Geographic Information System-Based Digital Catalog for Managing Subsurface Geotechnical and Geologic Data

Author(s):  
Anne I. Veeger ◽  
Daniel P. Murray ◽  
O. Don Hermes ◽  
Jon C. Boothroyd ◽  
Nasir Hamidzada

Knowledge of surface and subsurface geology and geotechnical properties is fundamental to planning, developing, and modernizing transportation systems. Through dynamic coupling of readily available areal geographic information system coverages and subsurface borehole data stored in a relational database, a spatially referenced digital catalog of borehole data was created for two pilot areas in Rhode Island. The borehole database was populated with data derived from Rhode Island Department of Transportation geotechnical reports and supplemental data from the U.S. Geological Survey groundwater site inventory system and local storm water and sewer projects. Most of these data were previously maintained in paper format, making historical or interproject data comparisons virtually impossible. Unification of these data in a single relational database yields two primary benefits: ( a) historical data are readily accessible for review and therefore can be incorporated easily into the planning stages of new projects and ( b) sophisticated analysis of the region becomes possible with access to data from multiple projects with both spatial and temporal coverage. Geologic data include bedrock geology, surface outcrops, unconsolidated materials, soil type, topographic and orthophotographic base maps, and location of boreholes and wells. Subsurface data include land surface elevation, depth to water table, depth to bedrock, presence of fill, high and low blow-count zones, and organic sediment. The digital catalog is distributed on a CD-ROM that includes ArcView project files and an Access relational database. The borehole data are also accessible through the Internet, with retrieval access for all users and data entry privileges for registered users.

2020 ◽  
Author(s):  
Opeyemi G. Oso ◽  
Alex Odaibo

Abstract Background: Schistosomiasis prevalence is high in southwestern Nigeria and planorbids of the genus Bulinus had been implicated in the transmission of the disease in the area. The knowledge of species distribution in relation to environmental variables will be auspicious in planning control strategies. Methods: Satellite imagery and geographic information system (GIS) were used to develop models for predicting the habitats suitable for bulinid species. Monthly snail sample collection was done in twenty-three randomly selected water contact sites using standard method for a period of two years. Remotely sensed variables such as Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI) were extracted from Landsat TM, ETM+; Slope and Elevation were obtained from digital elevation model (DEM) while Rainfall was retrieved from European Meteorology Research Program. These environmental factors and snail species were integrated into GIS to predict the potential habitats of different bulinid species using exploratory regression models. Results: The following environmental variables: flat-moderate slope (0.01-15.83), LST (21.1oC-23.4oC), NDVI (0.19-0.52), spatial rainfall (> 1,569.34 mm) and elevation (1-278 meters) all contributed to the model used in predicting habitat suitable for bulinids snail intermediate hosts. Exploratory regression models showed that LST, NDVI and slope were predictors of B. globosus and B. jousseaumei; elevation, LST, Rainfall and slope were predictors of B. camerunensis; spatial rainfall, NDVI and slope were predictors of B. senegalensis while NDVI and slope were predictors of B. forskalii in the area. Bulinids in the forskalii group showed clustering in middle belt and south. The predictive risk map of B. jousseaumei was similar to the pattern described for B. globosus, but with a high R-square value of 81%. Conclusion: The predictive risk models of bulinid species in this study provided a robust output for the study area which could be used as base-line for other areas in that ecological zone. It will be useful in appropriate allocation of scares resources in the control of schistosomiasis in that environment.


KOMTEKINFO ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 169-178
Author(s):  
Rafki Imani ◽  
Heri Yanto

This study aims to map the earthquake prone areas, and identify the nearest alternative route for evacuation of earthquake victims in Singkarak District, Solok Regency, West Sumatra. This research method was conducted with descriptive methods that analyzed by GIS (Geographic Information System) based on intensity scale (MMI). The results of this study stated that 90% of villages in Singkarak District had a high earthquake intensity, with an acceleration of the land surface of more than 0.34 g. For evacuation areas can be directed away from areas with steep cliffs and areas close to high buildings and should be directed in the direction close to Lake Singkarak, because the area around this has a low earthquake risk with earthquake acceleration of only 0.1 g.


2007 ◽  
Vol 38 (1) ◽  
pp. 1-26 ◽  
Author(s):  
Eileen Lustig ◽  
Damian Evans ◽  
Ngaire Richards

The study presents a relational database of words referring to material items and institutional processes in over 700 Pre-Angkorian and Angkorian inscriptions, from the sixth to the fourteenth centuries CE. The lexical items within the database have been spatially and temporally referenced, and a geographic information system (GIS) is used to show trends and anomalies over time and space in the distributions of temple sites; key items and materials; and the roles of the rulers, the founders, the donors and temple workers. The current study identifies changes in the socio-economic institutions and relationships within Khmer society through the Pre-Angkorian and into the Angkorian period in Cambodia.


Foristek ◽  
2019 ◽  
Vol 9 (2) ◽  
Author(s):  
Muh. Aristo Indrajaya

The ability to do tracking and routing of a motorized vehicle is very useful in everyday life, such as security on private vehicles, public transportation systems, mass transportation fleet management and others. In this study, we designed a Geographic Information System (GIS) application that will be applied to public transport services. This system will in real time track the position of each vehicle (taxi) and be able to perform automatic service for every taxi request by the customer. Dijkstra's algorithm is a graph search algorithm that solves the shortest path problem that originates from one node for a graph where the weight of the node must not be negative. The analysis is done by examining the node with the smallest weight and inserting it into the set of solutions with the initial search for the origin node requiring knowledge of all paths and weights. Dijkstra's algorithm which is applied to this system will function to find the most suitable taxi for customers by using distance parameters and traffic density levels as the weight value.


2018 ◽  
Vol 2 ◽  
pp. 223
Author(s):  
Humam Zarodi

<p>Erupsi Gunungapi Merapi tahun 2010 mengakibatkan banyak korban jiwa, kerusakan aset dan kerugian di berbagai bidang. Untuk meminimalkan korban jiwa, kerusakan dan kerugian, diperlukan upaya pengurangan risiko bencana (PRB). Salah satu upaya yang dilakukan adalah program desa bersaudara (<em>sister village</em>) yang digagas oleh Pemerintah Kabupaten Magelang melalui Badan Penanggulangan Bencana Daerah (BPBD). Program desa bersaudara ini bertujuan agar ada kepastian tempat pengungsian, mengurangi kesemrawutan proses pengungsian serta memudahkan pelayanan pengungsi. Program ini dapat memanfaatan Sistem Informasi Geografis/<em>Geographic Information System</em> (GIS) yang berbasis web (<em>WebGIS</em>). <em>WebGIS</em> mampu mendiseminasikan peta yang dihasilkan dalam program desa bersaudara, misalnya peta jalur evakuasi. Makalah ini bertujuan untuk mendiskripsikan pemanfataan <em>WebGIS</em> dalam mendukung program desa bersaudara, dengan mengambil kasus di Desa Ngargomulyo (desa rawan bencana) dan Desa Tamanagung (desa penyangga/ penerima pengungsi). Metodenya adalah memaparkan proses pemetaan jalur evakuasi. Proses penyusunan peta tersebut terbagi empat tahap:   survei lapangan, penyiapan data spasial, coding dan publikasi. Hasilnya adalah tampilan peta jalur evakuasi yang bisa diakses oleh siapapun tanpa menggunakan aplikasi GIS yang memudahkan masyarakat pengungsi, penerima pengungsi, pemerintah maupun parapihak, mengetahui asal pengungsi, jalur evakuasi dan titik pengungsian. Penelitian ini menyimpulkan bahwa pemetaan <em>WebGIS</em> dapat mendukung upaya PRB dengan keunggulan bisa dijangkau pengguna secara sangat luas.<strong></strong></p><p><strong>Kata kunci</strong>: desa bersaudara, <em>sister village</em>, pemetaan jalur evakuasi, <em>gis</em>, <em>webgis</em></p>


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