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Geographical information system - Astrophysics Data System

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Last Updated: 21 June 2022

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Analysis of Gas Outage Data and Gentrification Patterns to Explain Unreported Gas Leaks in NYC Utilizing Data Science and Geographic Information System (GIS) Tools

Learn More: Stephanie Avila and Itay Rubin's article This project seeks to use open data obtained from the NYC Housing Authority and local news sources for gas leak reports and ongoing gas leaks in New York City. To clarify Unreported Gas Leaks in NYC, Uses Data Science and Geographic Information System Tools Tools. Introduction to the City College of New York Assistant: Ronak Etemadpour, PhD, Assistant Professor of Computer Science and Geographic Information System Tools This project aims to analyze open data collected from web-to's We will investigate why people in lower socioeconomic communities may be less likely to experience gas leakages as a result of extended shutdowns and delays in finding the leakages. More specifically, we'll explore if those in lower socioeconomic communities may be less likely to report gas outages because they face extended shutoffs and delays in settling the leaks. We'll eventually use data science tools and statistical techniques to show how gas leak reporting habits of residents of various socioeconomic groups are related to gentrification in NYC.

Source link: https://ui.adsabs.harvard.edu/abs/2021AGUFMSY45B0793R/abstract


Environmental Study on Landfill Suitability Modeling Using Geographic Information Systems and Multicriteria Decision Analysis: A Case Study in Afak Qadhaa

The ideal locations for the landfill space in Afak Qadhaa were found by integrating geographic information system and analysis decision, as well as implementing these techniques that result in integrated environmental management, which is required in order to account all components and processes in the environment.

Source link: https://ui.adsabs.harvard.edu/abs/2022E&ES.1029a2012T/abstract


Coronavirus disease vulnerability map using a geographic information system (GIS) from 16 April to 16 May 2020

The world has been affected by the infectious coronavirus disease in recent months, and Iran is one of the most affected countries. The Iranian government's health services for urgent inquiry into all provinces do not exist at the same time. There is no such system in determining the challenges of Iranian provinces in prioritizing health care. The aim of this research was to create a coronavirus vulnerability map of Iranian provinces using a geographic information system to track the disease. Coronavirus in Iran has a greater effect on population density and older people than older people, according to the researchers.

Source link: https://ui.adsabs.harvard.edu/abs/2022PCE...12603043R/abstract


Utilizing hydraulic modelling and Geographical Information System (GIS) in developing a water distribution network for reclaimed water

This paper reviews previous research on how to create a water delivery system for delivering reclaimed water in order to reduce the industry's rising water demand. It is primarily funded by Correl's Development of low-cost water treatment for industrial water reclamation. To produce reclaimed water, Simultaneously, a robust water distribution network is required. Hydraulic simulation is used to determine and assess the demand for water over a predetermined time period based on daily water use. To facilitate the network planning and visualization of the water distribution network, the developed hydraulic model was then integrated into GIS. Several factors must be considered, including political acceptance, economic feasibility, environmental stewardship, scientific operation, and health risk, among others, in order to fully implement the idea of reclaimed water and its distribution by a water distribution scheme.

Source link: https://ui.adsabs.harvard.edu/abs/2022E&ES.1022a2041A/abstract


Smart Campus Geographic Information System (GIS) Mobile Application Reporting System

Testing the computer is finished by testing the software, starting with a preliminary research to investigate the issue, data processing, data processing, and system design using ArcGIS for Desktop, ArcGIS App Studio to build the webpage, and ArcGIS Online to build the computer dashboard. As a result, a mobile geographical information system focused on the maintenance and solving infrastructure issues related to infrastructure was created as a mobile application. To verify the functionality, several people tried the Smart Campus GIS Mobile Application Reporting System in the restricted region.

Source link: https://ui.adsabs.harvard.edu/abs/2022E&ES.1019a2020S/abstract


A New Urban Space Analysis Method Based on Space Syntax and Geographic Information System Using Multisource Data

The urban area of several cities has been destroyed due to widespread urban decay, contributing to the loss of urban regional identity; therefore, these urban spaces must be studied and protected closely. Previous studies on urban spatial pattern in urban areas mainly focused on spatial morphology or urban texture. This paper reviews a new urban space analysis tool based on space syntax and the geographic information system in order to investigate the urban space more scientifically and systematically, as well as a more effective spatial conservation scheme, using multisource data. This new analysis technique of urban space is of utmost importance in the investigation of urban problems, urban profiling, and urban planning.

Source link: https://ui.adsabs.harvard.edu/abs/2022IJGI...11..297X/abstract


New Geochemical Framework and Geographic Information System Methodologies to Assess Element Occurrence, Persistence, and Mobility in Groundwater and Surface Water

This report explores the inherent ability of surface water and groundwater to mobilize arsenic, molybdenum, selenium, uranium, and vanadium. The method was developed from existing groundwater and surface water geochemical data from the National Uranium Resource Evaluation database for 2302 groundwater and 915 surface water samples. Samples were categorized by environmental condition, which was figured by using decreaseu2013oxidationu2014as indicated by pe,u2014and pH ranges for each sample based on geochemical mobility frameworks developed by Smith and Perel'man. As analysis areas were used in GIS to find the most common environmental condition in each HUC, 12-digit hydrologic unit code boundaries were used. This method gives a systematic way to determine areas where elements in groundwater and surface water may occur and persist, and may be transferable to other locations.

Source link: https://ui.adsabs.harvard.edu/abs/2022Mine...12..411B/abstract

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions