Dipjyoti Chetia | Gauhati University (original) (raw)
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Papers by Dipjyoti Chetia
caesjournals.org
Availability of high resolution satellite data and advancement in Geographic Information System (... more Availability of high resolution satellite data and advancement in Geographic Information System (GIS) together with GPS technology has provided powerful modern tools for large scale mapping, geospatial data analysis and integration enabling development of effective decision support system. Here we present a case study of ground water resource mapping in Guwahati city, Assam using these tools. It results in a fivefold prospect zoning of the city viz., very good, good, moderate, poor and very poor with different yield potential as estimated from aquifer characteristics and dugwell data.
caesjournals.org
Landslide is one of the major geoenvironmental hazards causing damage to life and property every ... more Landslide is one of the major geoenvironmental hazards causing damage to life and property every year in and around the Guwahati city. Apart from natural causes, the anthropogenic factors are contributing to the enhanced frequency and intensity of most of the recent landslides. However, a reliable inventory of present and past landslides and hazard zonation map for the city is still lacking. Landslide susceptibility zoning can help in mitigating this natural disaster and contribute towards sustainable development planning. The present study is carried out to prepare a landslide susceptibility map of the Guwahati city using Analytic Hierarchy Process (AHP) and Geographic Information System (GIS). Five probable causal factors that triggered the past landslides are used for pair-wise comparison and construction of matrices as required in the AHP. Landslide susceptibility index (LSI) was used in GIS environment to prepare a landslide susceptibility map of Guwahati city. The statistics shows that 11.1% of the study area falls in high susceptibility zone, 5.89% area falls in moderate susceptibility zone and 83.01% area falls in low to very low susceptibility zone. The past landslide locations are overlaid on the output map which shows that ~71% of the past landslides are from the high susceptibility zone and ~26% are from the moderate susceptibility zone.
caesjournals.org
Availability of high resolution satellite data and advancement in Geographic Information System (... more Availability of high resolution satellite data and advancement in Geographic Information System (GIS) together with GPS technology has provided powerful modern tools for large scale mapping, geospatial data analysis and integration enabling development of effective decision support system. Here we present a case study of ground water resource mapping in Guwahati city, Assam using these tools. It results in a fivefold prospect zoning of the city viz., very good, good, moderate, poor and very poor with different yield potential as estimated from aquifer characteristics and dugwell data.
caesjournals.org
Landslide is one of the major geoenvironmental hazards causing damage to life and property every ... more Landslide is one of the major geoenvironmental hazards causing damage to life and property every year in and around the Guwahati city. Apart from natural causes, the anthropogenic factors are contributing to the enhanced frequency and intensity of most of the recent landslides. However, a reliable inventory of present and past landslides and hazard zonation map for the city is still lacking. Landslide susceptibility zoning can help in mitigating this natural disaster and contribute towards sustainable development planning. The present study is carried out to prepare a landslide susceptibility map of the Guwahati city using Analytic Hierarchy Process (AHP) and Geographic Information System (GIS). Five probable causal factors that triggered the past landslides are used for pair-wise comparison and construction of matrices as required in the AHP. Landslide susceptibility index (LSI) was used in GIS environment to prepare a landslide susceptibility map of Guwahati city. The statistics shows that 11.1% of the study area falls in high susceptibility zone, 5.89% area falls in moderate susceptibility zone and 83.01% area falls in low to very low susceptibility zone. The past landslide locations are overlaid on the output map which shows that ~71% of the past landslides are from the high susceptibility zone and ~26% are from the moderate susceptibility zone.