{"title":"两种冲积土中阿特拉津迁移率的实测与模拟比较","authors":"D. Persicani, P. Siro, G. Gasparetti, M. Bonvini","doi":"10.1016/S0933-3630(96)00004-9","DOIUrl":null,"url":null,"abstract":"<div><p>Atrazine was applied on a sandy loam, Typic Fluvaquent and a silty loam, Typic Udifluvent at a 1.4 kg ha<sup>−1</sup> a.i. rate on March 28, 1989. One month later, soil samples were taken at a 60 cm depth for measurement of the atrazine concentration. Similar concentrations were measured in the two soils. The atrazine transport was also simulated by using a physically-based model (HYDRUS). Analyses showed that HYDRUS predicted the atrazine mobility. A sensitivity analysis of the model with respect to sorption, degradation and hydraulic parameters showed that the sorption one was the most relevant in the simulation process. By calibrating the model with the best-fitted Kd value, the model predictions were appreciably improved.</p></div>","PeriodicalId":101170,"journal":{"name":"Soil Technology","volume":"9 4","pages":"Pages 281-298"},"PeriodicalIF":0.0000,"publicationDate":"1996-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0933-3630(96)00004-9","citationCount":"7","resultStr":"{\"title\":\"Comparison of measured and simulated atrazine mobility in two alluvial soils\",\"authors\":\"D. Persicani, P. Siro, G. Gasparetti, M. Bonvini\",\"doi\":\"10.1016/S0933-3630(96)00004-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Atrazine was applied on a sandy loam, Typic Fluvaquent and a silty loam, Typic Udifluvent at a 1.4 kg ha<sup>−1</sup> a.i. rate on March 28, 1989. One month later, soil samples were taken at a 60 cm depth for measurement of the atrazine concentration. Similar concentrations were measured in the two soils. The atrazine transport was also simulated by using a physically-based model (HYDRUS). Analyses showed that HYDRUS predicted the atrazine mobility. A sensitivity analysis of the model with respect to sorption, degradation and hydraulic parameters showed that the sorption one was the most relevant in the simulation process. By calibrating the model with the best-fitted Kd value, the model predictions were appreciably improved.</p></div>\",\"PeriodicalId\":101170,\"journal\":{\"name\":\"Soil Technology\",\"volume\":\"9 4\",\"pages\":\"Pages 281-298\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/S0933-3630(96)00004-9\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Soil Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0933363096000049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soil Technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0933363096000049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of measured and simulated atrazine mobility in two alluvial soils
Atrazine was applied on a sandy loam, Typic Fluvaquent and a silty loam, Typic Udifluvent at a 1.4 kg ha−1 a.i. rate on March 28, 1989. One month later, soil samples were taken at a 60 cm depth for measurement of the atrazine concentration. Similar concentrations were measured in the two soils. The atrazine transport was also simulated by using a physically-based model (HYDRUS). Analyses showed that HYDRUS predicted the atrazine mobility. A sensitivity analysis of the model with respect to sorption, degradation and hydraulic parameters showed that the sorption one was the most relevant in the simulation process. By calibrating the model with the best-fitted Kd value, the model predictions were appreciably improved.