Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/6213
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dc.contributor.authorGoyal, Manish Kumaren_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-21T10:45:54Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-21T10:45:54Z-
dc.date.issued2021-
dc.identifier.citationHinge, G., Surampalli, R. Y., Goyal, M. K., Gupta, B. B., & Chang, X. (2021). Soil carbon and its associate resilience using big data analytics: For food security and environmental management. Technological Forecasting and Social Change, 169 doi:10.1016/j.techfore.2021.120823en_US
dc.identifier.issn0040-1625-
dc.identifier.otherEID(2-s2.0-85105485893)-
dc.identifier.urihttps://doi.org/10.1016/j.techfore.2021.120823-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/6213-
dc.description.abstractSoils are a binding site for carbon storage. Climatic variables, namely precipitation, and temperature are regarded as the primary factors controlling soil organic carbon (SOC) storage; however, no consensus has been made about the magnitude and direction that changes in climatic variables may have on SOC. Based on copula theory, the present study investigates the soil carbon dynamics and the likelihood of SOC occurrence under varying climatic conditions across India's 14 agro-climatic zones. Results demonstrate the possibility of occurrence of SOC under both low and high temperature/precipitation conditions. It was found that the SOC of agro-climatic zones situated in semi-arid and arid regions are more sensitive to changes in climatic variables compared to that of the others. We then quantify the soil resilience of the agro-climatic zones based on the amount of SOC content. Results showed that only 1/3 of India's agro-climatic zones were resilient during the study period (1985–2005). Thus, the study's findings facilitate the identification of India's most sensitive agro-climatic zone for soil carbon management and climate-related policy. It stresses the need for big data assimilation to identify site-specific management practices that can facilitate soil health and improve the country's soil resilient capacity for food security and environmental management. © 2021en_US
dc.language.isoenen_US
dc.publisherElsevier Inc.en_US
dc.sourceTechnological Forecasting and Social Changeen_US
dc.subjectBig dataen_US
dc.subjectData Analyticsen_US
dc.subjectDigital storageen_US
dc.subjectEnvironmental managementen_US
dc.subjectFood supplyen_US
dc.subjectInformation managementen_US
dc.subjectSoilsen_US
dc.subjectBinding-sitesen_US
dc.subjectClimatic variablesen_US
dc.subjectClimatic zoneen_US
dc.subjectCopulaen_US
dc.subjectData analyticsen_US
dc.subjectFood securityen_US
dc.subjectResilienceen_US
dc.subjectSecurityen_US
dc.subjectSoil carbonen_US
dc.subjectSoil organic carbonen_US
dc.subjectOrganic carbonen_US
dc.subjectclimate variationen_US
dc.subjectdata seten_US
dc.subjectenvironmental managementen_US
dc.subjectfood securityen_US
dc.subjectorganic carbonen_US
dc.subjectsoil organic matteren_US
dc.titleSoil carbon and its associate resilience using big data analytics: For food Security and environmental managementen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Civil Engineering

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