scholarly journals Spectroscopic Diagnosis of Arsenic Contamination in Agricultural Soils

Sensors ◽  
2017 ◽  
Vol 17 (5) ◽  
pp. 1036 ◽  
Author(s):  
Tiezhu Shi ◽  
Huizeng Liu ◽  
Yiyun Chen ◽  
Teng Fei ◽  
Junjie Wang ◽  
...  
Keyword(s):  
Agricultural Soils ◽  
Arsenic Contamination

Arsenic contamination in agricultural soils of Bengal deltaic region of West Bengal and its higher assimilation in monsoon rice

2017 ◽  
Vol 324 ◽  
pp. 526-534 ◽  
Author(s):  
Anamika Shrivastava ◽  
Anil Barla ◽  
Surjit Singh ◽  
Shivanand Mandraha ◽  
Sutapa Bose
Keyword(s):  
West Bengal ◽  
Agricultural Soils ◽  
Arsenic Contamination

Monitoring Arsenic Contamination in Agricultural Soils with Reflectance Spectroscopy of Rice Plants

2014 ◽  
Vol 48 (11) ◽  
pp. 6264-6272 ◽  
Author(s):  
Tiezhu Shi ◽  
Huizeng Liu ◽  
Junjie Wang ◽  
Yiyun Chen ◽  
Teng Fei ◽  
...  
Keyword(s):  
Agricultural Soils ◽  
Reflectance Spectroscopy ◽  
Arsenic Contamination ◽  
Rice Plants

Source identification of arsenic contamination in agricultural soils surrounding a closed Cu smelter, South Korea

Chemosphere ◽  
2019 ◽  
Vol 217 ◽  
pp. 183-194 ◽  
Author(s):  
Pyeong-Koo Lee ◽  
Soonyoung Yu ◽  
Youn-Joong Jeong ◽  
Jieun Seo ◽  
Seon–Gyu Choi ◽  
...  
Keyword(s):  
South Korea ◽  
Source Identification ◽  
Agricultural Soils ◽  
Arsenic Contamination

scholarly journals Assessment of Potential Location of High Arsenic Contamination Using Fuzzy Overlay and Spatial Anisotropy Approach in Iron Mine Surrounding Area

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Thanes Weerasiri ◽  
Wanpen Wirojanagud ◽  
Thares Srisatit
Keyword(s):  
Agricultural Soils ◽  
Ground Level ◽  
Arsenic Contamination ◽  
Soil Samples ◽  
Arsenic Content ◽  
Spatial Anisotropy ◽  
Raster Maps ◽  
National Environment ◽  
High Arsenic ◽  
Overlay Approach

Fuzzy overlay approach on three raster maps including land slope, soil type, and distance to stream can be used to identify the most potential locations of high arsenic contamination in soils. Verification of high arsenic contamination was made by collection samples and analysis of arsenic content and interpolation surface by spatial anisotropic method. A total of 51 soil samples were collected at the potential contaminated location clarified by fuzzy overlay approach. At each location, soil samples were taken at the depth of 0.00-1.00 m from the surface ground level. Interpolation surface of the analysed arsenic content using spatial anisotropic would verify the potential arsenic contamination location obtained from fuzzy overlay outputs. Both outputs of the spatial surface anisotropic and the fuzzy overlay mapping were significantly spatially conformed. Three contaminated areas with arsenic concentrations of7.19±2.86,6.60±3.04, and4.90±2.67 mg/kg exceeded the arsenic content of 3.9 mg/kg, the maximum concentration level (MCL) for agricultural soils as designated by Office of National Environment Board of Thailand. It is concluded that fuzzy overlay mapping could be employed for identification of potential contamination area with the verification by surface anisotropic approach including intensive sampling and analysis of the substances of interest.

Examination of NOxand CO2production in agricultural soils

2007 ◽  
Vol 35 (2) ◽  
pp. 689-692 ◽  
Author(s):  
Krisztina Kristóf ◽  
Györgyi Kampfl ◽  
György Heltai ◽  
Erika Nótás ◽  
Abdousalam Algaidi
Keyword(s):  
Agricultural Soils
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