首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >DETECTION OF THE NITRATE POLLUTION SOURCES IN SHALLOW AQUIFER, USING INTEGRATION OF RS&GIS WITH STABLE ISOTOPES TECHNOLOGIES
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DETECTION OF THE NITRATE POLLUTION SOURCES IN SHALLOW AQUIFER, USING INTEGRATION OF RS&GIS WITH STABLE ISOTOPES TECHNOLOGIES

机译:RS&GIS与稳定同位素技术相结合的浅层含水层硝酸盐污染源的检测

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Geographical information system (GIS) and remote sensing technique is a tool which is used for acquiring data from space, storing, analyzing and displaying spatial data, also can use for investigating source of environmental pollution which is affect health. Sudan landsat mosaic image which acquired in 2013 was used in this study to develop land use and land cover maps for tow selected study area, Khartoum urban area, and Bara locality in North kordofan state western Sudan. The main objective to assess the source of Nitrate pollution in shallow aquifer. ERDAS software was used to create land cover-land use maps for the study areas. For Khartoum town we used land sat mosaic image which acquire in 2013, and used supervised classification which more closely controlled than unsupervised. In this process, we select pixel that represent patterns you recognized or can identify with help from knowledge of the data, the classes desired, and the algorithm to be used is required. In this paper we integrated the (GIS&RS), and stable isotopes methods for fingerprinting Nitrate sources in shallow boreholes. The global positioning system (GPS), used in the field to identify the shallow boreholes location in a three dimensional coordinate (Latitude, longitude, and altitude), Water samples were collected from 19 shallow boreholes in the study areas according to the standard sampling method send to laboratory to measure stable nitrogen (δ15Nnitrate), and Nitrate-oxygen (δ18Onitrate) isotopes. Analysis were conducted by using isotope ratio mass spectrometry (IRMS). We can conclude that, special distribution and integration of GIs & RS help to identify the source of nitrate pollution.
机译:地理信息系统(GIS)和遥感技术是一种用于从空间获取数据,存储,分析和显示空间数据的工具,也可用于调查影响健康的环境污染源。这项研究使用了2013年获得的苏丹陆地卫星镶嵌图像,为苏丹西部北科尔多凡州的两个选定研究区域,喀土穆市区和巴拉地区绘制了土地利用和土地覆盖图。评估浅层含水层中硝酸盐污染源的主要目的。 ERDAS软件用于创建研究区域的土地覆盖土地使用图。对于喀土穆镇,我们使用了在2013年获取的陆地卫星图像,并使用了比无人监督更为严格控制的有监督分类。在此过程中,我们选择代表您识别的图案的像素或可以在数据知识,所需类别和要使用的算法的帮助下进行识别的像素。在本文中,我们结合了(GIS&RS)和稳定同位素方法对浅孔硝酸盐源进行指纹识别。全球定位系统(GPS),用于在野外识别三维坐标(纬度,经度和海拔)中的浅孔位置,根据标准采样方法从研究区域的19个浅孔中采集了水样发送到实验室以测量稳定的氮(δ15硝酸盐)和硝酸盐-氧(δ18硝酸盐)同位素。通过使用同位素比率质谱法(IRMS)进行分析。我们可以得出结论,地理标志和遥感的特殊分布和集成有助于识别硝酸盐污染的来源。

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