Climate Change Impact on Virtual Water Availability: A Categorized Polynomial Neural Network Approach

2021 ◽  
pp. 109-125
Author(s):  
Mrinmoy Majumder ◽  
Apu K. Saha ◽  
Prachi D. Khobragade ◽  
Deepjyoti Deb ◽  
Khakachang Tripura
Keyword(s):  
Neural Network ◽  
Climate Change ◽  
Water Availability ◽  
Climate Change Impact ◽  
Virtual Water ◽  
Network Approach ◽  
Neural Network Approach ◽  
Polynomial Neural Network ◽  
Change Impact

An accurate full-dimensional potential energy surface for the reaction OH + SO → H + SO2

2021 ◽  
Vol 23 (1) ◽  
pp. 487-497
Author(s):  
Jie Qin ◽  
Jun Li
Keyword(s):  
Neural Network ◽  
Potential Energy ◽  
Potential Energy Surface ◽  
Energy Surface ◽  
Invariant Polynomial ◽  
Network Approach ◽  
Neural Network Approach ◽  
Polynomial Neural Network

An accurate full-dimensional PES for the OH + SO ↔ H + SO2 reaction is developed by the permutation invariant polynomial-neural network approach.

scholarly journals Contrasting climate change impact on river flows from high-altitude catchments in the Himalayan and Andes Mountains

2016 ◽  
Vol 113 (33) ◽  
pp. 9222-9227 ◽  
Author(s):  
Silvan Ragettli ◽  
Walter W. Immerzeel ◽  
Francesca Pellicciotti
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
High Altitude ◽  
Water Availability ◽  
Climate Change Impact ◽  
River Flow ◽  
Climate Change Scenarios ◽  
Glacier Area ◽  
Spatiotemporal Resolution ◽  
Change Impact

Mountain ranges are the world’s natural water towers and provide water resources for millions of people. However, their hydrological balance and possible future changes in river flow remain poorly understood because of high meteorological variability, physical inaccessibility, and the complex interplay between climate, cryosphere, and hydrological processes. Here, we use a state-of-the art glacio-hydrological model informed by data from high-altitude observations and the latest climate change scenarios to quantify the climate change impact on water resources of two contrasting catchments vulnerable to changes in the cryosphere. The two study catchments are located in the Central Andes of Chile and in the Nepalese Himalaya in close vicinity of densely populated areas. Although both sites reveal a strong decrease in glacier area, they show a remarkably different hydrological response to projected climate change. In the Juncal catchment in Chile, runoff is likely to sharply decrease in the future and the runoff seasonality is sensitive to projected climatic changes. In the Langtang catchment in Nepal, future water availability is on the rise for decades to come with limited shifts between seasons. Owing to the high spatiotemporal resolution of the simulations and process complexity included in the modeling, the response times and the mechanisms underlying the variations in glacier area and river flow can be well constrained. The projections indicate that climate change adaptation in Central Chile should focus on dealing with a reduction in water availability, whereas in Nepal preparedness for flood extremes should be the policy priority.

scholarly journals Author Correction: Climate change impact on flood and extreme precipitation increases with water availability

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Hossein Tabari
Keyword(s):  
Climate Change ◽  
Water Availability ◽  
Extreme Precipitation ◽  
Climate Change Impact ◽  
Change Impact

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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