PATHWAYS OF HEAVY METALS ABSORPTION BY EARTHWORMS IN SLUDGE VERMI COMPOSTING ENHANCED BY RICE HUSK CHARCOAL

WANG Xingming; WANG Ying; FAN Tingyu; CHU Zhaoxia; DONG Zhongbing; DONG Peng

doi:10.13205/j.hjgc.202410018

Volume 42 Issue 10

Oct. 2024

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2024 > 42(10): 147-154

MA Xiao-qian, ZHANG Zhe, LIU Chao, WANG Jun-jie, WANG Jia-lin, YU Yi, CAO Rui-jie, SHI Zhi-li, WANG Ya-yi. TREATMENT OF LEACHATE FROM MUNICIPAL SOLID WASTE INCINERATION PLANT BY COMBINED ANAMMOX PROCESS: NITROGEN REMOVAL AND MICROBIAL MECHANISM[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(11): 110-118. doi: 10.13205/j.hjgc.202111014

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WANG Xingming, WANG Ying, FAN Tingyu, CHU Zhaoxia, DONG Zhongbing, DONG Peng. PATHWAYS OF HEAVY METALS ABSORPTION BY EARTHWORMS IN SLUDGE VERMI COMPOSTING ENHANCED BY RICE HUSK CHARCOAL[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(10): 147-154. doi: 10.13205/j.hjgc.202410018

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PATHWAYS OF HEAVY METALS ABSORPTION BY EARTHWORMS IN SLUDGE VERMI COMPOSTING ENHANCED BY RICE HUSK CHARCOAL

doi: 10.13205/j.hjgc.202410018

1. Anhui Province Engineering Laboratory of Water and Soil Resources Comprehensive Utilization and Ecological Protection in High Groundwater Mining Area, School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China;
2. Key Laboratory of Bioresource and Environmental Biotechnology of Anhui Higher Education Institutes, School of Biological Engineering, Huainan Normal University, Huainan 232038, China;
3. School of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650031, China

Received Date: 2024-01-30
Available Online: 2024-11-30

Abstract

Abstract

To investigate the characteristics of earthworm enrichment of heavy metals in the process of rice husk charcoal composting sludge, 0, 2%, 4%, 6%, and 8% (mass fraction) rice husk charcoal was added to the sludge to undergo earthworm composting respectively. Through the internal correlation analysis of heavy metals concentrations in sludge, earthworm epidermis, intestine, and whole body, the pathways of earthworm absorption of heavy metals in sludge were explored. The results showed that after adding rice husk charcoal to the earthworm sludge composting system, the pH and TK of the composted sludge increased, while the EC, TOC, TP, and available heavy metals contents of the composted sludge decreased; the addition of rice husk charcoal increased the heavy metal content in the whole bodies, epidermis, and intestines of earthworms, thereby reducing the available heavy metals contents in sludge; the addition of rice husk charcoal promoted the trend of earthworm epidermis absorbing heavy metals. The distribution coefficients of Cr, Cu, and Zn increased with the increase of rice husk charcoal dosage, while the distribution coefficients of Pb decreased with the increase of this dosage; the addition of rice husk charcoal affects the overall heavy metals absorption capacity of earthworms by changing pH and EC of sludge, affected the heavy metals absorption capacity of earthworm epidermis by changing the pH, TOC, TN, and TP of sludge, and affected the heavy metals absorption capacity of earthworm intestines by changing TN and TP of sludge. This study can provide theoretical support for the regulation of heavy metals in earthworm compost sludge by biochar and the resource utilization of sludge.
- vermicomposting,
- heavy mental,
- rice husk charcoal,
- sludge,
- biochar

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References

[1]	CASTILLO J M, ROMERO E, NOGALES R. Dynamics of microbial communities related to biochemical parameters during vermicomposting and maturation of agroindustrial lignocellulose wastes[J]. Bioresource Technology, 2013,146: 345-354.
[2]	IWAI C B, TA-OUN M, CHUASAVATEE T, et al. Management of municipal sewage sludge by vermicomposting technology: converting a waste into a bio fertilizer for agriculture[J]. International Journal of Environmental and Rural Development, 2013,4(1): 169-174.
[3]	HE X, ZHANG Y X, SHEN M C, et al. Effect of vermicomposting on concentration and speciation of heavy metals in sewage sludge with additive materials[J]. Bioresource Technology, 2016,218: 867-873.
[4]	王振兴. 重金属在污泥蚯蚓堆肥中的变化及对土壤硝化活性的影响[D]. 扬州:扬州大学, 2017.
[5]	WANG L, ZHANG Y, LIAN J, et al. Impact of fly ash and phosphatic rock on metal stabilization and bioavailability during sewage sludge vermicomposting[J]. Bioresource Technology, 2013,136: 281-287.
[6]	周楫,余亚伟,蒋越,等.生物炭对污泥堆肥及其利用过程重金属有效态的影响[J].环境科学,2019,40(2):987-993.
[7]	OLESZCZUK P, HALE S E, LEHMANN J, et al. Activated carbon and biochar amendments decrease pore-water concentrations of polycyclic aromatic hydrocarbons (PAHs) in sewage sludge[J]. Bioresource Technology, 2012,111: 84-91.
[8]	程焱,余亚伟,张成,等.污泥堆肥及其利用过程汞的变化特征[J].环境化学,2021,40(7):2226-2233.
[9]	孟莉蓉,俞浩丹,杨婷婷,等. 2种生物炭对Pb、Cd污染土壤的修复效果[J]. 江苏农业学报,2018,34(4):835-841.
[10]	司马小峰,孟玉,吴东彪,等.生物炭-超富集植物联合修复镉污染土壤的研究[J].安徽农业科学,2021,49(6):80-84.
[11]	郑云珠,田晓飞,翟胜,等.小麦秸秆生物炭对冬小麦生长及土壤水分的影响[J].江苏农业科学,2020,48(23):84-88.
[12]	程焱,余亚伟,张成,等.污泥堆肥及其利用过程汞的变化特征[J].环境化学,2021,40(7):2226-2233.
[13]	钱君龙,张连弟,乐美麟.过硫酸盐消化法测定土壤全氮全磷[J].土壤,1990(5):258-262.
[14]	REN S X. Method for determination of total potassium in soil[J]. Chinese Journal of Soil Science, 1961,2:52-56.
[15]	李亮亮,张大庚,李天来,等.土壤有效态重金属提取剂选择的研究[J].土壤,2008(5):819-823.
[16]	史志明. 菲在蚯蚓体内的分布及其对蚯蚓抗氧化防御体系的影响[D].南京:南京农业大学,2013.
[17]	王振兴,徐琪,董伟强,等.城市生活污泥蚯蚓堆肥过程中重金属形态变化特征[J].环境工程,2017,35(11):120-123 ,27.
[18]	FU X Y, HUANG K, CHEN X M, et al. Feasibility of vermistabilization for fresh pelletized dewatered sludge with earthworms Bimastus parvus[J].Bioresource Technology,2015, 175C: 646-650.
[19]	贾洋洋. 不同改性处理花生壳炭对城市污泥堆肥的影响[D]. 郑州:河南农业大学, 2019.
[20]	BIEDERMAN L A, HARPOLE W S. Biochar and its effects on plant productivity and nutrient cycling: a meta-analysis[J]. GCB Bioenergy, 2013,5(2): 202-214.
[21]	徐轶群,吴小飞,许健,等.蚯蚓堆肥对城市生活污泥氮、磷营养物质矿化的影响[J].家畜生态学报,2016,37(4):54-58.
[22]	范劲诗. 生物炭添加对市政污泥蚯蚓堆肥的影响研究[D].长沙:湖南大学,2020.
[23]	CACERES R, FLOTATS X, MARFA O. Changes in the chemical and physicochemical properties of the solid fraction of cattle slurry during composting using different aeration strategies[J]. Waste management, 2006, 26(10): 1081-1091.
[24]	陈学民,黄魁,伏小勇,等.2种表居型蚯蚓处理污泥的比较研究[J].环境科学,2010,31(5):1274-1279.
[25]	SUTHAR S, SINGH S. Vermicomposting of domestic waste by using two epigeic earthworms (Perionyx excavatus and Perionyx sansibaricus)[J]. International Journal of Environmental Science & Technology, 2008,5(1): 99-106.
[26]	中华人民共和国农业农村部. 有机肥料:NY/T 525—2021[S]. 北京,2021.
[27]	王哲,宓展盛,郑春丽,等.生物炭对矿区土壤重金属有效性及形态的影响[J].化工进展,2019,38(6):2977-2985.
[28]	IGNATOWICZ K. The impact of sewage sludge treatment on the content of selected heavy metals and their fractions[J]. Environmental Research, 2017,156: 19-22.
[29]	孙西宁. 污泥堆肥过程中重金属形态变化的研究[D]. 咸阳:西北农林科技大学, 2007.
[30]	李明.高温堆肥与蚯蚓堆肥对城市污泥重金属形态的影响[J].环境工程学报,2008,2(10):1407-1412.
[31]	MALIŃSKA K, GOLAN＇SKA M, CACERES R, et al. Biochar amendment for integrated composting and vermicomposting of sewage sludge-The effect of biochar on the activity of Eisenia fetida and the obtained vermicompost[J]. Bioresource Technology, 2017,225: 206-214.
[32]	左静,陈德,郭虎,等.小麦秸秆生物质炭对旱地土壤铅镉有效性及小麦、玉米吸收的影响[J].农业环境科学学报,2017,36(6):1133-1140.
[33]	AHMAD M, RAJAPAKSHA A U, LIM J E, et al. Biochar as a sorbent for contaminant management in soil and water: a review[J]. Chemosphere, 2014, 99(3): 19-33.
[34]	王漫莉,罗启仕,冉雨灵,等.受污染土壤中重金属的蚯蚓生物有效性评估研究进展[J]. 生态与农村环境学报, 2019,35(9): 1097-1102.
[35]	鲁福庆,王兴明,储昭霞,等.蚯蚓对不同厚度复垦土壤中重金属生物有效性的影响[J]. 生态学杂志, 2022,41(1): 124-131.
[36]	伏小勇,秦赏,杨柳,等.蚯蚓对土壤中重金属的富集作用研究[J]. 农业环境科学学报, 2009,28(1): 78-83.
[37]	NAGAJYOTI P C, LEE K D, SREEKANTH T V M. Heavy metals, occurrence and toxicity for plants: a review[J]. Environmental Chemistry Letters, 2010,8(3): 199-216.
[38]	张强. 贵州省主要土壤外源Pb和Cd对大麦和蚯蚓毒性初步研究[D]. 贵阳:贵州师范大学, 2016.
[39]	AZIZI A B, LIM M P M, NOOR Z M, et al. Vermiremoval of heavy metal in sewage sludge by utilising Lumbricus rubellus[J]. Ecotoxicology and Environmental Safety, 2013,90: 13-20.
[40]	吴玲,张孟豪,钟鹤森,等.生物炭施用对土壤中蚯蚓的影响[J].特种经济动植物,2022,25(11):174-179.
[41]	LANNO R, WELLS J, CONDER J, et al. The bioavailability of chemicals in soil for earthworms[J]. Ecotoxicology and Environmental Safety, 2003,57(1): 39-47.
[42]	AUDUSSEAU H, VANDENBULCKE F, DUME C, et al. Impacts of metallic trace elements on an earthworm community in an urban wasteland: emphasis on the bioaccumulation and genetic characteristics in Lumbricus castaneus[J]. Science of the Total Environment, 2020,718(C): 137259.
[43]	张池,周波,吴家龙,等. 蚯蚓在我国南方土壤修复中的应用[J].生物多样性, 2018,26(10): 1091-1102.
[44]	PANZARINO O, HYRŠL P, DOBEŠ P, et al. Rank-based biomarker index to assess cadmium ecotoxicity on the earthworm Eisenia andrei[J]. Chemosphere, 2016,145: 480-486.
[45]	ZHOU C F, HUANG M Y, YU J D, et al. The effect of low-molecular-weight organic acids on copper toxicity in E. fetida in an acute exposure system[J]. Environmental science and pollution research international, 2017,24(9): 8805-8813.
[46]	ZHONG Q Y, LI L Z, HE M C, et al. Toxicity and bioavailability of antimony to the earthworm (Eisenia fetida) in different agricultural soils[J]. Environmental Pollution, 2021,291: 118215.
[47]	李志强. 蚯蚓对铜离子的富集及其对人工土壤铜锌形态的影响[D]. 泰安:山东农业大学,2009.
[48]	LILIAN M, SOPHIE B, ISABELLE L, et al. Modulation of trace element bioavailability for two earthworm species after biochar amendment into a contaminated technosol[J]. Ecotoxicology (London, England), 2017,26(10): 1378-1391.
[49]	SIZMUR T, WATTS M J, BROWN G D, et al. Impact of gut passage and mucus secretion by the earthworm Lumbricus terrestris on mobility and speciation of arsenic in contaminated soil[J]. Journal of Hazardous Materials, 2011,197: 169-175.
[50]	张薇,施加春.不同钝化剂与蚯蚓联合处理对猪粪堆肥中铜锌的钝化效果[J].浙江大学学报(农业与生命科学版), 2017,43(6): 775-786.
[51]	黄财德,李扬,乔玉辉,等. 蚓粪腐殖酸对Cd²⁺的吸附作用研究[J]. 环境污染与防治, 2020,42(3): 324-327.

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