RS and Geographical Information System–Based Evaluation of Distributed and Composite Curve Number Techniques

2012 ◽  
Vol 17 (11) ◽  
pp. 1278-1286 ◽  
Author(s):  
S. K. Jena ◽  
K. N. Tiwari ◽  
Ashish Pandey ◽  
S. K. Mishra
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Curve Number ◽  
Geographical Information ◽  
Composite Curve

scholarly journals Rainfall prediction to evaluate the flood risk using remote sensing and geographical information system

2021 ◽  
Vol 1 (2) ◽  
pp. 14-22
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Land Use ◽  
Information System ◽  
Land Cover ◽  
Geographical Information System ◽  
Flood Risk ◽  
Curve Number ◽  
Geographical Information ◽  
Runoff Curve Number

Abstract: In this study, the runoff curve number map for Navrud watershed in north of Iran was determined based on the soil hydrological group, land-use and land-cover using remote sensing and geographical information system. For this objective, land-cover and Land-use situation maps were prepared using NDVI index and Landsat satellite data, respectively. Runoff curve number maps were determined using the overlay prepared maps in GIS and SCS table. For evaluating the accuracy of estimated curve numbers, runoff maximum discharge was calculated using HEC-HMS model and compared to the observed values. Furthermore, the climate change trend and probabilistic distribution functions were considered to predict the flood risk. The effects of climate change were defined by atmospheric general circulation models for A1B, A2 and B1 scenarios. Error analysis between calculated and observed discharge showed that watershed curve number was determined with acceptable accuracy.

HIGH-RAISED BUILDINGS IN URBAN AREA CONTRIBUTES TO THE SNATCH THEFT INCIDENTS

2017 ◽  
Vol 3 (2) ◽  
pp. 65
Author(s):  
Anith Nabilah Mustafa ◽  
Siti Rasidah Md Sakip
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Urban Area ◽  
Statistical Data ◽  
3D Modelling ◽  
Geographical Information ◽  
Residential Areas ◽  
Development Area ◽  
Crime Reports ◽  
Index Crime

Snatch theft incidents are on the rise in Malaysia especially in the cities. It tends to happen in cities because there is a possibility to commit it and both crime and urban are often associated with each other. The aim of this paper is to find out whether the building with two or more levels in urban area contributes to the snatch theft incidents. The present study has been taken up to detect the hotspots of snatch theft in Selangor, Malaysia. The crime data were obtained by requesting and analysing the index crime statistical data from the Royal Malaysian Police (RMP). This study made use of the Geographical Information System (GIS) where its 3D modelling function to construct, assess and analyse the area with high snatch theft cases. The crime reports of 2010 until 2015 were geocoded and the crime maps were prepared in ArcGIS 10.2. It was found that the hotspot area is a mix-used development area which consists mainly of commercial and residential areas of more than two-level buildings. 

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