Statistical Study of Modis Algorithms in Estimating Aerosol Optical Depth Over the Czech Republic

Ibrahim, Saleem; Halounová, Lena

doi:10.14311/cej.2019.04.0043

Cited by 2 publications

(2 citation statements)

References 31 publications

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“…8 The actual and predicted productivity has been carried out for developed regression model and their accuracy was determined through formulations as listed below. Equation (1) shows the formula for Mean Absolute Percentage Error (MAPE) whereas Average Accuracy Percentage (AA%) is presented as Equation (2) [20][21].…”

Section: -Compressive Strength Of Bfs Based Building Blocksmentioning

confidence: 99%

Impact of Eco Friendly Blast Furnace Slag on Production of Building Blocks

Nim

Meshram

2020

CEJ

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Solid waste management is one of the prime concerns in the world due to ever increasing proportion of non-biodegradable industrial waste product. Blast Furnace Slag (BFS) is one of the largest by products of steel and iron industries which creates scarcity of land filling area due to ineffective reuse and recycle. The use of such substance to create building blocks not most effective makes it economical, however it also enables in decreasing disposal concern. Clay bricks are the oldest walling material of construction industries. Due to preferable mechanical properties bricks are considered as prime source of masonry units that is used as walling material. Conventional clay bricks required burning process known as kiln firing which emits huge amount of CO2 into the atmosphere. World is facing same problem with the production of cement too. The major reasons behind pollution and environment depletion are due to unremitting decay in natural resources caused form deriving of raw materials such as sand, clay and dirt and also from huge amount of hazardous and non-hazardous wastes produced by the industries. Reuse of industrial waste such as BFS instead of naturally occurring raw material leads to contribute towards green environment. Present study intended toward use of steel and iron industry waste for manufacturing of building blocks to promote low cost housing along with mitigation of environmental violation. Based on the results, BFS may effectively replace with naturally occurring fine aggregates due to favourable physical properties. Durability aspects in terms of water absorption and compressive strength also found adequate as per the requirement of IS codes. An amount of partial to full replacement of BFS may allow as per required weathering conditions.

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Section: -Compressive Strength Of Bfs Based Building Blocksmentioning

confidence: 99%

Impact of Eco Friendly Blast Furnace Slag on Production of Building Blocks

Nim

Meshram

2020

CEJ

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“…The high spatial resolution of MAIAC AOD retrieval improves the ability to determine the characteristics of fine aerosols and distinguish aerosol sources (Mhawish et al, 2018). In algorithm is the combination of DT and DB, and its validation, statistically, is similar to the DT algorithm (Ali et al, 2019;Ibrahim and Halounova, 2019;Li et al, 2020).…”

Section: B) Db Productsmentioning

confidence: 99%

Analysis of the Spatial and Temporal Variability of Gases and Particulate Material Concentrations in the São Paulo Metropolitan Region and its Transport to other regions using Satellite Images and Numerical Modeling

Benavente¹

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for giving me the opportunity to show my ability and for passing on much of their knowledge and enthusiasm. Also, thank you for your trust and respect. To all the professors of the Department of Atmospheric Sciences who contributed to the strengthening of my knowledge.I also have special thanks to Janaina and Angel , colleagues, collab-orators and friends, with whom important part of this work was developed and who had the patience to have a look at this thesis. I am very grateful to all my colleagues at IAG-USP, with whom I had the opportunity to learn so much during these years.Esta tese foi escrita em L A T E X com a classe IAGTESE, para teses e dissertações do IAG. ResumoA variabilidade espacial e temporal das concentrações de P M 2.5 , N O x (NO + N O 2 ), CO e O 3 e valores de AOD sobre o sudeste do Brasil foi analisada, utilizando dados medidos próximos da superfície e integrados na coluna atmosférica e simulações do modelo WRF-Chem versão 3.9.1. Sessenta estações de qualidade do ar, quatro estações AERONET, três produtos de satélite e quatro diferentes períodos de simulações (Junho de 2017, Julho de 2018, e Junho e Agosto de 2019) foram considerados para caracterizar a qualidade do ar nesta região. As concentrações dos poluentes atmosféricos de uma estação móvel foram também incluídas para avaliar o impacto do transporte regional dos poluentes atmosféricos gerados na Região Metropolitana de São Paulo (MASP) para áreas vizinhas. As emissões de entrada compreendem emissões veiculares derivadas de um modelo de emissão bottom-up e cálculos on-line de taxas de emissões biogênicas e de queimadas. Para determinar uma configuração do modelo que seja adequada para representar a fotoquímica atmosférica, primeiro avaliamos a capacidade do modelo de reproduzir as condições meteorológicas.Foi encontrada uma boa concordância entre as simulações do modelo e as observações para temperatura (T 2m ) e umidade relativa (RH 2m ) a dois metros de altura, com R > 0.85 na maioria dos períodos. Subestimativas ocorreram para a precipitação acumulada diária devido às limitações do esquema de microfísica de nuvens ou parametrização de cumulus. O modelo apresentou deficiências para representar bem a precipitação local, embora tenha sido capaz de reproduzir padrões de precipitação em escala regional. As concentrações de P M 2.5 , N O x , CO e O 3 simuladas concordaram bem com as variações e tendências temporais observadas, com discrepâncias entre o modelo e as observações devido principalmente às incertezas nos inventários de emissões. Além disso, as simulações de N O 2 , CO e AOD foram comparadas com os produtos de satélite do OMI, MOPPIT e MODIS, respectivamente, obtendo, em geral, coeficientes de correlação entre moderados e altos (0.56 < R < 0.82). As diferenças entre os dados simulados e do satélite estão relacionadas, principalmente, às incertezas dos inventários de emissões e simplificações do modelo de aerossol (para a análise de AOD). Por outro lado, a evolução temporal de CO e P M 2.5 mostrou uma forte dependência da veloci...

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Statistical Study of Modis Algorithms in Estimating Aerosol Optical Depth Over the Czech Republic

Cited by 2 publications

References 31 publications

Impact of Eco Friendly Blast Furnace Slag on Production of Building Blocks

Impact of Eco Friendly Blast Furnace Slag on Production of Building Blocks

Analysis of the Spatial and Temporal Variability of Gases and Particulate Material Concentrations in the São Paulo Metropolitan Region and its Transport to other regions using Satellite Images and Numerical Modeling

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