Response of the barrier island coastal region of southwestern Nigeria to climate and non-climate forcing

Danladi, Iliya Bauchi; Gül, Murat; Ateş, E

doi:10.2989/1814232x.2020.1727953

Cited by 3 publications

(3 citation statements)

References 51 publications

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“…Danladi et al [140] Used Landsat imagery to delineate coastal erosion and accumulation in Nigeria from 1973 to 2017. Problematic in built-up areas.…”

Section: Land Surface Water Index (Lswi+5)mentioning

confidence: 99%

Impacts of Climate Variability and Drought on Surface Water Resources in Sub-Saharan Africa Using Remote Sensing: A Review

et al. 2020

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Climate variability and recurrent droughts have caused remarkable strain on water resources in most regions across the globe, with the arid and semi-arid areas being the hardest hit. The impacts have been notable on surface water resources, which are already under threat from massive abstractions due to increased demand, as well as poor conservation and unsustainable land management practices. Drought and climate variability, as well as their associated impacts on water resources, have gained increased attention in recent decades as nations seek to enhance mitigation and adaptation mechanisms. Although the use of satellite technologies has, of late, gained prominence in generating timely and spatially explicit information on drought and climate variability impacts across different regions, they are somewhat hampered by difficulties in detecting drought evolution due to its complex nature, varying scales, the magnitude of its occurrence, and inherent data gaps. Currently, a number of studies have been conducted to monitor and assess the impacts of climate variability and droughts on water resources in sub-Saharan Africa using different remotely sensed and in-situ datasets. This study therefore provides a detailed overview of the progress made in tracking droughts using remote sensing, including its relevance in monitoring climate variability and hydrological drought impacts on surface water resources in sub-Saharan Africa. The paper further discusses traditional and remote sensing methods of monitoring climate variability, hydrological drought, and water resources, tracking their application and key challenges, with a particular emphasis on sub-Saharan Africa. Additionally, characteristics and limitations of various remote sensors, as well as drought and surface water indices, namely, the Standardized Precipitation Index (SPI), Palmer Drought Severity Index (PDSI), Normalized Difference Vegetation (NDVI), Vegetation Condition Index (VCI), and Water Requirement Satisfaction Index (WRSI), Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI), Land Surface Water Index (LSWI+5), Modified Normalized Difference Water Index (MNDWI+5), Automated Water Extraction Index (shadow) (AWEIsh), and Automated Water Extraction Index (non-shadow) (AWEInsh), and their relevance in climate variability and drought monitoring are discussed. Additionally, key scientific research strides and knowledge gaps for further investigations are highlighted. While progress has been made in advancing the application of remote sensing in water resources, this review indicates the need for further studies on assessing drought and climate variability impacts on water resources, especially in the context of climate change and increased water demand. The results from this study suggests that Landsat-8 and Sentinel-2 satellite data are likely to be best suited to monitor climate variability, hydrological drought, and surface water bodies, due to their availability at relatively low cost, impressive spectral, spatial, and temporal characteristics. The most effective drought and water indices are SPI, PDSI, NDVI, VCI, NDWI, MNDWI, MNDWI+5, AWEIsh, and AWEInsh. Overall, the findings of this study emphasize the increasing role and potential of remote sensing in generating spatially explicit information on drought and climate variability impacts on surface water resources. However, there is a need for future studies to consider spatial data integration techniques, radar data, precipitation, cloud computing, and machine learning or artificial intelligence (AI) techniques to improve on understanding climate and drought impacts on water resources across various scales.

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“…Danladi et al [140] Used Landsat imagery to delineate coastal erosion and accumulation in Nigeria from 1973 to 2017. Problematic in built-up areas.…”

Section: Land Surface Water Index (Lswi+5)mentioning

confidence: 99%

Impacts of Climate Variability and Drought on Surface Water Resources in Sub-Saharan Africa Using Remote Sensing: A Review

et al. 2020

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“…Although coastal sediment cells can be considered as integrated and interconnected systems [35], in reality, the sediment volume fluxes and flux rates are highly variable between different storage areas within the system and respond to different forcing factors, such as wave-climate-controlling shoreface erosion and longshore transport [39,40] and wind-regime-controlling beach-dune sediment dynamics [41]. Understanding coastal sediment dynamics is the basis for modeling and predicting coastal change [22,[42][43][44][45].…”

Section: Coastal Systemsmentioning

confidence: 99%

“…In addition to variations in sensitivity to forcing imparted by rocky versus sandy and mixed coasts, different coastline-facing directions and nearshore bathymetries can also lead to variations in shoreface energy and the potential for sediment erosion and transport [45,50]. In closed sediment cells, erosion in one place should, in theory, be balanced by deposition elsewhere [35,43].…”

Section: Coastal Systemsmentioning

confidence: 99%

The Green Infrastructure of Sandy Coastlines: A Nature-Based Solution for Mitigation of Climate Change Risks

Knight

2024

Sustainability

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Natural coastal landforms such as sand dunes and sandy beaches have been proposed as green infrastructure that can reduce climate change risks along coastlines. As such, they can offer a nature-based solution to rising sea levels, increased storminess and wave erosion associated with climate change. However, these proposed advantages are not always based on a sound understanding of coastal sediment system dynamics or tested against field evidence of coastal morphodynamic behavior. This study critically examines the basis of the claim for coastal landforms as green infrastructure, by considering how and in what ways these landforms provide resilience against ongoing climate change along sandy coasts, and proposes a theoretical framework for understanding this relationship. The analysis highlights that natural coastal landforms do not always have properties that provide resilience against future climate change. They can only be considered as offering nature-based solutions against climate change when their pre-existing morphodynamic behavior is fully understood. Thus, not all coastal landforms can be considered as ‘green infrastructure’ and the resilience offered by them against climate change forcing may vary from one place or context to another. This should be considered when using landforms such as sandy beaches and sand dunes as nature-based solutions for coastal management purposes. A 10-step framework is proposed, guiding coastal managers on how such green infrastructure can be used to mitigate climate change risks along coasts.

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Geophysical Assessment of Coastal Erosion in Nigeria's Coastal Regions: Strategies for Protection and Management

et al. 2023

IJRISE

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The main purpose of this geophysical assessment was to learn as much as possible about how coastal erosion happens in Nigeria's coastal areas. The end goal was to come up with effective and efficient ways to manage and protect these areas. The research employed a variety of geophysical methodologies, such as GPR, electrical resistivity tomography (ERT), and bathymetric surveys, to collect essential data. GPR was utilized to examine the properties of soil and sediment beneath the surface. This investigation unveiled regions where soil cohesion was diminished, rendering them vulnerable to erosion. The organization ERT conducted a comprehensive analysis to determine the scope of saltwater intrusion and the dynamics of groundwater, with a specific focus on identifying areas susceptible to erosion. Bathymetric surveys were conducted to evaluate alterations in submerged topography and shoreline morphology over time, thereby elucidating patterns of shoreline regression. The assessments yielded significant insights into the vulnerabilities of coastal erosion, revealing distinct correlations among soil characteristics, saltwater intrusion, and shoreline alterations. The findings above provide a basis for the formulation of specific strategies to preserve and oversee Nigeria's susceptible coastal areas, thereby fostering the sustainable management of coastal ecosystems and ensuring the protection of coastal communities.

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Response of the barrier island coastal region of southwestern Nigeria to climate and non-climate forcing

Cited by 3 publications

References 51 publications

Impacts of Climate Variability and Drought on Surface Water Resources in Sub-Saharan Africa Using Remote Sensing: A Review

Impacts of Climate Variability and Drought on Surface Water Resources in Sub-Saharan Africa Using Remote Sensing: A Review

The Green Infrastructure of Sandy Coastlines: A Nature-Based Solution for Mitigation of Climate Change Risks

Geophysical Assessment of Coastal Erosion in Nigeria's Coastal Regions: Strategies for Protection and Management

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