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首页> 外文期刊>Environmental health perspectives. >Linkage of the California Pesticide Use Reporting Database with spatial land use data for exposure assessment.
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Linkage of the California Pesticide Use Reporting Database with spatial land use data for exposure assessment.

机译:加利福尼亚农药使用报告数据库与空间土地使用数据的联系,以进行暴露评估。

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摘要

BACKGROUND: The State of California maintains a comprehensive Pesticide Use Reporting Database (CPUR). The California Department of Water Resources (CDWR) maps all crops in agricultural counties in California about once every 5 years. OBJECTIVE: We integrated crop maps with CPUR to more accurately locate where pesticides are applied and evaluated the effects for exposure assessment. METHODS: We mapped 577 residences and used the CPUR and CDWR data to compute two exposure metrics based on putative pesticide use within a 500-m buffer. For the CPUR metric, we assigned pesticide exposure to the residence proportionally for all square-mile Sections that intersected the buffer. For the CDWR metric, we linked CPUR crop-specific pesticide use to crops mapped within the buffer and assigned pesticide exposure. We compared the metrics for six pesticides: simazine, trifluralin (herbicides), dicofol, propargite (insecticides), methyl bromide, and metam sodium (fumigants). RESULTS: For all six pesticides we found good agreement (88-98%) as to whether the pesticide use was predicted. When we restricted the analysis to residences with reported pesticide use in Sections within 500 m, agreement was greatly reduced (35-58%). The CPUR metric estimates of pesticide use within 500 m were significantly higher than the CDWR metric for all six pesticides. CONCLUSIONS: Our findings may have important implications for exposure classification in epidemiologic studies of agricultural pesticide use using CPUR. There is a need to conduct environmental and biological measurements to ascertain which, if any, of these metrics best represent exposure.
机译:背景:加利福尼亚州维护着一个全面的农药使用报告数据库(CPUR)。加利福尼亚水资源部(CDWR)大约每5年绘制一次加利福尼亚农业县的所有作物的地图。目的:我们将作物地图与CPUR集成在一起,以更准确地定位施药地点并评估暴露评估的效果。方法:我们绘制了577处住所的地图,并使用CPUR和CDWR数据基于500米缓冲区内假定的农药使用量来计算两个暴露指标。对于CPUR指标,我们将与缓冲区相交的所有平方英里区域的农药暴露比例分配给住所。对于CDWR指标,我们将CPUR特定农作物的农药使用与缓冲区内映射的农作物关联并分配了农药暴露。我们比较了六种农药的指标:西玛津,三氟拉林(除草剂),三氯杀螨醇,炔丙基(杀虫剂),甲基溴和间甲酸钠(熏蒸剂)。结果:对于所有六种农药,我们都对是否可以预测使用农药达成了一致(88-98%)。当我们将分析仅限于报告使用农药在500 m以内的住所时,一致性大大降低了(35-58%)。 500 m内农药使用的CPUR度量估计值显着高于所有六种农药的CDWR度量。结论:我们的发现可能对使用CPUR的农业农药使用流行病学研究中的暴露分类具有重要意义。需要进行环境和生物学测量,以确定这些指标中的哪一个(如果有的话)最能代表暴露。

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