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The removal of trimethoprim and sulfamethoxazole by a high infiltration rate artificial composite soil

Qinqin Liu,Miao Li,Fawang Zhang,Hechun Yu,Quan Zhang,Xiang Liu

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 2, doi: 10.1007/s11783-017-0920-z

Abstract: Artificial composite soil treatment system with the high infiltration rate (1.394 m·d ) had a good removalThe removal of TMP and SMX by artificial composite soil treatment system (ACST) with different infiltration

Keywords： Trimethoprim     Sulfamethoxazole     Artificial composite soil treatment     Hydrogeochemical processes     Ion exchange    

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An efficient stochastic dynamic analysis of soil media using radial basis function artificial neural

P. ZAKIAN

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 4,   Pages 470-479 doi: 10.1007/s11709-017-0440-8

Abstract: In this study, the stochastic dynamic analysis of soil mass is performed by finite element method inTwo methods are used for stochastic analysis of soil media which are spectral decomposition and MonteShear modulus of soil is considered as a random field and the seismic excitation is also imposed as aIn this research, artificial neural network is proposed and added to Monte Carlo method for sake of reducingThen, the effects of the proposed artificial neural network are illustrated on decreasing computational

Keywords： stochastic analysis     random seismic excitation     finite element method     artificial neural network     frequency    

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Machine learning-based seismic assessment of framed structures with soil-structure interaction

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 205-223 doi: 10.1007/s11709-022-0909-y

Abstract: technique (MLT) to predict the seismic performance of low- to mid-rise frame structures considering soil-structure

Keywords： seismic hazard     artificial neural network     soil-structure interaction     seismic analysis    

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The effect of texture and irrigation on the soil moisture vertical-temporal variability in an urban artificial

Xiaofeng ZHANG,Xu ZHANG,Guanghe LI

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 2,   Pages 269-278 doi: 10.1007/s11783-014-0672-y

Abstract: Soil moisture variability in natural landscapes has been widely studied; however, less attention hasTherefore, a case study was carried out in the Beijing Olympic Forest Park to continuously monitor the soil

Keywords： moisture vertical distribution     moisture temporal variation     texture stratification     irrigation     meteorological forcing     urban landscape    

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Removal of trimethoprim and sulfamethoxazole in artificial composite soil treatment systems and diversity

Qinqin Liu, Miao Li, Rui Liu, Quan Zhang, Di Wu, Danni Zhu, Xuhui Shen, Chuanping Feng, Fawang Zhang, Xiang Liu

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 2, doi: 10.1007/s11783-019-1112-9

Abstract:

• Novel ACST allowed biodegradation to effectively remove adsorbed SMX and TMP.

• Ammonia and nitrite were efficiently removed in ACSTs and water quality was improved.

Keywords： Trimethoprim     Sulfamethoxazole     Reclaimed water     Biodegradation     Aerobic nitrification     Microbial community    

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A hierarchical system to predict behavior of soil and cantilever sheet wall by data-driven models

Nang Duc BUI; Hieu Chi PHAN; Tiep Duc PHAM; Ashutosh Sutra DHAR

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 6,   Pages 667-684 doi: 10.1007/s11709-022-0822-4

Abstract: The study uses the hardening soil (HS) model to develop a 200-sample finite element analysis (FEA) databaseforest classification, RFC) followed by 1) the cantilever top horizontal displacement of sheet wall (artificialneural network regression models, RANN1) and 2) vertical settlement of soil (RANN2).

Keywords： finite element analysis     cantilever sheet wall     machine learning     artificial neural network     random forest    

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Study on Synthetic Utilization of Three Solid Wastes

Zhang Wanjun,Guo Yuwen ,Huang Mingyong,Wang Doutian,Zhang Minsheng

Strategic Study of CAE 2002, Volume 4, Issue 10,   Pages 62-66

Abstract: alkaline slag, coal ash, that have been piled up largely in coastal region are converted into a kind of artificialsoil and substituted for the foreign soil.It relieves the shortage of planting soil of the landscaping construction in TEDA and also accords withFurther more, the artificial soil exceeds coastal solonchak in amelioration of soil and plant suitability

Keywords： solid wastes     artificial soil     sea silt soil     basic slag     coal ash    

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Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2,   Pages 133-136 doi: 10.1007/s11709-013-0202-1

Abstract: of Gaussian process regression (GPR) for prediction of effective stress parameter ( ) of unsaturated soilA comparative study has been carried out between the developed GPR and Artificial Neural Network (ANNThe results show that the developed GPR is reliable model for prediction of of unsaturated soil.

Keywords： unsaturated soil     effective stress parameter     Gaussian process regression (GPR)     artificial neural network    

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Assessment of glass fiber-reinforced polyester pipe powder in soil improvement

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 742-753 doi: 10.1007/s11709-021-0732-x

Abstract: Then, using the optimum PP addition, the bearing capacity of the soil was estimated through a seriesThe bearing capacity of sandy soil was improved by up to 30.7%.The ratio of the depth of the PP-reinforced soil to the diameter of the foundation model (H/D) of 1.25 could sufficiently strengthen sandy soil when the optimum PP ratio was used.capacity can be attributed to the chopped fibers in the PP and their multiaxial distribution in the soil

Keywords： shallow foundation     sandy soil     bearing capacity     soil improvement     pipe powder    

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Electromagnetic induction mapping at varied soil moisture reveals field-scale soil textural patterns

Hiruy ABDU, David A. ROBINSON, Janis BOETTINGER, Scott B. JONES

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 2,   Pages 135-145 doi: 10.15302/J-FASE-2017143

Abstract: Knowledge of the spatial distribution of soil textural properties is important for determining soil moisturestorage and soil hydraulic transport properties.electromagnetic induction (EMI) mapping in low apparent electrical conductivity (EC ) soils at varying soilwater contents to capture time invariant properties such as soil texture.m × 50 m field included a subsurface gravelly patch in an otherwise homogeneous silt-loam alluvial soil

Keywords： soil electrical conductivity     soil texture mapping     temporal stability analysis    

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Applications of traditional pump design theory to artificial heart and CFD simulation

WANG Yingpeng, SONG Xinwei, YING Chuntong

Frontiers in Energy 2008, Volume 2, Issue 4,   Pages 504-507 doi: 10.1007/s11708-008-0059-5

Abstract: traditional axial pump design theory with the consideration of working and hydraulic situations for artificialThe results show that this procedure can be used for designing a series of high-efficiency artificial

Keywords： computational     high-efficiency artificial     iterative approach     artificial     traditional    

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SOIL CARBON CHECK: A TOOL FOR MONITORING AND GUIDING SOIL CARBON SEQUESTRATION IN FARMER FIELDS

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 2,   Pages 248-261 doi: 10.15302/J-FASE-2023499

Abstract:

● Establishment of a rapid tool for monitoring soil carbon sequestration

Keywords： 4 per 1000 initiative     carbon sequestration     climate action     farmer fields     SDG13     soil organic carbon     soil testing    

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Adsorption behavior of antibiotic in soil environment: a critical review

Shiliang WANG,Hui WANG

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 4,   Pages 565-574 doi: 10.1007/s11783-015-0801-2

Abstract: direct and indirect emissions such as excrements, sewage irrigation, and sludge compost and enter the soiland impact negatively the natural ecosystem of soil.process has decisive role for the environmental behaviors and the ultimate fates of antibiotics in soilIn addition, factors of soil environment such as the pH, ionic strength, metal ions, and organic matterReview about adsorption of antibiotics on soil can provide a fresh insight into understanding the antibiotic-soil

Keywords： adsorption     antibiotics     environment factors     soil    

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INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4,   Pages 648-653 doi: 10.15302/J-FASE-2023505

Abstract: Therefore, this article proposes an interactive knowledge learning approach using artificial intelligence

Keywords： artificial intelligence     extension system     non-point source pollution control     smallholders     fertilization    

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A simplified method for the determination of vertically loaded pile-soil interface parameters in layeredsoil based on FLAC

Jiu-jiang WU,Yan LI,Qian-gong CHENG,Hua WEN,Xin LIANG

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 1,   Pages 103-111 doi: 10.1007/s11709-015-0328-4

Abstract: The numerical analysis of pile-soil interaction commonly requires a lot of trial works to determine theThen, a simplified method for the determination of pile-soil interface parameters in layered soil is

Keywords： determination of interface parameters     pile-soil interaction     FLAC3D     sensitivity analysis     layeredsoil    

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Title Author Date Type Operation

The removal of trimethoprim and sulfamethoxazole by a high infiltration rate artificial composite soil

Qinqin Liu,Miao Li,Fawang Zhang,Hechun Yu,Quan Zhang,Xiang Liu

Journal Article

An efficient stochastic dynamic analysis of soil media using radial basis function artificial neural

P. ZAKIAN

Journal Article

Machine learning-based seismic assessment of framed structures with soil-structure interaction

Journal Article

The effect of texture and irrigation on the soil moisture vertical-temporal variability in an urban artificial

Xiaofeng ZHANG,Xu ZHANG,Guanghe LI

Journal Article

Removal of trimethoprim and sulfamethoxazole in artificial composite soil treatment systems and diversity

Qinqin Liu, Miao Li, Rui Liu, Quan Zhang, Di Wu, Danni Zhu, Xuhui Shen, Chuanping Feng, Fawang Zhang, Xiang Liu

Journal Article

A hierarchical system to predict behavior of soil and cantilever sheet wall by data-driven models

Nang Duc BUI; Hieu Chi PHAN; Tiep Duc PHAM; Ashutosh Sutra DHAR

Journal Article

Study on Synthetic Utilization of Three Solid Wastes

Zhang Wanjun,Guo Yuwen ,Huang Mingyong,Wang Doutian,Zhang Minsheng

Journal Article

Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Journal Article

Assessment of glass fiber-reinforced polyester pipe powder in soil improvement

Journal Article

Electromagnetic induction mapping at varied soil moisture reveals field-scale soil textural patterns

Hiruy ABDU, David A. ROBINSON, Janis BOETTINGER, Scott B. JONES

Journal Article

Applications of traditional pump design theory to artificial heart and CFD simulation

WANG Yingpeng, SONG Xinwei, YING Chuntong

Journal Article

SOIL CARBON CHECK: A TOOL FOR MONITORING AND GUIDING SOIL CARBON SEQUESTRATION IN FARMER FIELDS

Journal Article

Adsorption behavior of antibiotic in soil environment: a critical review

Shiliang WANG,Hui WANG

Journal Article

INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Journal Article

A simplified method for the determination of vertically loaded pile-soil interface parameters in layeredsoil based on FLAC

Jiu-jiang WU,Yan LI,Qian-gong CHENG,Hua WEN,Xin LIANG

Journal Article