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Gal Perelman, Avi Ostfeld and Barak Fishbain
The operation of water distribution systems (WDS) is an energy-intensive process, which is subject to constraints such as consumer demands, water quality, and pressure domains. As such, tracing an operation policy in which constraints are met while energ...
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Fotios Petropoulos and Evangelos Spiliotis
Forecasting is a challenging task that typically requires making assumptions about the observed data but also the future conditions. Inevitably, any forecasting process will result in some degree of inaccuracy. The forecasting performance will further de...
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Renato Rocha Souza, Amelie Dorn, Barbara Piringer and Eveline Wandl-Vogt
Different types of uncertainties occur in almost all datasets and are an inherent property of data across different academic disciplines, including digital humanities (DH). In this paper, we address, demonstrate and analyse spatio-temporal uncertainties ...
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Jong Seok Lee, Min Hyeok Lee, Yoon-Young Chun and Kun Mo Lee
The purpose of this paper is to compare the degree of uncertainty of the water scarcity footprint using the Monte Carlo statistical method and block bootstrap method. Using the hydrological data of a water drainage basin in Korea, characterization factor...
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Jong Seok Lee, Min Hyeok Lee, Yoon-Young Chun and Kun Mo Lee
The purpose of this paper is to compare the degree of uncertainty of the water scarcity footprint using the Monte Carlo statistical method and block bootstrap method. Using the hydrological data of a water drainage basin in Korea, characterization factor...
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Francesca Cecinati, Arie C. de Niet, Kasia Sawicka, Miguel A. Rico-Ramirez
Pág. 1 - 25
The optimal temporal resolution for rainfall applications in urban hydrological models depends on different factors. Accumulations are often used to reduce uncertainty, while a sufficiently fine resolution is needed to capture the variability of the urba...
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Francesca Cecinati, Arie C. De Niet, Kasia Sawicka and Miguel A. Rico-Ramirez
The optimal temporal resolution for rainfall applications in urban hydrological models depends on different factors. Accumulations are often used to reduce uncertainty, while a sufficiently fine resolution is needed to capture the variability of the urba...
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Xiao Liu, Xu Lai and Jin Zou
In this paper, a missing wind speed data temporal interpolation and extrapolation method in the wind energy industry was investigated. Given that traditional methods have previously ignored part of mixed uncertainty of wind speed, a concrete granular com...
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Gopal Chandra Saha, Jianbing Li and Ronald W. Thring
This study presents the understanding of temporal dynamics of groundwater-surface water (GW-SW) interaction due to parameter uncertainty by using a physically-based and distributed gridded surface subsurface hydrologic analysis (GSSHA) model combined wit...
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Gopal Chandra Saha, Jianbing Li and Ronald W. Thring
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Yuanfang Chen, Jiannan Cai and Min Deng
The discovery of spatio-temporal co-occurrence patterns (STCPs) among multiple types of crimes whose events frequently co-occur in neighboring space and time is crucial to the joint prevention of crimes. However, the crime event occurrence time is often ...
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Baodong Xu, Taejin Park, Kai Yan, Chi Chen, Yelu Zeng, Wanjuan Song, Gaofei Yin, Jing Li, Qinhuo Liu, Yuri Knyazikhin and Ranga B. Myneni
The operational Moderate Resolution Imaging Spectroradiometer (MODIS) Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR) algorithm has been successfully implemented for Visible Infrared Imager Radiomet...
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Alonso Pizarro and Enrico Tubaldi
Local scour is a dynamic process evolving during the lifetime of bridges as a result of the changes in hydrologic and hydraulic conditions. Current approaches for scour risk assessment are generally based on the evaluation of the equilibrium scour depth ...
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Marek Slusarski and Magdalena Jurkiewicz
The Database of Topographic Objects (DTO) is the official database of Poland for collecting and providing spatial data with the detail level of a topographic map. Polish national DTOs manage information about the spatial location and attribute values of ...
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Muriithi K. Faith
Predicting the future climate and its impacts on the global environment is model based, presenting a level of uncertainty. Alternative robust approaches of analyzing high volume climate data to reveal underlying regional and local trends are increasingly...
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Chien-Lin Huang, Nien-Sheng Hsu and Chih-Chiang Wei
This study applies Real-Time Recurrent Learning Neural Network (RTRLNN) and Adaptive Network-based Fuzzy Inference System (ANFIS) with novel heuristic techniques to develop an advanced prediction model of accumulated total inflow of a reservoir in order ...
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Shaojun Liu, Yi Long, Ling Zhang and Hao Liu
Data-driven urban human activity mining has become a hot topic of urban dynamic modeling and analysis. Semantic activity chain modeling with activity purpose provides scientific methodological support for the analysis and decision-making of human behavio...
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Carlos Carrion and David Levinson
The underlying structure of road networks (e.g., circuity, relative discontinuity) contributes to the travel time perception of travelers. This study considers additional factors (e.g., arrival flexibility, access to traffic information) and tests nonlin...
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Christian Kloeckner, Stefanie Mueller
Pág. Finance an - 14
This special issue explores how finance deploys time, structures the future, and interacts with actors and institutions that sometimes function according to very different temporal regimes. Finance capitalism?s logic of recurrence, repetitive cycles, and...
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Joana Carneiro, Dália Loureiro, Marta Cabral and Dídia Covas
This paper presents and demonstrates a novel scenario-building methodology that integrates contextual and future time uncertainty into the performance assessment of water distribution networks (WDNs). A three-step approach is proposed: (i) System context...
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