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INTERDEPENDENCE BETWEEN DRY DAYS AND TEMPERATURE OF SYLHET REGION: CORRELATION ANALYSIS

Climate change can have profound impact on weather conditions around the world such as heavy rainfall, drought, global warming and so on. Understanding and predicting these natural variations is now a key research challenge for disaster-prone country like Bangladesh. This study focuses on the north... Full description

Journal Title: Journal of Urban and Environmental Engineering 2016, Vol.10(2), pp.145-154
Main Author: Shah, Syed
Other Authors: Hasan, G
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: DOI: 10.4090/juee.2016.v10n2.145154
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recordid: proquest1927140719
title: INTERDEPENDENCE BETWEEN DRY DAYS AND TEMPERATURE OF SYLHET REGION: CORRELATION ANALYSIS
format: Article
creator:
  • Shah, Syed
  • Hasan, G
subjects:
  • Bangladesh
  • Global Warming
  • Rainfall
  • Correlation Analysis
  • Temperature
  • Climate Change
  • Temperature
  • Global Warming
  • Rainfall
  • Global Warming
  • Ecological Monitoring
  • Drought
  • Climate Change
  • Countries
  • Climate Change
  • Ecological Balance
  • Droughts
  • Ecology
  • Rainfall
  • Correlation Analysis
  • Climatology
  • Economic Development
  • Global Warming
  • Temperature Effects
  • Correlation
  • Economic Analysis
  • Weather
  • Climate
  • Indication
  • Economic Development
  • Rainfall
  • Correlation Analysis
  • Climatic Changes
  • Correlation Analysis
  • Climate Change
  • Drought
ispartof: Journal of Urban and Environmental Engineering, 2016, Vol.10(2), pp.145-154
description: Climate change can have profound impact on weather conditions around the world such as heavy rainfall, drought, global warming and so on. Understanding and predicting these natural variations is now a key research challenge for disaster-prone country like Bangladesh. This study focuses on the north eastern part of Bangladesh which is a hilly region, plays an important role in the ecological balance of the country along with socio-economic development. Present study analyses the behavior of maximum temperature and dry days using different statistical tools. Pearson's correlation matrix and Man-Kendall's tau are used to correlate monthly dry days with monthly maximum temperature, and also their annual trend. A moderate correlation was found mostly in dry summer months. In addition, a positive trend was observed in Man Kendall's trend test of yearly temperature which might be an indication of global warming in this region.
language: eng
source:
identifier: DOI: 10.4090/juee.2016.v10n2.145154
fulltext: fulltext_linktorsrc
url: Link


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titleINTERDEPENDENCE BETWEEN DRY DAYS AND TEMPERATURE OF SYLHET REGION: CORRELATION ANALYSIS
creatorShah, Syed ; Hasan, G
ispartofJournal of Urban and Environmental Engineering, 2016, Vol.10(2), pp.145-154
identifierDOI: 10.4090/juee.2016.v10n2.145154
subjectBangladesh ; Global Warming ; Rainfall ; Correlation Analysis ; Temperature ; Climate Change ; Temperature ; Global Warming ; Rainfall ; Global Warming ; Ecological Monitoring ; Drought ; Climate Change ; Countries ; Climate Change ; Ecological Balance ; Droughts ; Ecology ; Rainfall ; Correlation Analysis ; Climatology ; Economic Development ; Global Warming ; Temperature Effects ; Correlation ; Economic Analysis ; Weather ; Climate ; Indication ; Economic Development ; Rainfall ; Correlation Analysis ; Climatic Changes ; Correlation Analysis ; Climate Change ; Drought
descriptionClimate change can have profound impact on weather conditions around the world such as heavy rainfall, drought, global warming and so on. Understanding and predicting these natural variations is now a key research challenge for disaster-prone country like Bangladesh. This study focuses on the north eastern part of Bangladesh which is a hilly region, plays an important role in the ecological balance of the country along with socio-economic development. Present study analyses the behavior of maximum temperature and dry days using different statistical tools. Pearson's correlation matrix and Man-Kendall's tau are used to correlate monthly dry days with monthly maximum temperature, and also their annual trend. A moderate correlation was found mostly in dry summer months. In addition, a positive trend was observed in Man Kendall's trend test of yearly temperature which might be an indication of global warming in this region.
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titleINTERDEPENDENCE BETWEEN DRY DAYS AND TEMPERATURE OF SYLHET REGION: CORRELATION ANALYSIS
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abstractClimate change can have profound impact on weather conditions around the world such as heavy rainfall, drought, global warming and so on. Understanding and predicting these natural variations is now a key research challenge for disaster-prone country like Bangladesh. This study focuses on the north eastern part of Bangladesh which is a hilly region, plays an important role in the ecological balance of the country along with socio-economic development. Present study analyses the behavior of maximum temperature and dry days using different statistical tools. Pearson's correlation matrix and Man-Kendall's tau are used to correlate monthly dry days with monthly maximum temperature, and also their annual trend. A moderate correlation was found mostly in dry summer months. In addition, a positive trend was observed in Man Kendall's trend test of yearly temperature which might be an indication of global warming in this region.
copJao Pessoa
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