|
|
|
Md. Khairul Hasan, Mohamed Rasmy, Toshio Koike and Katsunori Tamakawa
The Sangu River basin significantly contributes to national economy significantly; however, exposures to water-related hazards are frequent. As it is expected that water-related disasters will increase manifold in the future due to global warming, the Go...
ver más
|
|
|
|
|
|
Mohammed Ali Badjadi, Hanhua Zhu, Cunquan Zhang and Muhammad Safdar
The escalating production of shale gas and oil, witnessed prominently in developed nations over the past decade, has sparked interest in prospective development, even in developing countries like Algeria. However, this growth is accompanied by significan...
ver más
|
|
|
|
|
|
Runjuan Zhou, Kuo Zhang and Ming Zhang
A back-propagation neural network (BPNN) was used to model and optimize the process of hydroxylamine (HA)-enhanced Fe2+ activating peroxymonosulfate (PMS). Using HA-enhanced Fe2+ to activate PMS is a cost-effective method to degrade orange II (AO7). We i...
ver más
|
|
|
|
|
|
Zhongyou Yu, Rongwen Yao, Xun Huang and Yuting Yan
Intense anthropogenic activities pose a serious threat to groundwater quality in urban areas. Assessing pollution levels and the health risks of trace elements within urban groundwater is crucial for protecting the groundwater environment. In this study,...
ver más
|
|
|
|
|
|
Alessandro La Ferlita, Yan Qi, Emanuel Di Nardo, Karoline Moenster, Thomas E. Schellin, Ould EL Moctar, Christoph Rasewsky and Angelo Ciaramella
The authors proposed a direct comparison between white- and black-box models to predict the engine brake power of a 15,000 TEU (twenty-foot equivalent unit) containership. A Simplified Naval Architecture Method (SNAM), based on limited operational data, ...
ver más
|
|
|