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Volume 42 Issue 12
Dec.  2024
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Article Navigation >  ENVIRONMENTAL ENGINEERING  > 2024  >  42(12): 229-236
XU Yi, JIANG Xu, XU Yingming. EFFECT OF ADDING KNO3 AND KH2PO4 ON IMMOBILIZATION REMEDIATION OF CADMIUM IN POLLUTED SOIL[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(12): 229-236. doi: 10.13205/j.hjgc.202412027
Citation: XU Yi, JIANG Xu, XU Yingming. EFFECT OF ADDING KNO3 AND KH2PO4 ON IMMOBILIZATION REMEDIATION OF CADMIUM IN POLLUTED SOIL[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(12): 229-236. doi: 10.13205/j.hjgc.202412027
shu

EFFECT OF ADDING KNO3 AND KH2PO4 ON IMMOBILIZATION REMEDIATION OF CADMIUM IN POLLUTED SOIL

doi: 10.13205/j.hjgc.202412027

  • 1. Tianjin Survey and Design Institute Group Co., Ltd., Tianjin 300191, China;

  • 2. Ago-Environmental Protection Institute of Ministry of Agriculture and Rural Affairs, Tianjin 300191, China

  • Received Date: 2024-05-21
    Available Online: 2025-01-18
    Abstract
  • Immobilization remediation is a commonly used remediation method for soil cadmium pollution, but there is poor research on the effect of fertilization on the immobilization remediation of soil Cd pollution. In this paper, KNO3 (K1) and KH2PO4 (K2) were added in Cd polluted soil, and sepiolite was used as an amendment. Through the rape pot experiment, the effects of adding different doses of two potassium fertilizers on the remediation effect of soil Cd pollution under the condition of sepiolite immobilization (S) were studied. The results showed that compared with S treatment, in S+K1 treatment, the soil available Cd content increased by 22.58% to 29.03%, but there was no significant difference between different doses of KNO3 added. The soil available Cd content increased by 6.45% to 32.26% in S+K2L and S+K2M treatments, but decreased with the increase of KH2PO4 addition. Compared with S treatment, the content of available Cu, Zn and Mn in soil increased by 7.83% to 11.98%, 0.54% to 6.17% and 49.13% to 63.83%, respectively, when different doses of KNO3 were added in sepiolite immobilization treatment. Adding different doses of KH2PO4 could increase the contents of available Cu, Zn and Mn in soil by 8.99% to 12.44%, 25.20% to 31.37%, and 86.65% to 94.58%, respectively. Compared with S treatment, S+K1 treatment significantly increased the cadmium content in rape shoot, with an increased rate of 31.79% to 43.16% (P<0.05), but there was no significant difference between S+K2 and S treatment. In addition, under the immobilization remediation of sepiolite, the addition of two types of potassium fertilizers also had a significant impact on Cu and Zn content in rape shoots. The research results can provide important references for scientific application of potassium fertilizer in the safe utilization of Cd-polluted farmland.
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  • [1]
    李剑睿,徐应明,林大松,等. 农田重金属污染原位钝化修复研究进展[J]. 生态环境学报,2014,23(4):721-728.
    [2]
    毛欣宇,翟森茂,姜小三,等. 不同改性生物炭对农田土壤理化性质及铅、镉钝化的影响机制研究[J]. 环境工程,2023,41(2):113-121

    ,139.
    [3]
    GUO G, ZHOU Q, MA L Q. Availability and assessment of fixing additives for the in situ remediation of heavy metal contaminated soils: a review[J]. Environmental Monitoring and Assessment, 2006, 116(3):513-528.
    [4]
    LIANG X F, HAN J, XU Y M, et al. In situ field-scale remediation of Cd polluted paddy soil using sepiolite and palygorskite[J]. Geoderma, 2014, 235: 9-18.
    [5]
    CHEN D, YE X Z, ZHANG Q, et al. The effect of sepiolite application on rice Cd uptake:a two-year field study in Southern China[J]. Journal of Environmental Management, 2020, 254: 109788.
    [6]
    ZHU Y G, SHAW G, NISBET A F, et al. Effect of potassium supply on the uptake of 137Cs by spring wheat (Triticum aestivum, cv. Tonic): a lysimeter study[J]. Radiation Environmental. Biophysics, 2000, 39: 283-290.
    [7]
    ZHAO Z Q, ZHU Y G, LI H Y, et al. Effects of forms and rates of potassium fertilizers on cadmium uptake by two cultivars of spring wheat (Triticum aestivum. L)[J]. Environment International, 2004, 29(7): 973-978.
    [8]
    邹嘉成,牛莹新,宋付朋,等. 钾肥强化植物间作修复镉锌污染土壤效应研究[J]. 农业环境科学学报,2022,41(2):304-312.
    [9]
    衣纯真,傅桂平,张福锁,等.不同钾肥对水稻镉吸收和运移的影响[J].中国农业大学学报,1996,1(3): 65-70.
    [10]
    黄荣, 徐应明, 黄青青, 等. 二种钾肥对海泡石钝化修复镉污染土壤效应影响的研究[J]. 中国生态农业学报,2018,26(8): 1249-1256.
    [11]
    肖振林,王果,黄瑞卿,等. 酸性土壤中有效态镉提取方法研究[J]. 农业环境科学学报,2008,27(2):795-800.
    [12]
    OKAZAKI M, KIMURA S D, KIKUCHI T, et al. Suppressive effects of magnesium oxide materials on cadmium uptake and accumulation into rice grains Ⅰ: characteristics of magnesium oxide materials for cadmium sorption[J]. Journal of Hazardous Materials, 2008, 154(1): 294-299.
    [13]
    SUN Y B, XU Y, XU Y M et al. Reliability and stability of immobilization remediation of Cd polluted soils using sepiolite under pot and field trials[J]. Environmental Pollution, 2016, 208: 739-746.
    [14]
    王林,徐应明,孙扬,等. 海泡石及其复配材料钝化修复镉污染土壤[J]. 环境工程学报,2010,4(9):2093-2098.
    [15]
    李翔,杨驰浩,刘晔,等. 钝化剂对农田土壤Cd有效性及不同 水稻品种吸收Cd的研究[J]. 环境工程,2021,39(9):211-216.
    [16]
    王磊,安志装,李虎群,等. 不同钾肥对辣椒品质及镉吸收累积的影响[J]. 山东农业大学学报(自然科学版),2021,52(3):371-376.
    [17]
    蒋田雨,姜军,徐仁扣,等. 稻草生物质炭对3种可变电荷土壤吸附Cd(Ⅱ)的影响[J]. 农业环境科学学报,2012,31(6):1111-1117.
    [18]
    徐仁扣,肖双成,赵安珍. 基于Zeta电位的水稻土吸附Pb(Ⅱ)和Cd(Ⅱ)能力的比较[J]. 环境化学,2008,27(6):742-745.
    [19]
    YIN X L, XU Y M, HUANG R, et al. Remediation mechanisms for Cd-contaminated soil using natural sepiolite at the field scale[J]. Environmental Science: Processes and Impacts, 2017, 19(12): 1563-1570.
    [20]
    姜军,徐仁扣. 离子强度对三种可变电荷土壤表面电荷和Zeta电位的影响[J]. 土壤,2015,47(2):422-426.
    [21]
    王碧玲,谢正苗. 磷对铅、锌和镉在土壤固相-液相-植物系统中迁移转化的影响[J]. 环境科学,2008,29(11):3225-3229.
    [22]
    ZWONITZER J C, PIERZYNSKI G M, HETTIARACHCHI G M.Effects of phosphorus additions on lead, cadmium, and zinc bioavailabilities in a metal contaminated soil[J]. Water Air and Soil Pollution, 2003, 143: 193-209.
    [23]
    ZHAO Z Q, ZHU Y G, LI H Y, et al. Effects of forms and rates of potassium fertilizers on cadmium uptake by two cultivars of spring wheat(Triticum aestivum L.)[J]. Environment International, 2003, 29: 973-978.
    [24]
    叶芳芳,崔振岭,陈新平,等. 枸溶性钾肥对铅镉污染土壤芹菜生长及铅镉吸收的影响[J]. 中国农学通报,2015,31(26):133-138.
    [25]
    王小晶,陈怡,王菲,等. 钾肥对镉污染土壤大白菜品质的效应研究[J]. 农业资源与环境学报,2015,32(1):40-47.
    [26]
    KIM C G, BELL J N B, POWER S A. Effects of soil cadmium on Pinus sylvestris L. seedlings[J]. Plant and Soil, 2003, 257(2):443-449.
    [27]
    FLOGEAC K, GUOLLON E, APLINCOURT M. Surface complexation of copper(Ⅱ) on soil particles: EPR and XAFS studies[J]. Environmental Science Technology, 2004, 38: 3098-3103.
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