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Wyszukujesz frazę "Nwilo, Peter C." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Potential influence of urban sprawl and changing land surface temperature on outdoor thermal comfort in Lagos State, Nigeria
Autorzy:
Obiefuna, Jerry N.
Okolie, Chukwuma J.
Nwilo, Peter C.
Daramola, Olagoke E.
Isiofia, Lawrence C.
Powiązania:
https://bibliotekanauki.pl/articles/1050781.pdf
Data publikacji:
2021-03-31
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
Landsat imageries
land cover changes
heat stress
outdoor thermal comfort
universal thermal climate index
Opis:
The continuous monitoring of the relationship between land surface temperature (LST) and land cover change is imperative for an inquiry into the potential impact of LST on human well-being, including urban outdoor thermal comfort in Lagos State, Nigeria. Using Landsat imagery, this study assessed land cover and LST changes from 1984 to 2019. Land cover was extracted, LST was determined from Landsat imageries and the land cover changes were linked to LST using the contribution index (CI). Afterwards, the universal thermal climate index (UTCI) was calculated to determine the heat stress levels. Findings confirm the presence of urban sprawl and new growth areas in previously rural Local Government Areas (LGAs) eastward, northward and westward of Lagos metropolis and in regions which lie on the fringe of the state’s border with Ogun State. Also, a very strong link between high LST intensities and increasing concentration of urban areas in rapidly growing LGAs has been observed. This link further confirms the increased warming of the state, with an increase in mean LST of 2.16°C during 1984–2019. The UTCI which was used to gauge the influence of LST on outdoor thermal comfort ranged from moderate to strong heat stress levels. This study helps to strengthen the case for definite policies and actions which should be aimed at achieving moderate urban development through increased urban tree canopy/green infrastructure provision and carbon sequestration activities in urban design/landscape design, in Lagos State.
Źródło:
Quaestiones Geographicae; 2021, 40, 1; 5-23
0137-477X
2081-6383
Pojawia się w:
Quaestiones Geographicae
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Soil erosion susceptibility mapping of Imo River Basin using modified geomorphometric prioritisation method
Autorzy:
Nwilo, Peter C.
Ogbeta, Caleb O.
Daramola, Olagoke E.
Okolie, Chukwuma J.
OrJi, Michael J.
Powiązania:
https://bibliotekanauki.pl/articles/2054950.pdf
Data publikacji:
2021-09-01
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
morphometry
weighted sum analysis
soil erosion susceptibility
SRTM
remote sensing
GIS
Imo River Basin
Opis:
Gullies and other forms of erosion have been the greatest environmental problem and catastrophe in most high- and low-income countries. The challenge posed by soil erosion has compromised agricultural productivity, en-vironmental biodiversity and food safety for the world’s population. It is important to identify vulnerable areas to soil erosion in each region to initiate remedial measures. This study demonstrates the use of watershed morphometry coupled with weighted sum analysis (WSA) to estimate the soil erosion susceptibility of the Imo River Basin sub-wa-tersheds (SWs) in South-Eastern Nigeria using satellite remote-sensing data and geographic information system (GIS) analysis. To this end, Shuttle Radar Topography Mission (SRTM), a Digital Elevation Model (DEM) with 30 m spatial resolution was used to extract and analyse 18 morphometric parameters including basic, linear, shape and relief. The method of receiver operating characteristics (ROC) curves was used to validate the model’s prediction accuracy. This morphometry-based analysis resulted in the SWs being classified into zones of low, medium, high and very high erosion susceptibility. With regard to erosion susceptibility, 41.51% of the basin (2494.68 km2) is in the very high pri-ority zone; while 10.50%, 44.33% and 3.66% of the basin are in the high, medium and low priority zones respectively. Validation of the final erosion susceptibility map showed a prediction accuracy of 81%. The use of satellite imagery and morphometric analysis in this study was cost- and time-effective for identifying areas susceptible to soil erosion.
Źródło:
Quaestiones Geographicae; 2021, 40, 3; 143-162
0137-477X
2081-6383
Pojawia się w:
Quaestiones Geographicae
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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