This paper investigates the effects of urbanization on tree phenology, exploring the intra-urban variability of Tilia × europaea L. flowering in Florence Italyy).
Analysis of possible mechanisms that could affect the observed spatial sub-urban PM differences, including local meteorology and emissions, reveal that sub-urban variability of removal processes has a major influence on ambient PM levels.
In spite of the short-term monitoring, the models developed captured the intra-urban variability of total BTEX and its associated species in Chemical Valley.
The associations between socioeconomic status, race/ethnicity and demographics with the intra-urban variability of temperatures reflects an emergent form of spatial inequality in regards to climate risks the environmental exposures and adverse impacts of extreme weather events and climate change.
This study aimed at developing LUR models to predict BTEX (benzene, toluene, ethylbenzene, m/p-xylene and o-xylene) concentrations in Sarnia, 'Chemical Valley', Ontario, and model the intra-urban variability of BTEX compounds in the city for a community health study.
This approach is applied to the analysis of intra-urban variability in Florence Italyy), of two thermal indices (heat index and cooling degree days) used to evaluate impacts on thermal comfort and energy consumption for indoor cooling.
Air quality data derived from this study will ultimately be applied towards: (a) LUR modeling of intra-urban variability in multiple pollutants and seasons, and (b) epidemiologic investigation of health outcomes.
Land use regression (LUR) modelling is proposed as a promising approach to meet some of the challenges of assessing the intra-urban spatial variability of ambient air pollutants in urban and industrial settings.
Recently, land-use regression (LUR) models have been increasingly used to estimate intra-urban spatial variability of air pollutants and in developing exposure estimates for epidemiological research [ 17, 18].
The inclusion of neighborhoods in four cities is a noted strength of URBAN; however, the generally low density and limited variability of urban form in New Zealand reduces the generalizability of findings to cities with substantially different design attributes.
The compact urban form has not stifled species diversity and spatial variability of urban forests.
