|
|
|
|
|
Jiayue Gu, Shuguang Liu, Zhengzheng Zhou, Sergey R. Chalov and Qi Zhuang
The prediction of monthly rainfall is greatly beneficial for water resources management and flood control projects. Machine learning (ML) techniques, as an increasingly popular approach, have been applied in diverse climatic regions, showing their respec...
ver más
|
|
|
|
|
|
|
|
|
Hernán D. Salas, Juliana Valencia, Alejandro Builes-Jaramillo and Alejandro Jaramillo
The synoptic mode of variability (SMV) refers to changes in atmospheric conditions over periods ranging from 2 to 10 days. In tropical regions, this variability is driven by tropical waves that have a clear signal on the wavenumber?frequency power spectr...
ver más
|
|
|
|
|
|
|
|
|
Meng Zhang, Huaqiang Du, Fangjie Mao, Guomo Zhou, Xuejian Li, Luofan Dong, Junlong Zheng, Di?en Zhu, Hua Liu, Zihao Huang and Shaobai He
Analysis of urban land use dynamics is essential for assessing ecosystem functionalities and climate change impacts. The focus of this study is on monitoring the characteristics of urban expansion in Hang-Jia-Hu and evaluating its influences on forests b...
ver más
|
|
|
|
|
|
|
|
|
Aldo Greco, Davide Luciano De Luca and Elenio Avolio
An in-depth analysis of historical heavy rainfall fields clearly constitutes an important aspect in many related topics: as examples, mesoscale models for early warning systems and the definition of design event scenarios can be improved, with the conseq...
ver más
|
|
|
|
|
|
|
|
|
Changkyu Kim, Do-Eun Choe, Pedro Castro-Borges and Homero Castaneda
Corrosion of the reinforced concrete (RC) structures has been affecting the major infrastructures in U.S. and in other continents, causing the recent several bridge collapses and incidents. While the theoretical understanding is well-established, the rel...
ver más
|
|
|
|