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Three-Dimensional Spatial Distribution and Influential Factors of Soil Total Nitrogen in a Coal Mining Subsidence Area

Author

Listed:
  • Huijuan Zhang

    (School of Public Administration, North China University of Water Resources and Hydropower, Zhengzhou 450046, China)

  • Wenkai Liu

    (School of Public Administration, North China University of Water Resources and Hydropower, Zhengzhou 450046, China)

  • Qiuxia Zhang

    (School of Public Administration, North China University of Water Resources and Hydropower, Zhengzhou 450046, China)

  • Xiaodong Huang

    (College of Water Resources, North China University of Water Resources and Hydropower, Zhengzhou 450046, China)

Abstract

Soil nitrogen is very important for crop growth and development. However, the factors affecting the three-dimensional spatial distribution of soil total nitrogen (TN), particularly in coal mining subsidence areas, are unclear. In this study, Markov geostatistics was used to analyse the three-dimensional spatial distribution characteristics and influential factors of TN by examining 180 soil samples from the Zhaogu mine in China. The results showed that the TN content was significantly different at different soil depths (0–20, 20–40, 40–60 cm) and decreased with increasing soil depth. The variation coefficient of the TN content decreased gradually from top to bottom, ranging from 18.18 to 25.62%. In addition, the TN content was greatly affected by mining subsidence, rainfall, irrigation, fertilization and management mode. The factors that influenced the TN content also varied across different slope positions. The TN content of the upslope was the highest, and the TN content of the middle slope was the lowest. These results can provide research ideas and technical countermeasures for ecological environment improvement and sustainable land development in coal mining subsidence areas.

Suggested Citation

  • Huijuan Zhang & Wenkai Liu & Qiuxia Zhang & Xiaodong Huang, 2022. "Three-Dimensional Spatial Distribution and Influential Factors of Soil Total Nitrogen in a Coal Mining Subsidence Area," Sustainability, MDPI, vol. 14(13), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7897-:d:850862
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    References listed on IDEAS

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    1. Ying-Qiang Song & Lian-An Yang & Bo Li & Yue-Ming Hu & An-Le Wang & Wu Zhou & Xue-Sen Cui & Yi-Lun Liu, 2017. "Spatial Prediction of Soil Organic Matter Using a Hybrid Geostatistical Model of an Extreme Learning Machine and Ordinary Kriging," Sustainability, MDPI, vol. 9(5), pages 1-17, May.
    2. Jinlin Li & Lanhui Zhang & Chansheng He & Chen Zhao, 2018. "A Comparison of Markov Chain Random Field and Ordinary Kriging Methods for Calculating Soil Texture in a Mountainous Watershed, Northwest China," Sustainability, MDPI, vol. 10(8), pages 1-18, August.
    3. Yan Tong & Haipeng Niu & Liangxin Fan, 2016. "Willingness of Farmers to Transform Vacant Rural Residential Land into Cultivated Land in a Major Grain-Producing Area of Central China," Sustainability, MDPI, vol. 8(11), pages 1-15, November.
    4. Linli Long & Ying Liu & Xiaoyang Chen & Junting Guo & Xinhui Li & Yangnan Guo & Xuyang Zhang & Shaogang Lei, 2022. "Analysis of Spatial Variability and Influencing Factors of Soil Nutrients in Western China: A Case Study of the Daliuta Mining Area," Sustainability, MDPI, vol. 14(5), pages 1-18, February.
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