801-1804, 1810.
	CHEN X Y, FAN C W, QU F, et al., 2017. Overview of the evaluation methods of heavy metal pollution in soil[J]. Journal of Zhejiang Agricultural Science, 58(10): 1801-1804, 1810.
[11]	陈思萱, 邹滨, 汤景文, 2015. 空间插值方法对土壤重金属污染格局识别的影响[J]. 测绘科学, 40(1): 63-67.
	CHEN S X, ZOU B, TANG J W, 2015. Effect of spatial interpolation method on the identification of soil heavy metal pollution pattern[J]. Science of Surveying and Mapping, 40(1): 63-67.
[12]	邓晓霞, 米艳华, 黎其万, 等, 2016. 利用改进的BCR法和Tessier法提取稻田土壤中Pb、Cd的对比研究[J]. 江西农业学报, 28(9): 64-68.
	DENG X X, MI Y H, LI Q W, et al., 2016. Comparative study on extraction of Pb and Cd from paddy soils by modified BCR method and tessier method[J]. Acta Agriculturae Jiangxi, 28(9): 64-68.
[13]	韩志轩, 王学求, 迟清华, 等, 2018. 珠江三角洲冲积平原土壤重金属元素含量和来源解析[J]. 中国环境科学, 38(9): 3455-3463.
	HAN Z X, WANG X Q, CHI Q H, et al., 2018. Occurrence and source identification of heavy metals in the alluvial soils of Pearl River Delta region, south China[J]. Chinese Environmental Science, 38(9): 3455-3463.
[14]	黄晓慧, 邹开敏, 2016. “一带一路” 战略背景下的粤港澳大湾区文商旅融合发展[J]. 华南师范大学学报(社会科学版), 48(4): 106-110, 192.
	HUANG X H, ZOU K M, 2016. A Study of the integration development of culture, commerce and Tourism under the background of “the Belt and Road” strategy in Guangdong-Hong Kong-Macao Big Bay Area[J]. Journal of South China Normal University (Social Science edition), 48(4): 106-110, 192.
[15]	可华明, 杨清伟, 刘守江, 等, 2020. 嘉陵江亭子口水库沉积物重金属分布特征及风险评价[J]. 安全与环境学报, 20(6): 2389-2397.
	KE H M, YANG Q W, LIU S J, et al., 2020. Distribution of the heavy metal contaminants and the corresponding ecohazard risk assessment in the sediment of Tingzikou Reservoir of Jialing River[J]. Journal of Safety and Environment, 20(6): 2389-2397.
[16]	刘光孟, 汪云甲, 张海荣, 等, 2011. 空间分析中几种插值方法的比较研究[J]. 地理信息世界, 9(3): 41-45.
	LIU G M, WANG Y J, ZHANG H R, et al., 2011. Comparative study of several interpolation methods on spatial analysis[J]. Geomatics World, 9(3): 41-45.
[17]	刘申, 刘凤枝, 李晓华, 等, 2010. 天津公园土壤重金属污染评价及其空间分析[J]. 生态环境学报, 19(5): 1097-1102.
	LIU S, LIU F Z, LI X H, et al., 2010. Pollution assessment and spatial analysis on soil heavy metals of park in Tianjin[J]. Ecology and Environmental Sciences, 19(5): 1097-1102.
[18]	刘玉燕, 刘浩峰, 2006. 城市土壤Pb污染特征及影响因素分析[J]. 干旱环境监测, 20(1): 8-11.
	LIU Y Y, LIU H F, 2006. Analysis of characteristics of lead pollution in urban soil and influence factors[J]. Arid Cnuironmentdal Monitoring, 20(1): 8-11.
[19]	麻冰涓, 王海邻, 李小超, 等, 2015. 河南省武陟县大田土壤重金属形态分布及潜在生态风险评价[J]. 安全与环境学报, 15(4): 363-367.
	MA B J, WANG H L, LI X C, et al., 2015. Fractional distribution and ecological risk assessment of heavy metals in farmland soil, Wuzhi, Henan[J]. Journal of Safety and Environment, 15(4): 363-367.
[20]	马宏宏, 余涛, 杨忠芳, 等, 2018. 典型区土壤重金属空间插值方法与污染评价[J]. 环境科学, 39(10): 4684-4693.
	MA H H, YU T, YANG Z F, et al., 2018. Spatial interpolation methods and pollution assessment of heavy metals of soil in typical areas[J]. Environmental Science, 39(10): 4684-4693.
[21]	邵莉, 肖化云, 吴代赦, 等, 2012. 交通源重金属污染研究进展[J]. 地球与环境, 40(3): 445-459.
	SHAO L, XIAO H Y, WU D S, et al., 2012. Review on research on traffice-related heavy metals pollution[J]. Earth and the Environment, 40(3): 445-459.
[22]	孙境蔚, 于瑞莲, 胡恭任, 等, 2017. 应用铅锶同位素示踪研究泉州某林地垂直剖面土壤中重金属污染及来源解析[J]. 环境科学, 38(4): 1566-1575.
	SUN J W, YU R L, HU G R, et al., 2017. Assessment of heavy metal pollution and tracing sources by Pb & Sr isotope in the soil profile of woodland in Quanzhou[J]. Environmental Science, 38(4): 1566-1575.
[23]	孙瑞瑞, 陈华清, 李杜康, 2015. 基于土壤中铅化学形态的生态风险评价方法比较[J]. 安全与环境工程, 22(5): 47-51.
	SUN R R, CHEN H Q, LI D K, 2015. Comparison of ecological risk assessment methods based on the chemical forms of lead in soil[J]. Safety and Environmental Engineering, 22(5): 47-51.
[24]	汪进, 韩智勇, 冯燕, 等, 2021. 成都市工业区绿地土壤重金属形态分布特征及生态风险评价[J]. 生态环境学报, 30(9): 1923-1932.
	WANG J, HAN Z Y, FENG Y, et al., 2021. Morphological distribution characteristics and ecological risk assessment of heavy metal in the green soil of industrial zone in Chengdu[J]. Ecology and Environmental Sciences, 30(9): 1923-1932.
[25]	武晓娟, 陈雅丽, 马杰, 等, 2020. 长株潭典型污染区稻田剖面土壤重金属的累积及形态特征[J]. 环境科学研究, 35(8): 1913-1924.
	WU X J, CHEN Y L, MA J, et al., 2020. Accumulation and speciation characteristics of heavy metals in paddy soil profiles in typical polluted areas of Chang-Zhu-Tan Region[J]. Research of Environmental Sciences, 35(8): 1913-1924.
[26]	吴新民, 李恋卿, 潘根兴, 等, 2003. 南京市不同功能城区土壤中重金属Cu、Zn、Pb和Cd的污染特征[J]. 环境科学, 24(3): 105-111.
	WU X M, LI L Q, PAN G X, et al., 2003. Soil pollution of Cu, Zn, Pb and Cd in different city zones of Nanjing[J]. Environmental Science, 24(3): 105-111.
[27]	徐国良, 文雅, 蔡少燕, 等, 2019. 城市表层土壤对生态健康影响研究述评[J]. 地理研究, 38(12): 2941-2956. DOI
	XU G L, WEN Y, CAI S Y, et al., 2019. Review for the effects of urban topsoil on the ecological health[J]. Geographical Research, 38(12): 2941-2956. DOI
[28]	杨新明, 庄涛, 韩磊, 等, 2019. 小清河污灌区农田土壤重金属形态分析及风险评价[J]. 环境化学, 38(3): 644-652.
	YANG X M, ZHUANG T, HAN L, et al., 2019. Fraction distribution and ecological risk assessment of soil heavy metals in the farmland soil from the sewage irrigated area of Xiaoqing River[J]. Environmental Chemistry, 38(3): 644-652.
[29]	姚文文, 陈文德, 黄钟宣, 等, 2021. 重庆市主城区土壤重金属形态特征及风险评价[J]. 西南农业学报, 34(1): 159-164.
	YAO W W, CHEN W D, HUANG Z X, et al., 2021. Speciation characteristics and risk assessment of heavy metals in soil in core zone of Chongqing[J]. Southwest China Journal of Agriculture Sciences, 34(1): 159-164.
[30]	张淑香, 依艳丽, 刘孝义, 1999. 草河口地区土壤中重金属等元素含量的相互关系及其影响因素[J]. 土壤学报, 36(2): 253-260.
	ZHANG S X, YI Y L, LIU X Y, 1999. Study on correlation between some metal element contents in soils of Caohekou Area, Liaoning province and their affecting factors[J]. Acta Pedologica Sinica, 36(2): 253-260.
[31]	中华人民共和国农业部, 2006. 土壤监测第1部分:土壤样品的采集、处理及贮存: NY/T 1121.1-2006[S]. 北京: 中国农业出版社: 1-3.
	Ministry of Agriculture of the People’s Republic of China, 2006. Soil monitoring Part 1: Collection, processing and storage of soil samples: NY/T 1121.1-2006[S]. Beijing: Agriculture Press in China: 1-3.
[32]	周春山, 罗利佳, 史晨怡, 等, 2017. 粤港澳大湾区经济发展时空演变特征及其影响因素[J]. 热带地理, 37(6): 802-813. DOI
	ZHOU C S, LUO L J, SHI C Y, et al., 2017. Spatio-temporal evolutionary characteristics of the economic development in the Guangdong-Hong Kong-Macao Greater Bay Area and its influencing factors.[J]. Tropical Geography, 37(6): 802-813. DOI
[33]	朱立安, 殷爱华, 林兰稳, 等, 2021. 佛山城市森林公园表层土壤重金属累积特征、影响因素及其评价[J]. 生态环境学报, 30(4): 849-856.
	ZHU L A, YIN A H, LIN L W, et al., 2021. Accumulation characteristics, influencing factors and evaluation of heavy metals in surface soil in urban forest park of Foshan[J]. Ecology and Environmental Sciences, 30(4): 849-856.

评价指数范围 Assessment index	<1	1-2	2-3	>3
评价等级 Assessment grade	零级 0 grade	一级 1 grade	二级 2 grade	三级 3 grade
污染等级 Pollution grade	未超标 Clean	轻污染 Slight pollution	中污染 Medium pollution	重污染 Heavy pollution

评价指数范围 Assessment index	<1	1-2	2-3	>3
评价等级 Assessment grade	零级 0 grade	一级 1 grade	二级 2 grade	三级 3 grade
污染等级 Pollution grade	未超标 Clean	轻污染 Slight pollution	中污染 Medium pollution	重污染 Heavy pollution

重金属 Heavy metal	含量 Content/ (mg·kg^-1)	标准差 Standard deviation/ (mg·kg^-1)	平均值 Average value/ (mg·kg^-1)	变异系数 Coefficient of variation/ %	背景值^a Background value/ (mg·kg^-1)
Pb	43.29-107.19	19.24	64.71	29.73	36.0
Cd	0.04-1.18	0.37	0.54	69.82	0.056
Cr	22.48-106.40	25.22	58.55	43.0	50.5
Cu	14.13-109.42	22.28	37.59	59.26	17.0
Zn	48.67-217.58	48.27	131.04	36.83	47.3
Ni	11.67-41.59	8.86	23.16	38.25	18.2

重金属 Heavy metal	含量 Content/ (mg·kg^-1)	标准差 Standard deviation/ (mg·kg^-1)	平均值 Average value/ (mg·kg^-1)	变异系数 Coefficient of variation/ %	背景值^a Background value/ (mg·kg^-1)
Pb	43.29-107.19	19.24	64.71	29.73	36.0
Cd	0.04-1.18	0.37	0.54	69.82	0.056
Cr	22.48-106.40	25.22	58.55	43.0	50.5
Cu	14.13-109.42	22.28	37.59	59.26	17.0
Zn	48.67-217.58	48.27	131.04	36.83	47.3
Ni	11.67-41.59	8.86	23.16	38.25	18.2

重金属 Heavy metal	Pb	Cd	Cr	Cu	Zn	Ni
Pb	1
Cd	0.533*	1
Cr	0.098	0.300	1
Cu	0.147	0.147	0.521*	1
Zn	0.662**	0.505*	0.389	0.500*	1
Ni	-0.192	0.013	0.621*	0.247	-0.276	1

Accumulation Characteristics, Geochemical Fractions Distribution and Ecological Risk of Heavy Metals in Soils of Urban Parks in Guangzhou, China

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

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采样点 Sampling sites	单因子评价指数 Single factor evaluation index
采样点 Sampling sites	Pb	Cd	Cr	Cu	Zn	Ni
G1	1.55	11.74	0.87	1.59	2.87	0.71
G2	2.98	18.47	1.20	1.93	4.60	1.06
G3	1.76	7.98	1.28	2.29	3.29	1.11
G4	1.89	7.16	1.33	2.08	2.78	1.15
G5	2.69	14.41	1.40	1.84	3.82	1.17
G6	1.45	5.55	0.98	1.88	3.88	0.64
G7	1.70	6.30	1.29	1.75	2.58	1.00
G8	1.89	7.58	1.32	6.44	4.03	1.20
G9	1.47	20.42	0.67	1.21	1.94	0.87
G10	1.44	16.35	2.06	3.23	2.78	2.29
G11	2.60	21.14	1.52	3.20	3.40	1.73
G12	1.20	7.56	1.07	1.74	2.13	1.42
G13	1.27	0.74	0.45	0.83	1.03	1.64
G14	1.97	3.81	0.49	1.59	1.99	0.75
G15	1.66	1.10	0.51	1.11	1.30	1.42
G16	1.23	3.13	2.11	2.68	1.92	2.18

采样点 Sampling sites	次生相与原生相分布比值法 RSP						风险评价编码法 RAC
采样点 Sampling sites	Pb	Cd	Cr	Cu	Zn	Ni	Pb	Cd	Cr	Cu	Zn	Ni
G1	0.88	22.61	0.18	0.34	1.85	0.44	0.75%	63.06%	0.21%	1.03%	16.75%	5.20%
G2	0.96	11.69	0.20	0.39	1.63	0.51	0.19%	55.58%	0.17%	1.92%	9.08%	2.20%
G3	0.70	9.87	0.39	0.74	1.47	0.47	0.09%	52.33%	0.45%	2.51%	7.24%	2.94%
G4	0.71	9.63	0.30	0.65	1.30	0.39	0.37%	54.50%	0.35%	1.82%	9.90%	4.34%
G5	0.82	8.91	0.18	0.33	1.24	0.40	0.19%	47.76%	0.18%	1.68%	5.34%	2.39%
G6	1.21	12.04	0.20	0.27	1.97	0.60	1.04%	59.46%	0.38%	1.36%	17.35%	5.78%
G7	0.78	8.05	0.29	0.61	1.34	0.41	0.48%	51.53%	0.49%	2.89%	9.62%	4.53%
G8	0.69	8.52	0.31	1.38	1.98	0.45	0.09%	53.67%	0.38%	19.70%	14.51%	6.62%
G9	0.58	28.52	0.15	0.55	1.30	0.35	0.94%	63.37%	0.29%	1.03%	13.86%	4.95%
G10	0.87	4.37	0.10	0.34	0.53	0.22	0.01%	28.80%	0.03%	0.14%	1.00%	0.64%
G11	0.99	11.14	0.17	0.50	0.85	0.29	0.05%	46.76%	0.25%	0.82%	4.30%	2.04%
G12	0.80	4.66	0.09	0.35	0.51	0.59	0.03%	34.89%	0.35%	0.17%	2.60%	1.62%
G13	0.76	9.56	0.64	1.10	0.49	0.16	8.49%	51.77%	0.84%	3.61%	10.45%	1.12%
G14	0.70	10.42	0.38	1.09	0.90	0.60	5.97%	20.25%	0.69%	1.51%	7.51%	2.48%
G15	0.69	2.96	0.54	1.00	0.46	2.64	7.51%	48.40%	0.70%	3.32%	9.60%	1.31%
G16	0.65	1.94	0.09	0.15	0.13	0.11	0.35%	26.35%	0.10%	0.49%	1.03%	1.19%
标准差 Standard deviation	0.80	10.31	0.26	0.61	1.12	0.54	1.66%	47.40%	0.36%	2.75%	8.76%	3.09%
平均值 Average value	0.16	6.79	0.16	0.36	0.59	0.58	2.87%	13.03%	0.23%	4.64%	5.14%	1.88%
变异系数 Coefficient of variation	19.45%	65.87%	60.91%	58.34%	52.29%	107.21%	172.89%	27.48%	62.03%	168.69%	58.64%	60.78%

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[4]	XIAO Jieyun, ZHOU Wei, SHI Peiqi. Hyperspectral Inversion of Soil Heavy Metals [J]. Ecology and Environment, 2023, 32(1): 175-182.
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