AIMC Topic: Climate Change

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A comprehensive review of deep learning applications in hydrology and water resources.

Water science and technology : a journal of the International Association on Water Pollution Research
The global volume of digital data is expected to reach 175 zettabytes by 2025. The volume, variety and velocity of water-related data are increasing due to large-scale sensor networks and increased attention to topics such as disaster response, water...

Averting robo-bees: why free-flying robotic bees are a bad idea.

Emerging topics in life sciences
Food security and the sustainability of native ecosystems depends on plant-insect interactions in countless ways. Recently reported rapid and immense declines in insect numbers due to climate change, the use of pesticides and herbicides, the introduc...

Parsing human and biophysical drivers of coral reef regimes.

Proceedings. Biological sciences
Coral reefs worldwide face unprecedented cumulative anthropogenic effects of interacting local human pressures, global climate change and distal social processes. Reefs are also bound by the natural biophysical environment within which they exist. In...

Resilience actions to counteract the effects of climate change and health emergencies in cities: the role of artificial neural networks.

Annali dell'Istituto superiore di sanita
Both the World Health Organization (WHO) with its 2015 "Climate and Health Country Profile Project" and the Istituto Superiore di Sanità (ISS) with its 2018 "Health and Climate Change", agree on the emergency generated by the climate change and conce...

Flood forecasting within urban drainage systems using NARX neural network.

Water science and technology : a journal of the International Association on Water Pollution Research
Urbanization activity and climate change increase the runoff volumes, and consequently the surcharge of the urban drainage systems (UDS). In addition, age and structural failures of these utilities limit their capacities, and thus generate hydraulic ...

Predictions of Diffuse Pollution by the HSPF Model and the Back-Propagation Neural Network Model.

Water environment research : a research publication of the Water Environment Federation
  Watershed models are important tools for predicting the possible change of watershed responses. Environmental models comprise the deterministic model and the probabilistic model. This study discusses the Hydrological Simulation Program Fortran (HSP...