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RISS 인기검색어
- 검색키워드
- 저자 : Kousik Das (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
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Raj Kumar Bhattacharya,Nilanjana Das Chatterjee,Kousik Das 대한공간정보학회 2020 Spatial Information Research Vol.28 No.1
Several human activities like sand mining, dam construction have intensive effect on river ecosystem. Instream sand mining is one of them to hindrance on riverine biota. Hence, an attempt is made in this study to assess three tier habitat degradation or alteration caused by instream sand mining from channel bed to riparian and bank site in upper, middle and lower segments of Kangsabati River. Habitat Suitability Index (HSI) is applied to detect geo referenced ecological information on two different condition i.e. habitat suitability of two dominating species of Koeleria macrantha and Cynodon dactylon (pre mining) and degraded or altered habitat incorporated with mining responses (post mining). HSI prepared five different suitable class taken seven dominating variables i.e. river channel, sandchar, riparian zone, slope, elevation, dry and moist sand layer using multiple logistic regressions (MLR) under GIS platform. MLR denotes sandchar deposition, elevation as significant variables of Koeleriamacrantha dominance along the bank while moist sand layer, riparian zone signified on Cynodondactylon dominance across the riparian site. HSI indicates lowsuitable class of Koeleriamacrantha and Cynodondactylon dominated in largest sand mining area as lower (82%, 86%), middle (58%, 89%) and upper segment (77%, 78%) whereas largest mining area under two dominant species reaches low-suitable class as lower (79%, 58%), middle (89%, 82%) and upper segment (92%, 70%) respectively. In spite of variables influence on species dominance, massive sand mining leads to destroy the habitat suitability. Therefore, in situ habitat suitability of dominant species either degraded or altered throughout the channel.
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Analyzing risk factors for shrinkage and transformation of East Kolkata Wetland, India
Subrata Ghosh,Santanu Dinda,Nilanjana Das Chatterjee,Kousik Das 대한공간정보학회 2018 Spatial Information Research Vol.26 No.6
The East Kolkata Wetland, called the ‘kidney’ of city Kolkata has now become a significant issue for its gradual loss and modification of anthropogenic activities. A socioeconomic elucidation had been used in this article through the analysis using GIS and field observation. Changes of wetland area have been determined from 1991 to 2017 with Landsat images and accuracy assessment through ground truth verification. It is seen that loss of wetland from 1991 to 2001 was 23.55% where it was 7.34% in 2011 to 2017, mainly due to the result of land transformation for aquaculture activity. Hence, three phases of degradation have been observed in this study, these are: the phase of rapid degradation, the phase of controlled degradation and phase of transforming degraded. At the same time, it’s highlighted the loophole of management actions. A multi-criteria analysis technique with the analytic hierarchy process has been applied to determine the risk factors of wetland degradation and it is seen that expansion of built-up area, encroachment of cropland, the transformation of wetland into fishing ponds are responsible for wetland degradation. In the conclusion, it highlights the approaches of land developers and real estate agents in their wetland hunting process and emergence consequences on the environment as well as conserving approaches for sustainable management.
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Subrata Ghosh,Santanu Dinda,Nilanjana Das Chatterjee,Kousik Das,Riya Mahata 대한공간정보학회 2019 Spatial Information Research Vol.27 No.2
Dengue fever becomes one of the serious vectorborne diseases in the world, particularly in tropical countries. Mosquitoes borne disease transmission are mainly transpired by physical, environmental and socio-economic variables. Therefore, disease mapping is essential for monitoring, prediction, and prevention of dengue. Accordingly, the aims of this research are to find out the dengue outbreak, spatial pattern, understand the factors and construct a risk map to accurately predict and control of dengue. For this purpose, the Kharagpur city of West Bengal has been selected which is frequently encountered with the dengue outbreak. Epidemiological data were collected from the district health department. The spatial scan statistics of the Poisson model and Local Moran’s I is used for the mapping of spatial patterns and concentration of dengue and Monte Carlo hypothesis testing was applied to test the significance of the result. Therefore, multiple logistic regression analysis has been applied with selected parameters to produce a risk map for the entire study area. Finally, this study has proposed suitable site-specific management strategies. However, this study provides an example of disease risk estimation which will be remarkable for spatial analysis of epidemiological research as well as health planning and disease surveillance.
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