Analysis of eve-teasing potential zones using geospatial technologies and AHP: a study in Midnapore town, West Bengal, India

Assessment of Potential Marine Fishing Zone Using Geospatial Technologies at the Coastal Stretch of West Bengal, India

Geospatial Infrastructure, Applications and Technologies: India Case Studies ◽

10.1007/978-981-13-2330-0_28 ◽

2018 ◽

pp. 385-399 ◽

Cited By ~ 1

Author(s):

B. C. Patra ◽

M. Bhattacharya ◽

A. Kar ◽

B. K. Das ◽

P. K. Shit

Keyword(s):

West Bengal ◽

Geospatial Technologies ◽

Marine Fishing

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Community-Based Disaster Preparedness in West Bengal

Prehospital and Disaster Medicine ◽

10.1017/s1049023x00009250 ◽

2002 ◽

Vol 17 (S2) ◽

pp. S15-S16

Author(s):

Tarak Banerjee

Keyword(s):

Disaster Preparedness ◽

West Bengal ◽

Community Based

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An investigation on in vitro propagation of Colchicum luteum and its evaluation of colchicine for the economic benefit of rural people in West Bengal

Planta Medica ◽

10.1055/s-2007-987405 ◽

2007 ◽

Vol 73 (09) ◽

Author(s):

M Gangopadhyay ◽

R Bhattacharya ◽

D Chakraborty ◽

S Bhattacharya ◽

A Mitra ◽

...

Keyword(s):

Economic Benefit ◽

In Vitro Propagation ◽

West Bengal ◽

Rural People

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DECENTRALIZATION OF WATER RESOURCE MANAGEMENT: ISSUES AND PERSPECTIVES INVOLVING PRIVATE AND COMMUNITY INITIATIVES IN DARJEELING TOWN, WEST BENGAL

ANNALS OF THE NATIONAL ASSOCIATION OF GEOGRAPHERS INDIA ◽

10.32381/atnagi.2019.39.02.6 ◽

2019 ◽

Vol 39 (2) ◽

pp. 240-255

Author(s):

ASHISH CHHETRI ◽

◽

LAKPA TAMANG ◽

Keyword(s):

Resource Management ◽

Water Resource ◽

Water Resource Management ◽

West Bengal ◽

Community Initiatives ◽

Management Issues

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Impact of Eve Teasing on Men and Women in Bangalore: A Phenomenological Exploration

JOURNAL OF PSYCHOSOCIAL RESEARCH ◽

10.32381/jpr.2019.14.01.11 ◽

2019 ◽

Vol 14 (1) ◽

pp. 103-111

Author(s):

Aakhansha Varghese ◽

◽

Neha Parashar ◽

Keyword(s):

Men And Women ◽

Eve Teasing ◽

Phenomenological Exploration

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NUTRITIONAL QUALITY OF FRESHWATER FISHES AND ITS IMPORTANCE ON REGULATION OF NUTRITIONAL STATUS OF LOCAL FISHERMEN COMMUNITY OF MURSHIDABAD DISTRICT, WEST BENGAL, INDIA: A FIELD STUDY

JOURNAL OF AQUACULTURE IN THE TROPICS ◽

10.32381/jat.2018.33.1-2.1 ◽

2018 ◽

Vol 33 (1-2) ◽

pp. 1-10

Author(s):

SOUMIMA CHATTORAJ ◽

◽

KAUSIK MONDAL ◽

Keyword(s):

Nutritional Status ◽

Field Study ◽

Nutritional Quality ◽

West Bengal ◽

Freshwater Fishes

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Forecasting of Summer Monsoon Rainfall over Gangetic West Bengal, India Utilising Intrinsic Mode Functions, Linear and Neural Regression

Journal of Modeling and Optimization ◽

10.32732/jmo.2020.12.1.60 ◽

2020 ◽

Vol 12 (1) ◽

pp. 60-69 ◽

Cited By ~ 1

Author(s):

Pijush Basak

Keyword(s):

Neural Network ◽

West Bengal ◽

Monsoon Rainfall ◽

Linear Part ◽

Intrinsic Mode Functions ◽

Quasi Biennial Oscillation ◽

Nonlinear Part ◽

South West ◽

South West Monsoon ◽

West Monsoon

The South West Monsoon rainfall data of the meteorological subdivision number 6 of India enclosing Gangetic West Bengal is shown to be decomposable into eight empirical time series, namely Intrinsic Mode Functions. This leads one to identify the first empirical mode as a nonlinear part and the remaining modes as the linear part of the data. The nonlinear part is modeled with the technique Neural Network based Generalized Regression Neural Network model technique whereas the linear part is sensibly modeled through simple regression method. The different Intrinsic modes as verified are well connected with relevant atmospheric features, namely, El Nino, Quasi-biennial Oscillation, Sunspot cycle and others. It is observed that the proposed model explains around 75% of inter annual variability (IAV) of the rainfall series of Gangetic West Bengal. The model is efficient in statistical forecasting of South West Monsoon rainfall in the region as verified from independent part of the real data. The statistical forecasts of SWM rainfall for GWB for the years 2012 and 2013 are108.71 cm and 126.21 cm respectively, where as corresponding to the actual rainfall of 93.19 cm 115.20 cm respectively which are within one standard deviation of mean rainfall.

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