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Carlos Alfonso Zafra-Mejía, Hugo Alexander Rondón-Quintana and Carlos Felipe Urazán-Bonells
The objective of this paper is to use autoregressive, integrated, and moving average (ARIMA) and transfer function ARIMA (TFARIMA) models to analyze the behavior of the main water quality parameters in the initial components of a drinking water supply sy...
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Jie Lian, Pingping Dong, Yuping Zhang and Jianguo Pan
Under global climate change, the frequency of typhoons and their strong wind, heavy rain, and storm surge increase, seriously threatening the life and property of human society. However, traditional tropical cyclone track prediction methods have difficul...
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Petr ?tepánek, Miroslav Trnka, Filip Chuchma, Pavel Zahradnícek, Petr Skalák, Ale? Farda, Rostislav Fiala, Petr Hlavinka, Jan Balek, Daniela Semerádová and Martin Mo?ný
In recent years, two drought monitoring systems have been developed in the Czech Republic based on the SoilClim and AVISO soil moisture models. The former is run by Mendel University and Global Change Research Institute (CAS), while the latter, by the Cz...
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Yali Wang, Ronghua Liu, Liang Guo, Jiyang Tian, Xiaolei Zhang, Liuqian Ding, Chuanhai Wang and Yizi Shang
Flash floods occur in mountainous catchments with short response times, which are among the most devastating natural hazards in China. This paper intends to forecast and provide warnings of flash floods timely and precisely using the flash flood warning ...
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Yali Wang, Ronghua Liu, Liang Guo, Jiyang Tian, Xiaolei Zhang, Liuqian Ding, Chuanhai Wang, Yizi Shang
Pág. 1 - 20
Flash floods occur in mountainous catchments with short response times, which are among the most devastating natural hazards in China. This paper intends to forecast and provide warnings of flash floods timely and precisely using the flash flood warning ...
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Zhangping Wei and Hai Cong Nguyen
This study presents an encoder?decoder neural network model to forecast storm surges on the US North Atlantic Coast. The proposed multivariate time-series forecast model consists of two long short-term memory (LSTM) models. The first LSTM model encodes t...
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Shiu-Shin Lin, Jheng-Hua Song, Kai-Yang Zhu, Yi-Chuan Liu and Hsien-Cheng Chang
Typhoon intensity forecast is an important issue. The objective of this study is to construct a 5-day 12-hourly typhoon intensity forecast model based on the adaptive neuro-fuzzy inference systems (ANFIS) to improve the typhoon intensity forecast in the ...
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Dongguo Shao, Xizhi Nong, Xuezhi Tan, Shu Chen, Baoli Xu and Nengjie Hu
Water quality forecast is a critical part of water security management. Spatiotemporal and multifactorial variations make water quality very complex and changeable. In this article, a novel model, which was based on back propagation neural network that w...
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Yuxiu Liu, Xing Yuan, Yang Jiao, Peng Ji, Chaoqun Li and Xindai An
Integrating numerical weather forecasts that provide ensemble precipitation forecasts, land surface hydrological modeling that resolves surface and subsurface hydrological processes, and artificial intelligence techniques that correct the forecast bias, ...
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Benjamin Burrichter, Juliana Koltermann da Silva, Andre Niemann and Markus Quirmbach
This study employs a temporal fusion transformer (TFT) for predicting overflow from sewer manholes during heavy rainfall events. The TFT utilised is capable of forecasting overflow hydrographs at the manhole level and was tested on a sewer network with 9...
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Enrique González-Núñez, Luis A. Trejo and Michael Kampouridis
This research aims at applying the Artificial Organic Network (AON), a nature-inspired, supervised, metaheuristic machine learning framework, to develop a new algorithm based on this machine learning class. The focus of the new algorithm is to model and ...
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Jhon Edinson Hinestroza-Ramirez, Juan Ernesto Soto Barbosa, Andrés Yarce Botero, Danilo Andrés Suárez Higuita, Santiago Lopez-Restrepo, Lisseth Milena Cruz Ruiz, Valeria Sólorzano Araque, Andres Céspedes, Sara Lorduy Hernandez, Richard Caceres, Giovanni Jiménez-Sánchez and Olga Lucia Quintero
This manuscript introduces an exploratory case study of the SIMFAC?s (Sistema de Información Meteorológica de la Fuerza Aérea Colombiana) operational implementation of the Weather Research and Forecasting (WRF) model with a 3DVAR (three-dimensional varia...
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Luka Crnogorac, Suzana Lutovac, Rade Tokalic, Milo? Gligoric and Zoran Gligoric
Relatively large deformations of the steel arch support in underground coal mines in the Republic of Serbia present one of the main problems for achieving the planned production of coal. Monitoring of the critical sections of the steel arch support in th...
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Aleksandra ?ivkovic
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Eva Romano-Moreno, Antonio Tomás, Gabriel Diaz-Hernandez, Javier L. Lara, Rafael Molina and Javier García-Valdecasas
The good performance of the port activities in terminals is mainly conditioned by the dynamic response of the moored ship system at a berth. An adequate definition of the highly multivariate processes involved in the response of a moored ship at a berth ...
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Junhao Wu, Yuan Hu, Daqing Wu and Zhengyong Yang
Changes in the consumption price of aquatic products will affect demand and fishermen?s income. The accurate prediction of consumer price index provides important information regarding the aquatic product market. Based on the non-linear and non-smooth ch...
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Min Roh, Hyung-Suk Kim, Pil-Hun Chang and Sang-Myeong Oh
A wave forecast numerical simulation was performed for Typhoon Lingling around the Korean Peninsula and in the East Asia region using sea winds from 24 members produced by the Ensemble Prediction System for Global (EPSG) of Korea Meteorological Administr...
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Pavlos Nikolaidis and Harris Partaourides
The intermittent and uncontrollable power output from the ever-increasing renewable energy sources, require large amounts of operating reserves to retain the system frequency within its nominal range. Based on day-ahead load forecasts, many research work...
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Francisco Carreño-Conde, Ana Elizabeth Sipols, Clara Simón de Blas and David Mostaza-Colado
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Min Roh, Nary La, Sang-Myeong Oh, Kiryong Kang, Youjung Oh and Hyung-Suk Kim
In this study, we constructed a rapid refresh wave forecast model using sea winds from the Korea Local Analysis and Prediction System as input forcing data. The model evaluated the changes in forecast performance considering the influence of input wind?w...
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