89   Artículos

 
en línea
Liqiu Chen, Chongshi Gu, Sen Zheng and Yanbo Wang    
Real and effective monitoring data are crucial in assessing the structural safety of dams. Gross errors, resulting from manual mismeasurement, instrument failure, or other factors, can significantly impact the evaluation process. It is imperative to elim... ver más
Revista: Water    Formato: Electrónico

 
en línea
Rongliang Cheng, Xiaofeng Han and Zhiqiang Wu    
It is of great significance to identify the spatiotemporal stress distribution characteristics to ensure the safety of a super-high arch dam during the initial operation stage. Taking the 285.5 m-high Xiluodu Dam as an example, the spatiotemporal distrib... ver más
Revista: Water    Formato: Electrónico

 
en línea
Yi Ouyang, Tao Feng, Han Feng, Xinghan Wang, Huayu Zhang and Xiaoxue Zhou    
Deformation monitoring plays a pivotal role in assessing dam safety. Interferometric Synthetic Aperture Radar (InSAR) has the advantage of obtaining an extensive range of deformation, regardless of weather conditions. The Datengxia Water Conservancy Hub ... ver más
Revista: Water    Formato: Electrónico

 
en línea
Alexia Balla, Vesna Teofilovic and Tímea Kiss    
The hydro-geomorphological background in microplastic (MP) deposition and mobilization is often neglected, though the sampling environment is the key point in a monitoring scheme. The aim of the study was to analyze the environmental driving factors of M... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
Litan Pan, Bo Wu, Daquan Wang, Xiongxiong Zhou, Lijie Wang and Yi Zhang    
In the numerical simulation of earth-rock dam, accurate and reliable mechanical parameters of the dam material are the important basis for dam deformation predictions and dam safety evaluations. Based on the deformation monitoring data of Luding core wal... ver más
Revista: Water    Formato: Electrónico

 
en línea
Mei-Yan Zhuo, Jinn-Chyi Chen, Ren-Ling Zhang, Yan-Kun Zhan and Wen-Sun Huang    
In this study, a seepage prediction model was established for roller-compacted concrete dams using support vector regression (SVR) with hybrid parameter optimization (HPO). The model includes data processing via HPO and machine learning through SVR. HPO ... ver más
Revista: Water    Formato: Electrónico

 
en línea
Qun Wang, Yufei Gao, Tingting Gong, Tiejun Liu, Zhengwei Sui, Jinghui Fan and Zhenyu Wang    
The Xiaolangdi Dam is a key project for the control and development of the Yellow River. It bears the functions of flood control, controlling water and sediment in the lower reaches, ice prevention, industrial and agricultural water supply, power generat... ver más
Revista: Water    Formato: Electrónico

 
en línea
Yang Chao, Chaoning Lin, Tongchun Li, Huijun Qi, Dongming Li and Siyu Chen    
Aiming to investigate the problem that dam-monitoring data are difficult to analyze in a timely and accurate automated manner, in this paper, we propose an automated framework for dam health monitoring based on data microservices. The framework consists ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Renato Oliveira da Silva Júnior, Helena Pereira Almeida, Marcio Sousa da Silva, Adriano Cuenya França, Eduardo Balleroni, Nailson dos Santos, Paulo Henrique Vilela, Adayana Maria Queiroz de Melo and José Tasso Felix Guimarães    
Monitoring the concentration of potentially toxic elements (PTEs) in the aquatic ecosystems of the Amazon is critical to guarantee the maintenance of the ecological balance and the life quality of human populations that reside in or use these environment... ver más
Revista: Water    Formato: Electrónico

 
en línea
Diamantis Karakatsanis, Thomas Patsialis, Kyriaki Kalaitzidou, Ioannis Kougias, Maria Margarita Ntona, Nicolaos Theodossiou and Nerantzis Kazakis    
The optimization of dam operations to transform them into multi-objective facilities constitutes a challenge for both hydrology, hydrogeology, and hydropower generation. However, the use of the optimal algorithm for such transformation is critically impo... ver más
Revista: Water    Formato: Electrónico

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