Shuo Wang

Shuo Wang
The Hong Kong Polytechnic University | PolyU · Department of Land Surveying and Geo-Informatics

PhD

About

78
Publications
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1,270
Citations

Publications

Publications (78)
Article
Full-text available
The dry-wet abrupt alternation (DWAA) event, which is defined as the phenomenon of dry (or wet) spells abruptly following wet (or dry) spells, magnifies the influence of individual wet and dry events. The dynamic evolution of DWAA events has not been studied for different climate zones of China that is particularly susceptible to dry and wet extrem...
Article
Understanding future river flood risk is a prerequisite for developing climate change adaptation strategies and enhancing disaster resilience. Previous flood risk assessments can barely take into account future changes of fine-scale hydroclimatic characteristics and hardly quantify multivariate interactions among flood variables, thereby resulting...
Article
Full-text available
The overtopping of flood defenses by extreme storm surges during tropical cyclones poses a significant threat to life and property in coastal and estuarine regions. Since little effort has been devoted to investigating the complex interaction of multiple mechanisms causing extreme storm surges, for the first time, we propose a robust data-driven fr...
Article
Full-text available
Plain Language Summary Heat waves and heavy rainfall have profound impacts on humans, ecosystems and society. Despite the well‐understood mechanisms of heat waves and heavy rainfall, current knowledge on the abrupt transitions from deadly heat waves to devastating downpours remains unclear as they are usually treated as isolated events in previous...
Article
Full-text available
The emergence of flash drought has attracted widespread attention due to its rapid onset. However, little is known about the recent evolution of flash droughts in terms of the speed of onset and the causes of such a rapid onset phase of flash droughts. Here, we present a comprehensive assessment of the onset development of flash droughts and the un...
Article
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The compound of late winter snow droughts and early spring heatwaves (CSDHW) could dramatically affect ecosystems and water availability, but has not been systematically investigated. Here we present a comprehensive assessment of CSDHW events and possible driving mechanisms. We find that 7% of the snow-covered area experiences significant (p < 0.05...
Article
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Physically based hydrologic models have been extensively used for hydroclimatic projections, but key challenges remain owing to the heavy computational burden and structural variability of physically based models. In this study, we develop a vine copula‐based polynomial chaos framework for improving multi‐model projections of hydroclimatic regimes...
Article
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Machine learning (ML) models have been widely used for hydrological simulation. Previous studies have reported that conventional ML models fail to accurately simulate extreme flows which are crucial for design flood estimation and associated risk analysis in the context of climate change. Therefore, this study proposes a joint probabilistic rainfal...
Article
Full-text available
Streamflow prediction plays a crucial role in water resources systems planning and the mitigation of hydrological extremes such as floods and droughts. Since a variety of uncertainties exist in streamflow prediction, it is necessary to enhance our efforts to robustly address uncertainties and their interactions for improving the reliability of stre...
Preprint
Spatiotemporal variation in rainfall erosivity resulting from changes in rainfall characteristics due to climate change has implications for soil erosion in developing countries. It is of great significance to understand the past and future changes of rainfall erosivity and its implications in different regions of China on a national scale to promo...
Article
Full-text available
Streamflow simulations at daily time steps are vital to water resources management, especially in arid regions. Previously, data‐driven models have been used as an effective tool for daily streamflow simulation. However, the accuracy of conventional data‐driven approaches is affected by the temporal autocorrelation of daily streamflow, especially i...
Article
Sustainable stormwater management benefits a lot from low impact development (LID). The early-stage design of LID layout is of critical for LID practices. However, the technology gaps still exist for an accurate, flexible, systematic solution of optimal design. Literatures usually only consider the size and number of LID facilities in a given scena...
Article
Full-text available
Understanding future drought risks plays a crucial role in developing climate change adaptation strategies and in enhancing disaster resilience. However, previous studies may lead to biased conclusions due to the neglect of two factors, including the relative performance of climate simulations and the uncertainty in drought characterization. In thi...
Article
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Climate change leads to a more frequent occurrence of hot days (HDs) and hot nights (HNs). The consecutive occurrence of HDs and HNs (COHs) is often used as a measure of the persistence of an extremely hot spell. Nonetheless, the combined effect of air temperature and relative humidity on the changing COHs has never been studied. In this paper, we...
Article
The relationship between extreme precipitation intensity and temperature has been comprehensively studied over different regions worldwide. However, the effect of temperature on the spatio-temporal organization of precipitation, which can have a significant impact on precipitation intensity, has not been adequately studied or understood. In this st...
Article
Irrigation systems play vital roles not only in food production but also in supporting ecosystems. Understanding how the ecosystem has evolved in response to human activities is critical for sustainable food production, especially for arid and semi-arid regions. In this study, we examined the trends of vegetation growth on a monthly basis in the an...
Preprint
Full-text available
The abrupt shift from drought to heavy rainfall can lead to consecutive drought-flood hazards with high socioeconomic losses. However, past and future changes in such abrupt shift events remain poorly understood. Here we show that the lagged dependence of drought and heavy rainfall may double the probability of consecutive drought-flood hazards tha...
Article
The intensification of heat stress in a changing climate poses great threats to both human health and labor productivity. It is of great practical importance to assess the impacts of climate-induced heat stress on labor productivity and to develop effective adaptation strategies. In this paper, an integrated optimization-based productivity restorat...
Article
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The Guangdong-Hong Kong-Macao Greater Bay Area (GBA) is the world’s largest bay area in terms of land area and population, which has been increasingly suffering from weather and climate extremes under global warming. It is thus desired to produce reliable high-resolution climate information at a regional scale in order to enhance resilience to clim...
Article
The conterminous marine system of the Bering Sea serves as an important connection between the Pacific and the Arctic. Surface water temperatures of the Northern Pacific have been rising over the past decades with associated changes in extremes: marine heatwaves (MHWs). This study aims to explore the spatiotemporal evolution characteristics and occ...
Article
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The intensification of heat stress reduces the labor capacity and hence poses a threat to socio-economic development. The reliable projection of the changing climate and the development of sound adaptation strategies are thus desired for adapting to the decreasing labor productivity under climate change. In this study, an optimization modeling appr...
Preprint
Full-text available
Flash droughts can cause more serious environmental and agricultural impacts than traditional droughts because of the sudden onset and rapid intensification. However, it remains unclear how rapidly flash droughts develop and intensify worldwide. Here, we present for the first time a comprehensive assessment of the onset development phase of flash d...
Article
Full-text available
The frequency and intensity of extreme hydrological events (droughts and floods) have been increasing over the past few decades, which has been posing a threat to water security and agriculture production. Thus, projecting the future evolution of hydrological extremes plays a crucial role in sustainable water management and agriculture development...
Article
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The reliable projection of future changes in hydrological drought characteristics plays a crucial role in providing meaningful insights into agricultural development and water resources planning under climate change. In this study, we develop probabilistic projections of hydrological drought characteristics through a convection‐permitting climate s...
Preprint
Full-text available
Understanding future drought risk is a prerequisite for developing climate change adaptation strategies and for enhancing disaster resilience. In this study, we develop multi-model probabilistic projections of multidimensional drought risks under two representative emission scenarios (RCP4.5 and RCP8.5) through a copula-based Bayesian framework. An...
Article
Climate change may alter energy demand as well as energy supply, thus pose a threat to energy security. This study investigates the long-term energy security responses to climate change for Ontario from a planning perspective. A regional climate model (RCM) is employed to assess the climate-driven changes in energy sectors at a 25 km × 25 km resolu...
Article
Full-text available
Exploring the dynamic evolution of the abrupt alternation between wet and dry spells in adjacent months plays a crucial role in water resources planning and agricultural development in a changing climate. The dry‐wet abrupt alternation (DWAA) has been studied based on hydrometeorological observations over the past several years. However, little eff...
Article
Full-text available
The perceived temperature has been changing rapidly under global warming, and its related extremes have significant impacts on labor productivity and human health. Although numerous thermal indices have been developed to quantify the perceived temperature, impact assessments have not been conducted comprehensively. The lack of exploring the nonline...
Conference Paper
The reliable projection of future drought characteristics plays a crucial role in climate change adaptation and disaster risk reduction. We develop a probabilistic framework for projecting future changes in multivariable drought characteristics through convection-permitting Weather Research and Forecasting (WRF) simulations with 4 km horizontal gri...
Article
Evapotranspiration (ET) is a key component of the hydrologic cycle. Knowledge of ET is important for modelling hydrologic fluxes and improving water resource management. Various remote sensing-based ET modelling studies have been conducted for investigating water demand in agricultural areas. However, ET modelling studies of urban areas are rare du...
Article
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Understanding future changes in hydroclimatic variables plays a crucial role in improving resilience and adaptation to extreme weather events such as floods and droughts. In this study, we develop high-resolution climate projections over Texas by using the convection-permitting Weather Research and Forecasting (WRF) model with 4 km horizontal grid...
Article
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The “dry gets drier, wet gets wetter” (DGDWGW) paradigm well describes the pattern of precipitation changes over the oceans. However, it has also been usually considered as a simplified pattern of regional changes in wet/dry under global warming, although GCMs mostly do not agree this pattern over land. To examine the validity of this paradigm over...
Article
Data assimilation using the ensemble Kalman filter (EnKF) has been increasingly recognized as a promising tool for probabilistic hydrologic predictions. However, little effort has been made to conduct the pre- and post-processing of assimilation experiments, posing a significant challenge in achieving the best performance of hydrologic predictions....
Article
The ensemble Kalman filter (EnKF) is recognized as a powerful data assimilation technique that generates an ensemble of model variables through stochastic perturbations of forcing data and observations. However, relatively little guidance exists with regard to the proper specification of the magnitude of the perturbation and the ensemble size, posi...
Article
Full-text available
In this paper, a conditional value-at-risk based factorial stochastic programming approach is proposed to address random uncertainties and their interactions in a systematic manner. Random variables can be addressed through a risk-averse method within the two-stage stochastic programming framework. Interactions between random variables are examined...
Article
The particle filtering techniques have been receiving increasing attention from the hydrologic community due to its ability to properly estimate model parameters and states of nonlinear and non-Gaussian systems. To facilitate a robust quantification of uncertainty in hydrologic predictions, it is necessary to explicitly examine the forward propagat...
Article
A multi-level fuzzy-factorial inference approach was proposed to examine the sorption behavior of phenanthrene on palygorskite modified with a gemini surfactant. Fuzzy set theory was used to determine five experimentally controlled environmental factors with triangular membership functions, including initial concentration, added humid acid dose, io...
Article
In this study, a risk-based interactive multi-stage stochastic programming (RIMSP) approach is proposed through incorporating the fractile criterion method and chance-constrained programming within a multi-stage decision-making framework. RIMSP is able to deal with dual uncertainties expressed as random boundary intervals that exist in the objectiv...
Article
In this study, a multi-level factorial-vertex fuzzy-stochastic programming (MFFP) approach is developed for optimization of water resources systems under probabilistic and possibilistic uncertainties. MFFP is capable of tackling fuzzy parameters at various combinations of α-cut levels, reflecting distinct attitudes of decision makers towards fuzzy...
Article
This paper presents a factorial possibilistic-probabilistic inference (FPI) framework for estimation of hydrologic parameters and characterization of interactive uncertainties. FPI is capable of incorporating expert knowledge into the parameter adjustment procedure for enhancing the understanding of the nature of the calibration problem. As a compo...
Article
In this paper, a risk-based factorial probabilistic inference method is proposed to address the stochastic objective function and constraints as well as their interactions in a systematic manner. To tackle random uncertainties, decision makers’ risk preferences are taken into account in the decision process. Statistical significance for each of the...
Article
The present study proposes a copula-based chance-constrained waste management planning method. The method can effectively reflect the interactions between random parameters of the waste management planning systems, and thus help analyze the influences of their interactions on the entire systems. In particular, a joint distribution function is estab...
Article
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In this paper, we propose a factorial fuzzy programming (FFP) approach for planning water resources management systems. The conventional fuzzy method cannot reflect the interactions among uncertain system parameters nor quantify their interactive effects. This may lead to important interrelationships among system parameters being neglected in syste...
Article
This paper presents a polynomial chaos ensemble hydrologic prediction system (PCEHPS) for an efficient and robust uncertainty assessment of model parameters and predictions, in which possibilistic reasoning is infused into probabilistic parameter inference with simultaneous consideration of randomness and fuzziness. The PCEHPS is developed through...
Article
Due to rapid growth of population and development of economy, water resources allocation problems have aroused wide concern. Therefore, optimization of water resources systems is complex and uncertain, which is a severe challenge faced by water managers. In this paper, a factorial multi-stage stochastic programming with chance constraints approach...
Article
Full-text available
In this study we propose a factorial fuzzy two-stage stochastic programming (FFTSP) approach to support water resources management under dual uncertainties. The dual uncertainties in terms of fuzziness in modeling parameters and variability of α-cut levels are taken into account. As different α-cut levels are assigned to each fuzzy parameter (inste...
Article
Flooding is one of the leading causes of loss due to natural catastrophes, and at least one third of all losses due to natural forces can be attributed to flooding. Flood management systems involve a variety of complexities, such as multiple uncertainties, dynamic variations, and policy implications. This paper presents an inexact probabilistic-pos...
Article
In this study, a stochastic programming with imprecise probabilities (SP-IP) model is proposed for planning water resources systems. The SP-IP model is capable of addressing multiple uncertainties in the forms of intervals with random boundaries and imprecise probability distributions. The stochastic optimization model can be transformed into a det...
Article
This paper presents a multi-level Taguchi-factorial two-stage stochastic programming (MTTSP) approach for supporting water resources management under parameter uncertainties and their interactions. MTTSP is capable of performing uncertainty analysis, policy analysis, factor screening, and interaction detection in a comprehensive and systematic way....
Conference Paper
In recent years, there has been an increasing concern about the implications of climate change on water resources. Climate change has posed significant challenges to watershed management by changing the frequency and severity of extreme weather events, such as heat/cold waves, storms, floods and droughts. In this study, a regional climate model (PR...
Article
Flood management systems involve a variety of complexities, such as multiple uncertainties and their interdependences, as well as multiregion and dynamic features. This paper thus presents an inexact two-stage mixed-integer programming with random coefficients (ITMP-RC) model for flood management in a dynamic and uncertain environment. ITMP-RC is c...
Article
In this study, different interpolation techniques in a geographical information system (GIS) environment are analysed and compared for estimating the spatial distribution of precipitation in the province of Ontario, Canada. A high-resolution regional climate modelling system [Providing Regional Climates for Impacts Studies (PRECIS)] is used to simu...
Article
The construction of China's smart grid mainly focuses on the development of the ultra-high voltage line, which benefits the inter-regional energy transmission. The inter-regional energy exchange can promote the development of the energy industry in West China where there is an economic backwardness; at the same time it can reduce the pressure of en...
Article
This paper presents an interval-parameter two-stage stochastic fuzzy programming with type-2 membership functions (ITSFP–T2MF) approach for supporting water resources management under uncertainty. ITSFP–T2MF is capable not only of dealing with a variety of uncertainties expressed as probability distributions, intervals, and type-2 fuzzy sets, but a...
Article
This paper presents a simulation-based random effects model for analyzing the interaction effects of random factors on the gaseous transport of volatile organic compounds (VOCs) in the unsaturated zone. The model has the advantages of addressing parameter uncertainty characterized by inherent randomness in simulating the gaseous transport of VOCs i...
Article
This paper presents an interactive fuzzy boundary interval programming (IFBIP) approach for addressing dual uncertainties that exist in the objective function and the left- and right-hand sides of constraints. IFBIP permits an interactive participation of the decision maker (DM) in all steps of the decision process through expressing his/her prefer...
Article
Mixed micellization, interface and enhanced solubilization aspects of a series of single cationic Gemini surfactants (alkanediyl-α,ω-bis (dodecyldimethylammonium bromide) as well as their equimolar bi and ternary combinations have been investigated. Several theoretical treatments have been employed to evaluate and compare the mutual interaction par...
Article
This study proposes a sequential factorial analysis (SFA) approach for supporting regional air quality management under uncertainty. SFA is capable not only of examining the interactive effects of input parameters, but also of analyzing the effects of constraints. When there are too many factors involved in practical applications, SFA has the advan...
Article
Unlabelled: In this study, a coupled factorial-analysis-based interval programming (CFA-IP) approach is developed through incorporating factorial analysis within an interval-parameter linear programming framework. CFA-IP can tackle uncertainties presented as intervals that exist in the objective function and the left- and right-hand sides of const...
Article
Flood disasters have been extremely severe in recent decades, and they account for about one third of all natural catastrophes throughout the world. In this study, a two-stage mixed-integer fuzzy programming with interval-valued membership functions (TMFP-IMF) approach is developed for flood-diversion planning under uncertainty. TMFP-IMF integrates...