VARIATION IN CLIMATOLOGICAL REGIMES IN COASTAL-RURAL DISTRICTS OF SINDH, PAKISTAN | [International Journal of Biology and Biotechnology • 2021]

Author(s):

1. Syeda Urooj Fatima: Institute of Environmental Studies, University of Karachi,Karachi ,Pakistan

2. Moazzam Ali Khan: Institute of Environmental Studies, University of Karachi,Karachi ,Pakistan

3. Mariam Khan: Institute of Environmental Studies, University of Karachi,Karachi ,Pakistan

4. Nadeem Mahmood: Department of Computer Science, University of Karachi,Karachi ,Pakistan

5. Nasir Sulman: Dean Faculty of Education, University of Karachi,Karachi ,Pakistan

Abstract:

Sindh Coastal and Rural Districts(CRDs) including Thatta, Sujawal and Badin arehighly vulnerable due to multifaceted impacts of climate change which has become a major challenge. This study deals with the statistical time series analysis of mean annual maximum temperature (TMAMax), minimum temperature (TMAMin) and precipitation (PMA) during 1961 to 2017 (57 years), and relative humidity (RHMA) and wind speed (WSMA) during 1961 to 2008 (48 years) using Mann-Kendall's Trend Model (MKTM) and Sen's Slope Estimator (SSE). The resultsshowed that TMAMax and TMAMin are significantly increased across all the CRDs; whereas, PMA is significantly declined. RHMA and WSMA are significantly decreased in Thatta and Sujawaland increased in Badin, while only increase in RHMA remained significant in Badin. The major finding of this study is that the gap between the TMAMax and TMAMin is narrowing since the annual increase in TMAMinis greater than annual increase in TMAMax. Therefore, it can be concluded that the TMAMin may replace the TMAMax in the region in coming years, while TMAMax is expected to be further escalated than its upper limit. The analysis further reveals that variation inclimatological regimes is at extreme in the region.

Page(s): 485-497

DOI: DOI not available

Published: Journal: International Journal of Biology and Biotechnology, Volume: 18, Issue: 3, Year: 2021

Keywords:

relative humidity , Climate change , Time series analysis , temperature , precipitation , wind speed

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