scholarly journals Determining and Predicting the Water Demand Dynamic System Model Mapping Urban Crawling and Monitoring Using Remote Sensing Techniques and GIS

2018 ◽  
Vol 24 (6) ◽  
pp. 103 ◽  
Author(s):  
Basim Hussein Khudair ◽  
Noor Sameer Sadeq ◽  
Raghad Sameer Mahmoud
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Spatial Patterns ◽  
Urban Expansion ◽  
Geographic Information ◽  
Aerial Images ◽  
Residential Areas ◽  
Rapid Population Growth ◽  
Model Mapping ◽  
Remote Sensing Techniques

The problem of rapid population growth is one of the main problems effecting countries of the world the reason for this the growth in different environment areas of life commercial, industrial, social, food and educational. Therefore, this study was conducted on the amount of potable water consumed using two models of the two satellite and aerial images of the Kadhimiya District-block 427 and Al-Shu,laa district-block 450 in Baghdad city for available years in the Secretariat of Baghdad (2005, 2011,2013,2015). Through the characteristics of geographic information systems, which revealed the spatial patterns of urban creep by determining the role and buildings to be created, which appear in the picture for the year 2008, 2013, 2015, respectively, compared to buildings and residential areas allocated in 2005. Comparison of each year before to estimate the number the population is the bidder in these years. The amount of water consumed in this period has also been obtained to estimate the amount of water produced for sanitation. The knowledge of growing buildings, increasing population and percentage of increase in the amount of water consumed. Geographic information systems reveal spatial patterns of civilian creep by measuring dimensions in new urban expansion areas from city middle and roads. In various years and in order to knowledge changes that have occurred in particular in the built-up areas, and the urban analyze congestion for periods of lagging and the growth prediction of urban area in the coming years.  

scholarly journals Geoinformation technologies as a basis for research of the optimal location of general secondary education institutions (on the example of Chernivtsi city territorial community)

2021 ◽  
Vol 30 (2) ◽  
pp. 389-401
Author(s):  
Myroslav D. Zayachuk ◽  
Ivan I. Kostashchuk ◽  
Kostiantyn V. Darchuk ◽  
Yurii O. Bilous
Keyword(s):  
Information Systems ◽  
Secondary Education ◽  
Geographic Information Systems ◽  
Secondary Schools ◽  
Average Rate ◽  
Practical Importance ◽  
Large Data ◽  
Geographic Information ◽  
Special Role ◽  
Residential Areas

GIS technologies allow an analyzis of large data sets at the lowest cost. To  date, when forming a network of secondary schools, almost no geographic information  systems have been used. GIS plays a special role in the study of transport and walking  accessibility to GSEI. The article analyzes the theoretical, methodological and practical  problems of using geographic information systems in studies of walking accessibility to general secondary schools of Chernivtsi city  territorial community and describes the general secondary education institutions of the studied community. Based on geoinformation  systems developed in Open Route Service and QGIS, the areas of the community with the best and worst walking accessibility to  secondary schools were identified, which is certainly of great practical importance in creating pivotal institutions, their service zone  and overcoming the problem of overcrowding in some schools. The most convenient location of the general secondary education  institutions of Chernivtsi city territorial community was observed in the central part of the city, as well as in microdistricts Prospect and  Boulevard, where there is a fairly dense arrangement of general secondary education institutions. There are also areas in the community  that are outside the 2-kilometer walking accessibility zone and require transportation for students. Such areas are the Shantsi, Tsetsyno  and Slobidka and Rohizna microdistricts, which have a cottage type accommodations. In general, most of the community is within  walking accessibility. An important aspect of the location of GSEI is the availability indicator, which ranges 0.2 to 0.81. The average  rate of accessibility to GSEI in the Chernivtsi city territorial community is 0.65. It should be noted that in the community there is a  relevant problem of providing students with places in GSEI in those areas, where today the construction of new residential areas is  actively carried out, while educational institutions are not expanding and not being built.

A worldwide meta-analysis review of restriction criteria for landfill siting using geographic information systems

2020 ◽  
pp. 0734242X2096283
Author(s):  
Victor Fernandez Nascimento ◽  
Anna Isabel Silva Loureiro ◽  
Pedro R. Andrade ◽  
Laurindo Antonio Guasselli ◽  
Jean Pierre Balbaud Ometto
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Urban Areas ◽  
Solid Waste Management ◽  
Meta Analysis ◽  
Geographic Information ◽  
Residential Areas ◽  
Site Location ◽  
Landfill Siting ◽  
Surface Water Resources

One of the most crucial parts of solid waste management is determining landfill site location, since multiple factors must be considered and there is no universal formula. The main purpose of this study is to make a worldwide systematic review of restriction criteria used for landfill siting using geographic information systems (GIS). Literature from the last years was thoroughly assessed, and 45 restrictions found were classified as environmental, economic, or social criteria. Our findings show that although the number of articles published has increased recently, they use on average seven restrictions, focusing mainly on environmental over economic and social criteria. In our boxplot statistical analysis, the most frequently used environmental restrictions are the distance from surface water resources (used in 77% of articles), slope (52%), and distance from groundwater founts (40%), with a median of 300 m, 20%, and 250 m, respectively. The most frequently used economic restrictions are distances from roads (60%), airports (40%), and power lines (18%), with medians of 275 m, 3000 m, and 75 m, respectively. The most frequently used social restrictions are distances from urban areas (45%), settlements and residential areas (40%), and cultural heritage or archaeological areas (23%), with medians of 1000 m. This information might help, on the one hand, governments to develop new legislation about landfill siting and on the other hand, decision-makers and scientists to produce new studies with different restrictive scenarios.

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