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Qing-Gang Gao, Vonevilay Sombutmounvong, Lihua Xiong, Joo-Heon Lee and Jong-Suk Kim
In this study, we investigated extreme droughts in the Indochina peninsula and their relationship with the Indian Ocean Dipole (IOD) mode. Areas most vulnerable to drought were analyzed via statistical simulations of the IOD based on historical observati...
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Mohammad Reza Goodarzi, Mahnaz Heydaripour, Vahid Jamali, Maryam Sabaghzadeh and Majid Niazkar
Climate change affects hydroclimatic variables, and assessing the uncertainty in future predictions is crucial. This study aims to explore variations in temperature and precipitation in the Kerman Plain under climate change impacts between 2023 and 2054....
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Han Lin Shang
A key summary statistic in a stationary functional time series is the long-run covariance function that measures serial dependence. It can be consistently estimated via a kernel sandwich estimator, which is the core of dynamic functional principal compon...
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Jeonghoon Han, Han-Jun Kim, Kyun-Woo Lee and Young-Ung Choi
In this study, we document the first recorded range extension of the genus Synaphobranchus from the East Mariana Basin in the Western Pacific Ocean. We sequenced the complete mitochondrial (mt) genome of two deep-sea eels (Synaphobranchus brevidorsalis a...
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Made Narayana Adibhusana, Jong-In Lee, Young-Taek Kim and Yonguk Ryu
Overtopping flow velocity (OFV) and overtopping layer thickness (OTL) are essential parameters in breakwater design. Several empirical equations to predict these parameters are available in many works of literature, but most of the equations were derived...
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Ajla Mulaomerovic-?eta, Borislava Blagojevic, Vladislava Mihailovic and Andrea Petroselli
Flood quantile estimation in ungauged basins is often performed using regional analysis. A regionalization procedure consists of two phases: the definition of homogeneous regions among gauged basins, i.e., clusters of stations, and information transfer t...
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Rokaya Eltehewy, Ahmed Abouelfarag and Sherine Nagy Saleh
Rapid damage identification and classification in disastrous situations and natural disasters are crucial for efficiently directing aid and resources. With the development of deep learning techniques and the availability of imagery content on social medi...
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Hanbeen Kim, Taereem Kim, Ju-Young Shin and Jun-Haeng Heo
Extreme value modeling for extreme rainfall is one of the most important processes in the field of hydrology. For the improvement of extreme value modeling and its physical meaning, large-scale climate modes have been widely used as covariates of distrib...
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Nawal Abdalla Adam
The change management process in government institutions includes many challenges that require identifying the factors that may facilitate such a process. This study aims to examine the mediating impact of knowledge sharing (KS) on the relationship betwe...
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Leigh A. Provost, Robert Weaver and Nezamoddin N. Kachouie
The changing climate affects the agricultural lands, and, in turn, the changes in agricultural lands alter the watershed. A major concern regarding waterbodies is the increased sedimentation rates due to climate change. To improve the water quality, it i...
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