AJUNTAMENT D'ALCOI
Website
Generalitat Valenciana
Website
Ayuntamiento de Valencia
Website
Cicloplast
Website
Ayuntamiento de Onil
Website
Anarpla
Website
Ayuntamiento de Mislata
Website
nlWA, North London Waste Authority
Website
Ayuntamiento de Salinas
Website
Zicla
Website
Fondazione Ecosistemi
Website
PEFC
Website
ALQUIENVAS
Website
DIPUTACI� DE VAL�NCIA
Website
AYUNTAMIENTO DE REQUENA
Website
UNIVERSIDAD DE ZARAGOZA
Website
OBSERVATORIO CONTRATACIÓN PÚBLICA
Website
AYUNTAMIENTO DE PAIPORTA
Website
AYUNTAMIENTO DE CUENCA
Website
BERL� S.A.
Website
CM PLASTIK
Website
TRANSFORMADORES INDUSTRIALES ECOL�GICOS
INDUSTRIAS AGAPITO
Website
RUBI KANGURO
Website
If you want to support our LIFE project as a STAKEHOLDER, please contact with us: life-future-project@aimplas.es
In this section, you can access to the latest technical information related to the FUTURE project topic.
Quantitative assessment of interplay between urbanization dynamics and land surface temperature variations using generalized additive model coupled PDP for sustainable urban planning and management
The mountainous region of Asir is experiencing rapid and unsystematic urbanization leading to an increase in land surface temperatures (LST), which poses a challenge to human well-being and ecological balance. Therefore, it is necessary to study the interaction between land use and land cover (LULC)-induced urbanization and LST using advanced geostatistical techniques. In addition, understanding the urbanization process and urban density is essential for effective urban planning and management. The aim of this study was to investigate the interaction between the urbanization process, urban density and the associated LST. Using the Random Forest Algorithm, LULC mapping was conducted for the years 1990, 2000 and 2020. Metrics such as land cover change rate (LCCR), land cover index (LCI), landscape expansion index (LEI), mean landscape expansion index (MLEI) and area-weighted landscape expansion index (AWLEI) were used to understand urbanization processes and LULC changes. Convolutional kernels were used to model urban density, and the mono-window algorithm was applied to analyse LST in the selected years. In addition, the study assessed the Surface Urban Heat Island (SUHI) contribution index to LULC and used Generalized Additive Models (GAMs) in conjunction with Partial Dependence Plots (PDPs) to understand the relationship between urbanization processes, urban density and LST. In a detailed 30-year study, the application of the RF algorithm showed significant shifts in LULC with an overall validation accuracy of over 85%. Urban areas grew dramatically from 69.40 km2 in 1990 to 338.74 km2 in 2020, while water areas decreased from 1.51 to 0.54 km2. Dense vegetation increased from 43.36 to 52.22 km2, indicating positive ecological trends. The LST analysis showed a general warming, with the mean LST increasing from 40.51 °C in 1990 to 46.73 °C in 2020 and the highest temperature category (50–60 °C) increasing from 0.78 to 33.35 km2. The built-up area of cities tripled between 1990 and 2020, with the Landscape Expansion Index reflecting significant growth in suburban areas. The modeling of urban density shows increasing urbanization in the centre, which will expand significantly to the east by 2020. The contribution of LULC to LST and the Urban Heat Island (SUHI) effect was evident, with built-up areas showing a constant temperature increase. GAMs confirmed a statistically significant relationship between urban density and LST, with different effects for different types of urban expansion. This comprehensive study quantitatively sheds light on the complicated dynamics of urbanization, land cover change and temperature variation and provides important insights for sustainable urban development.
» Publication Date: 25/09/2024
C/ Gustave Eiffel, 4
(València Parc Tecnològic) - 46980
PATERNA (Valencia) - SPAIN
(+34) 96 136 60 40
Project Management department - Sustainability and Industrial Recovery
life-future-project@aimplas.es