Assessment of heavy metal status and identification of source in soils under intensive vegetable growing areas of Brahmaputra valley, North East India

Dutta, Namita; Dutta, S. K.; Bhupenchandra, Ingudam; Karmakar, Rajib; Das, K.N.; Singh, Laishram Kanta; Bordoloi, Anshuman; Sarmah, Trishna

doi:10.1007/s10661-021-09168-x

Cited by 11 publications

(13 citation statements)

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“…The pollution index (PI) is the ratio of the heavy metal content in the soil sample being tested to the metal's natural background concentration (Dutta et al 2021). It's commonly expressed as the percentage of the sample's metal content that exceeds that of the reference (unpolluted reference) material (Sarkar et al, 2011).…”

Section: Pollution Index (Pi)mentioning

confidence: 99%

“…Because it takes the mean of all measured pollution index (PI), and the integrated pollution index (IPI) provides a thorough assessment of the soil's overall pollution state (Dutta et al 2021). Eq.…”

Section: Integrated Pollution Index (Ipi)mentioning

confidence: 99%

“…This can be a valuable indicator of pollution levels and impacts on the environment (Devi et al 2019), which can signi cantly impact plant productivity, particularly tree biomass stocking potential (Siddiqui et al 2020). Metal deposition in many components of the environment, including soils, water, wetlands, and air, is of global concern today (Shi et al 2019;Adimalla 2020;Dutta et al 2021). Metal pollutants, such as nickel (Ni), iron (Fe), manganese (Mn), zinc (Zn), copper (Cu), chromium (Cr), arsenic (As), mercury (Hg), lead (Pb), and cadmium (Cd), has become a serious global concern (Carvalho et al 2020;Singh et al 2020).…”

Section: Introductionmentioning

confidence: 99%

“…where C n is the element's measured concentration in soil and B n is the local natural background value. Each metal pollutant was classed as: (i) low (if PI ≤ 1.0); (ii) medium (if 1.0 < PI ≤ 3.0) and (iii) high (if PI > 3.0),(Singh et al 2015;Dutta et al 2021). …”

mentioning

confidence: 99%

“…; Adhikari and Bhattacharyya 2015;Borah et al 2018;Dutta et al 2021). RI values were categorized into four classes: (i) low ecological risk (if RI < 180); (ii) moderate ecological risk (if 150 ≤ RI < 300); (iii) considerable ecological risk (if 300 ≤ RI < 600); and (iv) very high ecological risk (if RI ≥ 600).According toHakanson (1980), E i' s potential ecological risk was divided into ve categories: (i) low potential ecological risk (if E < 40); (ii) moderate potential ecological risk (if 40 ≤ E < 80); (iii) considerable potential ecological risk (if 80 ≤ E < 160); (iv) high potential ecological risk (if 160 ≤ E < 320); and (v) very high potential ecological risk (if E ≥ 320).…”

mentioning

confidence: 99%

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Heavy Metal Contamination in Forest Reserved Soils Crossed by Roads, its Ecological Risks, and their Effects on Tree Biomass Stocking Potential

Malunguja

Thakur

Devi

2021

Preprint

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Metal contaminants such as Cadmium, Chromium, Nickel, and Lead are released and deposited in Reserved Forest soils as a result of heavily travelled roads. Their pollution interrupts the biogeochemical cycle in the natural environment, affecting plant productivity. However, this pollution's source, their ecological risks, and its effects on tree biomass productivity have yet to be examined. In order to examine this, an ecological study was conducted in two Assam Reserved Forests that are crossed by the National Highway (NH-15). Several ecological risk indices were used to assess potential ecological risks. Metal impacts on tree biomass stocks were predicted using regression analysis and Pearson's coefficient. The results showed that metal concentrations in soil samples collected near roads were much higher than those away from roads. However, the overall mean concentration was within the Indian guidelines. Indices of soil contaminations and pollutions ranged from mildly contaminated to highly contaminated and from low polluted to highly polluted soils. The Cd (88.97%), and Pb (52.61%) were revealed to be highly the main contaminating and sources of pollution and ecological danger in the surface soils. The strongest Pearson correlation coefficients between Cd-Cr (94%), Cd-Ni (74%), Cd-Pb (97%), Cr-Ni (88%), Cr-Pb (90%), and Ni-Pb (76%) suggest that metals are very comparable. While the strong negative relationships between tree biomass stock and metals, implying that metals are vital factors affecting tree biomass productivity. Thus, conservationists, ecologists, and policymakers must devise effective mitigation strategies for vehicular emission and car discharge caused by traffic passing through reserved forests.

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Section: Pollution Index (Pi)mentioning

confidence: 99%

Section: Integrated Pollution Index (Ipi)mentioning

confidence: 99%