光谱学与光谱分析 |
|
|
|
|
|
Study on Speciation Analysis and Ecological Risk Assessment of Heavy Metals in Surface Sediments in Gansu, Ningxia and Inner Mongolia Sections of the Yellow River in Wet Season with HR-ICP-MS |
MA Xiao-ling1, LIU Jing-jun1,3, ZUO Hang1,4, HUANG Fang1, LIU Ying1, 2* |
1. College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China 2. Beijing Engineering Research Center of Food Environment and Public Health, Minzu University of China, Beijing 100081, China 3. China National Cleaner Production Center of Ministry of Environmental Protection, Chinese Research Academy of Environmental Science, Beijing 100012, China 4. China National Environmental Monitoring Center, Beijing 100012, China |
|
|
Abstract In order to continuously study the contents, pollution condition and potential ecological risk of heavy metals in surface sediments in Gansu, Ningxia and Inner Mongolia sections of the Yellow River in wet seasons in different years, the speciation analysis of 9 kinds of heavy metals including Cd, Pb, Cr, Ni, Cu, V, Co, Zn and Mn, pollution condition and potential ecological risk of heavy metals in surface sediments from 10 sampling sites like Baotoufuqiao (S2), Shizuishantaolezhen (S6) and Wujinxia (S9) in Gansu, Ningxia and Inner Mongolia sections of the Yellow River in 2012 wet season were studied with BCR sequential extraction and high resolution inductively coupled plasma-mass spectrometry (HR-ICP-MS) based on our previous works. The results implied that the order of heavy metals average contents in the 10 sediment samples were the same: Mn>V>Zn>Cr>Cu>Ni>Pb>Co>Cd. In the sediments, heavy metals mainly existed in the form of residual fraction, which indicated that the bioavailability or environmental impact was low. Results of geo-accumulation indices (Igeo) showed that ICdgeo was the largest among the heavy metals with the strongest pollution, while IMngeo was the smallest. Enrichment factor (EF) indicated that only Cd and Cu were enriched at some sampling sites. In S5, because EFCd reached 4.69, Cd was affected by human activities obviously and the result was consistent with Igeo. Potential ecological risk index (RI) implied that the RI values in S1, S2 and S5 were between 150 and 300, which belonged to moderate polluting degree, while others were less than 150, belonging to light pollution degree. The results of this paper could not only provide reliable experimental data and theoretical basis for the relevant departments, but also supply the technical support for constructing mathematics model of sediments-pollutants transport, systematically researching the migration and transformation rule of persistent toxic substances and environmental assessment in these reaches.
|
Received: 2014-04-24
Accepted: 2014-07-29
|
|
Corresponding Authors:
LIU Ying
E-mail: liuying4300@163.com
|
|
[1] CAI Qiu, LONG Mei-li, ZHU Ming, et al. Environ. Pollut., 2009, 157(11): 3078. [2] LI Lian-fang, ZENG Xi-bai, LI Guo-xue, et al(李莲芳, 曾希柏, 李国学, 等). Acta Scientiae Circumstantiae(环境科学学报), 2007, 27(2): 289. [3] Bibi M H, Ahmed F, Ishiga H. Environ. Geol., 2007, 52(4): 625. [4] Amiard J C, Geard A, Amiard-Triquet C, et a1. Estuar. Coast. Shelf. S., 2007, 72(3): 511. [5] FENG Su-ping, LIU Shen-tan, DU Wei, et al(冯素萍, 刘慎坦, 杜 伟, 等). Journal of Instrumental Analysis(分析测试学报), 2009, 28(3): 297. [6] Field M P, La Vigne M, Murphy K R, et al. J. Anal. Atom. Spectrom., 2007, 22(9): 1145. [7] FAN Shuan-xi, GAN Zhuo-ting, LI Mei-juan, et al(范拴喜, 甘卓亭, 李美娟, 等). Chinese Agricultural Science Bulletin(中国农学通报), 2010, 26(17): 310. [8] GENG Ya-ni(耿雅妮). Chinese Agricultural Science Bulletin(中国农学通报), 2012, 28(11): 262. [9] Rubio B, Nombela M A, Vilas F. Mar. Pollut. Bull., 2000, 40(11): 968. [10] Teasdale P R, Apte S C, Ford P W, et al. Estuar. Coast. Shelf. S., 2003, 57(3): 475. |
[1] |
LIANG Ye-heng1, DENG Ru-ru1, 2*, LIANG Yu-jie1, LIU Yong-ming3, WU Yi4, YUAN Yu-heng5, AI Xian-jun6. Spectral Characteristics of Sediment Reflectance Under the Background of Heavy Metal Polluted Water and Analysis of Its Contribution to
Water-Leaving Reflectance[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 111-117. |
[2] |
CHENG Hui-zhu1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, MA Qian1, 2, ZHAO Yan-chun1, 2. Genetic Algorithm Optimized BP Neural Network for Quantitative
Analysis of Soil Heavy Metals in XRF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3742-3746. |
[3] |
LIU Hong-wei1, FU Liang2*, CHEN Lin3. Analysis of Heavy Metal Elements in Palm Oil Using MP-AES Based on Extraction Induced by Emulsion Breaking[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3111-3116. |
[4] |
MA Qian1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, CHENG Hui-zhu1, 2, ZHAO Yan-chun1, 2. Research on Classification of Heavy Metal Pb in Honeysuckle Based on XRF and Transfer Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2729-2733. |
[5] |
CHENG Fang-beibei1, 2, GAN Ting-ting1, 3*, ZHAO Nan-jing1, 4*, YIN Gao-fang1, WANG Ying1, 3, FAN Meng-xi4. Rapid Detection of Heavy Metal Lead in Water Based on Enrichment by Chlorella Pyrenoidosa Combined With X-Ray Fluorescence Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2500-2506. |
[6] |
ZHANG Xia1, WANG Wei-hao1, 2*, SUN Wei-chao1, DING Song-tao1, 2, WANG Yi-bo1, 2. Soil Zn Content Inversion by Hyperspectral Remote Sensing Data and Considering Soil Types[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2019-2026. |
[7] |
JIANG Chuan-li1, ZHAO Jian-yun1, 2*, DING Yuan-yuan1, ZHAO Qin-hao1, MA Hong-yan1. Study on Soil Water Retrieval Technology of Yellow River Source Based on SPA Algorithm and Machine Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1961-1967. |
[8] |
TANG Quan1, ZHONG Min-jia2, YIN Peng-kun2, ZHANG Zhi3, CHEN Zhen-ming1, WU Gui-rong3*, LIN Qing-yu4*. Imaging of Elements in Plant Under Heavy Metal Stress Based on Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1485-1488. |
[9] |
ZHANG Chao1*, SU Xiao-yu1, XIA Tian2, YANG Ke-ming3, FENG Fei-sheng4. Monitoring the Degree of Pollution in Different Varieties of Maize Under Copper and Lead Stress[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1268-1274. |
[10] |
CHEN Ping-yun1, KANG Xiu-tang1, GUO Liang-qia2*. Study of Emission Characteristics of Particulate Arsenic, Cadmium, Copper and Lead Derived From Burning of Tibetan Incenses by
ICP-OES Method With Microwave Digestion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 419-425. |
[11] |
ZHU Zhao-zhou1, YAN Wen-rui1, 2, ZHANG Zi-jing1, 2. Research of Pollution Characteristics, Ecological and Health Risks of Heavy Metals in PM2.5 From Fireworks by Inductively Coupled
Plasma-Mass Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 644-650. |
[12] |
TANG Ju1, 2, DAI Zi-yun2*, LI Xin-yu2, SUN Zheng-hai1*. Investigation and Research on the Characteristics of Heavy Metal Pollution in Children’s Sandpits Based on XRF Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3879-3882. |
[13] |
LIU Hong-jun1, NIU Teng1, YU Qiang1*, SU Kai2, YANG Lin-zhe1, LIU Wei1, WANG Hui-yuan1. Inversion and Estimation of Heavy Metal Element Content in Peach Forest Soil in Pinggu District of Beijing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3552-3558. |
[14] |
JUMAHONG Yilizhati1, 2, TAN Xi-juan1, 2*, LIANG Ting1, 2, ZHOU Yi1, 2. Determination of Heavy Metals and Rare Earth Elements in Bottom Ash of Waste Incineration by ICP-MS With High-Pressure Closed
Digestion Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3168-3173. |
[15] |
WU Bing, YANG Ke-ming*, GAO Wei, LI Yan-ru, HAN Qian-qian, ZHANG Jian-hong. EC-PB Rules for Spectral Discrimination of Copper and Lead Pollution Elements in Corn Leaves[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3256-3262. |
|
|
|
|