A framework based on multivariate distribution-based virtual sample generation and DNN for predicting water quality with small data
Abstract Deep Neural Network (DNN) is a powerful tool for predicting and monitoring water
quality. However, its application is only limited to well-monitored zones where the availability …
quality. However, its application is only limited to well-monitored zones where the availability …
A drought index based on groundwater quantity and quality: Application of multivariate copula analysis
In this paper, a new Groundwater Quantity-Quality-based Drought Index (GQQI) is
developed based on multivariate Copula analysis of groundwater quantity and quality …
developed based on multivariate Copula analysis of groundwater quantity and quality …
Sustainable development substantially reduces the risk of future drought impacts
Drought is a major natural hazard that can cause cascading impacts on socioeconomic
sectors, and its risk is expected to increase under future climate change and socioeconomic …
sectors, and its risk is expected to increase under future climate change and socioeconomic …
Development of a new hybrid ensemble method for accurate characterization of future drought using multiple global climate models
M Yousaf, Z Ali, M Mohsin, M Ilyas… - … Research and Risk …, 2023 - Springer
Drought as a natural disaster, can have devastating effects on various sectors. This study
proposes a new weighting scheme called weighted aggregation (WA) and introduces the …
proposes a new weighting scheme called weighted aggregation (WA) and introduces the …
Deriving operating rules for inter-basin water transfer projects incorporating a scenario reduction strategy
Streamflow uncertainty is one of the main challenges in managing reservoir systems. To
accurately characterize the streamflow uncertainty in a reservoir operation model, numerous …
accurately characterize the streamflow uncertainty in a reservoir operation model, numerous …
Copula function with Variational Bayesian Monte Carlo for unveiling uncertainty impacts on meteorological and agricultural drought propagation
Agricultural drought (AD) is disastrous to natural and socioeconomic systems, and the
propagation of meteorological drought (MD) plays an essential role in the occurrence of AD …
propagation of meteorological drought (MD) plays an essential role in the occurrence of AD …
Development of a random-forest-copula-factorial analysis (RFCFA) method for predicting propagation between meteorological and hydrological drought
H Wang, Y Li, G Huang, Q Zhang, Y Ma… - National Science …, 2024 - nso-journal.org
In the context of global climate warming, the propagation of meteorological drought (MD)
may aggravate the devastating impact of hydrological drought (HD) on water security and …
may aggravate the devastating impact of hydrological drought (HD) on water security and …
[HTML][HTML] A conditional copula model to identify the response of runoff probability to climatic factors
H Han, H Jian, Y Peng, S Yao - Ecological Indicators, 2023 - Elsevier
Understanding the response of runoff to climate drivers is important to ensure rational water
allocation and address the risk of drought. Many models that assess the effect of climate …
allocation and address the risk of drought. Many models that assess the effect of climate …
[HTML][HTML] An approach based on multivariate distribution and Gaussian copulas to predict groundwater quality using DNN models in a data scarce environment
Abstract Machine Learning models have become a fruitful tool in water resources modelling.
However, it requires a significant amount of datasets for training and validation, which poses …
However, it requires a significant amount of datasets for training and validation, which poses …
A Review of Assessment Methods for Water Shortage Risk: Trend Analysis, Method Summary, and Future Research Prospects
T Qian, L Hong, S Gu, J Chen, J Chen, T Tu - Water Conservation Science …, 2025 - Springer
Driven by population growth and economic development, the demand for water resources
continues to increase worldwide, leading to regional and seasonal water scarcity in many …
continues to increase worldwide, leading to regional and seasonal water scarcity in many …