Article
Engineering, Civil
Jian He, Yejia Qiang, Hongyu Luo, Shengyang Zhou, Limin Zhang
Summary: This study aims to develop a novel stress testing framework for evaluating urban system flooding upon extreme rainstorms in Hong Kong. The study focuses on the densely populated Kowloon area, incorporating detailed urban settings and validating the model through field observations. The results indicate that mitigation measures are needed to reduce the affected percentage and duration of underground mass transit railway stations and residential buildings during extreme rainstorms in order to ensure public transportation services and reduce potential exposure of residents.
JOURNAL OF HYDROLOGY
(2021)
Article
Green & Sustainable Science & Technology
Xin Su, Weiwei Shao, Jiahong Liu, Yunzhong Jiang, Jia Wang, Zhiyong Yang, Ning Wang
Summary: This study proposed an accounting framework for carbon emissions from integrated urban drainage system and conducted a case study in Xiamen, China. The results show that wastewater treatment and sludge treatment are the main contributors to carbon emissions from the system, and the sponge city drainage system can significantly reduce carbon emissions with an average reduction rate of 49%, bringing corresponding economic benefits.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Sciences
Dongdong Yang, Xin Zhao, Bruce C. Anderson
Summary: Sponge city planning aims to manage urban development land to prevent flooding and protect water resources. This study presents an improved planning method that accurately determines the VCRAR (volume capture ratio of annual rainfall) using two calculation models and integrates it into the management of urban development land. This method achieves a reasonable tradeoff between individual district development and environmental protection within the entire urban watershed.
Review
Green & Sustainable Science & Technology
Nawnit Kumar, Xiaoli Liu, Sanjena Narayanasamydamodaran, Kamlesh Kumar Pandey
Summary: Both India and China face urban flooding challenges and need to enhance localized low impact development planning. Improving inter-governmental and inter-agential coordination, exploring new funding avenues, and boosting community acceptance and participation are recommended.
Article
Engineering, Civil
Xiaojie Wang, Junqiang Xia, Meirong Zhou, Shanshan Deng, Qijie Li
Summary: This study evaluates the joint impact of rainfall and river water level on urban flooding in Wuhan city. The findings highlight the strong positive dependence between rainfall and water level, implying the underestimation of flood hazards if the interaction between different flood drivers is ignored. The research also reveals an increase in extreme events of heavy rainstorm and higher water levels in recent years, leading to a significant increase in the joint risk of urban flood.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Civil
Ruozhou Lin, Feifei Zheng, Yiyi Ma, Huan-Feng Duan, Shipeng Chu, Zhengzhi Deng
Summary: This paper proposes an improved framework with two spatially variable rainfall models to evaluate the impacts of spatially variable rainfall intensity on urban flooding. The study finds that spatially variable rainfall intensity can significantly increase urban flooding risk, and the impact patterns may vary with the characteristics of urban drainage systems.
WATER RESOURCES MANAGEMENT
(2022)
Article
Engineering, Environmental
Zhe Li, Yuanbo Cao, Jiupeng Zhang, Wolong Liu
Summary: This study focuses on the design of permeable asphalt pavement in North China by analyzing rainfall characteristics of five representative cities. Nine drainage pavement schemes applicable to Beijing were proposed, with results showing that the minimum total design thickness for permeable surface and basic layers meeting drainage requirements is 170 mm.
WATER SCIENCE AND TECHNOLOGY
(2021)
Article
Engineering, Civil
Fei Zhao, Jingzhi Cai, Hongyun Zeng, Zhiqiang Xie, Qingyun Du, Jianfeng Wang, Hao Qiu, Shi Chen, Zhiqun Hou
Summary: This study demonstrates that implementing the One City, One Executor, and One Network urban drainage management model helps reduce urban flooding, improve flood prevention in Kunming City, and proves the sustainability of this model.
NATURAL HAZARDS REVIEW
(2021)
Article
Environmental Sciences
Yuntao Wang, Zhen Liu, Guoqiang Wang, Wenchao Xue
Summary: Urban surface water flooding is increasing due to climate change and urbanization, posing challenges to sustainable urban development. China is implementing a sponge city initiative to address this issue. A study developed an evaluation framework to assess cost-effective mitigation strategies, demonstrating its effectiveness through a case study and providing new insights for sponge city construction.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Mingming Wang, Yuting Fang, Chris Sweetapple
Summary: A methodology for assessing urban drainage system flood resilience based on a "do-nothing" benchmark was proposed and demonstrated in a case study in Chizhou city, China. The method can compute mean flood duration and system resilience, help identify effective intervention schemes, and provide a new way to test different interventions to improve system resilience.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Environmental Sciences
Weitian Chen, Huan Wu, John S. Kimball, Lorenzo Alfieri, Nergui Nanding, Xiaomeng Li, Lulu Jiang, Wei Wu, Yingchun Tao, Shihu Zhao, Wenting Zhong
Summary: This paper proposes an integrated model for urban flood modeling that accurately predicts the occurrence and impacts of urban flooding. By incorporating the Storm Water Management Model (SWMM) and the Dominant river tracing-Routing Integrated with VIC Environment (DRIVE) model, the integrated model successfully simulates urban rainfall-runoff and pipe drainage processes, while considering natural river basin runoff generation and routing processes. The validity of the integrated model is confirmed through three case studies in Haikou City, China.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Chengyao Wei, Jin Wang, Peirong Li, Bingdang Wu, Hanhan Liu, Yongbo Jiang, Tianyin Huang
Summary: The study introduces a new strategy of combining roads, green spaces, and the drainage system to improve drainage performance and pollutant removal in urban road construction, providing a promising approach for the construction of sponge cities.
Article
Environmental Sciences
Yuanyuan Yang, Xiaoyan Xu, Dengfeng Liu
Summary: The temporal heterogeneity of rainfall in urban catchments has a significant impact on stormwater simulation and management. A new event-based stochastic parametric rainfall simulator (ESPRS) was proposed to simulate stormwater in a sponge city. The ESPRS uses five distributions to fit measured rainfall events and evaluates their performance. The simulation results reveal the influence of temporal rainfall characteristics on hydrological responses in the catchment.
Article
Green & Sustainable Science & Technology
Zi-Tong Zhao, Hou-Ming Cheng, Sheng Wang, Hai-Yan Liu, Zi-Ming Song, Jun-Hui Zhou, Ji-Wei Pang, Shun-Wen Bai, Shan-Shan Yang, Jie Ding, Nan-Qi Ren
Summary: An effective evaluation system is crucial for assessing sponge city construction schemes. However, challenges related to incomplete index selection and unscientific weight division still exist. This study constructed a scientific indicator system and quantitatively assigned weights at all levels. The evaluation methods were demonstrated through the assessment of three construction schemes. The results showed that a variable weight assessment could effectively balance the evaluation index states, and the concept of punishment and incentives could enhance the relative advantages of the schemes.
ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY
(2022)
Article
Engineering, Civil
Husnain Tansar, Huan-Feng Duan, Ole Mark
Summary: Recent studies show that low impact development (LID) is effective in preventing urban flooding in urban catchments, but little research has been done on how the performance of urban drainage systems (UDS) changes at the spatial scale under the effectiveness of LID. This study evaluates the performance of UDS under different spatial placement strategies of LID and finds that the placement location of LID has a significant impact on UDS performance, with uniform placement strategy being the best. Furthermore, placing LID facilities near flooded locations maximizes flood reduction benefits and reduces the transfer of hydraulic load to other parts of UDS.
WATER RESOURCES MANAGEMENT
(2022)
Article
Engineering, Geological
Tao Yan, Shui-Long Shen, Annan Zhou
Summary: This paper proposes a framework to identify geological characteristics using a fuzzy C-means algorithm based on borehole data and operational data. The identified factors are significantly reduced by principal component analysis, and the types of geological characteristics are determined using the fuzzy C-means model.
Article
Engineering, Geological
Pierre Guy Atangana Njock, Ning Zhang, Annan Zhou, Shui-Long Shen
Summary: This study proposes an improved random forest (IRF) model to evaluate ground displacement caused by jet grouting. By integrating a hybrid particle swarm optimization-simulated annealing algorithm (PSO-SA) into random forest, the IRF model shows better searching and convergence abilities compared to its counterparts. The results demonstrate that the IRF model outperforms benchmark models in predicting ground displacement. Additionally, the analysis of variable importance shows that ground lateral displacement can be controlled through two operating parameters.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING
(2023)
Article
Environmental Sciences
Tao Yan, Annan Zhou, Shui-Long Shen
Summary: A new framework for predicting long-term water quality is proposed using Bayesian-optimized machine learning methods and key pollution indicators. The SG-op model achieves the best performance with high accuracy and Kappa coefficient. The framework can efficiently predict future water quality and provide technical support for emergency pollution control.
ENVIRONMENTAL POLLUTION
(2023)
Article
Green & Sustainable Science & Technology
Pierre Guy Atangana Njock, Annan Zhou, Zhenyu Yin, Shui-Long Shen
Summary: This study proposes a flexible methodology for quantifying the risk status of coastal subbasins, which integrates the characteristics of multi-criteria analysis and fuzzy set theory. The methodology includes constructing a risk index to reveal the extent of cumulative nutrients discharges. The application of the proposed model in the Baltic Sea shows an increasing trend of risk index over the years and aligns well with field observations and HELCOM predictions.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Chemical
Xin Liu, Annan Zhou, Kai Sun, Shui-Long Shen
Summary: In this study, the influence of suction on the macro/micro-mechanical behaviour of unsaturated soil was investigated through a series of three-dimensional simulations using the discrete element method. The results were compared with laboratory test results to understand the relationship between macroscopic behavior and micro-mechanical variables.
Article
Construction & Building Technology
Shui-Long Shen, Tao Yan, Annan Zhou
Summary: This paper presents an approach for estimating the locations of the soil-rock interfaces during shield tunnelling based on vibration data. The vibration data were collected using accelerometers on the back of the soil chamber wall. The continuous wavelet transform was used to analyze the time-frequency spectrum of the acceleration and identify vibration peaks. The approach was validated on the Guangzhou-Foshan intercity railway project.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Engineering, Geological
Song-Shun Lin, Annan Zhou, Shui-Long Shen
Summary: Risk events in karst geological environments during excavation construction can be reduced by implementing a suitable risk-control scheme. This study proposes a decision-making approach based on the fuzzy VIKOR method to identify the optimal risk-control scheme. The approach uses a triangular fuzzy set for expressing expert judgements and constructs a decision hierarchy based on four criteria and 12 sub-criteria. The identified scheme, involving pressure grouting with a two-phase liquid system, was validated through core recovery and modified number of blows using a standard penetration test. A flowchart for optimal scheme identification in geotechnical engineering practice is also provided.
CANADIAN GEOTECHNICAL JOURNAL
(2023)
Article
Environmental Sciences
Yu -Lin Chen, Lin-Shuang Zhao, Annan Zhou, Shui-Long Shen
Summary: This paper presents a case study on the hazards of red tides in the Pearl River Estuary. Data on red tide hazards, meteorology, and seawater monitoring were collected from 1996 to 2020 in different locations around the estuary to investigate the factors influencing red tide occurrences. The ASSETS method was used to evaluate the effects of meteorological factors and seawater eutrophication on the risk level of red tides. The study established a framework for red tide risk assessment and identified external and internal factors contributing to red tide formation.
MARINE ENVIRONMENTAL RESEARCH
(2023)
Article
Engineering, Geological
Ning Zhang, Annan Zhou, Yin-Fu Jin, Zhen-Yu Yin, Shui-Long Shen
Summary: The study proposes an enhanced deep learning method to address the accuracy issue in neural network-based methods for soil stress-strain response. The enhanced method significantly improves accuracy, extrapolation capacity, and robustness. A rationality investigation is conducted into the weight gradient variation in neural networks. The effectiveness is verified through three stress-strain responses of soil, demonstrating improved predictive accuracy and robustness against errors.
Article
Construction & Building Technology
Song-Shun Lin, Annan Zhou, Shui-Long Shen
Summary: This study develops an intelligent multi-criteria decision-making (MCDM) model to select the optimal construction method for complex and fuzzy construction environments in underground infrastructure construction (UIC) in China. The model consists of three stages: decision hierarchy establishment and data collection, data processing, and MCDM modelling. It also introduces the coefficient of variation for spherical fuzzy set to evaluate the degree of consensus on judgments of experts towards evaluated objects, and outlines a decision hierarchy for the optimal construction method for UIC. The developed model provides an alternative approach to address complex decision-making issues in the UIC field.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Engineering, Geological
Wei Cao, Annan Zhou, Shui-Long Shen
Summary: This paper proposes a coupled method for characterizing the stratigraphic uncertainty and rotated anisotropy of soil properties, and investigates the unsaturated soil slope stability considering the two uncertainties. The results show that the proposed method can well characterize the two uncertainties at the same time, and the rotational anisotropy of soil properties has a substantial impact on the slope stability and groundwater table.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
(2023)
Article
Engineering, Civil
Yi Zeng, Pierre Guy Atangana Njock, Wang Xiong, Xiao-Long Zhang, Shui-Long Shen
Summary: This paper presents a case study on the identification and management of geological and environmental risks during the construction of the largest slurry shield tunnel in China. The ground conditions and settlement control were challenging due to mixed ground conditions, fault zones, and tunneling under residential areas and Metro Lines. Novel monitoring systems, ground treatment, and safety management technologies were successfully implemented. A technical framework was proposed as a risk management guidance for similar tunneling operations.
Article
Energy & Fuels
Shui-Long Shen, Pierre Guy Atangana Njock, Annan Zhou
Summary: This paper investigates the effect of nozzle structure on efficiency of jet flow and determines the optimal nozzles for jet grouting operations through a combination of field experiment, numerical simulation, and multicriteria decision analysis. The results show that 4 out of the 10 structures investigated achieved the steadiest jetting pressure attenuation along different standoff distances, while satisfying the required driving pressure and flow rate. The study identified the converging section as critical for the conversion of viscous force within the nozzle and determined the optimal nozzle structure based on parameters such as L2 and theta.
GEOENERGY SCIENCE AND ENGINEERING
(2023)
Article
Environmental Sciences
Khalid Elbaz, Wafaa Mohamed Shaban, Annan Zhou, Shui-Long Shen
Summary: This study proposes an image-based deep learning method that improves air quality recognition and produces accurate multiple horizon forecasts. The proposed model combines a 3D-CNN, a GRU, and an attention mechanism to extract hidden features, recognize environmental variables, extract temporal features, and adjust the influence of features to avoid fluctuations in air pollutant values. Experimental results show that the proposed method outperforms other state-of-the-art methods in terms of forecasting accuracy.
Article
Construction & Building Technology
Tao Yan, Shui-Long Shen, Annan Zhou
Summary: Geological features are crucial for the safety and efficiency of shield tunnelling, but they are often concealed and difficult to observe. To address this issue, a novel index called Geological Feature Identification Index (GFII) has been introduced to evaluate the impact of geological conditions on shield tunnelling. The results show that cutterhead torque and shield thrust weights are significantly affected by various geological features, with the entropy-weighted GFII demonstrating superior performance.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2023)
Article
Engineering, Civil
Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani
Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen
Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao
Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan
Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown
Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu
Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao
Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang
Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu
Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu
Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Manuel Almeida, Antonio Rodrigues, Pedro Coelho
Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang
Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal
Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus
Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Constantin Seidl, Sarah Ann Wheeler, Declan Page
Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.
JOURNAL OF HYDROLOGY
(2024)
