Urban climate change: A statistical analysis for São Paulo

Valente, Fernanda; Laurini, Márcio Poletti

doi:10.1016/j.uclim.2021.101077

Cited by 8 publications

(7 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, as highlighted by Valante and Laurini (2022), the change occurs due to human or natural activities; the roots come from urbanization processes, leading to extreme changes in the frequency and intensity of weather or climates [5]. While climate change refers to the shift in the measure to indicate a long-term climate change, the United States Geological Survey defined global warming as the increase of global temperature due to activities that release GHG into the atmosphere, such as burning fuels [6].…”

Section: Introductionmentioning

confidence: 89%

Low Carbon City (LCC) Governance through Administrative and Operational Approaches by Malaysian Local Government

Jamaluddin,

Abdullah,

Yakob

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

In Malaysia, the current practice of delivering low-carbon city approaches usually is administered and managed by the planning department in each local authority. However, this current practice may also lead to the problem of unorganized institutional administration and management. Simultaneously, the Malaysian government, through Low-carbon City Master Plan, has mentioned the need for governance restructuring for low-carbon city delivery. Therefore, this paper aims to evaluate the practice of Low Carbon City (LCC) in terms of administrative and operational practices. Three (3) objectives were established for this study; (i) assessing the governance for low-carbon city approaches and; (ii) examining the operational practices of LCC initiatives at the local level, and (iii) determining the application of policies and strategies for low-carbon development by the local authority. The study applies the purposive sampling approach, using the technique of an in-depth interview with two (2) core local authorities endeavoring on low-carbon development in the state of Selangor; Shah Alam City Council (MBSA) and Subang Jaya City Council (MBSJ). The result of this study shows that the governance of low-carbon cities can be categorized into three (3) main dimensions: administrative, operational, and policy application. From the administration feature, the findings indicated that the current administration practice needs to be restructured to enable a more effective delivery system. Moreover, the current way of delivering a low-carbon city was ineffective due to long-standing systems, coordination among the agencies, and the feasibility of the strategies planned to achieve the low-carbon status. Since this study converges on the governance aspect from the perspective of the local authority, future research may look deeper into the whole framework involving the delivery support system, contributing to the effectiveness of low-carbon delivery practices.

show abstract

Section: Introductionmentioning

confidence: 89%

Low Carbon City (LCC) Governance through Administrative and Operational Approaches by Malaysian Local Government

Jamaluddin,

Abdullah,

Yakob

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…The spatio-temporal decomposition methodology proposed in [24] was applied and generalized to other relevant contexts of spatio-temporal modeling of climate and environmental processes. Versions of this model for spatiotemporal point processes were applied to model the intensity of occurrence of tornadoes due to the effects of climate change [31], in the analysis of impacts of regulatory changes on the burning of sugar cane on the occurrence of fires in the state of São Paulo-Brazil ( [32]), in modeling the intensity of fires in Australia ( [33]) and the Brazilian Amazon ( [34]), and in modeling changes in climate patterns of rainfall, temperature, record temperatures and rainfall and other climate effects in [35], being a consolidated methodology for spatio-temporal analysis of climate and environmental effects.…”

Section: Introductionmentioning

confidence: 99%

Spatial Heterogeneity in Climate Change: Evidence from Brazilian Biomes

Rodarte,

Laurini

2024

Preprint

View full text Add to dashboard Cite

We present a methodology designed to study the spatial heterogeneity of climate change. Our approach involves decomposing the observed changes in temperature patterns into multiple trend, cycle, and seasonal components within spatio-temporal models. We apply this method to test the hypothesis of a global long-term temperature trend against multiple trends in distinct biomes. Applying this methodology, we delve into the examination of heterogeneity of climate change in Brazil — a country characterized by a spectrum of climate zones. The findings challenge the notion of a global trend, revealing the presence of distinct trends in warming effects, and more accelerated trends for the Amazon and Cerrado biomes, indicating a composition between global warming and deforestation in determining changes in permanent temperature patterns.

show abstract

“…The spatio-temporal decomposition methodology proposed in 24 was applied and generalized to other relevant contexts of spatio-temporal modeling of climate and environmental processes. Versions of this model for spatio-temporal point processes were applied to model the intensity of occurrence of tornadoes due to the effects of climate change 31 , in the analysis of impacts of regulatory changes on the burning of sugar cane on the occurrence of fires in the state of São Paulo-Brazil 32 , in modeling the intensity of fires in Australia 33 and the Brazilian Amazon 34 , and in modeling changes in climate patterns of rainfall, temperature, record temperatures and rainfall and other climate effects in 35 , being a consolidated methodology for spatio-temporal analysis of climate and environmental effects.…”

Section: Introductionmentioning

confidence: 99%

Spatial heterogeneity in climate change effects across Brazilian biomes

Braga,

Laurini

2024

Sci Rep

View full text Add to dashboard Cite

We present a methodology designed to study the spatial heterogeneity of climate change. Our approach involves decomposing the observed changes in temperature patterns into multiple trend, cycle, and seasonal components within a spatio-temporal model. We apply this method to test the hypothesis of a global long-term temperature trend against multiple trends in distinct biomes. Applying this methodology, we delve into the examination of heterogeneity of climate change in Brazil—a country characterized by a spectrum of climate zones. The findings challenge the notion of a global trend, revealing the presence of distinct trends in warming effects, and more accelerated trends for the Amazon and Cerrado biomes, indicating a composition between global warming and deforestation in determining changes in permanent temperature patterns.

show abstract

Urban climate change: A statistical analysis for São Paulo

Cited by 8 publications

References 36 publications

Low Carbon City (LCC) Governance through Administrative and Operational Approaches by Malaysian Local Government

Low Carbon City (LCC) Governance through Administrative and Operational Approaches by Malaysian Local Government

Spatial Heterogeneity in Climate Change: Evidence from Brazilian Biomes

Spatial heterogeneity in climate change effects across Brazilian biomes

Contact Info

Product

Resources

About