Open AccessThe spatial distribution of soil nutrients matter and variation characteristics of Datong Abandoned Coal Mine area in Huainan City
Author(s) -
Sun Xian-bin,
Liangping Sun,
Xing Zhang,
Guangyao Li,
Maohui Yu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1732/1/012100
Subject(s) - spatial variability , spatial distribution , environmental science , organic matter , soil nutrients , nutrient , soil science , vegetation (pathology) , spatial ecology , soil organic matter , hydrology (agriculture) , soil water , geology , ecology , remote sensing , geotechnical engineering , biology , medicine , statistics , mathematics , pathology
This paper describes the analysis of nutrients matter in soil sampled from Datong abandoned mining area in Huainan City. Spatial interpolation in GIS is applied to the revelation of spatial distribution of nutrients matter. Results show that: In abandoned land in Datong coal mining, the level of available phosphorus in soil was very short and the following grades, and the level of nitrogen was short grades, and the level of organic matter was medium and the following grades. Distribution of these heavy metals present a stronger spatial relevance because their spatial pattern are mainly influenced by natural factors such as complex micro-geomorphology, vegetation, topography, strongly human disturbance and other structural factors. All of spatial variability was middle and small scale. Characteristic of spatial variation was relation with the complex distribution object. Random factors, such as sampling interval, soil type and so on, play a relatively greater role in spatial variability of nutrients matter.