Key Laboratory of Groundwater Contamination and Remediation

Shijiazhuang, China

Key Laboratory of Groundwater Contamination and Remediation

Shijiazhuang, China
SEARCH FILTERS
Time filter
Source Type

Wu Q.-H.,Changjiang River Scientific Research Institute | Wu Q.-H.,Key Laboratory of Groundwater Contamination and Remediation | Wu Q.-H.,China Three Gorges University | Zhang J.-F.,Changjiang River Scientific Research Institute | And 2 more authors.
Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering | Year: 2017

The instability of expansive soil slope is vital to the security of water supply in the Middle Route project of South-to-North Water Diversion. Anti-seepage control is considered as an effective method to deal with the instability problem of expansive soil slope. Based on the weak ecological function and short life of the traditional methods to deal with the drainage-seepage phenomenon of slopes, the unsaturated drainage structures are introduced to control rainfall to infiltrate into slope soil. Then two unsaturated drainage structures, i.e., fine/coarse grain soil layers (dual-structure) and coarse layer (single-structure) are chosen. The anti-seepage effects of the both structures on the slope in five rainfall tests are investigated. The results show that: (1) The dual-structure can effectively prevent rainfall from infiltrating into the slope, without leakage at the bottom of the expansive soil in the experiment with rainfall intensity of 4.18×10-4 cm/s. When the initial soil water content of the fine grain layer is lower with a strong storage capacity, the anti-seepage effect is better. (2) The single-structure can protect the expansive soil slope at a certain extent, with the rainfall intensity of 1.72×10-4, 4.18×10-4 and 4.97×10-4 cm/s, however, 5.6%~10.7% of the total rainfall flows out at the bottom of the expansive soil, which indicates the single-structure leakage risk. In a word, the anti-seepage effects of the dual-structure on the slope are better than those of the single-structure. This study is helpful to dealing with the expansive soil slope in the Middle Route project of South-to-North Water Diversion. © 2017, Editorial Office of Chinese Journal of Geotechnical Engineering. All right reserved.


Li B.,Guizhou University | Li B.,Key Laboratory of Groundwater Contamination and Remediation | Wu Q.,China University of Mining and Technology
Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering | Year: 2017

Risk evaluation of coal floor water inrush by multi-information fusion technology based on GIS is research hotspot in recent years, the method were also widely used in many coal mine.However, current evaluation methods are mainly constant weight evaluation methods, in this method, the constant weights are used to reflect the role of variation state values for water inrush, which unable to depict control action of hydrogeological conditions mutation for water inrush, so variable weight theory was introduced in the field of water inrush evaluation in this paper.This paper explained the significance of variable weight theory for coal floor water inrush evaluation, analyzed the characteristics of coal floor water inrush variable weight evaluation model, demonstrated the variable weight model constructed meet the the requirements of variable weight theory.Combined with instance of Xinglong coal mine water inrush evaluation, evaluation map and typical evaluation cell were compared to analysis advanced nature of variable weightsevaluation model, which can effectively improve the accuracy of evaluate risk of coal floor water inrush by multi-information fusion technology. © 2017, The Editorial Board of Journal of Basic Science and Engineering. All right reserved.


Hu S.,Northwestern Polytechnical University | Wu Y.,Northwestern Polytechnical University | Yi N.,Northwestern Polytechnical University | Zhang S.,Northwestern Polytechnical University | And 3 more authors.
Environmental Science and Pollution Research | Year: 2017

Dissolved organic matter (DOM), as the most active organic carbon in the soil, has a coherent affinity with heavy metals from inherent and exogenous sources. Although the important roles of DOM in the adsorption of heavy metals in soil have previously been demonstrated, the heterogeneity and variability of the chemical constitution of DOM impede the investigation of its effects on heavy metal adsorption onto soil under natural conditions. Fresh DOM (FDOM) and degraded DOM (DDOM) from sugarcane rind were prepared, and their chemical properties were measured by Fourier-transform infrared spectrometry (FTIR), excitation-emission matrix (EEM) fluorescence spectroscopes, nuclear magnetic resonance (NMR), and molecular weight distribution (MWD). They were also used in batch experiments to evaluate their effects on the adsorption of Cu(II) onto farmland red soil. Based on our results, the chemical structure and composition of DDOM greatly varied; compared with FDOM, the C/O ratio (from 24.0 to 9.6%) and fluorescence index (FI) (from 1.4 to 1.0) decreased, and high molecular weight (>10 kDa) compounds increased from 23.18 to 70.51%, while low molecular weight (<3 kDa) compounds decreased from 56.13 to 12.13%; aromaticity and humification degree were markedly enhanced. The discrepancy of FDOM and DDOM in terms of chemical properties greatly influenced Cu(II) adsorption onto red soil by affecting DOM-Cu(II) complex capacity. The FDOM inhibited the adsorption of Cu(II), while DDOM promoted adsorption, which was significantly influenced by soil pH. Maximum adsorption capacity (Qm) was 0.92 and 5.76 mg g−1 in the presence of FDOM and DDOM, respectively. The adsorption process with DDOM could be better described by the Langmuir model, while that with FDOM was better described by the Freundlich model. The impacts caused by the dynamic changes of the chemical properties of DOM under natural conditions should therefore be considered in the risk assessment and remediation of soils contaminated with heavy metals. © 2017 Springer-Verlag GmbH Germany

Loading Key Laboratory of Groundwater Contamination and Remediation collaborators
Loading Key Laboratory of Groundwater Contamination and Remediation collaborators