Response of enhanced vegetation index changes to latent/sensible heat flux and precipitation over Pakistan using remote sensing

Tariq, Salman; Nawaz, Hasan; Ul-Haq, Zia; Mehmood, Usman

doi:10.1007/s11356-022-20391-y

Cited by 9 publications

(5 citation statements)

References 86 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Alam et al ( 2011c ) found a higher value of an aerosol index over southern regions of Pakistan because of highly populated and industrialized regions. Our results are in agreement with (Tariq et al 2022 ) as they also found high AI values in 2021. Tariq and Ali ( 2015 ) also showed similar results and showed a higher concentration of AOD in the central and southern regions of Pakistan but that study was just for the period of almost 4 years (December 2004 to November 2008) which indirectly shows that if there will be a higher concentration of AOD then it will lead to a higher concentration of UVAI in those regions.…”

Section: Resultssupporting

confidence: 94%

“…The value of the coefficient of determination between UVAI and seasons (spring, summer, autumn, and winter) within the study period is 0.2187, 0.2661, 0.7635, and 0.5304, respectively, which shows the highest correlation for autumn and the lowest correlation for spring. Tariq et al (2022) similarly calculated the coefficient of determination between AI and years, but their values differ a little bit from our calculations because they have found their results on temporal distribution and we have determined our results on spatial distribution. Zeb et al (2019) showed that prominent aerosols during summer and spring were dust particles whereas the aerosols during winter and autumn were due to anthropogenic activities during the study period between 2014 and 2016.…”

Section: Seasonal Distribution Of Absorbing Aerosolsmentioning

confidence: 68%

“…Tariq et al ( 2022 ) have evaluated similar observations for winter, pre-monsoon, and post-monsoon seasons and found the highest UVAI of 2.31 in winter 2021. The difference between our findings and those of (Tariq et al 2022 ) is that they analyzed the seasonal classification of UVAI based on (Arshad et al 2021 ) whereas we analyzed our results based on the classification used by (Tariq et al 2021 ). Javid et al ( 2018 ) determine a high concentration of aerosols in winter than in the summer season over Pakistan because air masses travel only a small distance in summer.…”

Section: Resultsmentioning

confidence: 95%

“…With Global and adequate spatial resolution, SRS is a useful technique for studying the Spatiotemporal distribution of absorbing aerosols. Because of unprecedented spatial and spectral resolution, ozone monitoring instrument (OMI) has been widely employed in the investigation of absorbing aerosols in recent years (Bilal et al 2021 ; Tariq et al 2022 ).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Variations in the aerosol index and its relationship with meteorological parameters over Pakistan using remote sensing

Khan

Tariq

Haq

2023

Environ Sci Pollut Res

Self Cite

View full text Add to dashboard Cite

Particulate pollution has become a major issue in developing countries including Pakistan. Aerosols are causing severe impacts on climate and human health. To understand the effects of aerosols on the environment and human health, we must first understand their optical and physical properties. In this paper, we used ozone monitoring instrument (OMI) retrieved ultraviolet aerosol index (UVAI) to analyze spatial and temporal distribution, annual and seasonal trends of absorbing aerosols, and their relationship with meteorological parameters (e.g., temperature, relative humidity, and wind speed) over Pakistan from October 2004 to December 2021. Significant spatiotemporal changes in UVAI values were found with high values in southern and central regions and low values in northern regions of Pakistan. The mean UVAI over Pakistan showed an increasing trend of 2.89% year −1 . Seasonally, UVAI increases at the rate of 3.97% winter −1 , 3.24% autumn −1 , 0.81% summer −1 , and 0.71% spring −1 . A strong positive correlation of UVAI with precipitation and temperature (~ 0.6) is observed in the central and southern regions of Pakistan. A negative and positive correlation of −0.3223 and 0.4284 of UVAI with CO 2 emissions and primary industry is observed in Pakistan, respectively. We also found potential sources of aerosols over major cities of Pakistan using the Hybrid Single Particle Langrangian Integrated Trajectory (HYSPLIT) model. It determines that the dominant aerosols over Karachi are natural aerosols like sea salt and dust particles and anthropogenic aerosols are dominant over Lahore. Moreover, the natural and anthropogenic factors influencing absorbing aerosols are also discussed herein. Considering the outcomes of this study different methods would be used to reduce the concentration of particulate pollution like afforestation, efficient fuel energy consumption, promotion of public transport networks, etc.

show abstract

Section: Resultssupporting

confidence: 94%

Section: Seasonal Distribution Of Absorbing Aerosolsmentioning

confidence: 68%

Section: Resultsmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Variations in the aerosol index and its relationship with meteorological parameters over Pakistan using remote sensing

Khan

Tariq

Haq

2023

Environ Sci Pollut Res

Self Cite

View full text Add to dashboard Cite

show abstract

“…Multiple studies have highlighted the relationship amid various socioeconomic variables, air pollution scenarios, GHG emissions, and meteorological parameters [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39]. For instance, Ref.…”

Section: Introductionmentioning

confidence: 99%

Financial Institutional and Market Deepening, and Environmental Quality Nexus: A Case Study in G-11 Economies Using CS-ARDL

Mehmood

Tariq

Haq

et al. 2022

IJERPH

Self Cite

View full text Add to dashboard Cite

This study presents a new insight into the dynamic relationship between financial institutional deepening (FID), financial deepening, financial market deepening (FMD), foreign direct investment (FDI), economic growth (GDP), population, and carbon dioxide emissions (CO2e) in the G-11 economies by employing a cross-sectionally augmented autoregressive distributed lag (CS-ARDL) approach during 1990–2019. The outcomes from the CS-ARDL and dynamic common correlated effects mean group (DCCEMG) models shows that financial deepening, GDP, FDI, and population degraded environmental quality both in the short run and the long run. Contrary to this, FID and FMD improves environmental quality in these countries. The government should work to maximize financial institutions (access, depth, efficiency) and financial markets (access, depth, efficiency) to reduce the CO2e. A strong positive and in-phase correlation of CO2e with economic growth and population is observed for G-11 countries. These results suggest policy makers should further improve financial institutions by creating opportunities for their populations. Moreover, the governments of G-11 countries should revise their foreign direct investment policies and attention should be given to import efficient means of energy production.

show abstract

An Investigation of the Ultraviolet Aerosol Index and Angstrom Exponent and Their Relationship with Meteorological Parameters over Nigeria Using Satellite Remote Sensing

Khan,

Tariq,

Ul Haq

2024

Pure Appl. Geophys.

View full text Add to dashboard Cite

Response of enhanced vegetation index changes to latent/sensible heat flux and precipitation over Pakistan using remote sensing

Cited by 9 publications

References 86 publications

Variations in the aerosol index and its relationship with meteorological parameters over Pakistan using remote sensing

Variations in the aerosol index and its relationship with meteorological parameters over Pakistan using remote sensing

Financial Institutional and Market Deepening, and Environmental Quality Nexus: A Case Study in G-11 Economies Using CS-ARDL

An Investigation of the Ultraviolet Aerosol Index and Angstrom Exponent and Their Relationship with Meteorological Parameters over Nigeria Using Satellite Remote Sensing

Contact Info

Product

Resources

About