A study of floods in the Brahmaputra basin in India

Dhar, ON; Nandargi, Shobha

doi:10.1002/1097-0088(20000615)20:7<771::aid-joc518>3.0.co;2-z

Cited by 67 publications

(38 citation statements)

References 3 publications

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“…Nagaon and Morigaon are the most densely populated districts of the basin. A total of 57 flood events were reported in KRB by the Kampur and Dharamtul gauge/discharge stations during 1987-1998(Dhar and Nandargi 2000. The Great Assam Earthquake of 1950 had caused the bed levels uplifted, thereby large sediments were deposited on the river banks leading to overtopping of banks (Minakshi and Goswami 2014).…”

Section: Study Areamentioning

confidence: 99%

Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India

Roy

Chakravarthi

et al. 2017

Geomatics, Natural Hazards and Risk

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A multi-criteria analysis (MCA) approach to describe the effective utilization of geospatial techniques for disaster risk reduction at village level in Kopili River Basin (KRB) of Assam State, India is presented. The KRB is chronically flood affected due to seasonal monsoon and rise in water levels of Kopili River. Based on the MCA approach using flood hazard layer derived from the spatio-multi-temporal historic satellite data-sets (comprising of sensors from RISAT-1 SAR, Radarsat SAR and IRS AWiFS), socio-economic data (based on five census variables), infrastructure (road network) and land use vulnerabilities (cropped and uncropped areas), flood risk zones are derived. Our study elucidates that 24,837 ha of crop area spread across 95 villages in the KRB falls in high risk zone, about 39,209 ha distributed in 150 villages falls under moderate-high risk zones and remaining area spread over 162 villages is more or less unaffected. The proposed approach can be applied elsewhere in other river basins to estimate the flood risk so as to mitigate the disaster risk posed by the floods.

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Section: Study Areamentioning

confidence: 99%

Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India

Roy

Chakravarthi

et al. 2017

Geomatics, Natural Hazards and Risk

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“…The rainfall over the southern slopes of the Meghalaya Hills is thus very important in the flood processes noted in Bangladesh (Hofer and Messerli 2006;Murata et al 2008). Dhar and Nandargi (2000) also include the northeast as being among the flood-prone areas in which the majority of floods in India occur.…”

Section: Introductionmentioning

confidence: 99%

Variation in the orographic extreme rain events over the Meghalaya Hills in northeast India in the two halves of the twentieth century

Prokop

Walanus

2014

Theor Appl Climatol

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The daily rainfall data for the twentieth century, from three stations across the region, constitute the basis for statistical analysis. However, the low signal-to-noise ratio makes it difficult to find any significant departure from the simplest null hypothesis of the stability of the rain record at individual stations in northeast India. Only the coarsest possible view, i.e. comparing the two halves of the century, provided strongly significant results in the numbers of days with extreme rain. Using a more general approach, the number of Fourier transform extreme amplitudes also differed significantly. Increasingly heavy events during the summer monsoon season, and partly in the pre-and post-monsoon seasons, are offset by a weakening in the winter monsoon season, so that the annual mean rainfall does not show a significant trend over the Meghalaya Hills. Apart from a greater number of years with noticeable extreme rainfall events in the second half of the twentieth century, we can also observe a more pronounced quasi-periodicity of 10-20 and 30-60 days during the same period. The detection of the latter periodicity indicates that the Madden-Julian oscillation plays an important role in the formation of extreme rainfall events over the Meghalaya Hills during extreme monsoon years.

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“…The physical and socioeconomic impacts of disaster are complex, depending upon the vulnerability of the place of occurrence as well as the mitigation strategies [2]. The vulnerability of the people to the extreme weather events seems to be increasing every year in terms of change in intensity and frequency [3,4], that adversely affecting human beings and their interaction with different urban ecosystems [5][6][7][8][9][10][11]. Therefore, the studies related to climatic change and extreme weather events have received increased attention in the last few years.…”

Section: Introductionmentioning

confidence: 99%

Six Years Major Historical Urban Floods in West Bengal State in India: Comparative Analysis Using Neuro-Genetic Model

Samal¹,

Roy²,

Majumadar³

et al. 2014

AJWR

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An estimated 96 percent of deaths related to natural disasters in the past decade occurred in developing countries. Flooding is one of the greatest water-related environmental disasters and is the major concern in West Bengal state in India. The number of people vulnerable to devastating floods is expected to rise due to large-scale urbanization, population growth in flood-prone areas, land use changes, climate change and rising sea levels apart from its contributions to the biodiversity and sustainability of ecosystems and to many human activities. New disaster risk reduction approaches are needed to build the necessary capacity to address these challenges. Based on this context, an investigation is made in the state of West Bengal in India over six years of extreme rainfall event highlighting the flooding situation interlinked with the structural and non-structural measures and its management strategy. West Bengal State experience heavy precipitation particularly in the months of September and October consequently upon low pressure/depressions developed in the Bay of Bengal during the years 1956, 1959, 1978, 1995, 1999 and 2000, which faced such worst type of rainfall and the year 2000 may be designated as the year of the worst precipitation in terms of quantum, intensity and duration. Lack of control structures coupled with very high discharge in the rivers during the year 2000 resulted in prolonged agony for a large number of people within the state. It is also attempted to develop a neuro-genetic models to identify the relationship between return period and extreme rainfall event.

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A study of floods in the Brahmaputra basin in India

Cited by 67 publications

References 3 publications

Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India

Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India

Variation in the orographic extreme rain events over the Meghalaya Hills in northeast India in the two halves of the twentieth century

Six Years Major Historical Urban Floods in West Bengal State in India: Comparative Analysis Using Neuro-Genetic Model

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