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  Assessing the Impact of Gas Flaring and Carbon Dioxide Emissions on Precipitation Patterns in the Niger Delta Region of Nigeria Using Geospatial Analysis

  Otutu Anslem Onyebuchi, Eteh Desmond Rowland, Iluma Vieme Phoebe

  49-64

  
  Article ID: 5954
  337  (Abstract) 151  (Download)
  

  Abstract:

  This research utilizes geospatial methodologies to investigate the influence of gas flaring and carbon dioxide emissions on precipitation patterns within the Niger Delta region of Nigeria. The study relies on average mean precipitation data sourced from CHRS at the University of Arizona and carbon dioxide emissions data from NASA' s AIRS in Giovanni, spanning from... More

  2023-10-23

• Global Environmental Forecast and Roadmap Based on 420 kY of Paleoclimatology

  Thomas F. Valone

  33-40

  
  Article ID: 2191
  1327  (Abstract) 167  (Download)
  

  Abstract:

  As the world’s population has tripled (3x) since 1950, with another 50% increase expected by 2100, global annual carbon dioxide emissions growth rate has quadrupled (4x) since 1950 and global energy demand has quintupled (5x), all in the same time period. This discontinuous combination can be called a “3-4-5 Triad” and the sudden acceleration... More

  2020-09-19

• Planetary Layer Lapse Rate Comparison of Tropical,Montane and Hot Semi-Arid Climates of Nigeria

  David O. Edokpa, Precious N. Ede

  11-18

  
  Article ID: 2005
  1125  (Abstract) 174  (Download)
  

  Abstract: This study assessed the pattern of planetary layer lapse rate across the major climate belts of Nigeria. Six years’ data (2010-2015) for air temperature values between 1000 mbar and 850 mbar atmospheric pressure levels were acquired from Era-Interim Re-analysis data centre. The data was retrieved at 6-hourly synoptic hours: 0000H, 0600H, 1200H and 1800H at... More

  2020-07-13

• EmissV: A preprocessor for WRF-Chem model

  Daniel Schuch, Sergio Ibarra, Edmilson Dias de Freitas, Maria de Fátima Andrade

  1-5

  
  Article ID: 347
  1258  (Abstract) 186  (Download)
  

  Abstract: Air quality models are tools capable to predict the physical and chemical processes that affect air pollutants as they disperse and reacts in the atmosphere. These models need input containing meteorological data, terrestrial data and emissions. Meteorological and terrestrial data comes from different sources such as meteorological stations and satellite images which are important to... More

  2019-01-11