Caihong Hu
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View article: The Evolution and Hotspots of Expectancy-Value Theory Research
The Evolution and Hotspots of Expectancy-Value Theory Research Open
View article: River basin urban flood resilience: A multi-dimensional framework for risk mitigation to adaptive management and ecosystem protection under changing climate
River basin urban flood resilience: A multi-dimensional framework for risk mitigation to adaptive management and ecosystem protection under changing climate Open
Study region: This study aims at the Kunhar River Basin, Pakistan, that has been facing repeated flood occurrences on a recurring basis. As the flood susceptibility of this area is high, its topographic complexity demands correct predictiv…
View article: The evolution of comorbidities in chronic diseases among Chinese middle-aged and elderly people: Evidence from the CHARLS (2015-2020)
The evolution of comorbidities in chronic diseases among Chinese middle-aged and elderly people: Evidence from the CHARLS (2015-2020) Open
Background The comorbidity of chronic diseases among middle-aged and elderly people is a global public health concern that has attracted great attention in recent years. It is crucial to explore the evolutionary pattern of chronic disease …
View article: The influence of roughness in the floodplain of the lower yellow river on water depth and flow velocity of overbank floods
The influence of roughness in the floodplain of the lower yellow river on water depth and flow velocity of overbank floods Open
Study region: The Jiahetan to Gaocun section floodplain of the Lower Yellow River (LYR). Study focus: The LYR exhibits a typical wide-shallow compound channel morphology, with frequent floodplain flooding driven by geographical location an…
View article: Research on a hybrid model for flood probability prediction based on time convolutional network and particle swarm optimization algorithm
Research on a hybrid model for flood probability prediction based on time convolutional network and particle swarm optimization algorithm Open
View article: Runoff Simulation Based on Landscape Pattern Classification and Machine Learning
Runoff Simulation Based on Landscape Pattern Classification and Machine Learning Open
View article: Research on the Mechanical Properties of the Improved Tin Tailing Silty Sand (TTSS) Based on the Unconfined Compressive Strength Test
Research on the Mechanical Properties of the Improved Tin Tailing Silty Sand (TTSS) Based on the Unconfined Compressive Strength Test Open
View article: Uncovering the Dynamic Drivers of Floods Through Interpretable Deep Learning
Uncovering the Dynamic Drivers of Floods Through Interpretable Deep Learning Open
The formation of floods, as a complex physical process, exhibits dynamic changes in its driving factors over time and space under climate change. Due to the black‐box nature of deep learning, its use alone does not enhance understanding of…
View article: Research on a hybrid model for flood probability prediction based on time convolutional network and particle swarm optimization algorithm
Research on a hybrid model for flood probability prediction based on time convolutional network and particle swarm optimization algorithm Open
Accurate advance flood forecasting is beneficial for planning watershed flood prevention measures in advance. In this study, the PSO-TCN-Bootstrap flood forecasting model for the Tailan River Basin in Xinjiang was constructed by coupling p…
View article: An interpretable hybrid deep learning model for flood forecasting based on Transformer and LSTM
An interpretable hybrid deep learning model for flood forecasting based on Transformer and LSTM Open
Study region: Flood formation involves complex nonlinear processes and numerous variables, with data-driven models becoming a key non-engineering approach to flood prevention and mitigation. Yet, single machine learning models are insuffic…
View article: Application of a hybrid algorithm of LSTM and Transformer based on random search optimization for improving rainfall-runoff simulation
Application of a hybrid algorithm of LSTM and Transformer based on random search optimization for improving rainfall-runoff simulation Open
View article: Construction of a semi-distributed hydrological model considering the combination of saturation-excess and infiltration-excess runoff space under complex substratum
Construction of a semi-distributed hydrological model considering the combination of saturation-excess and infiltration-excess runoff space under complex substratum Open
Study region: Typical basin in humid areas in the Huaihe River Study focus: Accurate flood forecasting is essential for making timely decisions regarding flood control and disaster reduction. The theory of watershed runoff generation …
View article: Research on Machine Learning Hybrid Framework for Flood Forecasting by Integrating Physical Processes of Runoff Generation and Vectorized Flood Processes
Research on Machine Learning Hybrid Framework for Flood Forecasting by Integrating Physical Processes of Runoff Generation and Vectorized Flood Processes Open
One of the important non-engineering measures for flood forecasting and disaster reduction in watersheds is the application of machine learning flood prediction models, with Long Short-Term Memory (LSTM) being one of the most representativ…
View article: Evolution of channel roughness and influencing factors in the wide floodplain of the Lower Yellow River in recent 20 years
Evolution of channel roughness and influencing factors in the wide floodplain of the Lower Yellow River in recent 20 years Open
The key factor influencing flood evolution and the progression of riverbed erosion and silting in the wide floodplain of the Lower Yellow River (LYR) is channel roughness. The distribution law of channel roughness has changed since the imp…
View article: Construction of a semi-distributed hydrological model considering the combination of saturation-excess and infiltration-excess runoff space under complex substratum
Construction of a semi-distributed hydrological model considering the combination of saturation-excess and infiltration-excess runoff space under complex substratum Open
Study region: Typical basin in humid areas in the Huaihe River Study focus: Accurate flood forecasting is essential for making timely decisions regarding flood control and disaster reduction. The theory of watershed runoff generation and c…
View article: Evaluation of the nutrition literacy assessment questionnaire for college students and identification of the influencing factors of their nutrition literacy
Evaluation of the nutrition literacy assessment questionnaire for college students and identification of the influencing factors of their nutrition literacy Open
Background Nutrition health has become a major public health issue in both high and middle-income countries. Nutrition literacy is an important indicator to evaluate the effect of public health intervention and one of the important concept…
View article: Study on Ensemble Calibration of Flood Forecasting Based on Response curve of rainfall dynamic system and LSTM.
Study on Ensemble Calibration of Flood Forecasting Based on Response curve of rainfall dynamic system and LSTM. Open
A dynamic system response curve correction method is used to establish the error of the rainfall time series, modify the surface precipitation of the basin, and use the surface precipitation of the revised as input to improve flood forecas…
View article: Simulation of urban flood process based on a hybrid LSTM-SWMM model
Simulation of urban flood process based on a hybrid LSTM-SWMM model Open
This study proposes a novel hybrid LSTM-SWMM model that integrates the advantages of SWMM model and the LSTM neural network for the first time to predict runoff in urban areas. The aim is to build an efficient and rapid model that takes in…
View article: Climate Change Critique on Damsand Anthropogenic Impact to MediterraneanMountains for Freshwater Ecosystem- a Review
Climate Change Critique on Damsand Anthropogenic Impact to MediterraneanMountains for Freshwater Ecosystem- a Review Open
The average annual temperature, precipitation, and evaporation patterns are some of the characteristics which indicate to a globe where climate is rapidly changing.It remains uncertain regarding how this rapid climate change will impact fr…
View article: flood forecasting based on machine learning pattern recognition and dynamic migration of parameters
flood forecasting based on machine learning pattern recognition and dynamic migration of parameters Open
Study region: Typical basin in semi-arid and semi humid areas in the middle reaches of the Yellow River Study focus: Floods are among the most devastating natural disasters. Timely and accurate forecasting of runoff is crucial to safeguard…
View article: Are global influences of cascade dams affecting river water temperature and fish ecology?
Are global influences of cascade dams affecting river water temperature and fish ecology? Open
Global warming is affecting animal populations worldwide, through chronic temperature increases and an increase in the frequency of extreme heatwave events. Reservoirs are essential for water security. All watersheds with reservoirs are im…
View article: Anthropocentric perspective on climatic variability, potentially toxic elements, and health risk assessment in the Mansehra district: a case study of the Kunhar River, Pakistan
Anthropocentric perspective on climatic variability, potentially toxic elements, and health risk assessment in the Mansehra district: a case study of the Kunhar River, Pakistan Open
The quality of the surface water along the Kunhar River in Mansehra district, KPK Pakistan was assessed for ten water samples stations. A variety of parameters indicating water quality including physicochemical parameters, nutrients, heavy…
View article: Spatio-temporal variations of vegetation cover and its influence on surface air temperature change over the Yellow River Basin, China
Spatio-temporal variations of vegetation cover and its influence on surface air temperature change over the Yellow River Basin, China Open
Northwest China has experienced dramatic changes in vegetation cover over the past few decades with the Yellow River Basin (YRB) being the most representative area. As the major climate-sensitive area in China, vegetation cover change is o…
View article: Urban storm flood simulation using improved <scp>SWMM</scp> based on K‐means clustering of parameter samples
Urban storm flood simulation using improved <span>SWMM</span> based on K‐means clustering of parameter samples Open
To address the two problems of unclear delineation of sub‐catchment and complicated and cumbersome parameter rate determination in the Storm Water Management Model (SWMM), this study proposes a rapid construction method of SWMM based on th…
View article: Study on the Application of Clustering Method in the Determination of Uncertainty Parameters of SWMM Model
Study on the Application of Clustering Method in the Determination of Uncertainty Parameters of SWMM Model Open
Storm Water Management Model (SWMM) is one of the most commonly used models in urban flood simulation. However, because the calibration and verification of the model's uncertainty parameters are extremely dependent on the measured flood da…
View article: Identifying dominant component of runoff yield processes: a case study in a sub-basin of the middle Yellow River
Identifying dominant component of runoff yield processes: a case study in a sub-basin of the middle Yellow River Open
The effects of long-term natural climate change and human activities on runoff generation mechanism in the middle Yellow River Basin are long-standing concerns. This study analyzed the characteristics of hydro-climatic variables in the mes…
View article: Real-Time Flood Classification Forecasting Based on k-Means++ Clustering and Neural Network
Real-Time Flood Classification Forecasting Based on k-Means++ Clustering and Neural Network Open
Floods are one of the most dangerous disasters that affect human beings. Timely and accurate flood forecasting can effectively reduce losses to human life and property as well as improve the utilization rate of flood resources. In this stu…
View article: Application of temporal convolutional network for flood forecasting
Application of temporal convolutional network for flood forecasting Open
Rainfall–runoff modeling is a complex nonlinear time-series problem in the field of hydrology. Various methods, such as physical-driven and data-driven models, have been developed to study the highly random rainfall–runoff process. In the …
View article: City Flood Disaster Scenario Simulation based on 1D-2D Coupled Rain-flood Model: A Case Study in Luoyang, China
City Flood Disaster Scenario Simulation based on 1D-2D Coupled Rain-flood Model: A Case Study in Luoyang, China Open
In order to realize the reproduction and simulation of urban rainstorm and waterlogging scenarios with complex underlying surfaces. Based on the Mike series models, we constructed an urban storm-flood coupling model considering one-dimensi…
View article: Precipitation changes and their relationships with vegetation responses during 1982–2015 in Kunhar River basin, Pakistan
Precipitation changes and their relationships with vegetation responses during 1982–2015 in Kunhar River basin, Pakistan Open
Precipitation is a major determinant of vegetation growth. The impact of precipitation variability is more pronounced in ecosystems where sensitive vegetation is apparent. Therefore, understanding the relationship between precipitation and…