The Surface Urban Heat Island and Key Mitigation Factors in Arid Climate Cities, Case of Marrakesh, Morocco

Gourfi, Abdelali; Taïbi, Aude Nuscia; Salhi, Salima; Hannani, Mustapha El; Boujrouf, Saïd

doi:10.3390/rs14163935

Cited by 12 publications

(4 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lastly, Gourfi et al (2022) used air temperature measurements and spatial analysis to investigate the interplay among green spaces, constructed regions, and SUHI in Marrakesh. Their investigation revealed a mean LST variance of 3.98 • C across diverse city neighborhoods [13]. While these studies offer valuable insights into the UHI phenomenon in Moroccan cities, several gaps remain unaddressed.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Thermal Variations in Moroccan Cities: A Comparative Analysis

Derdouri

Murayama

Morimoto

2023

Sensors

View full text Add to dashboard Cite

This study examines the Land Surface Temperature (LST) trends in eight key Moroccan cities from 1990 to 2020, emphasizing the influential factors and disparities between coastal and inland areas. Geographically weighted regression (GWR), machine learning (ML) algorithms, namely XGBoost and LightGBM, and SHapley Additive exPlanations (SHAP) methods are utilized. The study observes that urban areas are often cooler due to the presence of urban heat sinks (UHSs), more noticeably in coastal cities. However, LST is seen to increase across all cities due to urbanization and the degradation of vegetation cover. The increase in LST is more pronounced in inland cities surrounded by barren landscapes. Interestingly, XGBoost frequently outperforms LightGBM in the analyses. ML models and SHAP demonstrate efficacy in deciphering urban heat dynamics despite data quality and model tuning challenges. The study’s results highlight the crucial role of ongoing urbanization, topography, and the existence of water bodies and vegetation in driving LST dynamics. These findings underscore the importance of sustainable urban planning and vegetation cover in mitigating urban heat, thus having significant policy implications. Despite its contributions, this study acknowledges certain limitations, primarily the use of data from only four discrete years, thereby overlooking inter-annual, seasonal, and diurnal variations in LST dynamics.

show abstract

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Thermal Variations in Moroccan Cities: A Comparative Analysis

Derdouri

Murayama

Morimoto

2023

Sensors

View full text Add to dashboard Cite

show abstract

“…More than half of the world's population resides in urban areas, and this number is projected to increase by 66% by 2050 [3]. Unfortunately, continuous population growth has contributed to the deterioration of the urban microclimate, primally due to escalating urban temperatures [4].…”

Section: Introductionmentioning

confidence: 99%

Climate change and surface urban heat islands in Jakarta: analysis of Landsat data and ground observations

Lathiifunnisa,

Sofan,

Astuti

2024

Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet

View full text Add to dashboard Cite

Climate change has led to an increase in global air temperatures, posing a threat to the liability of capital cities. This study focuses on understanding the Surface Urban Heat Island (SUHI) phenomena, which occurs over cities and is exacerbated by climate change. Spectral indices derived from Landsat data were used to understand SUHI, while trends in air temperature, precipitation, and relative humidity were analyzed using ground observation data collected from 1992 to 2022 in the capital city of Indonesia, Jakarta. The spectral indices used were the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Soil Adjusted Vegetation Index (SAVI), and Normalized Difference Moisture Index (NDMI). Land Surface Temperature (LST) was used to represent SUHI. Results indicate that NDMI has the highest Pearson's correlation coefficient with LST (-0.73), followed by EVI (-0.41), SAVI (-0.4), and NDVI (-0.4). Trend analysis using Mann-Kendal test and Sen's Slope showed a statistically significant increase in air temperature with a slope estimation of 0.03 o C per year, while rainfall and relative humidity did not significantly differ over 30 years. SUHI trend analysis showed a statistically significant increase with a slope estimation of 0.1 o C from 1992-2022. Mean surface temperature increased from 38.9 o C in 1992 to 39.4 o C in 2022. Jakarta's surface temperature ranged from 24°C -57°C across water bodies, vegetation, bare land, urban, and industry, analyzed using Support Vector Machine. This study provides insight into the condition of SUHI over time, allowing the government to make efforts to mitigate the impact of climate change.

show abstract

“…On the other hand, for a nation that is situated in dry and semi-arid areas and whose annual rainfall average is about one-third of the global average rainfall, lowering water consumption in the agriculture sector is one of the key priorities. Arid regions play an important role in extending the green areas around the country [10][11][12]. Arid regions are described by lower water availability, drought tolerance of plants, low electricity supply, shortage of rich soil, etc.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Cost-Effectiveness of Solar-Powered Irrigation in the Middle East

Khalaf,

Salam,

Attiya

2024

Preprint

View full text Add to dashboard Cite

The reduction of fossil fuel consumption is widely supported across various sectors. The agriculture sector presents a significant opportunity for sustainable solutions, electricity consumption is substantial for water pumping and irrigation. Solar power emerges as a promising alternative, particularly in the Middle East, renowned for its abundant solar resources. This study conducts a financial assessment integrating solar power into agricultural irrigation within the region. The proposed solar water system utilizes monocrystalline silicon photovoltaic modules to power a centrifugal pump, transferring water from 10-meter-deep wells to a 40 m3 surface tank. This system, with an initial investment cost of $25,058, was analyzed for economic feasibility in four locations: Bahtim (Egypt), Suwyban (United Arab Emirates), Ash Shibaniyah (Qatar), and Wadi Al Dawaserm (Saudi Arabia). Among these locations, the United Arab Emirate stands out for its substantial exposure to solar radiation, averaging 175 kWh/m2/day. The study emphasizes the importance of site-specific analysis over solely relying on a nation's economic status. Simulations conducted using the PVSYST program revealed that while the system performs less effectively in the Gulf regions due to the extreme temperatures, it achieves a high performance of 67.9% in Egypt. The system proves to be quite profitable in Egypt, with a payback period of 7.8 years and a net present value of $7175.37. The successful implementation of this solution fosters collaboration between stakeholders, decision-makers, and Egyptian authorities, collectively contributing to environmental protection by transitioning agriculture away from fossil fuel reliance.

show abstract

The Surface Urban Heat Island and Key Mitigation Factors in Arid Climate Cities, Case of Marrakesh, Morocco

Cited by 12 publications

References 68 publications

Spatiotemporal Thermal Variations in Moroccan Cities: A Comparative Analysis

Spatiotemporal Thermal Variations in Moroccan Cities: A Comparative Analysis

Climate change and surface urban heat islands in Jakarta: analysis of Landsat data and ground observations

Assessing the Cost-Effectiveness of Solar-Powered Irrigation in the Middle East

Contact Info

Product

Resources

About