AIMC Topic: Conservation of Water Resources

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Uncovering water conservation patterns in semi-arid regions through hydrological simulation and deep learning.

PloS one Mar 20, 2025
Under the increasing pressure of global climate change, water conservation (WC) in semi-arid regions is experiencing unprecedented levels of stress. WC involves complex, nonlinear interactions among ecosystem components like vegetation, soil structur...
Computer Simulation Desert Climate Ecosystem Spatio-Temporal Analysis Deep Learning Climate Change Droughts Hydrology Conservation of Water Resources
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Transforming residential water end use analysis: unleashing insights from widespread low-resolution smart metering data.

Water research Feb 20, 2025
Transforming smart meter data captured at low-resolution litre intervals of 15 to 60 mins into residential water end use data provides valuable insights for water businesses and their customers. Water end use data is crucial for developing effective ...
Neural Networks, Computer Cities Models, Theoretical Australia Water Supply Conservation of Water Resources
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Designing energy-efficient buildings in urban centers through machine learning and enhanced clean water managements.

Environmental research Jul 5, 2024
Rainwater Harvesting (RWH) is increasingly recognized as a vital sustainable practice in urban environments, aimed at enhancing water conservation and reducing energy consumption. This study introduces an innovative integration of nano-composite mate...
Machine Learning Water Purification Cities Support Vector Machine Metal Nanoparticles Silver Rain Conservation of Water Resources
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Combining Deep Learning and Hydrological Analysis for Identifying Check Dam Systems from Remote Sensing Images and DEMs in the Yellow River Basin.

International journal of environmental research and public health Mar 6, 2023
Identifying and extracting check dams is of great significance for soil and water conservation, agricultural management, and ecological assessment. In the Yellow River Basin, the check dam, as a system, generally comprises dam locations and dam-contr...
Soil Deep Learning Remote Sensing Technology Rivers Conservation of Water Resources
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Drought index prediction using advanced fuzzy logic model: Regional case study over Kumaon in India.

PloS one May 21, 2020
A new version of the fuzzy logic model, called the co-active neuro fuzzy inference system (CANFIS), is introduced for predicting standardized precipitation index (SPI). Multiple scales of drought information at six meteorological stations located in ...
Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms India Models, Theoretical Environmental Monitoring Fuzzy Logic Linear Models Multivariate Analysis Droughts Water Resources Meteorological Concepts Conservation of Water Resources
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