A5070408970- Coastal wetland ecosystem dynamics
- Urban Stormwater Management Solutions
- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Coastal and Marine Dynamics
- Geological formations and processes
- Hydrological Forecasting Using AI
- Urban Heat Island Mitigation
- Bacteriophages and microbial interactions
- Soil erosion and sediment transport
- Marine and coastal plant biology
- Environmental Quality and Pollution
- Hydrology and Sediment Transport Processes
- Peatlands and Wetlands Ecology
- Groundwater flow and contamination studies
- Noise Effects and Management
- Environmental Changes in China
- Parasites and Host Interactions
- Wetland Management and Conservation
- Coastal and Marine Management
- Smart Materials for Construction
- Viral gastroenteritis research and epidemiology
- Image and Video Stabilization
- Agriculture Sustainability and Environmental Impact
- Helminth infection and control
Yangzhou University
2024
University of Hong Kong
2017-2023
Ministry of Ecology and Environment
2022-2023
Fujian Normal University
2022
Nanjing Normal University
2022
Xishuangbanna Tropical Botanical Garden
2021
Chinese University of Hong Kong
2003-2020
Zhejiang University of Technology
2018-2020
East China Normal University
2014-2019
Case Western Reserve University
2018
National Natural Science Foundation of China [40876043]; PAPD fund; Scholarship Council [2010832427]; MEL Young Scientist Visiting Fellowship [MELRS0938]
Abstract. Sustainable urban drainage systems (SuDS) are decentralized stormwater management practices that mimic natural processes. The hydrological processes of SuDS often modeled using process-based models. However, it can require considerable effort to set up these This study thus proposes a machine learning (ML) method directly learn the statistical correlations between responses and forcing variables at sub-hourly timescales from observation data. proposed methods applied two catchments...
GAO, J.; BAI, F.; YANG, Y.; GAO S.; LIU, Z., and LI, J., 2012. Influence of Spartina colonization on the supply accumulation organic carbon in tidal salt marshes northern Jiangsu Province, China.Two species cordgrass (Spartina anglica Hubbard alterniflora Loisel.) were artificially introduced to intertidal zone China, 1963 1982, respectively. However, as alien species, impact flat ecosystem remains largely unknown. Suaeda salsa Phragmites australis, two native plants are C3-type plants,...
Abstract Low impact development (LID) practices are often applied to compensate for surface imperviousness caused by urban development. These can mitigate flood risk reducing runoff volume and peak flow delaying the time flow. To select a suitable LID practice type its area during preliminary design process, it is necessary rapidly estimate hydrologic performance of various designs under storms. This study provides method toolbox rapid assessment practices, which be useful developers...
Abstract The reliability of the machine learning model prediction for a given input can be assessed by comparing it against actual output. However, in hydrological studies, models are often adopted to predict future or unknown events, where outputs unavailable. accuracy model, which measures its average performance across an observed data set, may not relevant specific input. This study presents method based on metamorphic testing (MT), from software engineering, assess unknown. In this...
Abstract Hydrological models are simplified representations of catchments. Finding an appropriate model instance (i.e., a combination structure and parameter values) for given catchment is fundamental problem in hydrological modeling. This study develops latent factor‐based machine learning method to learn predict the pairwise association between behavioral characteristics under climate forcing instance. The underlying assumption that behaviors catchments instances can be sufficiently well...
Abstract. Sustainable drainage systems (SuDS) are decentralized stormwater management practices that mimic the natural processes. Their modeling is often challenged by insufficient data and unknown factors affecting hydrological This study uses machine learning methods to model directly correlation between responses rainfalls at fine temporal scales in two catchments of different sizes. A feature engineering method developed extract useful information from rainfall time series used...
Abstract The United States Environmental Protection Agency’s Storm Water Management Model (SWMM) is widely used to predict the quantity and quality of stormwater runoff runoffs from other drainage systems in urban catchments. However, it can be useful replace green infrastructure (GI) model SWMM for certain applications. This paper explains why how GIs modeled using models choice proposes a method systematically incorporate external GI into when elements catchment. A file‐based coupling...
Flooding is one of the key environmental factors affecting carbon sequestration potential estuarine tidal flat wetlands. In order to reveal effect flooding on soil (C) sinks in wetlands, we investigated and analyzed organic (SOC) storage, contents active SOC components, stability indicators across a Jiulong River estuary southeast China. The results showed that storage gradually decreased by 54% with increase frequency. change pattern microbial biomass (MBC), dissolved (DOC), liable (LOC)...