Analysis on the Difference of Reconstructed Soil Moisture Content in a Grassland Open-Pit Mining Area of China

Abstract

To reveal the variability of different reconstructed soil ratios and different vegetation growth grades on the water holding capacity of recon-structed soil, the most suitable ratio of reconstructed soil materials was explored. Taking the inner dump of Shengli mining area in Inner Mongolia of China as the research area, the reconstructed soil of reclaimed land was investigated and sampled. One-way analysis of variance was used to analyze the difference of the moisture content of the reconstructed soil, and the reasons for the difference were discussed. The results showed that: (1) Among the different soil reconstructions, soil moisture content was higher when soil reconstructions were rock and soil stripping material: coal gangue: fly ash = 3:4:3. The soil moisture content of un-reclaimed land was mostly at a high level when the soil reconstruction method was rock and soil stripping material; and the soil moisture content was not at the highest level when the vegetation growth grade was higher. This indicates that it was not the case that the better the vegetation growth condition was, the higher the soil moisture content was. (2) In the case where the soil reconstruction method was rock and soil stripping material: coal gangue = 2:3, the soil moisture content of the reclaimed land decreased with the reduction of tillage frequency when the vegetation growth condition was optimal (vegetation growth grade was 4). (3) In the case where the soil reconstruction method was rock and soil stripping material: coal gangue: fly ash = 3:4:3, when the vegetation growth condition was better (vegetation growth grade was 3 and 4), the soil moisture content of the re-claimed land was highest when it was tilled once every 15 days. It was also found in combination with other soil reconstruction methods that it was not always the case that the higher the frequency of tillage, the higher the soil moisture content. The study of coal gangue, fly ash and rocky soil stripping as topsoil substitute materials with their different ratios on reconstructed soil provides support for the reclamation work in topsoil scarce mines and provides technical reference for the ecological restoration project of grassland open-pit mines in the same climate zone.

Ecological Safety Assessment and Convergence of Resource-Based Cities in the Yellow River Basin

“…"The Technical Specification for National Ecological Condition Survey and Evaluation-Evaluation of Ecological Problems" analyzes the technical evaluation requirements for various ecological safety events from the perspective of possible ecological safety problems. Already, scholars using the ecological evaluation research indicator system are concentrated in the four categories of resources [20][21][22], society [23][24][25][26], economy, and ecology [27][28][29][30]. The indicators in technical documents are concentrated on ecological quality, while the ecological expectation of the national strategy and policy aims to improve the comprehensive development of society and economy through the guidance of scientific and technological innovation and the optimization of industry.…”

Dynamic optimization of open-pit coal mine production scheduling based on ARIMA and fuzzy structured element

“…In Figure 10; Table 4, it can be seen that the image of the partial autocorrelation coefficient starts from p = 4, suddenly approaches the centre line, and hovers on both sides of the zero value. Therefore, it can be preliminarily concluded that the p is obtained on the (He et al, 2006;Wang et al, 2022). Similarly, through the change trend of the autocorrelation coefficient, it can be basically determined that the q is obtained on the (Ramazan, 2007;Wang et al, 2022), which can constitute ARIMA (1,2,1), ARIMA (1,2,2), ARIMA (1,2,3), ARIMA (1,2,4), ARIMA (2,2,1), ARIMA (2,2,2), ARIMA (2,2,3), ARIMA (2,2,4), ARIMA (3,2,1), ARIMA (3,2,2), ARIMA (3,2,3), ARIMA (3,2,4) these 12 models.…”

“…Therefore, it can be preliminarily concluded that the p is obtained on the (He et al, 2006;Wang et al, 2022). Similarly, through the change trend of the autocorrelation coefficient, it can be basically determined that the q is obtained on the (Ramazan, 2007;Wang et al, 2022), which can constitute ARIMA (1,2,1), ARIMA (1,2,2), ARIMA (1,2,3), ARIMA (1,2,4), ARIMA (2,2,1), ARIMA (2,2,2), ARIMA (2,2,3), ARIMA (2,2,4), ARIMA (3,2,1), ARIMA (3,2,2), ARIMA (3,2,3), ARIMA (3,2,4) these 12 models. Then by comparing the AIC, SC, MAPE and RMSE of each ARIMA model, an optimal coal price forecasting model is determined.…”

“…A prominent place is held by open-pit coal mines in the worldwide coal industry. The share of open-pit coal mining in major coal-mining nations like the United States, Australia, Russia, and India is more than 50%, and some countries reach more than 90% (He et al, 2006;Zheng et al, 2014;Wang et al, 2022). The main objective of the OPCMPS is to choose a coal and waste rock extraction sequence that is technically viable and has the greatest possible total economic advantages.…”

Analysis of Vegetation Coverage Evolution and Degradation under Coal Mine Construction in Permafrost Region

“…Then, the vegetation distribution images around the mining area in August 2002 and 2016 were obtained using Equation (2). According to the vegetation distribution images, the vegetation distribution around the mining area was divided into five levels [20,32]. The vegetation coverages from level 1 to level 5 were 0-20%, 20-40%, 40-60%, 60-80%, and more than 80%, respectively.…”