Paulo Roberto Megna Francisco, Djail Santos, F. P. D. Oliveira, George do Nascimento Ribeiro, Viviane Farias Silva, Gypson Dutra Junqueira Ayres, Raimundo Calixto Martins Rodrigues
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{"title":"Natural Erosion Potential of Soils in the State of Paraíba using GIS","authors":"Paulo Roberto Megna Francisco, Djail Santos, F. P. D. Oliveira, George do Nascimento Ribeiro, Viviane Farias Silva, Gypson Dutra Junqueira Ayres, Raimundo Calixto Martins Rodrigues","doi":"10.29150/jhrs.v13.2.p296-309","DOIUrl":null,"url":null,"abstract":"This work estimated the Natural Erosion Potential using the K, R and S Factors for the lands of the State of Paraíba. A digital altimetry mosaic was used and the slope (S) was generated using QGIS© and the soil erodibility (K) was determined for the granulometric parameters M and the soil permeability P based on the information contained in the representative profiles of the Soil Bulletins of the State of Paraíba and the Agricultural Zoning of the State of Paraíba. The rainfall erosivity (R) was used rainfall records of 125 stations from the period 1940 to 1994 with series of 30 years of record of climatically homogeneous regions was converted the values of daily precipitation (P) into values of erosivity (EI30) and specialized using kriging. The Natural Erosion Potential (PNE) was estimated by the product of the K, R and S parameters using geoprocessing techniques. According to the results, the S factor had less influence on the natural erosion potential in relation to the R factors with 38.79% in the middle class and K with 31.03% in the upper class. The results portrayed with reasonable fidelity the current state of the land and demonstrated that the natural erosion potential ranged from 50 to 250 Mg ha-1 year-1 in 59.63% of the area and are associated with Neosols, Luvisols and Argisols.","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"39 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hyperspectral Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29150/jhrs.v13.2.p296-309","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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利用地理信息系统分析帕拉伊巴州土壤的自然侵蚀潜力
这项研究利用 K、R 和 S 因子估算了帕拉伊巴州土地的自然侵蚀潜力。使用了数字测高镶嵌图,利用 QGIS© 生成了坡度 (S),并根据《帕拉伊巴州土壤公报》和《帕拉伊巴州农业区划》的代表性剖面图中包含的信息,确定了颗粒度参数 M 和土壤渗透性 P 的土壤侵蚀性 (K)。降雨侵蚀率(R)使用的是 1940 年至 1994 年期间 125 个站点的降雨记录,其中包括气候均一地区 30 年的系列记录,将日降水量(P)值转换为侵蚀率(EI30)值,并使用克里金法进行专门计算。自然侵蚀潜势(PNE)是利用地质处理技术,通过 K、R 和 S 参数的乘积估算出来的。结果表明,与 R 因子相比,S 因子对自然侵蚀潜力的影响较小,在中层为 38.79%,在高层为 31.03%。结果合理真实地反映了土地的现状,并表明在 59.63% 的区域中,自然侵蚀潜力介于 50 至 250 兆克/公顷-年-1 之间,并与新土壤、Luvisols 和 Argisols 有关。
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