In this paper, the wavelet transform methods were briefly introduced, and present
researches and applications of them in hydrology were summarized and reviewed from six …

Study region The study area is Udaipur district, which is situated in hard-rock hilly terrain of
Rajasthan, India. Study focus In this study, spatio-temporal variations of fifteen groundwater …

Trend identification is an important issue in hydrological time series analysis, but it is also a
difficult task due to the diverse performances of methods. This paper mainly investigated the …

Forecasting freshwater lake levels is vital information for water resource management,
including water supply management, shoreline management, hydropower generation …

In the financial sector, the stock market and its trends are highly volatile in nature. Recent
studies have shown that news articles and social media analysis can have an immense …

In this study, five different artificial intelligence methods, including Artificial Neural Networks
based on Particle Swarm Optimization (PSO-ANN), Support Vector Regression (SVR), Multi …

Stream drying patterns–including duration, timing, and dry-down rates–affect aquatic
ecosystems and nutrient exports in non-perennial streams. Because hydrologic processes …

High spatial and temporal variation in precipitation in South Korea leads to an increase in
the frequency and duration of drought. In this study, the spatial characteristics of temporal …

As is true of many tropical regions, northeastern Puerto Rico is an ecologically sensitive
area with biological life that is highly elevation dependent on precipitation and temperature …

Trend identification is a substantial issue in hydrologic series analysis, but it is also a difficult
task in practice due to the confusing concept of trend and disadvantages of methods. In this …