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    Tytuł:
    Regional Mapping of Land Surface Temperature (LST), Land Surface Emissivity (LSE) and Normalized Difference Vegetation Index (NDVI) of South-South Coastal Settlements of Rivers State in Nigeria
    Autorzy:
    Nwaerema, Peace
    Ajiere, Suzan
    Powiązania:
    https://bibliotekanauki.pl/articles/1031686.pdf
    Data publikacji:
    2020
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Regional
    land surface emissivity
    land surface temperature
    normalized difference vegetation index
    population
    urbanization
    Opis:
    This study is the regional mapping of Land Surface temperature (LST), Land Surface Emissivity (LSE) and Normalized Difference Vegetation Index (NDVI) of south-south coastal settlements of Rivers State in Nigeria. The Google Earth Engine (GEE) of satellite remote sensing origin was used in the study. It was observed that land surface area of the south-south coastal settlements of the region hosting a total population of 3,344,706 persons had undergone severe modification and alteration of vegetal cover by increased human activities especially in the central area. Emissivity in the region increased from the center to the rural settlements with values ranging 0.98 to 0.99 and difference of 0.01 indicating that there was increased modification of the regional land surface. Land surface temperature decreased from the regional center to the rural settlements ranging between 22.12 ºC to 35.99 ºC with a difference of 13.87 ºC. However, LST was scattered in different settlement spots especially in the northern region such as Aleto, Finema (south); Rumuolu, Odogwa, Abara, Umuechem, Rumuola, Ambroda (north) among others. The normalized vegetation index showed -0.54358 to 0.409327 having the difference of 0.952907 indicating greater variation in vegetal cover across the region. Thus, NDVI in the region increased from the regional center to the outskirts of the area. Urbanization in the south-south region of Rivers State had extended severely to the rural settlements. Therefore, it is recommended that policy makers and regional planners should protect the area from adverse vegetal lost and heat effects by implementing regional greening practices.
    Źródło:
    World News of Natural Sciences; 2020, 28; 76-86
    2543-5426
    Pojawia się w:
    World News of Natural Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Population Variability and Heat Bias Prediction of Africa from 2019 to 2049: An Approach to Sustainable Continental Heat Management
    Autorzy:
    Nwaerema, Peace
    Diagi, Bridget Edewede
    Edokpa, David
    Ajiere, Suzan
    Powiązania:
    https://bibliotekanauki.pl/articles/1066299.pdf
    Data publikacji:
    2019
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Africa
    countries
    heat bias
    land mass
    population
    population density
    Opis:
    This research assesses population variability and heat bias prediction of Africa from 2019 to 2049. Heat bias data were generated from Elaboration of data by United Nations, Department of Economic and Social Affairs, Population Division and projected up to 2049 using the population mathematical model. With different population growth rates of African countries, the Continent recorded annual heat bias of 6.7 ºC in 2019, 6.7 ºC in 2029 and 6.8 ºC in 2039 as well as 6.9 ºC in 2049 with decadal growth rate of 0.1 ºC indicating that it has exceeded the 0.5-0.25 ºC standard comfort threshold. In Africa, the countries with highest heat bias are Nigeria (6.1 ºC), Ethiopia (5.9 ºC), Egypt (5.8 ºC) and Democratic Republic of Congo (5.8 ºC). Country with highest population density was Mayotte at 510 P/Km2 and 4.0 ºC heat bias, Mauritius was the second country with high population density of 626 P/Km2 and 4.5 ºC heat bias. Rwanda ranked third with population density of 519P/Km2 and 5.2 ºC heat bias; Comoros and Burundi had population density of 457 P/Km2 and 451 P/Km2 as well as heat bias of 4.3 ºC and 5.2 ºC respectively. Countries with very low population density were Western Sahara (2P/Km2 and 4.2 ºC heat bias), Namibia (3 P/Km2 and 4.7 ºC heat bias), Libya (5.0 ºC) and Botswana (4.7 ºC) both having population density of 4 P/Km2. Results show that heat bias in Africa does not differ across the decades. Also, the climatic characteristics operating on the land of Africa influence heat bias of the continent. Heat wave could result to death of people in Africa; therefor planners in Africa should implement environmental, health and land-use management strategies with immediate action in order to make Africa a heat bias free place to live.
    Źródło:
    World Scientific News; 2019, 130; 265-285
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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