Article
Engineering, Civil
Velpuri Manikanta, Titas Ganguly, N. V. Umamahesh
Summary: This study addresses the issue of limited availability of sub-daily precipitation data by introducing a novel selection methodology called 'Pattern Mapping' (PM) within the existing Method of Fragments (MOF) framework. PM improves the accuracy of the selection process by introducing multiple statistics based criteria. The performance of PM-MOF is compared with three widely used disaggregation methods, showing that PM-MOF has lower percentage error and higher skill score, making it a potent candidate for wider application in hydrological and climate studies.
JOURNAL OF HYDROLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Ava Rafatnejad, Hamed Tavakolifar, Sara Nazif
Summary: The study found that considering weather variables and sub-daily characteristics can improve disaggregation results, especially in estimating extreme events. These approaches seem to be much better than the basic disaggregation model.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Engineering, Civil
Gerardo Castellanos-Osorio, Adrian Lopez-Ballesteros, Julio Perez-Sanchez, Javier Senent-Aparicio
Summary: The Water Framework Directive requires EU countries to ensure the ecological integrity of freshwater ecosystems. Generating daily flow data in highly water-regulated countries like Spain is challenging, but hydrological models can be used. This study evaluated different approaches for obtaining daily flows to estimate environmental flows in two river basins in Spain. The results showed that one approach outperformed the others in terms of statistical performance and accurately characterizing the natural regime and basic flow values.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Environmental
Ben Madden, Nick Florin, Steve Mohr, Damien Giurco
Summary: With recent policies promoting circular economy and waste minimisation, there is a significant opportunity to change waste management in Australia. This study developed a novel spatial model to estimate household waste generation data at the property lot level in Sydney, achieving accurate results and practical applications for waste processing facilities and urban waste management strategies.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Thermodynamics
Binxuan Sun, Stelios Rigopoulos
Summary: This paper presents a comprehensive approach for modelling soot formation in turbulent flows by incorporating a recently developed conservative finite volume sectional method into the Large Eddy Simulation - Probability Density Function framework. The approach predicts particle size distribution of soot and considers aerosol dynamic processes, turbulence-chemistry interaction, and soot evolution. While the method can reasonably predict certain features of soot formation, there is underprediction in the magnitude of soot volume fraction.
COMBUSTION AND FLAME
(2022)
Article
Environmental Sciences
Jeongwoo Lee, Jeong Eun Lee, Nam Won Kim
Summary: This study proposes an approach combining an artificial neural network (ANN) model for peak flow estimation and the steepness index unit volume flood hydrograph (SIUVFH) method for sub-daily flow disaggregation to generate hydrographs on an hourly time scale. The ANN models were constructed for estimating peak flows, and the performance was evaluated with statistical measurements. The combined use of ANN-based peak estimation and SIUVFH-based flow disaggregation successfully matched the observed flood hydrograph on an hourly scale.
Article
Mathematics, Applied
Cedric Chauviere, Hacene Djellout
Summary: This study proposes a new method for numerical approximation of SDEs driven by white noise, utilizing Lagrange polynomials and solving a system of deterministic ODEs to compute coefficients of the polynomial basis. The approach demonstrates fast convergence, in addition to its novelty, and shows spectral convergence in numerical examples.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2021)
Article
Environmental Sciences
Jeonghoon Lee, Ungtae Kim, Sangdan Kim, Jungho Kim
Summary: In this study, a temporal disaggregation method for rainfall data was developed based on a stochastic rainfall model. The results suggest that extreme rainfall events may increase, thus calling for urgent measures to be taken.
Article
Engineering, Multidisciplinary
Anand S. Bharadwaj, Joerg Kuhnert, Stephane P. A. Bordas, Pratik Suchde
Summary: In this paper, a discrete droplet method (DDM) model is proposed to simulate the formation, evolution, and break-up of a thin film of fluid flowing over a curved surface. The model tracks individual moving fluid droplets to capture the evolution of thin fluid films. The DDM is thoroughly validated and shows effectiveness in simulating flows with thin films.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
Energy & Fuels
Pengshun Li, Yuhang Zhang, Yi Zhang, Kai Zhang
Summary: A novel two-step EBEC prediction methodology, incorporating a stochastic RF model and kNN RF model, is proposed to improve the prediction accuracy of electric bus energy consumption. The models show great performance in real-world data collected from over 163,800 journeys in Shenzhen, China, with the stochastic RF model achieving a significant increase in prediction accuracy and the kNN RF model reducing computation time while maintaining accuracy.
Article
Environmental Sciences
Matteo Pampaloni, Alvaro Sordo-Ward, Paola Bianucci, Ivan Gabriel-Martin, Enrica Caporali, Luis Garrote
Summary: This study aimed to analyze the ability of synthetic rainfall generation to improve SuDS design parameters by examining the main characteristics of observed rainfall and estimating hydrologic parameters. The results showed that the proposed methodology enhances the estimation of key characteristics of rainfall events and hydrologic parameters for SuDS design compared to values directly deduced from observed rainfall series.
Article
Water Resources
Fahad Alzahrani, Ousmane Seidou, Abdullah Alodah
Summary: This paper proposes a simple steady-state stochastic disaggregation model that generates wet/dry day occurrence using a binomial distribution and precipitation intensity using an exponential distribution. Comparing with other temporal disaggregation methods, the proposed method performed well when resampling the observed extreme precipitation.
JOURNAL OF WATER AND CLIMATE CHANGE
(2023)
Article
Engineering, Civil
Xiaoxiang Guan, Katrin Nissen, Viet Dung Nguyen, Bruno Merz, Benjamin Winter, Sergiy Vorogushyn
Summary: A multisite fragments-based rainfall disaggregation procedure conditioned on circulation pattern classification was developed and applied to the German part of the Rhine river basin. The performance of the CP-based disaggregation in representing key rainfall characteristics was evaluated and the influence of different number of CP classes was investigated. The developed procedure opens up the possibility to consider dynamic changes in the atmosphere associated with climate change.
JOURNAL OF HYDROLOGY
(2023)
Article
Mechanics
Zuoxu Li, Xiaowen Shan
Summary: A systematic approach of incorporating body force in the LBM for thermal compressible and non-equilibrium flows is proposed in this study. It is shown that the absence of the third-moment contribution of the force term leads to an erroneous heat flux quadratic in Mach number and linear in temperature variation. The theoretical findings are verified and the necessity of the third-moment contribution is demonstrated by numerical simulations.
JOURNAL OF FLUID MECHANICS
(2023)
Article
Engineering, Civil
L. S. Shilpa, K. Srinivasan
Summary: A novel hybrid MCTMC-based model is proposed for synthetic generation of daily streamflow sequences, which can effectively capture the asymmetry and seasonality characteristics of the flow. The model preserves the historical dependence and non-homogeneity of the daily streamflows and accurately reproduces the summary statistics and distributional characteristics of the observed data.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Civil
Luis Angel Espinosa, Maria Manuela Portela
WATER RESOURCES MANAGEMENT
(2020)
Article
Environmental Sciences
Isabel Boavida, Filipa Ambrosio, Maria Joao Costa, Ana Quaresma, Maria Manuela Portela, Antonio Pinheiro, Francisco Godinho
Article
Environmental Sciences
Luis Angel Espinosa, Maria Manuela Portela, Rui Rodrigues
Article
Meteorology & Atmospheric Sciences
Luis Angel Espinosa, Maria Manuela Portela, Rui Rodrigues
Summary: This study analyzed changes in rainfall amounts on Madeira Island in the North Atlantic Ocean, revealing a widespread downward trend in seasonal and annual rainfall, particularly in the central region of the island. Furthermore, a strong association between the downward rainfall trends and the upward trends of the North Atlantic Oscillation Index was found. This research provides new insights into rainfall patterns in small island environments in the North Atlantic.
THEORETICAL AND APPLIED CLIMATOLOGY
(2021)
Article
Engineering, Civil
Victor Costa Porto, Francisco de Assis de Souza Filho, Tais Maria Nunes Carvalho, Ticiana Marinho de Carvalho Studart, Maria Manuela Portela
Summary: The research introduces a multisite annual streamflow generation model that combines GLM and copulas, showing superior performance in preserving historical features and simulating drought events compared to benchmark models. It offers advantages such as not requiring data normalization, modeling different dependence structures, and representing non-conventional autocorrelation functions.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Isabel Boavida, Maria Joao Costa, Maria Manuela Portela, Francisco Godinho, Jeffrey Tuhtan, Antonio Pinheiro
Summary: Hydropeaking caused by small-scale hydropower plants can cause stress in fish and negatively impact fish communities. However, fish refuges have been found to successfully mitigate the effects of hydropeaking, although their use may depend on the flow regime.
RIVER RESEARCH AND APPLICATIONS
(2023)
Article
Water Resources
Tiago N. Martins, Manuel M. Oliveira, Maria M. Portela, Teresa E. Leitao
Summary: The study applied the BALSEQ water budget model in twenty-two watersheds in southern Portugal to analyze the relationship between model parameters and watershed characteristics, and conducted sensitivity analysis by comparing with measured surface flow. The results confirmed the importance of groundwater discharge for total measured surface flow and emphasized the f parameter in calculating direct runoff.
ACQUE SOTTERRANEE-ITALIAN JOURNAL OF GROUNDWATER
(2021)
Article
Multidisciplinary Sciences
Francisco Pellicer-Martinez, Francisco Gomariz-Castillo, Maria Manuela Portela, Isabel Maria Martinez-Alcala, Jose Miguel Martinez-Paz
Summary: In this study, a method is proposed to detect internal balance errors in hydrological models by accounting for water balance during simulation and adjusting goodness of fit values based on this error. It was found that in some cases, the model tends to accumulate or release water incorrectly in certain catchments, potentially due to errors in groundwater flows. The introduction of a penalty function into a multi-criteria objective function helped correct most balance errors, but some remained unresolved, pointing to groundwater flow-related issues.
Article
Environmental Sciences
Luis Angel Espinosa, Maria Manuela Portela
Summary: This paper examines the long-term rainfall trends in mainland Portugal and their association with the North Atlantic Oscillation (NAO). The results show a strong negative correlation between rainfall changes and NAO indices, indicating that the decrease in rainfall in Portugal is linked to the NAO's upward trend. Additionally, the study explores regional droughts in Portugal and suggests that the frequency of severe droughts may increase in the future, particularly during the winter season and annual NAO indices.
Article
Environmental Sciences
Luis Angel Espinosa, Maria Manuela Portela, Jose Pedro Matos, Salem Gharbia
Summary: This paper summarises an updated climate change trends analysis for the Lisbon Metropolitan Area, Portugal, conducted within the scope of a Horizon 2020-funded project. The analysis reveals increasing temperatures, more frequent and intense rainfall events, and worsening drought conditions in the region.
Article
Environmental Sciences
Luis Angel Espinosa, Maria Manuela Portela, Laryssa Mariana Moreira Freitas, Salem Gharbia
Summary: This study presents a comprehensive analysis of heatwaves in mainland Portugal and finds an increasing trend in the number of heatwave days, with the capital city Lisbon recording the highest number of heatwave days.
Article
Meteorology & Atmospheric Sciences
Luis Angel Espinosa, Maria Manuela Portela, Joao Dehon Pontes Filho, Martina Zelenakova
Summary: This study explores the practical applications of bivariate modeling via copulas for analyzing the dependence between the North Atlantic Oscillation (NAO) and extreme rainfall on Madeira, Portugal. The results suggest that bivariate copulas can provide useful insights into the return periods of NAO and extreme rainfall events, and recent years show increasing climate variability with more anomalous negative NAO index and higher extreme rainfall events.
Article
Geography
Victor Ruiz Alvarez, Maria Manuela Portela, Luis Angel Espinosa, Ramon Garcia Marin, Francisco Belmonte Serrato, Marcos Ruiz Alvarez
Summary: This study conducted an exhaustive analysis of droughts in southeastern Spain based on 92 monthly rainfall series from the AEMET database. By regionalizing temporal patterns of drought using SPI with a 12-month scale and PCA, four homogeneous regions were identified, showing an increase in both drought frequency and affected area in nearly all regions.
BOLETIN DE LA ASOCIACION DE GEOGRAFOS ESPANOLES
(2021)
Article
Meteorology & Atmospheric Sciences
Maria Manuela Portela, Luis Angel Espinosa, Martina Zelenakova
Article
Water Resources
Luis Angel Espinosa, Maria Manuela Portela, Rui Rodrigues
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2019)