Relevant bibliographies by topics / NCT DELHI AND SPATIAL DISTRIBUTION

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Academic literature on the topic 'NCT DELHI AND SPATIAL DISTRIBUTION'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "NCT DELHI AND SPATIAL DISTRIBUTION"

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Singh, Parul, Sudha Ravindranath, Vidya A, and K. Ganesha Raj. "Understanding the Vegetation Dynamics of NCT- Delhi Using Remote Sensing." Journal of Geomatics 16, no. 2 (October 31, 2022): 234–46. http://dx.doi.org/10.58825/jog.2022.16.2.53.

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Urban vegetation is a crucial ecosystem component that keeps the environment in check. The existence of a well-distributed vegetation cover helps to ensure the city's long-term sustainability and aesthetic appeal. Rapid urban expansion has direct and indirect effects on vegetation growth and its distribution. This paper studied the vegetation cover dynamics using remotely sensed Landsat series datasets in the National Capital Territory (NCT) of Delhi. The study examined the vegetation change over 28 years and observed a reduction of about 15% due to rapid urbanization. This work studied the prominent Green Spaces (GS) in NCT- Delhi and highlighted their significance. The study also investigated the district-wise change in the vegetation cover. The vegetation mapping of the region can be utilized as a tool for integrated spatial planning to address urban challenges like air pollution, reducing the effects of urban heat islands, and public health improvement.
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Kumar Chandra Gupta, A., P. Kumar, and P. Kumar Sharma. "DEVELOPMENT OF GEOSPATIAL MAP BASED PORTAL FOR NEW DELHI MUNICIPAL COUNCIL." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 12, 2017): 45–48. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-45-2017.

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The Geospatial Delhi Limited (GSDL), a Govt. of NCT of Delhi Company formed in order to provide the geospatial information of National Capital Territory of Delhi (NCTD) to the Government of National Capital Territory of Delhi (GNCTD) and its organs such as DDA, MCD, DJB, State Election Department, DMRC etc., for the benefit of all citizens of Government of National Capital Territory of Delhi (GNCTD). <br><br> This paper describes the development of Geospatial Map based Portal (GMP) for New Delhi Municipal Council (NDMC) of NCT of Delhi. The GMP has been developed as a map based spatial decision support system (SDSS) for planning and development of NDMC area to the NDMC department and It’s heaving the inbuilt information searching tools (identifying of location, nearest utilities locations, distance measurement etc.) for the citizens of NCTD. The GMP is based on Client-Server architecture model. It has been developed using Arc GIS Server 10.0 with .NET (pronounced dot net) technology. The GMP is scalable to enterprise SDSS with enterprise Geo Database &amp; Virtual Private Network (VPN) connectivity. <br><br> Spatial data to GMP includes Circle, Division, Sub-division boundaries of department pertaining to New Delhi Municipal Council, Parcels of residential, commercial, and government buildings, basic amenities (Police Stations, Hospitals, Schools, Banks, ATMs and Fire Stations etc.), Over-ground and Underground utility network lines, Roads, Railway features. GMP could help achieve not only the desired transparency and easiness in planning process but also facilitates through efficient &amp; effective tools for development and management of MCD area. It enables a faster response to the changing ground realities in the development planning, owing to its in-built scientific approach and open-ended design.
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Kumar Chandra Gupta, A., P. Kumar, and N. Vasanth Kumar. "Development of Geospatial Map Based Election Portal." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 1149–52. http://dx.doi.org/10.5194/isprsarchives-xl-8-1149-2014.

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The Geospatial Delhi Limited (GSDL), a Govt. of NCT of Delhi Company formed in order to provide the geospatial information of National Capital Territory of Delhi (NCTD) to the Government of National Capital Territory of Delhi (GNCTD) and its organs such as DDA, MCD, DJB, State Election Department, DMRC etc., for the benefit of all citizens of Government of National Capital Territory of Delhi (GNCTD). <br><br> This paper describes the development of Geospatial Map based Election portal (GMEP) of NCT of Delhi. The portal has been developed as a map based spatial decision support system (SDSS) for pertain to planning and management of Department of Chief Electoral Officer, and as an election related information searching tools (Polling Station, Assembly and parliamentary constituency etc.,) for the citizens of NCTD. The GMEP is based on Client-Server architecture model. It has been developed using ArcGIS Server 10.0 with J2EE front-end on Microsoft Windows environment. The GMEP is scalable to enterprise SDSS with enterprise Geo Database & Virtual Private Network (VPN) connectivity. <br><br> Spatial data to GMEP includes delimited precinct area boundaries of Voters Area of Polling stations, Assembly Constituency, Parliamentary Constituency, Election District, Landmark locations of Polling Stations & basic amenities (Police Stations, Hospitals, Schools and Fire Stations etc.). GMEP could help achieve not only the desired transparency and easiness in planning process but also facilitates through efficient & effective tools for management of elections. It enables a faster response to the changing ground realities in the development planning, owing to its in-built scientific approach and open-ended design.
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Kumar Chandra Gupta, A., P. Kumar, and P. Kumar Sharma. "DEVELOPMENT OF GEOSPATIAL MAP BASED PORTAL FOR DELIMITATION OF MCD WARDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 12, 2017): 49–52. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-49-2017.

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The Geospatial Delhi Limited (GSDL), a Govt. of NCT of Delhi Company formed in order to provide the geospatial information of National Capital Territory of Delhi (NCTD) to the Government of National Capital Territory of Delhi (GNCTD) and its organs such as DDA, MCD, DJB, State Election Department, DMRC etc., for the benefit of all citizens of Government of National Capital Territory of Delhi (GNCTD). <br><br> This paper describes the development of Geospatial Map based Portal for Delimitation of MCD Wards (GMPDW) and election of 3 Municipal Corporations of NCT of Delhi. The portal has been developed as a map based spatial decision support system (SDSS) for delimitation of MCD Wards and draw of peripheral wards boundaries to planning and management of MCD Election process of State Election Commission, and as an MCD election related information searching tools (Polling Station, MCD Wards and Assembly constituency etc.,) for the citizens of NCTD. The GMPDW is based on Client-Server architecture model. It has been developed using Arc GIS Server 10.0 with .NET (pronounced dot net) technology. The GMPDW is scalable to enterprise SDSS with enterprise Geo Database &amp; Virtual Private Network (VPN) connectivity. <br><br> Spatial data to GMPDW includes Enumeration Block (EB) and Enumeration Blocks Group (EBG) boundaries of Citizens of Delhi, Assembly Constituency, Parliamentary Constituency, Election District, Landmark locations of Polling Stations &amp; basic amenities (Police Stations, Hospitals, Schools and Fire Stations etc.). GMPDW could help achieve not only the desired transparency and easiness in planning process but also facilitates through efficient &amp; effective tools for management of MCD election. It enables a faster response to the changing ground realities in the development planning, owing to its in-built scientific approach and open-ended design.
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Singh, Sheilja, and Rabidyuti Biswas. "Analysis of Land Use Change Effects/Impacts on Surface Water Resources in Delhi." Urban Science 6, no. 4 (December 7, 2022): 92. http://dx.doi.org/10.3390/urbansci6040092.

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Rapid urbanization and haphazard development derive the changes in land uses and affect the naturally available resources which are essential for human development and other lives. Land use changes can undermine the environment and ecology of an urban area. Although many studies on the land use changes, trends, status, directions, and the relationship between them have been conducted for Chinese cities, none of them have been completed for Indian cities and also not for NCT Delhi. The aim of the study is to analyze the impact of land use changes on surface water resources. So, this study aims to analyze the effects of land use changes on surface water resources in NCT Delhi, one water-stressed city in India. The analysis is comprised of changes, trends, status, and directions for surface water resources and other types of land use for showing the effects. Comprehensive tools such as remote sensing, GIS, and the cross-tabulation method are used for the assessment of land use changes, trends, and status. Four decadal (1990, 2000, 2010, 2020) satellite maps have been used to study the temporal-spatial data of several land uses and to calculate the index of land use changes for investigating the trends and status. In the form of results, the comprehensive net change (18.28%) and total change (49.28%) with a trend value of 0.37 show the quasi-balanced, two-way transition and positive changes in the whole area. This metrics-based study shows that surface water resources land use type is decreasing, and built-up land use type is increasing since 1990. Population growth, economic and industrial development were the major factors for the variations in built-up, green, and other land uses. This metrics-based analysis study is an important perspective for protecting urban water bodies from effects of land use changes. These understandings on land use changes and temporal-spatial relationships are important for present and future land use development and surface water resource planning. This study will help the Delhi Government’s initiatives for the rejuvenation of urban water bodies by endorsing the land use regulations on surrounding land uses.
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MOOLEY, D. A. "Rainfall distribution over Delhi State during monsoon." MAUSAM 10, no. 1 (November 27, 2021): 57–66. http://dx.doi.org/10.54302/mausam.v10i1.4026.

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Based on the data for the period 1939-1954, the mean values of rainfall and number of rainy days during the, monsoon season at the various raingauge stations as well as the extreme values of these have been given; spatial distribution of heavy, rainfall over the State and the incidence of heavy rainfall at the various location have been studied. From a study of the synoptic charts on days prior to the days on which local heavy rainfall over was reported, an attempt has been made to indicate the topical synoptic situations which usually lead to local heavy rainfall over Delhi State during the next 24hours.Typical situation ‘have been illustrated by charts.
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Upadhyay, Abhishek. "Investigation of Performance Indicator for Public Transit Connectivity in Multi-Modal Transportation Network of NCT Delhi." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 31, 2021): 3181–96. http://dx.doi.org/10.22214/ijraset.2021.37046.

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Centrality plays a crucial role as agencies at the federal and state level focus on expanding the public transit system to meet the demands of a multimodal transportation system. Transit agencies have a need to explore mechanisms to improve connectivity by improving transit service. This requires a systemic approach to develop measures that can prioritize the allocation of funding to locations that provide greater connectivity, or in some cases direct funding towards underperforming areas. The concept of centrality is well documented in social network literature and to some extent, transportation engineering literature. However, centrality measures have limited capability to analyze multi-modal public transportation systems which are much more complex in nature than highway networks. In my study area, we propose measures to determine Network centrality from a QGIS SOFTWARE which is based on graph theoretic approach for all levels of transit service coverage integrating routes, schedules, socioeconomic, demographic and spatial activity patterns. The objective of using Network centrality as an indicator is to quantify and evaluate transit service in terms of prioritizing transit locations for funding; providing service delivery strategies, especially for areas with large multi-jurisdictional, multi-modal transit networks; providing an indicator of multi-level transit capacity for planning purposes; assessing the effectiveness and efficiency for node/stop prioritization; and making a user friendly tool to determine locations with highest connectivity while choosing transit as a mode of travel. The proposed analysis offers reliable indicators that can be used as tools for determining the transit connectivity of a multimodal transportation network.
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CHATTERJEE, R. N., and PREM PRAKASH. "Radar study of the understorms around Delhi During monsoon season." MAUSAM 41, no. 2 (February 22, 2022): 18–22. http://dx.doi.org/10.54302/mausam.v41i2.2511.

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Frequency of thunderstorm development in Delhi region during the monsoon season and some of their general characteristics have been studied using the radar observations of convective clouds within 100 km around Delhi made during the monsoon season of the S-year period from I965to 1972. For this purpose convective clouds whose radar echo tops reached or extended beyond 8 km have been considered as thunder clouds. The study revealed that about 34 per cent of the convective clouds; forming in and round Delhi develop into I thunder-storms. Height distribution of the storm cells and spatial distribution of storm echoes are also discussed.
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Bhardwaj, Purnima, Alok Pandey, Krishan Kumar, and V. K. Jain. "Spatial variation of Aerosol Optical Depth and Solar Irradiance over Delhi -NCR during Summer season." Current World Environment 12, no. 2 (August 25, 2017): 389–95. http://dx.doi.org/10.12944/cwe.12.2.22.

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Present study shows the spatial variation of Aerosol Optical Depth (AOD), solar irradiance and their association at the urban and rural sites in Delhi and National Capital Region (NCR) during the summer season of the year 2015. Summer-time AOD data from the NASA’s Terra satellite MODIS sensor has been used to study the spatial distribution of aerosols over Delhi and its surrounding rural area. The ground data for the direct and global solar irradiances was collected over this region at urban and rural locations in Delhi and NCR using a Fieldspec Spectro-radiometer. HYSPLIT model has been used for the air mass trajectory analysis. The AOD values were observed to be higher over Delhi compared to the relatively lower AOD in rural area of NCR. The NCR site observed higher average solar irradiances than Delhi during the summer season. This may be because of the higher aerosol concentration in Delhi as compared to its outskirts. Also, this region is affected by the severe dust storm events during the summer season which further increases the aerosol load in the atmosphere. HYSPLIT results show the influence of western Thar Desert air masses on the Delhi-NCR. Windblown as well anthropogenic aerosols play a major role in scattering and absorption of the incoming solar radiation and hence, in governing the micro-climatology of the region.
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Das, Rabin, and Goutam Das. "ARS-GIS based Spatial Analysis and Assessment on the Urban Growth of Delhi National Capital Territory (NCT) from 1977 to 2014." IOSR Journal of Humanities and Social Science 22, no. 06 (June 2017): 103–23. http://dx.doi.org/10.9790/0837-220611103123.

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Dissertations / Theses on the topic "NCT DELHI AND SPATIAL DISTRIBUTION"

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RAGHAV, AYUSHI. "ASSESSMENT AND INDEXING OF GROUNDWATER QUALITY OF DELHI, INDIA USING GIS." Thesis, 2020. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18175.

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Ground water is a fundamental and crucial segment of our life supportive network. The ground water assets are being used for drinking, water system and mechanical purposes. There is developing worry on decaying of ground water quality due to “geogenic” and anthropogenic activities. The present study evaluates the groundwater quality of National Capital Territory (NCT) Delhi with respect to drinking and irrigation purpose using Geographic Information System (GIS). The Water Quality Index (WQI) of the groundwater for drinking purposed is also calculated in this work. The data used in this work was collected from CGWB WRIS for the years 2010 and 2015 for twenty-eight locations in the study area. The drinking water quality has been defined using the parameters such as pH, total alkalinity, total hardness, calcium content, nitrate content etc. while irrigation water quality has been defined using the parameters as sodium absorption ratio, salinity hazard , permeability index etc. Spatial distribution maps of these parameter have been generated using QGIS (version 3.10.2). It was observed that in majority of study area the overall concentration of pH, magnesium, potassium, sodium, chloride, fluoride and sulphate in groundwater had been increased over the span of five years from 2010 to 2015.While overall concentration of total hardness, total alkalinity, nitrate and calcium in groundwater had been decreased over the span of five years from 2010 to 2015. Irrigation water quality of majority of the areas was lying under “excellent” to “good” quality category. About 67.8% of the area in 2010 and 78.6% of the area in 2015 under the study comes under “poor” to “unsuitable for drinking category” as revealed by the WQI studies. It can be concluded that overall quality of groundwater of Delhi had been deteriorated from 2010 to 2015. The reasons for this might include increase in population, v over-exploitation of groundwater resources, urbanization and industrialization on large scale.
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Book chapters on the topic "NCT DELHI AND SPATIAL DISTRIBUTION"

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Munshi, Talat, Zia-ul-Haque, and Yogi Joseph. "Examining Equity in Spatial Distribution of Recreational and Social Infrastructure in Delhi." In Marginalization in Globalizing Delhi: Issues of Land, Livelihoods and Health, 97–113. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-3583-5_6.

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Verma, Priyanka, and Pamposh. "Spatial Distribution of Reactive Nitrogen in Najafgarh Lake and Adjoining Canal, Delhi." In Sustainable Climate Action and Water Management, 101–12. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8237-0_8.

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Ahmed, Anish, Chitralekha Das, Saumya Srivastava, and Sunaina Singh. "GIS-based spatial distribution analysis of water quality assessment using water pollution index of Yamuna river at Delhi." In Water, Land, and Forest Susceptibility and Sustainability, 171–208. Elsevier, 2023. http://dx.doi.org/10.1016/b978-0-323-91880-0.00018-0.

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Said, Saif, Athar Hussain, and Garima Sharma. "Water Quality Mapping of Yamuna River Stretch Passing Through Delhi State Using High Resolution Geoeye-2 Imagery." In Geospatial Intelligence, 1320–33. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8054-6.ch057.

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The present article utilizes high resolution Geoeye 2 imagery for mapping and monitoring pollution concentrations of 22 km stretch of river Yamuna passing through Delhi state, by developing regression models between water quality parameters (WQP's) and the corresponding spectral reflectance values. Water samples collected from the sampling locations were analysed for 20 WQP's and grouped into four classes namely; (WQP)organic, (WQP)inorganic, (WQP)anion and (WQP)cation. Several spectral band combinations as well as single bands were probed for performing multiple linear regression (MLR) analysis with the four WQP classes. Results reveal relatively strong positive correlations for band combination viz. [mean RGB × √B/R] with all four WQP classes yielding high R2 value (∼0.85) and RMSE (∼1.03) amongst other selected band combinations. Spatial distribution maps were generated that substantiates to the actual in-situ pollution concentration levels thereby evidences the potential of high resolution Geoeye-2 imagery for monitoring and mapping pollution concentrations in the water bodies.
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