{"title":"Estimation of paddy rice planted area in an upstream basin: -Analysis based on National Land Numerical Information and Statistics of Agriculture-","authors":"N. Iwasaki, K. Inao, T. Nagai","doi":"10.5638/THAGIS.24.31","DOIUrl":null,"url":null,"abstract":": The promotion of paddy rice planted area is one of the important factors for estimating pesticide concentration in river water. The aim of this paper is estimating a ratio of paddy rice planted area derived from the National Land Numerical Information (NLNI) and statistics of agriculture using FOSS4G (Free and Open Source Software for Geospatial). First, we developed a spatial database about land use and river basin. And we calculated factors to convert paddy categories in NLNI to paddy rice planted area based on agricultural statistics. Then, the ratio of paddy rice planted area of prefectures, river systems and upstream basin area on river discharge monitoring sites were estimated. It is concluded that the estimation based on NLNI and statistics of agriculture reflected characteristic of the upstream basin at river discharge monitoring sites.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"241 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theory and Applications of GIS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5638/THAGIS.24.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
: The promotion of paddy rice planted area is one of the important factors for estimating pesticide concentration in river water. The aim of this paper is estimating a ratio of paddy rice planted area derived from the National Land Numerical Information (NLNI) and statistics of agriculture using FOSS4G (Free and Open Source Software for Geospatial). First, we developed a spatial database about land use and river basin. And we calculated factors to convert paddy categories in NLNI to paddy rice planted area based on agricultural statistics. Then, the ratio of paddy rice planted area of prefectures, river systems and upstream basin area on river discharge monitoring sites were estimated. It is concluded that the estimation based on NLNI and statistics of agriculture reflected characteristic of the upstream basin at river discharge monitoring sites.
水稻种植面积的增加是估算河水中农药浓度的重要因素之一。本文的目的是利用FOSS4G (Free and Open Source Software for Geospatial),从国家土地数字信息(NLNI)和农业统计数据中估算出水稻种植面积的比例。首先,建立了土地利用和流域空间数据库。并在农业统计的基础上,通过计算因子将NLNI的水稻种类转换为水稻种植面积。然后,估算了各县、水系和上游流域水稻种植面积在河流流量监测点上的比例。结果表明,基于NLNI和农业统计的估算反映了河流流量监测点上游流域的特征。