中国环境科学
中國環境科學
중국배경과학
CHINA ENVIRONMENTAL SCIENCE
2014年
10期
2602-2609
,共8页
田昕竹%陈世宝%王学东%林蕾
田昕竹%陳世寶%王學東%林蕾
전흔죽%진세보%왕학동%림뢰
土壤性质%溶液阴离子%锌%形态%基础诱导硝化%毒性阈值
土壤性質%溶液陰離子%鋅%形態%基礎誘導硝化%毒性閾值
토양성질%용액음리자%자%형태%기출유도초화%독성역치
soil properties%soil solution anions%zinc%speciation%substrated induced nitrification%toxicity threshold
采集了我国具有代表性的12种不同性质土壤,利用基础诱导硝化(SIN)方法测定了不同土壤中锌的微生物毒性阈值,同时利用850离子色谱仪与WHAM6.0模型,测定了溶液不同阴离子组成及自由Zn2+含量,建立了基于不同土壤性质与溶液离子的土壤中Zn毒性预测模型.结果表明,基于SIN测定的不同土壤Zn微生物毒性阈值在不同土壤间有显著差异,其中EC50从196mg/kg至1310mg/kg;EC10值从48mg/kg增加至682mg/kg,不同土壤EC50与EC10的最大值与最小值的比例分别达到了6.68及14.3倍,表明土壤性质对Zn的微生物毒性有非常显著的影响;基于SIN的Zn的毒性阈值ECx(x=10,50)与溶液自由Zn2+浓度的负对数p(Zn2+)间呈正相关关系,表明随着土壤溶液中自由Zn2+值的升高,Zn的毒性逐渐增加.土壤pH值、OC、CEC、F-、Cl-、Ca2+及Mg2+与Zn的毒性阈值ECx(x=10,50)及p(Zn2+)呈正相关关系,其中土壤pH值为最重要的影响因子,偏相关系数均达到极显著水平(P<0.01),其次为OC、CEC及F-,ECx与溶液中NO3-, SO42-呈负相关关系.基于不同主控因子的土壤中Zn毒性阈值(ECx)及P(Zn2+)的预测模型表明,pH值、OC、CEC、F-四个变量因子分别解释了log(EC50)、log(EC10)及p(Zn2+)预测模型变异的89.9%、81.2%和92.3%.
採集瞭我國具有代錶性的12種不同性質土壤,利用基礎誘導硝化(SIN)方法測定瞭不同土壤中鋅的微生物毒性閾值,同時利用850離子色譜儀與WHAM6.0模型,測定瞭溶液不同陰離子組成及自由Zn2+含量,建立瞭基于不同土壤性質與溶液離子的土壤中Zn毒性預測模型.結果錶明,基于SIN測定的不同土壤Zn微生物毒性閾值在不同土壤間有顯著差異,其中EC50從196mg/kg至1310mg/kg;EC10值從48mg/kg增加至682mg/kg,不同土壤EC50與EC10的最大值與最小值的比例分彆達到瞭6.68及14.3倍,錶明土壤性質對Zn的微生物毒性有非常顯著的影響;基于SIN的Zn的毒性閾值ECx(x=10,50)與溶液自由Zn2+濃度的負對數p(Zn2+)間呈正相關關繫,錶明隨著土壤溶液中自由Zn2+值的升高,Zn的毒性逐漸增加.土壤pH值、OC、CEC、F-、Cl-、Ca2+及Mg2+與Zn的毒性閾值ECx(x=10,50)及p(Zn2+)呈正相關關繫,其中土壤pH值為最重要的影響因子,偏相關繫數均達到極顯著水平(P<0.01),其次為OC、CEC及F-,ECx與溶液中NO3-, SO42-呈負相關關繫.基于不同主控因子的土壤中Zn毒性閾值(ECx)及P(Zn2+)的預測模型錶明,pH值、OC、CEC、F-四箇變量因子分彆解釋瞭log(EC50)、log(EC10)及p(Zn2+)預測模型變異的89.9%、81.2%和92.3%.
채집료아국구유대표성적12충불동성질토양,이용기출유도초화(SIN)방법측정료불동토양중자적미생물독성역치,동시이용850리자색보의여WHAM6.0모형,측정료용액불동음리자조성급자유Zn2+함량,건립료기우불동토양성질여용액리자적토양중Zn독성예측모형.결과표명,기우SIN측정적불동토양Zn미생물독성역치재불동토양간유현저차이,기중EC50종196mg/kg지1310mg/kg;EC10치종48mg/kg증가지682mg/kg,불동토양EC50여EC10적최대치여최소치적비례분별체도료6.68급14.3배,표명토양성질대Zn적미생물독성유비상현저적영향;기우SIN적Zn적독성역치ECx(x=10,50)여용액자유Zn2+농도적부대수p(Zn2+)간정정상관관계,표명수착토양용액중자유Zn2+치적승고,Zn적독성축점증가.토양pH치、OC、CEC、F-、Cl-、Ca2+급Mg2+여Zn적독성역치ECx(x=10,50)급p(Zn2+)정정상관관계,기중토양pH치위최중요적영향인자,편상관계수균체도겁현저수평(P<0.01),기차위OC、CEC급F-,ECx여용액중NO3-, SO42-정부상관관계.기우불동주공인자적토양중Zn독성역치(ECx)급P(Zn2+)적예측모형표명,pH치、OC、CEC、F-사개변량인자분별해석료log(EC50)、log(EC10)급p(Zn2+)예측모형변이적89.9%、81.2%화92.3%.
Twelve different samples, representing soils in China, were selected for this experiment on toxicity of Zn to soil microbes as determined by substrated induced nitrification (SIN), meanwhile, the predicted models for Zn toxicity to microbes and free Zn2+in soil solutions were developed based on soil properties and soil solution anions determined by ion chromatograph (850) and WHAM model (6.0). The results showed that the toxicity thresholds of Zn to soil microbes as determined by SIN varied significantly among the soils. The half inhibition of Zn concentration to soil microbes (EC50) ranged from 196 mg/kg to 1310 mg/kg with nearly 6.68-fold variation and the 10%inhibition of Zn concentration to soil microbes (EC10) ranged from 48 mg/kg to 682 mg/kg with a variation of 14.3-fold, indicating the significant influences of soil properties on the toxicity of Zn to microbes. A positive correlation between the toxicity thresholds of Zn (ECx, x=10,50) and the negative logarithm of free Zn2+[p(Zn2+)] in solution were observed, which indicated that the Zn toxicity increased with the concentration of free Zn2+in soil solution. Similarly, the positive correlations between the toxicity thresholds of Zn (ECx, x=10,50) and the pH value, organic carbon (OC), cation exchangeable capacity (CEC) in soils, F-,Cl-,Ca2+and Mg2+etc in soil solution were also observed in this study. The result showed that pH value was the most significant factor with significant partial correlation coefficient (P<0.01), followed by OC、CEC and F-, while negative correlations were observed between the toxicity thresholds of Zn (ECx, x=10,50) and the NO3-, SO42-in solution. The prediction model for Zn toxicity and p(Zn2+) indicated that the pH, OC, CEC and F-could accurately predict Zn toxicity and p(Zn2+) in soil solution with variation coefficients of 89.9%, 81.2% and 92.3% for <br> log(EC50), log(EC10) and p(Zn2+) respectively.