A hybrid support vector regression–firefly model for monthly rainfall forecasting
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Environmental Science and Technology"
DOI: 10.1007/s13762-018-1674-2
Abstract: Long-term prediction of rainfalls is one of the most challenging tasks in stochastic hydrology owing to the highly random characteristics of rainfall events. In this paper, a novel approach is adopted to develop a hybrid… read more here.
Keywords: regression; support vector; monthly rainfall; model ... See more keywords
Statistical Trend Characteristics of Rainfall in the Baram River Basin (Malaysian Borneo)
Sign Up to like & getrecommendations! Published in 2020 at "Papers in Applied Geography"
DOI: 10.1080/23754931.2020.1847728
Abstract: Abstract Annual, seasonal, and monthly rainfall trends in the Baram River basin (BRB) in the equatorial tropical rainfall region of Borneo for 1970–2014 were statistically determined with Mann–Kendall (MK) and Spearman’s Rho (SR) test using… read more here.
Keywords: rainfall; monthly rainfall; baram river; river basin ... See more keywords
Probable monthly rainfall associated with distinct biomes of Mato Grosso do Sul state
Sign Up to like & getrecommendations! Published in 2017 at "Bioscience Journal"
DOI: 10.14393/bj-v33n3-34944
Abstract: The aim of this study was to determine the probable monthly rainfall for the state of Mato Grosso do Sul, considering the level of 75% probability, and study the spatial distribution associated with its different… read more here.
Keywords: grosso sul; monthly rainfall; mato grosso; state ... See more keywords
Techniques for monthly rainfall regionalization in southwestern Colombia.
Sign Up to like & getrecommendations! Published in 2022 at "Anais da Academia Brasileira de Ciencias"
DOI: 10.1590/0001-3765202220201000
Abstract: The knowledge of rainfall regimes is a relevant requirement for many activities such as water resources planning, risk management, agriculture activities management, and other hydrologic applications. The present study has consisted of validating four techniques… read more here.
Keywords: non linear; techniques monthly; monthly rainfall; rainfall ... See more keywords
Forecasting extreme monthly rainfall events in regions of Queensland, Australia using artificial neural networks
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Sustainable Development and Planning"
DOI: 10.2495/sdp-v12-n7-1117-1131
Abstract: Extreme rainfall in Queensland during December 2010 and January 2011 resulted in catastrophic flooding, causing loss of life, extensive property damage and major disruption of economic activity. Official medium-term rainfall forecasts failed to warn of… read more here.
Keywords: neural networks; using artificial; monthly rainfall; rainfall ... See more keywords
A Preliminary Study on a Hybrid Wavelet Neural Network Model for Forecasting Monthly Rainfall
Sign Up to like & getrecommendations! Published in 2018 at "Eurasia journal of mathematics, science and technology education"
DOI: 10.29333/ejmste/85119
Abstract: In this paper, a hybrid wavelet neural network (HWNN) model is developed for effectively forecasting rainfall with the data of antecedent monthly rainfalls, the ant colony optimization algorithm (ACO) is combined with particle swarm optimization… read more here.
Keywords: network; wavelet neural; monthly rainfall; model ... See more keywords
Long-Short Term Memory Technique for Monthly Rainfall Prediction in Thale Sap Songkhla River Basin, Thailand
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14081599
Abstract: Rainfall is a primary factor for agricultural production, especially in a rainfed agricultural region. Its accurate prediction is therefore vital for planning and managing farmers’ plantations. Rainfall plays an important role in the symmetry of… read more here.
Keywords: sap songkhla; thale sap; rainfall prediction; prediction ... See more keywords