当前位置: X-MOL 学术Earth Sci. Inform. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A study on the analysis of heavy metal concentration using spectral mixture modelling approach and regression in Tirupur, India
Earth Science Informatics ( IF 2.8 ) Pub Date : 2021-08-06 , DOI: 10.1007/s12145-021-00678-3
G. Wiselin Jiji 1
Affiliation  

The increase of toxic concentration leads environmental pollution. Soil pollution has become the most important problem of current scenario due to the rapid growth of industries. The pollution level can be measured based on the concentration of heavy metals in soil. This work focus on the level of heavy metal concentration in Soil because of water pollution in Tirupur District, Tamilnadu, India, known for dying activities. The heavy metal concentrations have been investigated using soil samples and remote sensing data (Landsat 8 OLI images) with the relevant soil standards. Spectral mixture modelling approach and regression analysis are applied to the field and remote sensing data to map heavy metal contamination in soil. Finally, the element concentration of remote sensing data was correlated with in-situ data and results are analyzed.



中文翻译:

使用光谱混合建模方法和回归分析印度蒂鲁布尔的重金属浓度研究

毒物浓度的增加导致环境污染。由于工业的快速增长,土壤污染已成为当前情景中最重要的问题。污染程度可以根据土壤中重金属的浓度来衡量。这项工作的重点是在以死亡活动而闻名的印度泰米尔纳德邦蒂鲁布尔区因水污染而导致的土壤中重金属浓度水平。使用土壤样品和遥感数据(Landsat 8 OLI 图像)和相关土壤标准对重金属浓度进行了调查。将光谱混合建模方法和回归分析应用于实地和遥感数据,以绘制土壤中的重金属污染图。最后,将遥感数据的元素浓度与原位数据进行关联,并对结果进行分析。

更新日期:2021-08-09
down
wechat
bug