{"title":"4 Methodology","authors":"J. Kunert","doi":"10.5771/9783845272726-113","DOIUrl":null,"url":null,"abstract":"In this section a detailed description of the methodology developed for modeling agrichemical transport is presented. Two agrichemicals are selected: a nutrient, nitrate plus nitrite as nitrogen, and a herbicide, atrazine. These chemicals are introduced in Section 4.1. Section 4.2 describes two geographic analysis regions: one region used for developing a statistical model, and another smaller region used for GIS model development and its verification. The regression equations that relate chemical concentrations to the chemical application on the field, selected watershed descriptors, climatic variables, and the month of a year, are developed utilizing the USGS data collected in more than 150 watersheds scattered over the Mississippi-Missouri Basin above Thebes, Illinois, and the Ohio Basin above Grand Chain, Illinois. A GIS application of these equations is developed and verified for the Iowa-Cedar River watershed located in Iowa and Minnesota. A detailed mathematical description of the statistical model is presented in Section 4.3. It provides an overview of the transport equations, introduces the explanatory variables which explain the spatial and seasonal (monthly) variations of the nitrate and atrazine concentrations in surface waters, and explains the concept of spatio-temporal \" cascade \" modeling within GIS. The watershed parameters of the statistical model are estimated from the 500 m DEM. The GIS model of agrichemical transport in the Iowa-Cedar River basin is presented in Sections 4.4-4.6. Section 4.4 describes the methodology of discretizing the watershed, i.e., subdividing the basin into small (about 30 km 2) hydrologic units and determining the flow connectivity between these units utilizing the 3 arc-sec DEM.","PeriodicalId":169911,"journal":{"name":"Moves - Spaces - Places","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Moves - Spaces - Places","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5771/9783845272726-113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this section a detailed description of the methodology developed for modeling agrichemical transport is presented. Two agrichemicals are selected: a nutrient, nitrate plus nitrite as nitrogen, and a herbicide, atrazine. These chemicals are introduced in Section 4.1. Section 4.2 describes two geographic analysis regions: one region used for developing a statistical model, and another smaller region used for GIS model development and its verification. The regression equations that relate chemical concentrations to the chemical application on the field, selected watershed descriptors, climatic variables, and the month of a year, are developed utilizing the USGS data collected in more than 150 watersheds scattered over the Mississippi-Missouri Basin above Thebes, Illinois, and the Ohio Basin above Grand Chain, Illinois. A GIS application of these equations is developed and verified for the Iowa-Cedar River watershed located in Iowa and Minnesota. A detailed mathematical description of the statistical model is presented in Section 4.3. It provides an overview of the transport equations, introduces the explanatory variables which explain the spatial and seasonal (monthly) variations of the nitrate and atrazine concentrations in surface waters, and explains the concept of spatio-temporal " cascade " modeling within GIS. The watershed parameters of the statistical model are estimated from the 500 m DEM. The GIS model of agrichemical transport in the Iowa-Cedar River basin is presented in Sections 4.4-4.6. Section 4.4 describes the methodology of discretizing the watershed, i.e., subdividing the basin into small (about 30 km 2) hydrologic units and determining the flow connectivity between these units utilizing the 3 arc-sec DEM.
在本节中,详细描述了为模拟农业化学品运输而开发的方法。选择了两种农药:一种是营养物,硝酸盐加亚硝酸盐作为氮,一种是除草剂,阿特拉津。这些化学物质将在4.1节中介绍。第4.2节描述了两个地理分析区域:一个区域用于开发统计模型,另一个较小的区域用于GIS模型开发及其验证。回归方程将化学浓度与田间化学应用、选定的流域描述符、气候变量和一年的月份联系起来,利用美国地质勘探局收集的150多个流域的数据开发出来,这些流域分布在伊利诺伊州底比斯的密西西比-密苏里盆地和伊利诺伊州大链上方的俄亥俄盆地。在爱荷华州和明尼苏达州的爱荷华-雪松河流域开发并验证了这些方程的GIS应用。统计模型的详细数学描述见第4.3节。它概述了运输方程,介绍了解释地表水中硝酸盐和阿特拉津浓度的空间和季节(月)变化的解释变量,并解释了GIS中时空“级联”建模的概念。统计模型的流域参数由500 m DEM估算。第4.4-4.6节介绍了爱荷华-雪松河流域农用化学品运输的GIS模型。第4.4节描述了离散流域的方法,即将流域细分为小的(约30平方公里)水文单元,并利用3弧秒DEM确定这些单元之间的流量连通性。