农业资源与环境学报
農業資源與環境學報
농업자원여배경학보
Journal of Agricultural Resources and Environment
2014年
5期
401-410
,共10页
农药地下水风险评估%暴露模型%China-PEARL%PRZM-GW%潍坊市场景
農藥地下水風險評估%暴露模型%China-PEARL%PRZM-GW%濰坊市場景
농약지하수풍험평고%폭로모형%China-PEARL%PRZM-GW%유방시장경
pesticide groundwater risk assessment%exposure model%China-PEARL%PRZM-GW%Weifang City scenario
农药地下水暴露模型China-PEARL已开始在我国农药地下水风险评估中应用。本文利用China-PEARL潍坊市场景数据,为PRZM-GW构建了潍坊市场景。在潍坊市场景下,利用2个模型计算了56种农药在5种作物上共计145种施用方式下的预测环境浓度(PEC)值,利用商值法(R Q)进行风险评估。结果显示有8种农药共13种施用方式在潍坊市场景下存在不可接受的地下水风险。其中,2个模型均显示有不可接受风险的农药是多菌灵和氟磺胺草醚。2个模型PEC值比较结果显示,PRZM-GW的农药风险评估趋势与China-PEARL一致性高,从而验证了China-PEARL的可信性。模型PEC值影响因素分析显示,土壤有机碳分配系数(Koc)对2个模型输出影响最大,可将Koc>400 L·kg-1作为判断某种农药预测浓度<0.1μg·L-1经验性指标。2个模型的PEC值和土壤好氧半衰期的对数呈线性关系,当土壤好氧半衰期>10 d时,模型的PEC值随土壤好氧半衰期的增大而迅速增高。水解半衰期为PRZM-GW模型输入项,决定了PRZM-GW模型模拟的农药浓度随年变化趋势。水中溶解度是China-PEARL的输入项,但对模型PEC值影响很小。
農藥地下水暴露模型China-PEARL已開始在我國農藥地下水風險評估中應用。本文利用China-PEARL濰坊市場景數據,為PRZM-GW構建瞭濰坊市場景。在濰坊市場景下,利用2箇模型計算瞭56種農藥在5種作物上共計145種施用方式下的預測環境濃度(PEC)值,利用商值法(R Q)進行風險評估。結果顯示有8種農藥共13種施用方式在濰坊市場景下存在不可接受的地下水風險。其中,2箇模型均顯示有不可接受風險的農藥是多菌靈和氟磺胺草醚。2箇模型PEC值比較結果顯示,PRZM-GW的農藥風險評估趨勢與China-PEARL一緻性高,從而驗證瞭China-PEARL的可信性。模型PEC值影響因素分析顯示,土壤有機碳分配繫數(Koc)對2箇模型輸齣影響最大,可將Koc>400 L·kg-1作為判斷某種農藥預測濃度<0.1μg·L-1經驗性指標。2箇模型的PEC值和土壤好氧半衰期的對數呈線性關繫,噹土壤好氧半衰期>10 d時,模型的PEC值隨土壤好氧半衰期的增大而迅速增高。水解半衰期為PRZM-GW模型輸入項,決定瞭PRZM-GW模型模擬的農藥濃度隨年變化趨勢。水中溶解度是China-PEARL的輸入項,但對模型PEC值影響很小。
농약지하수폭로모형China-PEARL이개시재아국농약지하수풍험평고중응용。본문이용China-PEARL유방시장경수거,위PRZM-GW구건료유방시장경。재유방시장경하,이용2개모형계산료56충농약재5충작물상공계145충시용방식하적예측배경농도(PEC)치,이용상치법(R Q)진행풍험평고。결과현시유8충농약공13충시용방식재유방시장경하존재불가접수적지하수풍험。기중,2개모형균현시유불가접수풍험적농약시다균령화불광알초미。2개모형PEC치비교결과현시,PRZM-GW적농약풍험평고추세여China-PEARL일치성고,종이험증료China-PEARL적가신성。모형PEC치영향인소분석현시,토양유궤탄분배계수(Koc)대2개모형수출영향최대,가장Koc>400 L·kg-1작위판단모충농약예측농도<0.1μg·L-1경험성지표。2개모형적PEC치화토양호양반쇠기적대수정선성관계,당토양호양반쇠기>10 d시,모형적PEC치수토양호양반쇠기적증대이신속증고。수해반쇠기위PRZM-GW모형수입항,결정료PRZM-GW모형모의적농약농도수년변화추세。수중용해도시China-PEARL적수입항,단대모형PEC치영향흔소。
China-PEARL is a pesticide exposure model that has been applied to pesticide groundwater risk assessment in China. Weifang City scenario of PRZM-GW was established based on Weifang City scenario data of China-PEARL. PECs(predicted environmental concen-tration)of 56 pesticides applied on 5 crops in 145 application methods were calculated by both China-PEARL and PRZM-GW. The risk characterization results with RQ(risk quotient)showed that the groundwater risk of 8 pesticides in 13 application methods was unacceptable. Among them, carbendazim and fomesafen were assessed as unacceptable groundwater risk by both models. The comparison of PECs of the two models indicated that the evaluating results of PRZM-GW and China-PEARL were highly consistent. It verified the credibility of China-PEARL. The analysis on the factors affecting the outputs of the two models revealed that Koc had the biggest effect on PECs. Koc>400 L·kg-1 could be adopted as a preliminary determination index of PEC<0.1μg·L-1. The PECs showed clearly linearly correlation with logged soil aer-obic half-life. The PECs of the both models increased steeply when soil aerobic half-life>10 d. Hydrolysis half-life was used in PRZM-GW and determined the variation trend of pesticide concentration in groundwater. Solubility in water was an input option of China-PEARL which influenced lightly on PECs.