Institution
Xi'an University of Science and Technology
Education•Xi'an, China•
About: Xi'an University of Science and Technology is a education organization based out in Xi'an, China. It is known for research contribution in the topics: Coal & Coal mining. The organization has 10023 authors who have published 7317 publications receiving 51897 citations.
Topics: Coal, Coal mining, Microstructure, Adsorption, Spontaneous combustion
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a short-wall block backfill mining (SBBM) technology was studied by physical similarity simulation tests, and the results of tests had shown that SBBM decreased the water-conducting fractures development caused by strata movement after coal mining, and it has a significant effect in protecting surface water resources above the working face.
61 citations
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TL;DR: The landslide susceptibility map (LSM) for the Fugu County government to properly address land planning and mitigate landslide risk can provide an effective reference for the Pembrokeshire-based government to Properly address land plan and mitigate landslip risk.
Abstract: The main purpose of the present study is to apply three classification models, namely, the index of entropy (IOE) model, the logistic regression (LR) model, and the support vector machine (SVM) model by radial basis function (RBF), to produce landslide susceptibility maps for the Fugu County of Shaanxi Province, China. Firstly, landslide locations were extracted from field investigation and aerial photographs, and a total of 194 landslide polygons were transformed into points to produce a landslide inventory map. Secondly, the landslide points were randomly split into two groups (70/30) for training and validation purposes, respectively. Then, 10 landslide explanatory variables, such as slope aspect, slope angle, altitude, lithology, mean annual precipitation, distance to roads, distance to rivers, distance to faults, land use, and normalized difference vegetation index (NDVI), were selected and the potential multicollinearity problems between these factors were detected by the Pearson Correlation Coefficient (PCC), the variance inflation factor (VIF), and tolerance (TOL). Subsequently, the landslide susceptibility maps for the study region were obtained using the IOE model, the LR-IOE, and the SVM-IOE model. Finally, the performance of these three models was verified and compared using the receiver operating characteristics (ROC) curve. The success rate results showed that the LR-IOE model has the highest accuracy (90.11%), followed by the IOE model (87.43%) and the SVM-IOE model (86.53%). Similarly, the AUC values also showed that the prediction accuracy expresses a similar result, with the LR-IOE model having the highest accuracy (81.84%), followed by the IOE model (76.86%) and the SVM-IOE model (76.61%). Thus, the landslide susceptibility map (LSM) for the study region can provide an effective reference for the Fugu County government to properly address land planning and mitigate landslide risk.
61 citations
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TL;DR: In this article, an efficient and stable photoanode based on earth-abundant materials for photoelectrochemical (PEC) splitting of natural seawater was reported.
61 citations
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TL;DR: In this article, a volume-averaged oxygen consumption rate (OCR) was proposed to evaluate the characteristics of the oxidation reaction of coal and showed that increasing the volume fraction of oxygen and the programmed heating rate both can promote the reaction between coal and oxygen and reduce the hysteretic effects of heating in the reaction under external heating.
61 citations
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TL;DR: In this article, 1-Butyl-3-methyl imidazole tetrafluoroborate ([BMIM][BF4]) was used at various mass ratios (0, 2, 5, and 10 mass%) to treat coal to inhibit CSC.
60 citations
Authors
Showing all 10074 results
Name | H-index | Papers | Citations |
---|---|---|---|
Chao Zhang | 127 | 3119 | 84711 |
Liang Wang | 98 | 1718 | 45600 |
Chang Liu | 97 | 1099 | 39573 |
Peter Christie | 75 | 501 | 26083 |
Yihe Zhang | 73 | 577 | 21117 |
Li Xu | 68 | 965 | 22024 |
Feng Zhao | 67 | 230 | 18384 |
Shuai Zhang | 66 | 616 | 20710 |
Wei Chen | 65 | 511 | 16573 |
Zhi-Min Dang | 65 | 309 | 14651 |
Liu Chen | 64 | 343 | 16067 |
Zhiwu Li | 58 | 567 | 12633 |
Yuan Gao | 57 | 358 | 11659 |
Yanjun Shen | 39 | 201 | 5878 |
Bin Su | 39 | 284 | 6222 |