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Spatiotemporal characterization of relative humidity trends and influence of climatic factors in Bangladesh.
Fattah, Md Abdul; Gupta, Sudipta Das; Farouque, Md Zunaid; Ghosh, Bhaskar; Morshed, Syed Riad; Chakraborty, Tanmoy; Kafy, Abdulla-Al; Rahman, Muhammad Tauhidur.
Afiliación
  • Fattah MA; Department of Urban and Regional Planning, Khulna University of Engineering and Technology, Khulna, 9203, Bangladesh.
  • Gupta SD; Center for Environmental Research, Bangladesh.
  • Farouque MZ; Department of Urban and Regional Planning, Khulna University of Engineering and Technology, Khulna, 9203, Bangladesh.
  • Ghosh B; Center for Environmental Research, Bangladesh.
  • Morshed SR; Department of Urban and Regional Planning, Khulna University of Engineering and Technology, Khulna, 9203, Bangladesh.
  • Chakraborty T; Center for Environmental Research, Bangladesh.
  • Kafy AA; Department of Urban and Regional Planning, Khulna University of Engineering and Technology, Khulna, 9203, Bangladesh.
  • Rahman MT; Center for Environmental Research, Bangladesh.
Heliyon ; 9(9): e19991, 2023 Sep.
Article en En | MEDLINE | ID: mdl-37809886
The frequency and intensity of climate change and resulting impacts are more prevalent in South Asian countries, particularly in Bangladesh. Relative humidity (RH) is a crucial aspect of climate, and higher RH variability has far-reaching impacts on human health, agriculture, environment, and infrastructure. While temperature and rainfall have gained much research attention, RH studies have received scant attention in the research literature. This study investigated the trends and variability of RH levels in Bangladesh and the influence of other meteorological factors over the past 40 years. Variabilities in the meteorological factors were identified by calculating descriptive statistics. Innovative trend analysis (ITA) and Mann-Kendall test (MK-test) methods were utilized to assess monthly, seasonal, and annual trends. The magnitude of temperature, rainfall, and windspeed influences on RH variability were identified using Pearson's correlation, Spearman rank correlation, and Kendall correlation model. Variability analysis showed higher spatial variations in RH levels across the country, and RH skewed negatively in all stations. Results reveal that daily, monthly, seasonal, and annual trends of RH exhibited positive trends in all stations, with an increasing rate of 0.083-0.53% per year in summer, 0.43-0.68% per year in winter, and 0.58-0.31% per year in the rainy season. Both ITA and MK-test provided consistent results, indicating no discrepancies in trend results. All three models indicate that temperature, rainfall, and windspeed have weak to moderate positive influences on changing RH levels in Bangladesh. The study will contribute to decision-making to improve crop yields, health outcomes, and infrastructure efficiency.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Heliyon Año: 2023 Tipo del documento: Article País de afiliación: Bangladesh Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Heliyon Año: 2023 Tipo del documento: Article País de afiliación: Bangladesh Pais de publicación: Reino Unido