The physiological climate of Ilorin, Nigeria

Olaniran, O. J.

doi:10.1007/bf02278298

Cited by 12 publications

(12 citation statements)

References 3 publications

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“…The values of the indices (ET, THI and RSI) were estimated from the respective records of temperature and relative humidity for each station, and for different period (diurnal and monthly). The formulae used for computation of ET, THI, and RSI have been found to be valid and generally accepted for use in Nigeria and the tropics (ET: Ayoade, ; Olaniran, ; Ogbonna and Harris, , THI: Olaniran, ; Unger, and RSI: Unger, , Alessandro and de Garin, ). The ET, THI and RSI were calculated with the empirical Equations and :

ET = T - 0.4 (T - 10) (1 - \frac{H}{500})

THI = 0.8 T + \frac{italicHT}{100}

RSI = \frac{([], 10.7 + 0.74 ((), T - 35))}{44 - 0.0075 HV}

where T is the mean temperature of the air (°C), H is relative humidity (%), V is the saturation vapour pressure (hPa), and is estimated as

V = 6.11 \times 10^{\frac{7.5 T}{237.7 + T}}

.…”

Section: Methodsmentioning

confidence: 99%

“…The United Nations (United Nations, ) suggested that more than 90% of future population growth will be concentrated in cities in developing countries, and a large percentage of this population will be poor. Few studies, nonetheless, have been undertaken in Nigeria, most of which have been limited to either indoor microclimate (Ajibola, ; Ogbonna and Harris, ) or urban microclimates (Olaniran, ; Adebayo, ; Akinbode et al , ).…”

Section: Introductionmentioning

confidence: 99%

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Air temperature, relative humidity, climate regionalization and thermal comfort of Nigeria

Eludoyin

Adelekan

Webster

et al. 2013

Intl Journal of Climatology

116

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Planners and policy makers require information about the regions for which they are responsible. However, it seems that many developing countries, including Nigeria, are not adequately prepared either for their current climates or for the impact of climate change because they lack sufficient information. We have therefore examined the variations in the thermal condition in terms of the temperature, relative humidity, effective temperature (ET), temperature-humidity index (THI) and relative strain index (RSI). We studied the spatial and temporal (seasonal and monthly averages) variations in the thermal climate of Nigeria, and we divided Nigeria into thermal climate regions for effective climate change management. Mean annual minimum, mean and maximum temperatures (with their standard deviations) were 21.4 (3.5), 27.1 (2.7) and 32.8 (3.4) • C, respectively, while the overall mean relative humidity was 62 (24.8)%. Mean ET, THI and RSI were 24.3 (0.85), 24.8 (1.83) and 0.2 (0.18) • C, respectively. The ET, THI and RSI provided contrasting expressions of thermal comfort for Nigeria, because of its varied climate. We also found that elevation; the movement of the Inter Tropical Discontinuity and urbanization affect thermal comfort in Nigeria. We conclude that thermal stress has increased in Nigeria from 2000 at most stations, especially in the south and north-western regions, and that Nigerian thermal comfort climate is heterogeneous and requires analysis of multiple thermal indices.

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ET = T - 0.4 (T - 10) (1 - \frac{H}{500})

THI = 0.8 T + \frac{italicHT}{100}

RSI = \frac{([], 10.7 + 0.74 ((), T - 35))}{44 - 0.0075 HV}

where T is the mean temperature of the air (°C), H is relative humidity (%), V is the saturation vapour pressure (hPa), and is estimated as

V = 6.11 \times 10^{\frac{7.5 T}{237.7 + T}}

.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Air temperature, relative humidity, climate regionalization and thermal comfort of Nigeria

Eludoyin

Adelekan

Webster

et al. 2013

Intl Journal of Climatology

116

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“…The thermal comfort indices have been used in previous studies, and have been found to be suitable to the Nigerian (and tropical) climate [33] [34] [38] [39]. The 20 stations were selected to represent the different sub-climate types (tropical wet (TW), tropical wet and dry (TWD), guinea savanna (GS), sudan savanna, sahel savanna and montane) (Figure 2(a)).…”

Section: Methodsmentioning

confidence: 99%

A Perspective of the Diurnal Aspect of Thermal Comfort in Nigeria

Eludoyin¹

2014

ACS

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It also examines the responses from 3600 sample population from tertiary institutions across Nigeria. Results indicated thermal stress in Nigeria, and showed that both heat and cold stress varied temporally and spatially (1200 -1500 Local Standard Time, LST as the most thermally uncomfortable period of the day, while before 0900 and around 2100 LST were more comfortable). The study showed that judgment on climate issues were often beclouded by religious or ignorant sentiments. Efficient coping strategies for thermal stress are generally lacking, being limited by poor education, financial capacity and inadequate government commitment to cater for the health effects of extreme climate conditions. The study concluded that Nigeria, which exemplifies many developing countries, is not yet prepared for the effect of future climate change. The study recommends climate education, improves health schemes for climate-related morbidity and improves greening of the urban environment.

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“…Again the standard has been suggested by world meteorological organisation (WMO). This method has been used by [14] and reasonable success was realised. The dwelling units sampled were the buildings without air conditioning systems (AC) (i.e.…”

Section: Methodsmentioning

confidence: 99%

“…3) Commercial areas; 4) Governmental (GRA); 5) Mixed uses. This method of calibration has been used by [21] [22] [23], and [14]. About 20 neighbourhoods were delineated in the study area (see Table 1).…”

Section: Methodsmentioning

confidence: 99%

Thermal Comfort Characteristics and Its Effects on Health Status of Occupants of Residential Building Typology in a Sub-Humid Tropical Climate

Wodu¹,

Weli²,

Nwagbara³

2020

ACS

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This study examined the indoor thermal comfort characteristics and it implications for the health of the inhabitants in Yenagoa, Bayelsa state, Nigeria. The study used the experimental and survey research designs to gather primary data of temperature (dry and wet bulb), and perception of the inhabitants regarding thermal conditions in the study area. The effective temperature equation was used to determine the thermal comfort characteristics of the residential buildings in the study area, while the analysis of variance (ANOVA) model was used to determine the spatial variation in thermal comfort characteristics across the different land uses in the study area. The findings of the study include: the thermal comfort characteristics for the study area ranged between 27.3 ET & 29.08 ET at the dry period and at wet period 25.6 ET and 27.10 ET. The ANOVA model was significant at P < 0.05 (F-118.23, sig-0.00), indicating that there is a significant difference in the thermal comfort characteristics in the study area. The Duncan statistics however, revealed that, the GRA is the coolest when it comes to effective temperature. Furthermore, the respondents identified that; the period of discomfort is mostly afternoon (37.3%) and Nights (35.1%). Health problems as a result of poor thermal conditions include skin rashes (59.8%), heat cramps (26.4%), prickly heat (42%) and heat exhaustion (51.3%). As a result of the findings the study strongly advocates, building residential buildings with several openings and locating such openings in recognition of the wind direction.

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The physiological climate of Ilorin, Nigeria

Cited by 12 publications

References 3 publications

Air temperature, relative humidity, climate regionalization and thermal comfort of Nigeria

Air temperature, relative humidity, climate regionalization and thermal comfort of Nigeria

A Perspective of the Diurnal Aspect of Thermal Comfort in Nigeria

Thermal Comfort Characteristics and Its Effects on Health Status of Occupants of Residential Building Typology in a Sub-Humid Tropical Climate

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