Name: RODSON DE ANDRADE ALLOCCA
Type: PhD thesis
Publication date: 18/08/2023
Advisor:
Name |
Role |
|---|---|
| EDSON SOARES FIALHO | Advisor * |
Examining board:
| Name |
Role |
|---|---|
| EBERVAL MARCHIORO | Internal Examiner * |
| EDSON SOARES FIALHO | Advisor * |
Summary: Knowledge of environmental conditions is an element of great importance for the
establishment and development of societies. In this sense, among the approaches related to
natural dynamics, the understanding of climatic characteristics is a way to better direct and
establish the relationship between society and nature. Proposals for climate classification
prepared for the Brazilian territory, due to their generalism, often do not provide detailed
information in relation to smaller geographic areas. For this reason and the direct influence of
climate on health, well-being and even on the development of various economic activities in
human societies, a systematization of classification of the dynamics of climate elements is
necessary that can provide greater subsidies for planning and the management of anthropic
actions on a more detailed scale. The objective of this work is to elaborate the climatic
classification of the Rio Doce Hydrographic Basin and the choice of the study area is justified
by its national importance in the context of the use of water resources to meet the population
demands in its different uses, covering several cities both in the state of Minas Gerais, as in the
state of Espírito Santo. This classification is based on the Novais Climate Classification method
(2019), adapting the use of the Dinamica EGO environmental modeling software as an
intermediate tool in the processing and spatialization of data. For the delimitation of climatic
units, reanalysis data from the Climatologies at high resolution for the earth`s land surface areas
(CHELSA) algorithm, prepared by Karger et al. (2017), were used. The use of reanalysis data
is a technical resource that allows obtaining information on the climatic characteristics of areas
without official stations, optimizing the provision of data on the national territory. The adopted
method is still under construction, as some areas of the Brazilian territory have not yet been
classified at all hierarchical levels. As a research hypothesis, we have the perspective that it is
possible to refine the climate classification in the study area, since the Novais (2019)
classification system is structured in hierarchies, allowing, following defined criteria, a
variation in scalar levels, allowing smaller areas can be classified in greater detail. In this
system, the classification can be divided into Climatic Zones, Zonal Climates, Climatic
Domains, Climatic Subdomains, Climatic Types, Climatic Subtypes, Mesoclimates and
Topoclimates. The establishment of climate units according to Novais (2019) has as criteria the
average temperature of the coldest month (ATCM), the number of dry months, the influence
and performance of atmospheric systems on the rainfall regime and the passage of cold fronts
allowing the occurrence of frosts. With the application of the method, the choice of which is
related to its great approach potential, it was possible to delimit 76 climatic subtypes at the
basin level, in addition to representing an advance in climate analysis at lower geographicscales, as it established 6 Mesoclimates and 5 Topoclimates in the municipality of Ponte Nova,
MG. The information generated through the classification, as it contemplates different levels of
scalar approach, can, therefore, be used in decision-making regarding the planning and
environmental management of the area, in addition to being a contribution to the construction
and application of the method for the entire Brazil.
