Potential impact of climate change on tourism in northern Nigeria / Usman Sadiq Hashidu ; Supervised Sultan Foly Hassan , Attia Mahmoud Mohamed Eltantawi
Material type: TextLanguage: English Publication details: Cairo : Usman Sadiq Hashidu , 2017Description: 234 P. : charts , maps ; 25cmSubject(s): Available additional physical forms:- Issued also as CD
Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | |
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Thesis | قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.16.07.Ph.D.2017.Us.P (Browse shelf(Opens below)) | Not for loan | 01010110075807000 | |||
CD - Rom | مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.16.07.Ph.D.2017.Us.P (Browse shelf(Opens below)) | 75807.CD | Not for loan | 01020110075807000 |
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Thesis (Ph.D.) - Cairo University - Institute of African Research and Studies - Department of Geography
Climate change has the propensity to alter rainfall and temperature regimes across the world which could affect tourism. Tourism is vital to national economies and income of its individual citizens. This study investigated the suitability of climate for tourism in northern Nigeria using the tourism climate index (TCI) developed by Mieczkowski (1985) and temperature humidity index (THI). Parameters used for calculating the TCI include monthly average maximum daily temperature, rainfall, mean daily relative humidity, minimum relative humidity, total wind speed and sunshine hours. The statistical techniques used for analysis are Mann-Kendall{u2019}s test for trend, descriptive statistics, time-series plots and correlation analysis. The tourism climate index TCI and temperature humidity index THI were calculated as TCI=2*(4CID+CIA+2R+2S+W). THI=(0.8{u00D7}Ta)+[(RH/100){u00D7}(Ta-14.3)]+46.4. The analyses performed involve the use of XLSTAT 2016 and Excel 2007. The result is presented in the form of tables and charts. GIS was used for zoning of tourism climatic conditions in different months. Results show a decreasing trend in annual total rainfall while temperature has an increasing trend. The result of the TCI showed that the study area is suitable for tourism throughout the year, as most of the TCI scores ranges from 92% to 41% ({u2018}ideal{u2019} to {u2018}marginal') except for Bauchi, Ilorin, Kano, Minna and Yola where some few months fall under {u2018}unfavorable{u2019} (below 40%). Months of January, February, November and December are the best months for tourism as they recorded higher TCI values. THI results under average temperature showed a favorable climate while that of maximum temperature unfavorable. It is therefore concluded that the best time for tourism in northern Nigeria is during the months of January, February, November and December
Issued also as CD
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