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A modeling system for drinking water sources and its application to Jiangdong Reservoir in Xiamen city

Pengfei DU, Zhiyi LI, Jinliang HUANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 5,   Pages 735-745 doi: 10.1007/s11783-013-0560-x

Abstract: This paper introduces a drinking water source simulation and prediction system that consists of a watershedIn this study, the sub-models of the system were developed based on the data of the Jiangdong ReservoirFurthermore, three applications for Jiangdong Reservoir water protection utilizing the system were introduced

Keywords： water source     integrated modeling system     prediction     Jiulong River    

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The subtly method of reservoir and exploration effects on the organic reef-beach body of Changxing Formation

Cai Xiyuan

Strategic Study of CAE 2011, Volume 13, Issue 10,   Pages 28-33

Abstract: corresponding relationships among the lighologic facies, logging facies, seismic facies, attribute facies and reservoirThrough comparing with the exploration wells drilled recently, it's found that the prediction resultsof reservoir not only are fit for the actual exploration, but also have the high prediction accuracyThus, it shows that the method of prediction by geophysical and geology has theoretical directive significancein Yuanba Area and can provide practical reference for the exploration of reef-beach subtle reservoir

Keywords： Yuanba Area     Changxing Formation     reefbeach bodies     reservoir prediction    

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Design techniques of high effective wells in Puguang Gas Field

He Shenghou,Kong Fanqun,Wang Shouping,Zeng Daqian

Strategic Study of CAE 2010, Volume 12, Issue 10,   Pages 24-28

Abstract: gas field in China, which is characterized by high H2S content, ultra depth, strong heterogeneity of reservoirbreeded via real-time tracking of data of new wells, continuous research on sedimentary microfacies, reservoirprediction and gas-bearing prediction.

Keywords： carbonate     sedimentary microfacies     reservoir prediction     gas-bearing prediction     high effective wells    

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The control factors and distribution laws of volcanic oil and gas reservoir in China

Hou Lianhua,Zhu Rukai,Zhao Xia,Pang Zhenglian,Luo Xia,Mao Zhiguo

Strategic Study of CAE 2012, Volume 14, Issue 6,   Pages 77-86

Abstract: In the western basins of China, mid-mafic volcanic rocks and weathering crust type reservoir are oftenAlmost all of the lithology and lithofacies of volcanic rocks can form effective reservoir.And the reservoir characteristic of weathering crust type is better than that of primary type.Lithological reservoir and fault-lithological reservoir are often developed in the eastern basins ofStratum reservoir, structure-stratum reservoir and structure-lithological-stratum combined reservoir

Keywords： volcanic rock reservoir     igneous reservoir     reservoir formation control factors     reservoir distribution    

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A Study of Reservoir-induced Earthquake in the Three Gorges Area

Li Ping,Li Yuanjun,Yang Meie

Strategic Study of CAE 2005, Volume 7, Issue 6,   Pages 14-20

Abstract: active faults and their intersections and seismogenic capacity in the eastern part of the Three-Gorges Reservoirarea suggests that two potential seismic focus zones located in Badong and Xiangxi may be hit by reservoir-induced

Keywords： Three-Gorges Reservoir area     reservoir-induced earthquake     geologic hazards    

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A prediction formula of water temperature released from the multi-level stop-log gate intake of hydropower

Gao Xueping,Chen Hong,Song Huifang

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 63-67

Abstract:

In thermally stratified reservoir, a multi-level intake structure isNuozhadu Hydropower Station, a model test is conducted to model the thermal stratification of this reservoirA prediction formula of water temperature released is put forward based on the experimental data.

Keywords： thermally stratified reservoir     hydropower station intake     stop-log gate     formula of water temperature    

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Evaluation of seismic reliability of gravity dam-reservoir-inhomogeneous foundation coupled system

Hamid Taghavi GANJI, Mohammad ALEMBAGHERI, Mohammad Houshmand KHANEGHAHI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 701-715 doi: 10.1007/s11709-018-0507-1

Abstract: The seismic performance of gravity dam-reservoir-foundation coupled system is investigated utilizing

Keywords： gravity dams     dam-reservoir-foundation interaction     seismic reliability     inhomogeneous foundation     earthquake    

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In-plane transversal normal stresses in the concrete face of CFRD induced by the first-dam reservoir

Neftalí SARMIENTO-SOLANO, Miguel P. ROMO

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 1,   Pages 81-91 doi: 10.1007/s11709-016-0378-2

Abstract: evaluate the effects of dam height, valley narrowness and width of concrete slabs on the first-dam reservoircompressive stresses develop within the concrete panels located in the central concrete face zone upon dam reservoir

Keywords： concrete face     CFR dams     reservoir filling     slab in-plane stresses    

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Spatio-temporal variations of water quality in Yuqiao Reservoir Basin, North China

Yuan XU,Ruqin XIE,Yuqiu WANG,Jian SHA

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 4,   Pages 649-664 doi: 10.1007/s11783-014-0702-9

Abstract: component analysis, and factor analysis were applied to analyze the water quality status of Yuqiao ReservoirThe results of fuzzy comprehensive assessment revealed that water quality in Yuqiao Reservoir Basin showed

Keywords： Fuzzy comprehensive assessment     multivariate statistical analysis     water quality    

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Development of an integrated modeling system for improved multi-objective reservoir operation

Lei WANG, Cho Thanda NYUNT, Toshio KOIKE, Oliver SAAVEDRA, Lan Chau NGUYEN, Tran van SAP,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 1,   Pages 47-55 doi: 10.1007/s11709-010-0001-x

Abstract: Reservoir is an efficient way for flood control and improving all sectors related to water resourcesinflows and optimizing the multi-objective reservoir operation.First, the WEB-DHM was calibrated for the inflows to the Hoa Binh Reservoir in the Da River.Second, the WEB-DHM coupled with the reservoir routing module was tested by simulating the reservoirwater level, when using the observed dam outflows as the reservoir release.

Keywords： distributed biosphere hydrological model (WEB-DHM)     optimization     multi-objective reservoir     the Red River    

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analysis of Bazimen landslide with monitored rainfall data and water level fluctuations in Three Gorges Reservoir

Wengang ZHANG, Libin TANG, Hongrui LI, Lin WANG, Longfei CHENG, Tingqiang ZHOU, Xiang CHEN

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1247-1261 doi: 10.1007/s11709-020-0655-y

Abstract: Landslide is a common geological hazard in reservoir areas and may cause great damage to local residentswidely accepted that rainfall and periodic variation of water level are the two main factors triggering reservoirIn this study, the Bazimen landslide located in the Three Gorges Reservoir (TGR) was back-analyzed asThe results indicate that the fluctuation of the reservoir water level plays a pivotal role in inducing

Keywords： reliability analysis     Bazimen landslide     rainfall     reservoir water level     slope stability    

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Shale reservoir network fracturing technology research and experiment

Jia Changgui,Li Shuangming,Wang Haitao, Jiang Tingxue

Strategic Study of CAE 2012, Volume 14, Issue 6,   Pages 106-112

Abstract:

Shale reservoir fracturing is the critical and center technology forDifferent from conventional low permeability oil and gas reservoir whose goal is to improve fracturingdomestic shale gas fracturing based on practice, in view of Chinese specific characteristics of shale reservoir

Keywords： shale     reservoir     network fracturing    

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Spatial prediction of soil contamination based on machine learning: a review

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1

Abstract:

● A review of machine learning (ML) for spatial prediction of soil

Keywords： Soil contamination     Machine learning     Prediction     Spatial distribution    

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Evaluation method of dam behavior during construction and reservoir filling and application to real dams

Yuji KOHGO, Akira TAKAHASHI, Tomokazu SUZUKI,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 1,   Pages 92-101 doi: 10.1007/s11709-010-0009-2

Abstract: In this paper we analyzed a real fill-type dam, named the Minami-Aiki Dam, to verify a numerical consolidation method with an elastoplastic model for unsaturated soils. The validities were conducted by comparing the analyzed and measured values during construction and impounding. The settlements calculated showed good agreement to those observed. Though the changing patterns of the measured and calculated pore water pressures were similar, the amounts of pore water pressures induced by the self-weights of embankment and the dissipation speeds were different. The earth pressures measured at the bottom of the core zone showed good agreement with those calculated. This method is valid for estimating behavior of fill-type dams during construction and impounding.

Keywords： fill dam     consolidation analysis     unsaturated geo-materials     impounding     construction    

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Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Frontiers of Medicine 2022, Volume 16, Issue 3,   Pages 496-506 doi: 10.1007/s11684-021-0828-7

Abstract: The fracture risk of patients with diabetes is higher than those of patients without diabetes due to hyperglycemia, usage of diabetes drugs, changes in insulin levels, and excretion, and this risk begins as early as adolescence. Many factors including demographic data (such as age, height, weight, and gender), medical history (such as smoking, drinking, and menopause), and examination (such as bone mineral density, blood routine, and urine routine) may be related to bone metabolism in patients with diabetes. However, most of the existing methods are qualitative assessments and do not consider the interactions of the physiological factors of humans. In addition, the fracture risk of patients with diabetes and osteoporosis has not been further studied previously. In this paper, a hybrid model combining XGBoost with deep neural network is used to predict the fracture risk of patients with diabetes and osteoporosis, and investigate the effect of patients’ physiological factors on fracture risk. A total of 147 raw input features are considered in our model. The presented model is compared with several benchmarks based on various metrics to prove its effectiveness. Moreover, the top 18 influencing factors of fracture risks of patients with diabetes are determined.

Keywords： XGBoost     deep neural network     healthcare     risk prediction    

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Title Author Date Type Operation

A modeling system for drinking water sources and its application to Jiangdong Reservoir in Xiamen city

Pengfei DU, Zhiyi LI, Jinliang HUANG

Journal Article

The subtly method of reservoir and exploration effects on the organic reef-beach body of Changxing Formation

Cai Xiyuan

Journal Article

Design techniques of high effective wells in Puguang Gas Field

He Shenghou,Kong Fanqun,Wang Shouping,Zeng Daqian

Journal Article

The control factors and distribution laws of volcanic oil and gas reservoir in China

Hou Lianhua,Zhu Rukai,Zhao Xia,Pang Zhenglian,Luo Xia,Mao Zhiguo

Journal Article

A Study of Reservoir-induced Earthquake in the Three Gorges Area

Li Ping,Li Yuanjun,Yang Meie

Journal Article

A prediction formula of water temperature released from the multi-level stop-log gate intake of hydropower

Gao Xueping,Chen Hong,Song Huifang

Journal Article

Evaluation of seismic reliability of gravity dam-reservoir-inhomogeneous foundation coupled system

Hamid Taghavi GANJI, Mohammad ALEMBAGHERI, Mohammad Houshmand KHANEGHAHI

Journal Article

In-plane transversal normal stresses in the concrete face of CFRD induced by the first-dam reservoir

Neftalí SARMIENTO-SOLANO, Miguel P. ROMO

Journal Article

Spatio-temporal variations of water quality in Yuqiao Reservoir Basin, North China

Yuan XU,Ruqin XIE,Yuqiu WANG,Jian SHA

Journal Article

Development of an integrated modeling system for improved multi-objective reservoir operation

Lei WANG, Cho Thanda NYUNT, Toshio KOIKE, Oliver SAAVEDRA, Lan Chau NGUYEN, Tran van SAP,

Journal Article

analysis of Bazimen landslide with monitored rainfall data and water level fluctuations in Three Gorges Reservoir

Wengang ZHANG, Libin TANG, Hongrui LI, Lin WANG, Longfei CHENG, Tingqiang ZHOU, Xiang CHEN

Journal Article

Shale reservoir network fracturing technology research and experiment

Jia Changgui,Li Shuangming,Wang Haitao, Jiang Tingxue

Journal Article

Spatial prediction of soil contamination based on machine learning: a review

Journal Article

Evaluation method of dam behavior during construction and reservoir filling and application to real dams

Yuji KOHGO, Akira TAKAHASHI, Tomokazu SUZUKI,

Journal Article

Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Journal Article