Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT Air pollution from sulfur dioxide (SO2) emissions poses significant threats to environmental sustainability, public health, and climate change efforts. Despite advances in monitoring and regulatory frameworks, traditional methods often fall short in accuracy, scalability, and efficiency.
Turkan Kopac
wiley +1 more source
Modeling and forecasting electricity loads: A comparison [PDF]
In this paper we study two statistical approaches to load forecasting. Both of them model electricity load as a sum of two components – a deterministic (representing seasonalities) and a stochastic (representing noise).
Rafal Weron, Adam Misiorek
core
Herbarium‐based measurements are reliable predictors of fresh plant traits in Neotropical Myrtaceae
Applications in Plant Sciences, EarlyView.Abstract Premise Herbarium specimens are increasingly used to extract morphological traits for ecological and evolutionary studies, yet the effects of tissue desiccation on trait measurements remain poorly understood. Here, we tested two hypotheses: (H1) whether higher tissue water content leads to greater measurement changes after herborization and ...
Yacov Kilsztajn +4 more
wiley +1 more source
SST subseasonal-to-seasonal forecasting: A heterogeneous three-path fusion model with wavelet decomposition. [PDF]
PLoS OneChen X, Wang Y, Chen J, Liu M.
europepmc +1 more source
Is There Seasonality in Pakistan’s Merchandise Exports and Imports? The Univariate Modelling Approach [PDF]
This paper investigates the existence of seasonal patterns in the quarterly merchandise export and import data of Pakistan from 1982: 1 to 2002: 1.
Sajjad Akhtar
core
Applications in Plant Sciences, EarlyView.Abstract Premise Herbarium specimens represent critical historical records of plant phenology, yet automating annotation of reproductive structures remains challenging given the diversity of floral morphologies, specimen age and quality, and image quality.
Erin L. Grady +6 more
wiley +1 more source
Seasonal forecasting using the GenCast probabilistic machine learning model. [PDF]
Clim DynAntonio B, Strommen K, Christensen HM.
europepmc +1 more source
Testing For Seasonal Cointegration and Error Correction: The U.S. Pecan Price-Inventory Relationship [PDF]
Using time series data we examine behavior of pecan prices and inventories at zero and seasonal frequencies, given results of seasonal cointegration tests. Both, seasonally unadjusted and adjusted quarterly data are used (1991-2002). Results suggest that,
Florkowski, Wojciech J. +1 more
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PhenoFECT: A Python package for forecasting and exploring plant phenology under climate change
Applications in Plant Sciences, EarlyView.Abstract Premise Climate change and global warming significantly affect the timing of plant flowering in spring. Accurately predicting these phenological events is crucial for understanding plant biology and agriculture. The chill‐day model (CDM) based on seasonal temperature changes has been a reliable model for predicting phenological activities ...
Songwon Kim, In‐Geol Choi
wiley +1 more source
Seasonal forecasting of dissolved organic carbon in a Mediterranean catchment: Enhancing upstream control of disinfection by-product precursors. [PDF]
Environ Monit AssessPedregal-Montes A +6 more
europepmc +1 more source