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Volume 38 Issue 10
Nov.  2020
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Article Contents
ZHOU Li-jun, LIN Xiao-bing, WU Lin, HUANG Qian-ru, YU Ying, ZHANG Hong-yan, GUO Nai-jia, ZHANG Yun, LIU Hui. DIFFERENCES ANALYSIS ON PHYSICOCHEMICAL PROPERTITES,MICROBIAL AND ENZYME ACTIVITIES OF CADMIUM CONTAMINATED PADDY[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(10): 202-206,227. doi: 10.13205/j.hjgc.202010032
Citation: ZHOU Li-jun, LIN Xiao-bing, WU Lin, HUANG Qian-ru, YU Ying, ZHANG Hong-yan, GUO Nai-jia, ZHANG Yun, LIU Hui. DIFFERENCES ANALYSIS ON PHYSICOCHEMICAL PROPERTITES,MICROBIAL AND ENZYME ACTIVITIES OF CADMIUM CONTAMINATED PADDY[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(10): 202-206,227. doi: 10.13205/j.hjgc.202010032

DIFFERENCES ANALYSIS ON PHYSICOCHEMICAL PROPERTITES,MICROBIAL AND ENZYME ACTIVITIES OF CADMIUM CONTAMINATED PADDY

doi: 10.13205/j.hjgc.202010032
  • Received Date: 2019-08-20
  • A field experiment was conducted in 2 hm2 Cd contaminated paddy in Pingxiang, Jiangxi province, to study the spatial heterogeneity and correlation characteristics of soil physical and chemical properties, microbes and enzyme activities. The results showed that the variation coefficient of Cd in brown rice was larger than available Cd and total Cd in soil, and the variability of late rice was higher than that of early rice, which was with moderately variability. The coefficients of variation of pH and bulk density in soil was small, and the coefficients of variation of organic matter, cation exchange capacity, available potassium, available phosphorus and alkali nitrogen were in range of 22.82%~35.60%, with moderate variability. In addition to the variability of catalase was smaller, the variation coefficient of enzyme activity, mechanical composition and microaggregate in soil was 10.54%~38.21%, which was with moderate variability. The variability of microbes in soil was strong (in range of 52.59%~84.64%), in the sequence of bacteria > actinomycetes > fungi. Correlation analysis showed that pH, sand, invertase, acid phosphatase and catalase in soil had strong negative correlation with organic matter, cation exchange capacity, clay, available phosphorus, available potassium, fungi and urease in soil. While, there was a strong positive correlation between organic matter, cation exchange capacity, cosmid, available phosphorus, available potassium, fungi and urease. Principal component analysis results indicated that pH, organic matter, bulk density, available potassium and alkali nitrogen were key factors in soil physical and chemical properties.
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  • 环境保护部, 国土资源部. 全国土壤污染状况调查公报[J]. 中国环保产业, 2014, 36(5):10-11.
    ZHEN Y H, CHENG Y J, PAN G Z, et al. Cd, Zn and Se content of the polished rice samples from some Chinese open markets and their relevance to food safety[J]. Journal of Safety & Environment, 2008, 8:119-122.
    李心, 林大松, 刘岩, 等. 不同土壤调理剂对镉污染水稻田控镉效应研究[J]. 农业环境科学学报, 2018, 37(7):1511-1520.
    宗良纲, 徐晓炎. 水稻对土壤中镉的吸收及其调控措施[J].生态学杂志,2004, 23(3):120-123.
    陈爱葵, 王茂意, 刘晓海, 等. 水稻对重金属镉的吸收及耐性机理研究进展[J]. 生态科学, 2013, 32(4):514-522.
    ROY M, MCDONALD L M. Metal uptake in plants and health risk assessments in metal-contaminated smelter soils[J]. Land Degradation & Development, 2015, 26(8):785-792.
    KUPERMAN R G, CARREIRO M M. Soil heavy metal concentrations, microbial biomass and enzyme activities in a contaminated grassland ecosystem[J]. Soil Biology & Biochemistry, 1997, 29(2):179-190.
    万金颖, 纪玉琨, 巨振海, 等. 污水灌溉区土壤重金属的空间分布特征[J]. 环境工程, 2006,24(2):87-89.
    况琴, 黄庭, 向京, 等. 鄂西北某农田保护区土壤重金属分布特征及生态风险评价[J]. 环境工程, 2019, 37(5):45-49.
    阿卜杜萨拉木·阿布都加帕尔, 王宏卫, 杨胜天, 等. 露天煤矿周边不同深度土壤重金属空间变异及分布特征[J]. 土壤, 2018, 50(2):376-384.
    杜平, 赵欢欢, 王世杰, 等. 大冶市农田土壤中镉的空间分布特征及污染评价[J]. 土壤, 2013, 45(6):1028-1035.
    周利军, 武琳, 林小兵, 等. 土壤调理剂对镉污染稻田修复效果[J]. 环境科学, 2019, 40(11):5098-5106.
    鲁如坤. 土壤农业化学分析方法[M]. 北京:中国农业科技出版社, 2000.
    雷志栋, 杨诗秀. 土壤特性空间变异性初步研究[J]. 水利学报, 1985(9):10-21.
    周国华. 土壤重金属生物有效性研究进展[J]. 物探与化探, 2014, 38(6):1097-1106.
    于亚军, 贺泽好. 三种复垦类型煤矸山土壤重金属有效态含量及其影响因素分析[J]. 环境工程, 2018, 36(5):189-192.
    古一帆, 何明, 李进玲, 等. 上海奉贤区土壤理化性质与重金属含量的关系[J]. 上海交通大学学报(农业科学版), 2009, 28(6): 601-605.
    邹小冷, 祖艳群, 李元, 等. 云南某铅锌矿区周边农田土壤Cd、Pb分布特征及风险评价[J]. 农业环境科学学报, 2014, 33(11): 2143-2148.
    时雷雷. 海南尖峰岭热带山地雨林原始林土壤理化性质空间异质性研究[D]. 北京:中国林业科学研究院, 2012.
    张春华, 王佩, 王可, 等. 小尺度下烟田土壤养分空间变异性研究[J]. 中国烟草科学, 2014, 35(5): 74-78.
    刁展. 外源重金属对不同类型土壤养分及微生物活性的影响[D].杨凌: 西北农林科技大学, 2016.
    ZHANG C, NIE S, LIANG J, et al. Effects of heavy metals and soil physicochemical properties on wetland soil microbial biomass and bacterial community structure[J]. Science of the Total Environment, 2016, 557/558: 785-790.
    张雪晴, 张琴, 程园园, 等. 铜矿重金属污染对土壤微生物群落多样性和酶活力的影响[J]. 生态环境学报, 2016, 25(3): 517-522.
    刘沙沙, 付建平, 蔡信德, 等. 重金属污染对土壤微生物生态特征的影响研究进展[J]. 生态环境学报, 2018, 27(6): 1173-1178.
    TAYEEBI B, AHANGARA G. The influence of heavy metals on the development and activity of soil microorganisms[J]. International Journal of Plant, Animal and Environmental Sciences, 2014, 4: 74-85.
    杨滨娟, 黄国勤, 吴龙华, 等. 施氮和冬种绿肥对稻田土壤重金属含量、微生物数量及酶活性的影响[J]. 生态科学, 2018, 37(3): 1-10.
    卢晓强, 杨万霞, 奚月明, 等. 喀斯特地区不同植被恢复类型对土壤化学及微生物生物量的影响[J]. 南京林业大学学报(自然科学版),2015, 39(5): 73-80.
    尹继清, 范弢. 滇东南峰林湖盆区土壤理化性质的空间异质性分析[J]. 中国农业科技导报, 2017, 19(9): 117-127.
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