Geostatistical and Multivariate Analysis of Heavy Metal Pollution of Coal-mine Affected Agricultural Soils of North-eastern India

Reza, S. K.; Ray, S.K.; Nayak, D.C.; Singh, Surendra

doi:10.5958/0974-0228.2018.00003.8

Cited by 7 publications

(1 citation statement)

References 19 publications

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“…Ferrous ions (Fe 2+ ) get oxidized at pH greater than 3.5 to ferric ions (Fe 3+ ) and get precipitated on the surrounding substrates causing unstable microhabitats [ 73 ]. Pollution of natural environment induced by the variable distribution of these metals are indestructible and toxic to the living organisms [ 74 ]. The cumulative effect of higher and lower levels of these nutrients can be seen on the depleting vegetation in the region.…”

Section: Resultsmentioning

confidence: 99%

Spatial mapping of soil properties in Konkan region of India experiencing anthropogenic onslaught

et al. 2021

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Soils of Indian Konkan region, part of ecologically sensitive Western Ghats have been subjected to anthropogenic activities of late. This has endangered the ecological security through conspicuous losses in topsoil quality. The rationale of the present study was to map the soil properties and create management zones for ensuring food and nutritional security. The study was conducted in South Goa district of the state of Goa located in Konkan region. A total of 258 geo-referenced soil samples were collected and analyzed for pH, EC, SOC, available N, P, K and DTPA extractable micronutrients viz., Zn, Cu, Fe and Mn. Soil pH was found to be in acidic range. A wide variability existed in SOC content ranging from 0.12–5.85%. EC was mostly neutral with mean value 0.08±0.37 dSm-1, while available nitrogen (AN), available phosphorus (AP) and available potassium (AK) varied in range from 56.4–621.6 kg ha-1, 0.5–49.7 kg ha-1 and 31.5–786.2 kg ha-1 with mean values 211.2±76.9, 8.4±8.2 and 202.3±137.6 kg ha-1, respectively. A wide range was exhibited by cationic DTPA extractable Zn, Cu, Fe and Mn with mean values, 0.22±0.30, 0.44±0.60, 7.78±5.98 and 7.86±5.86 mg kg-1, respectively. Soil pH exhibited significant positive correlation with EC, AP AK and Zn and negative correlation with Fe and Cu. SOC exhibited significantly correlated with AN, AP, AK, Zn and Fe. Geo-statistical analysis revealed J-Bessel as best fit semivariogram model for pH, AP and AK; Rational Quadratic for EC, SOC, Zn and Mn; Hole effect for AN; Stable for Cu and K-Bessel for Fe for their spatial mapping. Four principal components showed eigenvalues more than one and cumulative variability of 59.38%. Three distinct soil management zones showing significant variation in soil properties were identified and delineated for wider scale management of soils. Precision nutrient management based on spatial variation and their mapping would enable refined agricultural and environmental management practices in the region.

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Section: Resultsmentioning

confidence: 99%