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    Wyświetlanie 1-4 z 4
    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
    Tytuł:
    Assessing the relationship of lst, ndvi and evi with land cover changes in the lagos lagoon environment
    Autorzy:
    Alademomi, Alfred S.
    Okolie, Chukwuma J.
    Daramola, Olagoke E .
    Agboola, Raphael O .
    Salami, Tosin J.
    Powiązania:
    https://bibliotekanauki.pl/articles/1050894.pdf
    Data publikacji:
    2020-09-30
    Wydawca:
    Uniwersytet im. Adama Mickiewicza w Poznaniu
    Tematy:
    Coastal Environment
    Remote Sensing
    Land Cover
    LST
    NDVI
    EVI
    Lagos Lagoon
    Opis:
    The Lagos Lagoon is under increased pressure from growth in human population, growing demands for natural resources, human activities, and socioeconomic factors. The degree of these activities and the impacts are directly proportional to urban expansion and growth. In the light of this situation, the objectives of this study were: (i) to estimate through satellite imagery analysis the extent of changes in the Lagos Lagoon environment for the periods 1984, 2002, 2013 and 2019 using Landsat-derived data on land cover, Land Surface Temperature (LST), Normalised Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI); and (ii) to evaluate the relationship between the derived data and determine their relative influence on the lagoon environment. The derived data were subjected to descriptive statistics, and relationships were explored using Pearson’s correlation and regression analysis. The effect of land cover on LST was measured using the Contribution Index and a trend analysis was carried out. From the results, the mean LSTs for the four years were 22.68°C (1984), 24.34°C (2002), 26.46°C (2013) and 28.40°C (2019). Generally, the mean LSTs is in opposite trend with the mean NDVIs and EVIs as associated with their dominant land cover type. The strongest positive correlations were observed between NDVI and EVI while NDVI had the closest fit with LST in the regression. Built-up areas have the highest contributions to LST while vegetation had a cooling influence. The depletion in vegetative cover has compromised the biodiversity of this environment and efforts are required to reverse this trend.
    Źródło:
    Quaestiones Geographicae; 2020, 39, 3; 111-123
    0137-477X
    2081-6383
    Pojawia się w:
    Quaestiones Geographicae
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Dynamics of land cover change in the Anambra River Basin of Nigeria and implications for sustainable land management
    Autorzy:
    Njar, Nnanjar G.
    Iheaturu, Chima J.
    Inyang, Utibe B.
    Okolie, Chukwuma J.
    Daramola, Olagoke E.
    Orji, Michael J.
    Powiązania:
    https://bibliotekanauki.pl/articles/52575326.pdf
    Data publikacji:
    2024
    Wydawca:
    Uniwersytet im. Adama Mickiewicza w Poznaniu
    Tematy:
    land cover
    neural network
    cellular automata Markov model
    population growth
    Sustainable Development Goals
    Opis:
    Land cover change and its consequences such as environmental degradation and biodiversity loss pose significant global challenges, including in Nigeria’s Anambra River Basin. This study focuses on monitoring, predicting and understanding land cover changes in the basin from 1987 to 2018, with projections up to 2030. It explores the intricate relationship between population growth and land cover dynamics, aiming to contribute to sustainable land management practices and align with the Sustainable Development Goals (SDGs) for 2030. Using a combination of neural network classification and the CA-Markov model, the study analyses historical land cover data to identify significant transformations. Between 1987 and 2018, bare lands increased by 29%, vegetation increased by 14%, built-up areas increased by 128% and waterbodies increased by 10%, whereas there was a 58% decline in the extent of wetlands. The most significant transformation occurred in the wetlands, with a total of 1819.46 km2 being converted to various land cover types. The results demonstrate remarkable shifts characterised by rapid urbanisation, substantial wetland loss and a decline in vegetation cover. Expectedly, population growth is found to be closely linked to the expansion of built-up areas while negatively impacting other land cover types. These findings underscore the urgent need for sustainable land management strategies that balance the demands of growing populations with the preservation of natural ecosystems and biodiversity. Furthermore, the study provides future projections that offer crucial insights for decision-makers involved in land use planning, biodiversity conservation and sustainable development.
    Źródło:
    Quaestiones Geographicae; 2024, 43, 1; 179-195
    0137-477X
    2081-6383
    Pojawia się w:
    Quaestiones Geographicae
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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