Estimating the Precipitation Amount at Regional Scale Using a New Tool, Climate Analyzer

Bărbulescu, Alina; Postolache, Florin; Dumitriu, Cristian Ștefan

doi:10.3390/hydrology8030125

Cited by 11 publications

(9 citation statements)

References 21 publications

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“…In the last stage, the RegS is built using the series recorded in each country (30 series) by the following procedure [ 15 , 40 ].…”

Section: Methodsmentioning

confidence: 99%

Modeling the Greenhouse Gases Data Series in Europe during 1990–2021

Bărbulescu

2023

Toxics

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Nowadays, climate change and atmospheric pollution are two of humanity's most significant challenges. Greenhouse gases (GHGs) are responsible for climate change, and they create effects that are mostly irreversible. Therefore, monitoring and reducing such emissions are compulsory for the preservation of the environment for future generations. The European Union took action in this direction. The article presents the evolution of the total GHGs trend, from 1990 to 2021, in the EU countries and their associates. Trend analysis and grouping of the countries using different clustering techniques are performed. The analysis of the existence of greenhouse gases (GHGs) series’ trend, in 30 countries from Europe, showed that the GHG emissions decreased from 1990 to 2021 in only 17 countries. The annual series, built using the data reported by each country each year, does not present a specific trend. After grouping the countries in clusters by k-means and hierarchical clustering, the representative series for the annual recorded values in the 30 studied countries, called Regional series (RegS), is built using series selected from the cluster with the highest number of elements. The same algorithm provides the Representative Temporal series (TempS), which selects specific years after clustering the annual GHG series.

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“…In the last stage, the RegS is built using the series recorded in each country (30 series) by the following procedure [ 15 , 40 ].…”

Section: Methodsmentioning

confidence: 99%

Modeling the Greenhouse Gases Data Series in Europe during 1990–2021

Bărbulescu

2023

Toxics

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“…The algorithm run for building RegS from the series recorded in the 30 European countries has the following steps [61,62]:…”

Section: Building Regsmentioning

confidence: 99%

Statistical Analysis and Modeling of the CO2 Series Emitted by Thirty European Countries

Bărbulescu

2024

Climate

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In recent decades, an increase in the earth’s atmospheric temperature has been noticed due to the augmentation of the volume of gases with the greenhouse effect (GHG) released into the atmosphere. To reduce this effect, the European Union’s directives indicate the action directions for reducing these emissions, among which carbon dioxide (CO2) recorded the highest amount. In this context, the article analyzes the CO2 series reported in 1990–2021 by 30 European countries. The Kruskal-Wallis test rejected the hypothesis that the series comes from the same underlying distribution. The Anderson-Darling test rejected the normality hypothesis for seven series out of thirty, and Sen’s procedure found a decreasing trend slope only for 17 series. ARIMA models have been built for all individual series. Grouping the series (by the k-means and hierarchical clustering) provided the base for building the Regional series (RegS), which describes the CO2 pollution evolution over Europe. The advantage of this approach is to provide the synthetic image of the regional evolution of the CO2 emission volume (mt), incorporating information from 30 series (one for each country) in only one—RegS. It is also shown that selecting the number of clusters involved in building RegS and assessing their stability is essential for the model’s goodness of fit.

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“…Climatic changes can induce modification of lake surfaces and riverbeds with severe implications for agricultural and economic activities [1][2][3]. The scientific literature demonstrates the "sensitivity" of physical, chemical, and biological lakes' properties to climate change and human intervention [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Surface Water Change Detection via Water Indices and Predictive Modeling Using Remote Sensing Imagery: A Case Study of Nuntasi-Tuzla Lake, Romania

Şerban

Maftei

Dobrica

2022

Water

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Water body feature extraction using a remote sensing technique represents an important tool in the investigation of water resources and hydrological drought assessment. Nuntasi-Tuzla Lake, a component of the Danube Delta Natural Reserve, is located on the Romanian Black Sea littoral. On account of an event in summer 2020, when the lake surface water decreased significantly, this study aims to identify the variation of the Nuntasi-Tuzla Lake surface water over a long-term period in correlation with human intervention and climate change. To this end, it provides an analysis in the period 1965–2021 via hydrological drought indices and data mining classification. The latter approach is based on several water indices derived from Landsat TM/ETM+/OLI and MODIS full-time series datasets: Normalized Difference Vegetation Index (NDVI), Normalized Difference Vegetation Index (NDVI), Modified NDWI (MNDWI), Weighted Normalized Difference Water Index (WNDWI), and Water Ratio Index (WRI). The experimental results indicate that the proposed classification methods can extract relevant features from waterbodies using remote sensing imagery with a high accuracy. Moreover, the study shows a similarity in the evolution of surface water cover identified with the data mining classification and the drought periods detected in the flow data series for the Nuntasi and Sacele Rivers that supply the Nuntasi-Tuzla Lake. Overall, the results of our investigation show that human intervention and hydrological drought had an extensive impact on the long-term changes in surface water of the Nuntasi-Tuzla Lake.

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Estimating the Precipitation Amount at Regional Scale Using a New Tool, Climate Analyzer

Cited by 11 publications

References 21 publications

Modeling the Greenhouse Gases Data Series in Europe during 1990–2021

Modeling the Greenhouse Gases Data Series in Europe during 1990–2021

Statistical Analysis and Modeling of the CO2 Series Emitted by Thirty European Countries

Surface Water Change Detection via Water Indices and Predictive Modeling Using Remote Sensing Imagery: A Case Study of Nuntasi-Tuzla Lake, Romania

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