Spatio-temporal variation and trends of long-term meteorological variables in Nigeria

被引:0
|
作者
Emmanuel Israel
Adedayo Kayode David
Emmanuel Grace Omolara
机构
[1] Federal University of Technology,Department of Physics
[2] Federal University of Technology,Department of Computer Science
来源
关键词
Trend analysis; Rainfall; Mann-Kendall; Season;
D O I
暂无
中图分类号
学科分类号
摘要
Natural environmental disasters in the developing countries of West Africa are at alarming rate which necessitate the investigation of long-term trend of rainfall and temperature. Current variation, trends of temperature, and rainfall across Nigeria were investigated using parametric and non-parametric statistical tools. Meteorological data obtained from the Nigeria Meteorological Agency in Lagos, Nigeria, from 1970 to 2010 were used for this analysis. Seasonal and annual trends of maximum temperature, minimum temperature, and rainfall were carried out using Mann-Kendall and Sen’s slope methods. Long-term linear regression of these meteorological variables was analyzed across eighteen locations in the country. Spatial distribution of seasonal trends of these variables was also estimated for the four seasons in Nigeria. The result of the linear regression on temperatures and rainfall showed increasing trends in most of the locations across the country. Similarly, Mann-Kendall and Sen’s slope analysis showed a significant increasing trend in most areas across the country. Consequently, recent phenomena of environmental hazard such as an outbreak of airborne diseases and flooding leading to the collapse of buildings and various environmental disasters can be linked to the observed result.
引用
收藏
相关论文
共 50 条
  • [41] Long-Term Stationary Object Detection Based on Spatio-Temporal Change Detection
    Ortego, Diego
    SanMiguel, Juan C.
    Martinez, Jose M.
    IEEE SIGNAL PROCESSING LETTERS, 2015, 22 (12) : 2368 - 2372
  • [42] STCNN: A Spatio-Temporal Convolutional Neural Network for Long-Term Traffic Prediction
    He, Zhixiang
    Chow, Chi-Yin
    Zhang, Jia-Dong
    2019 20TH INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (MDM 2019), 2019, : 226 - 233
  • [43] Long-term spatio-temporal changes in a West African bushmeat trade system
    McNamara, J.
    Kusimi, J. M.
    Rowcliffe, J. M.
    Cowlishaw, G.
    Brenyah, A.
    Milner-Gulland, E. J.
    CONSERVATION BIOLOGY, 2015, 29 (05) : 1446 - 1457
  • [44] Long-term spatio-temporal dynamics of the mosquito Aedes aegypti in temperate Argentina
    Fischer, S.
    De Majo, M. S.
    Quiroga, L.
    Paez, M.
    Schweigmann, N.
    BULLETIN OF ENTOMOLOGICAL RESEARCH, 2017, 107 (02) : 225 - 233
  • [45] Long term spatio-temporal modeling for action detection
    Tapaswi, Makarand
    Kumar, Vijay
    Laptev, Ivan
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2021, 210
  • [46] Net primary productivity in Kazakhstan, its spatio-temporal patterns and relation to meteorological variables
    Eisfelder, Christina
    Klein, Igor
    Niklaus, Markus
    Kuenzer, Claudia
    JOURNAL OF ARID ENVIRONMENTS, 2014, 103 : 17 - 30
  • [47] Spatial and spatio-temporal modeling of meteorological and climatic variables using Open Source software
    Hengl, T.
    Pebesma, E.
    Hijmans, R. J.
    SPATIAL STATISTICS, 2015, 14 : 1 - 3
  • [48] Low dissolved oxygen in the Pearl River estuary in summer: Long-term spatio-temporal patterns, trends, and regulating factors
    Li, Xiuqin
    Lu, Chuqian
    Zhang, Yafeng
    Zhao, Huade
    Wang, Juying
    Liu, Hongbin
    Yin, Kedong
    MARINE POLLUTION BULLETIN, 2020, 151
  • [49] Can spatio-temporal geostatistical methods improve high resolution regionalisation of meteorological variables?
    Spadavecchia, L.
    Williams, M.
    AGRICULTURAL AND FOREST METEOROLOGY, 2009, 149 (6-7) : 1105 - 1117
  • [50] Long-term spatio-temporal changes of wetlands in Tibetan Plateau and their response to climate change
    Li, Yang
    Hou, Zhengyang
    Zhang, Liqiang
    Qu, Ying
    Zhou, Guoqing
    Lin, Jintai
    Li, Jingwen
    Huang, Ke
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2023, 121