排序方式: 共有13条查询结果,搜索用时 15 毫秒
1.
Le Duc Luong Shakirov Renat B. Hoang Nguyen Shinjo Ryuichi Obzhirov Anatoly Syrbu Nadezhda Shakirova Maria 《Water Resources》2019,46(5):807-816
Water Resources - This paper presents review of dissolved Rare Earth Elements (REE) and methane anomalies distribution in the East China Sea water column. In general, the REE concentrations of the... 相似文献
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Shakirov R. B. Cuong Do Huy Obzhirov A. I. Valitov M. G. Lee N. S. Legkodimov A. A. Kalgin V. Yu. Yeskova A. I. Proshkina Z. N. Telegin Yu. A. Storozhenko A. V. Ivanov M. V. Pletnev S. P. Sedin V. T. Bulanov A.V. Shvalov D. A. Lipinskaya N. A. Bovsun M. A. Makseev D. S. Thanh Nguyen Trung Anh Le Duc Luong Le Duc 《Oceanology》2021,61(1):147-149
Oceanology - Abstract—The paper gives brief results of comprehensive studies in the South China Sea obtained from a joint Russian–Vietnamese expedition in November 2019 (cruise 88 of... 相似文献
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An interdisciplinary approach is necessary for flood risk assessment. Questions are often raised about which factors should
be considered important in assessing the flood risk in an area and how to quantify these factors. This article defines and
quantitatively evaluates the flood risk factors that would affect the Day River Flood Diversion Area in the context of integrated
flood management in the Red River Delta, Vietnam. Expert analysis, in conjunction with field survey and Analytical Hierarchy
Process (AHP), is applied to define and quantify parameters (indicators, subcomponents, and components) that contribute to
flood risk. Flood duration is found to be the most prominent indicator in determining flood hazard. Residential buildings,
population, and pollution are other fairly significant indicators contributing to flood vulnerability from the economic, social,
and environmental perspectives, respectively. The study results will be useful in developing comprehensive flood risk maps
for policy-makers and responsible authorities. Besides, local residents will also be able to implement suitable measures for
reducing flood risk in the study area. 相似文献
4.
A. Nguyen Van Nghia Jougnot Damien Thanh Luong Duy Van Do Phan Thuy Tran Thi Chung Hue Dang Thi Minh Hung Nguyen Manh 《Hydrogeology Journal》2021,29(6):2017-2031
Hydrogeology Journal - Predicting the permeability of porous media in saturated and partially saturated conditions is of crucial importance in many geo-engineering areas, from water resources to... 相似文献
5.
Binh Thai Pham Abolfazl Jaafari Tran Van Phong Hoang Phan Hai Yen Tran Thi Tuyen Vu Van Luong Huu Duy Nguyen Hiep Van Le Loke Kok Foong 《地学前缘(英文版)》2021,12(3):101105
Improving the accuracy of flood prediction and mapping is crucial for reducing damage resulting from flood events. In this study, we proposed and validated three ensemble models based on the Best First Decision Tree (BFT) and the Bagging (Bagging-BFT), Decorate (Bagging-BFT), and Random Subspace (RSS-BFT) ensemble learning techniques for an improved prediction of flood susceptibility in a spatially-explicit manner. A total number of 126 historical flood events from the Nghe An Province (Vietnam) were connected to a set of 10 flood influencing factors (slope, elevation, aspect, curvature, river density, distance from rivers, flow direction, geology, soil, and land use) for generating the training and validation datasets. The models were validated via several performance metrics that demonstrated the capability of all three ensemble models in elucidating the underlying pattern of flood occurrences within the research area and predicting the probability of future flood events. Based on the Area Under the receiver operating characteristic Curve (AUC), the ensemble Decorate-BFT model that achieved an AUC value of 0.989 was identified as the superior model over the RSS-BFT (AUC = 0.982) and Bagging-BFT (AUC = 0.967) models. A comparison between the performance of the models and the models previously reported in the literature confirmed that our ensemble models provided a reliable estimate of flood susceptibilities and their resulting susceptibility maps are trustful for flood early warning systems as well as development of mitigation plans. 相似文献
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Luong Duy Thanh Phan Van Do Nguyen Van Nghia Nguyen Xuan Ca 《Geophysical Prospecting》2018,66(4):753-766
Streaming potential is the result of coupling between a fluid flow and an electric current in porous rocks. The modified Helmholtz–Smoluchowski equation derived for capillary tubes is mostly used to determine the streaming potential coefficient of porous media. However, to the best of our knowledge, the fractal geometry theory is not yet applied to analyse the streaming potential in porous media. In this article, a fractal model for the streaming potential coefficient in porous media is developed based on the fractal theory of porous media and on the streaming potential in a capillary. The proposed model is expressed in terms of the zeta potential at the solid?liquid interface, the minimum and maximum pore/capillary radii, the fractal dimension, and the porosity of porous media. The model is also examined by using another capillary size distribution available in published articles. The results obtained from the model using two different capillary size distributions are in good agreement with each other. The model predictions are then compared with experimental data in the literature and those based on the modified Helmholtz–Smoluchowski equation. It is shown that the predictions from the proposed fractal model are in good agreement with experimental data. In addition, the proposed model is able to reproduce the same result as the Helmholtz–Smoluchowski equation, particularly for high fluid conductivity or large grain diameters. Other factors influencing the streaming potential coefficient in porous media are also analysed. 相似文献
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In theory, the streaming potential coefficient depends not only on the zeta potential but also on the permeability of the rocks that partially determines the surface conductivity of the rocks. However, in practice, it is hard to show the permeability dependence of streaming potential coefficients because of the variation of zeta potential from sample to sample. To study permeability dependence of streaming potential, including the effects of the variation of the zeta potential and surface conductance due to the difference in mineral compositions between samples, we perform measurements on 12 consolidated samples, including natural and artificial samples saturated with 7 different NaCl solutions to determine the streaming potential coefficients. The results have shown that the streaming potential coefficients strongly depend on the permeability of the samples for low fluid conductivity. When the fluid conductivity is larger than than 0.50 S/m for the natural samples or 0.25 S/m for the artificial ceramic samples, the streaming potential coefficient is independent of permeability. This behavior is quantitatively explained by a theoretical model. 相似文献
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Van Tien Pham Trinh Phan Trong Luong Le Hong Nhat Le Minh Duc Dao Minh Hieu Tran Trung Cuong Tran Quoc Nhan Tran Thanh 《Landslides》2021,18(6):2329-2333
Landslides - At about 12:00 a.m., on October 13, 2020, a rapid rotational landslide induced by rainfall swept over Ranger Station-7 in Phong Xuan commune, Phong Dien district, Thua Thien Hue... 相似文献