Understanding the Chemistry and Sources of Precipitation Ions in the mid-Brahmaputra Valley of Northeastern India

Bhuyan, Pranamika; Ahmed, Md. Sahbaz; Hopke, Philip K.; Hoque, Raza Rafiqul

doi:10.4209/aaqr.2020.02.0072

Cited by 14 publications

(1 citation statement)

References 62 publications

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“…The dominance of Ca 2+ ions indicates the influence of mineral dust on rainwater chemistry. Being a marker of biomass burning, the occurrence of K + ion indicated the prevalence of biomass burning in the region 20 , 42 . Ca 2+ and Mg 2+ in precipitation show the influence of terrestrial sources, such as the dissolution of dolomites and limestones 10 – 12 , 41 .…”

Section: Resultsmentioning

confidence: 99%

Chemometric approach to evaluate the chemical behavior of rainwater at high altitude in Shaune Garang catchment, Western Himalaya

Kumar

Singh

et al. 2022

Sci Rep

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The present research has been performed to analyze the chemical behavior of rainwater of the Shaune Garang catchment (32.19° N, 78.20° E) in the Baspa basin, located at a high elevation (4221 m above mean sea level) in the Himachal Himalaya, India. During the study period, sixteen rainwater samples were collected from the Shaune Garang catchment at five different sites. The volume-weighted mean (VWM) pH value of rainwater ranged between 4.59 and 6.73, with an average value of 5.47 ± 0.69, indicating the alkaline nature of rainfall. The total ionic strength in the rainwater ranged from 113.4 to 263.3 µeq/l with an average value of 169.1 ± 40.4 µeq/l. The major dominant cations were Ca2+ (43.10%) and Na+ (31.97%) and anions were Cl− (37.68%), SO42− (28.71%) and NO3− (23.85%) in rainwater. The ionic ratios were calculated among all the ions. The fraction of (NO3− +Cl−) with SO42− was measured as 2.3, which specifies sour faces of rainwater due to HNO3, H2SO4, and HCl. A multivariate statistical assessment of rainwater chemistry through Principal Component Analysis (PCA) shows the significance of four factors controlling 78.37% of the total variance, including four-component (PC1 explained 27.89%, PC2 explained 24.98%, PC3 explained 14.64%, PC4 explained 10.85%). However, the individual contribution of Factor 1(PC1) explains 27.89% of the total variance (78.37%) and displays a strong optimistic loading for Ca2+ and Cl−. Further, high loading of Ca2+ and NO3− and moderate loading of SO42− signify the contribution of burning fossil fuel and soil dust. Anthropogenic and natural pollutants influence the composition of rainwater in the pristine Himalayas due to local and long-distance transportation. The study area receives precipitation from the West and North-West, transporting dust and fossil fuel emissions from the Thar Desert and Northwestern countries.

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Section: Resultsmentioning

confidence: 99%

Chemometric approach to evaluate the chemical behavior of rainwater at high altitude in Shaune Garang catchment, Western Himalaya

Kumar

Singh

et al. 2022

Sci Rep

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A Systematic Literature Review on Rainwater Quality Influenced by Atmospheric Conditions with a Focus on Bangladesh

Hossen,

Salauddin,

Badsha

2023

Environmental Science and Engineering

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Identify Primary Air Pollution Sources of BTEX by Using Positive Matrix Factorization (PMF): A Case Study of Ho Chi Minh City, Vietnam

Nguyễn¹,

Hoang²,

Nguyen³

et al. 2023

Arch Environ Contam Toxicol

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Understanding the Chemistry and Sources of Precipitation Ions in the mid-Brahmaputra Valley of Northeastern India

Abstract: The chemistry of rainwater over Mid-Brahmaputra Valley was studied for three consecutive years (2012-2014; n=285). The samples were analyzed for major chemical parameters viz. pH, electrical conductivity (EC), and ions (SO4 2

Cited by 14 publications

References 62 publications

Chemometric approach to evaluate the chemical behavior of rainwater at high altitude in Shaune Garang catchment, Western Himalaya

Chemometric approach to evaluate the chemical behavior of rainwater at high altitude in Shaune Garang catchment, Western Himalaya

A Systematic Literature Review on Rainwater Quality Influenced by Atmospheric Conditions with a Focus on Bangladesh

Identify Primary Air Pollution Sources of BTEX by Using Positive Matrix Factorization (PMF): A Case Study of Ho Chi Minh City, Vietnam

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