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Current state and future perspectives of sewer networks in urban China

Dong Huang, Xiuhong Liu, Songzhu Jiang, Hongchen Wang, Junyan Wang, Yuankai Zhang

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 3, doi: 10.1007/s11783-018-1023-1

Abstract: The current state of sewer network construction, administration, and maintenance in China is comprehensivelyIn 2014, $7 billion was invested in sewer network construction.However, both the sewer pervasion rate and the per capita sewer length were significantly lower thanSewer administrative agencies in local governments are uncoordinated.The future situation of sewer maintenance is extremely grim because sewer corrosion control measures

Keywords： Sewer network     China     Management     Sewer corrosion     Sewer inspection     Trenchless rehabilitation    

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Quantitative analysis of impact of green stormwater infrastructures on combined sewer overflow control

Jinsong Tao, Zijian Li, Xinlai Peng, Gaoxiang Ying

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 4, doi: 10.1007/s11783-017-0952-4

Abstract: and policies, GSI systems have been widely implemented in the municipal area to control the combined sewer

Keywords： Green stormwater infrastructure (GSI)     Combined sewer overflows (CSOs)     Urban flooding     Low impact development    

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Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in

Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 2, doi: 10.1007/s11783-019-1102-y

Abstract:

An image-recognition-based diagnosis system of pipe defect types was established.

1043 practical pipe images were gathered by CCTV robot in a southern Chinese city.

The overall accuracy of the system is 84% and the highest accuracy is 99.3%.

The accuracy shows positive correlation to the number of training samples.

Keywords： Sewer pipe defects     Defect diagnosing     Image recognition     Multi-features extraction     Support vector machine    

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Initial impacts of rain gardens’ application on water quality and quantity in combined sewer: field-scale

Isam Alyaseri, Jianpeng Zhou, Susan M. Morgan, Andrew Bartlett

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 4, doi: 10.1007/s11783-017-0988-5

Abstract: such as rain gardens can benefit onsite reduction of stormwater runoff, leading to reduced combined sewergardens on the water quality and volume reduction of storm runoff from urban streets in a combined sewer

Keywords： Rain gardens     Bioretention     Combined sewer     Stormwater quality and quantity    

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Water-level based discrete integrated dynamic control to regulate the flow for sewer-WWTP operation

Zhengsheng Lu, Moran Wang, Mingkai Zhang, Ji Li, Ying Xu, Hanchang Shi, Yanchen Liu, Xia Huang

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 3, doi: 10.1007/s11783-020-1222-4

Abstract: A model-free sewer-WWTP integrated control was proposed.The approach could improve the sewer operation against flow fluctuation.regulate dynamic wastewater pumping flow of pumps following the dynamic water level variation in the sewerThis control method has been successfully applied in practical integrated operations of sewer-WWTP followingthe sensitive flow disturbances of the sewer system.

Keywords： Sewer system     Integrated control     Discrete control     Water level    

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New method for efficient control of hydrogen sulfide and methane in gravity sewers: Combination of NaOH and Nitrite

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 6, doi: 10.1007/s11783-021-1509-0

Abstract:

• The combination of NaOH and nitrite was used to control harmful gas in sewers.

Keywords： Sewer corrosion     Sulfide control     Combination treatment     NaOH     Nitrite    

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Stormwater runoff pollution loads from an urban catchment with rainy climate in China

Liqing LI, Baoqing SHAN, Chenqing YIN

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 5,   Pages 672-677 doi: 10.1007/s11783-012-0447-2

Abstract: Stormwater runoff from an urban catchment with a combined sewer system was sampled and analyzed overStorage and treatment of the first 10 mm from each combined sewer overflow event could reduce more thanrecommended, consisting of a tank connected to the WWTP and a detention pond, to store and treat the combined sewer

Keywords： combined sewer overflow     pollution load     first flush     detention basins    

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A comprehensive simulation approach for pollutant bio-transformation in the gravity sewer

Nan Zhao, Huu Hao Ngo, Yuyou Li, Xiaochang Wang, Lei Yang, Pengkang Jin, Guangxi Sun

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 4, doi: 10.1007/s11783-019-1144-1

Abstract:

A comprehensive pollutant transformation model for sewer systems

Keywords： Gravity sewer     Modeling     Pollutant transformation     Biochemical reaction process    

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Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme learning machine

Mohammad ZOUNEMAT-KERMANI, Meysam ALIZAMIR, Zaher Mundher YASEEN, Reinhard HINKELMANN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 444-460 doi: 10.1007/s11709-021-0697-9

Abstract: standard, online sequential, and kernel extreme learning machines, in addition to the artificial neural network

Keywords： sewer systems     environmental engineering     data-driven methods     sensitivity analysis    

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Comprehensive health condition assessment on partial sewers in a southern Chinese city based on fuzzy mathematic methods

Lili GAN, Jiane ZUO, Yajiao WANG, Thong Soon LOW, Kaijun WANG

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 1,   Pages 144-150 doi: 10.1007/s11783-013-0554-8

Abstract: A self-developed sewer health assessment system using the fuzzy comprehensive evaluation and analyticalvideo data collected by a sewer inspection closed circuit television (CCTV) robot.Aside from the overall condition evaluation, the structure, function, and stability status of the sewerFrequent sedimentation affects the function of the sewer, and deformation and joint damage affect thestructure of the sewer.

Keywords： sewer     health condition assessment     analytical hierarchy process     fuzzy comprehensive evaluation     fuzzy mathematic    

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Novel interpretable mechanism of neural networks based on network decoupling method

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 572-581 doi: 10.1007/s42524-021-0169-x

Abstract: The lack of interpretability of the neural network algorithm has become the bottleneck of its wide applicationdimension reduction method of high-dimensional system and reveal the calculation mechanism of the neural networkWe apply our framework to some network models and a real system of the whole neuron map of CaenorhabditisResult shows that a simple linear mapping relationship exists between network structure and network behaviorin the neural network with high-dimensional and nonlinear characteristics.

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: Recently, advanced sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of machines. Given the advantage of obtaining accurate diagnosis results, multi-sensor fusion has long been studied in the fault diagnosis field. However, existing studies suffer from two weaknesses. First, the relations of multiple sensors are either neglected or calculated only to improve the diagnostic accuracy of fault types. Second, the localization for multi-source faults is seldom investigated, although locating the anomaly variable over multivariate sensing data for certain types of faults is desirable. This article attempts to overcome the above weaknesses by proposing a global method to recognize fault types and localize fault sources with the help of multi-sensor relations (MSRs). First, an MSR model is developed to learn MSRs automatically and further obtain fault recognition results. Second, centrality measures are employed to analyze the MSR graphs learned by the MSR model, and fault sources are therefore determined. The proposed method is demonstrated by experiments on an induction motor and a centrifugal pump. Results show the proposed method’s validity in diagnosing fault types and sources.

Keywords： fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

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Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: This article intends to model the multiscale constitution using feedforward neural network (FNN) andrecurrent neural network (RNN), and appropriate set of loading paths are selected to effectively predict

Keywords： multiscale method     constitutive model     feedforward neural network     recurrent neural network    

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Heat, mass, and work exchange networks

Zhiyou CHEN, Jingtao WANG

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 4,   Pages 484-502 doi: 10.1007/s11705-012-1221-5

Abstract: This review presents the main works related to each network.

Keywords： process system engineering     integration methods     heat exchange network     mass exchange network     work exchangenetwork    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: To address this issue, this paper explores a decision-tree-structured neural network, that is, the deepconvolutional tree-inspired network (DCTN), for the hierarchical fault diagnosis of bearings.The proposed model effectively integrates the advantages of convolutional neural network (CNN) and decision

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

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Title Author Date Type Operation

Current state and future perspectives of sewer networks in urban China

Dong Huang, Xiuhong Liu, Songzhu Jiang, Hongchen Wang, Junyan Wang, Yuankai Zhang

Journal Article

Quantitative analysis of impact of green stormwater infrastructures on combined sewer overflow control

Jinsong Tao, Zijian Li, Xinlai Peng, Gaoxiang Ying

Journal Article

Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in

Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu

Journal Article

Initial impacts of rain gardens’ application on water quality and quantity in combined sewer: field-scale

Isam Alyaseri, Jianpeng Zhou, Susan M. Morgan, Andrew Bartlett

Journal Article

Water-level based discrete integrated dynamic control to regulate the flow for sewer-WWTP operation

Zhengsheng Lu, Moran Wang, Mingkai Zhang, Ji Li, Ying Xu, Hanchang Shi, Yanchen Liu, Xia Huang

Journal Article

New method for efficient control of hydrogen sulfide and methane in gravity sewers: Combination of NaOH and Nitrite

Journal Article

Stormwater runoff pollution loads from an urban catchment with rainy climate in China

Liqing LI, Baoqing SHAN, Chenqing YIN

Journal Article

A comprehensive simulation approach for pollutant bio-transformation in the gravity sewer

Nan Zhao, Huu Hao Ngo, Yuyou Li, Xiaochang Wang, Lei Yang, Pengkang Jin, Guangxi Sun

Journal Article

Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme learning machine

Mohammad ZOUNEMAT-KERMANI, Meysam ALIZAMIR, Zaher Mundher YASEEN, Reinhard HINKELMANN

Journal Article

Comprehensive health condition assessment on partial sewers in a southern Chinese city based on fuzzy mathematic methods

Lili GAN, Jiane ZUO, Yajiao WANG, Thong Soon LOW, Kaijun WANG

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Journal Article

Heat, mass, and work exchange networks

Zhiyou CHEN, Jingtao WANG

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article