scholarly journals Developing Plot Level Database on Land Accretion: A Case Study on Sandwip Island of Bangladesh

2019 ◽  
Vol 6 (2) ◽  
pp. 190
Author(s):  
Irtifa Alam Nabila

Erosion and accretion are continuously changing the shape, size and configuration of Sandwip Island of Bangladesh. Plot level database are very significant in order to document these changes from micro levels. For this purpose, an attempt has been made to develop plot level database about land accretion of the Island since 1913 through overlapping Mauza maps using GIS (Geographic Information System) data. Here a case study named Thak Kuchiamora mauza, experiencing alluvion located in the eastern side of the Sandwip Island has been presented from micro level. Both primary and secondary data have been used for this study. CS (Cadastral Survey) and RS (Revisional Settlement) mauza maps available from DLRS (Directorate of land records and Surveys) office has been collected and overlaid on satellite images (2016) so that the accretion context and circumstances can be detected. Plot level information has been extracted from collected mauza maps and integrating with present land cover features changing scenario has been analysed. During cadastral survey 172 plots have been recorded and in the Revisional settlement operation it increased into 502 plots due to land fragmentation. From 1970 to 2000 period the area accreted about 220 m from southwest to northeast direction. Analyzing accreted database over different period it has been concluded that from Revisional settlement operation (1970) to 2016 it has been recorded that the mauza has increased about 1185 m from west to east. The newly formed landmass of the area hasn’t stable enough for permanent land use yet.

Author(s):  
Harrison Togia ◽  
Oceana P. Francis ◽  
Karl Kim ◽  
Guohui Zhang

Hazards to roadways and travelers can be drastically different because hazards are largely dependent on the regional environment and climate. This paper describes the development of a qualitative method for assessing infrastructure importance and hazard exposure for rural highway segments in Hawai‘i under different conditions. Multiple indicators of roadway importance are considered, including traffic volume, population served, accessibility, connectivity, reliability, land use, and roadway connection to critical infrastructures, such as hospitals and police stations. The method of evaluating roadway hazards and importance can be tailored to fit different regional hazard scenarios. It assimilates data from diverse sources to estimate risks of disruption. A case study for Highway HI83 in Hawai‘i, which is exposed to multiple hazards, is conducted. Weakening of the road by coastal erosion, inundation from sea level rise, and rockfall hazards require adaptation solutions. By analyzing the risk of disruption to highway segments, adaptation approaches can be prioritized. Using readily available geographic information system data sets for the exposure and impacts of potential hazards, this method could be adapted not only for emergency management but also for planning, design, and engineering of resilient highways.


Author(s):  
Bekir Bartin ◽  
Sami Demiroluk ◽  
Kaan Ozbay ◽  
Mojibulrahman Jami

This paper introduces CurvS, a web-based tool for researchers and analysts that automatically extracts, visualizes, and analyzes roadway horizontal alignment information using readily available geographic information system roadway centerline data. The functionalities of CurvS are presented along with a brief background on its methodology. The validation of its estimation results are presented using actual horizontal alignment data from two different roadway types: Route 83, a two-lane two-way rural roadway in New Jersey and I-80, a freeway segment in Nevada. Different metrics are used for validation. These are identification rates of curved and tangent sections, overlap ratio of curved and tangent sections between estimated and actual horizontal alignment data, and percent fit of curve radii. The validation results show that CurvS is able to identify all the curves on these two roadways, and the estimated section lengths are significantly close to the actual alignment data, especially for the I-80 freeway segment, where 90% of curved length and 94% of tangent section length are correctly matched. Even when curves have small central angles, such as the ones in Route 83, CurvS’s estimations covers 71% of curved length and 96% of tangent section length.


2017 ◽  
Vol 10 (1) ◽  
Author(s):  
Victor Brestoiu

The Shapefile format is a particular standard for storing GIS (Geographic Information System) data, designed and developed by the Environmental Systems Research Institute (ESRI). The purpose of this project was to extract the binary data describing the City of Lethbridge from ESRI Shapefiles, and then to demonstrate an ability to utilize and modify this data. The utilization component centered on pathfinding and visually drawing the data, while the modification component involved the creation of a new, human-readable file type which contained the processed Shapefile data. These goals were accomplished by converting the Shapefile data into custom ‘Node’ objects in C++ code. These nodes form the basis for further development, as more attributes can easily be added to them as needed. The implemented pathfinding is a matter of picking a starting and ending node, and travelling across their adjacent nodes until a shortest path is found, a search algorithm called A* (read: A Star). Although further work is necessary for a robust product, this platform is already highly modular and is freely available open source. Le format Shapefile est un standard particulier pour le stockage des données du système d’information géographique (SIG), conçu et développé par l’Institut de Recherche des Systèmes Environnementaux (ESRI). Le but de ce project était d’extraire les données binaires qui décrivent la ville the Lethbridge des Shapefiles ESRI, et de démontrer que ces données peuvent être utilisées et modifiées. Le composant d’utilisation était centré sur la navigation et la visualization des données, tandis que le composant de modification a demandé la création d’un nouveau format lisible aux humains qui contient les données Shapefile traitées. Ces buts ont été accomplies en convertissant l’information Shapefile en objets ‘nœud’ personnalisés dans le langage de programmation C++. Ces nœuds forment la base pour les développements plus approfondis, car plus d’attributs peuvent être facilement ajoutés aux nœuds lorsque nécessaire. Le système de navigation implémentée est alors une question de choisir un nœud de départ et de terminaison, puis voyager à travers leurs nœuds adjacents jusqu’à la découverte de la route la plus courte. Ce procès informatique est l’algorithme de recherche A* (lu : A Star). Quoi qu’encore plus de travail soient nécessaire pour le développement d’un produit able, cette plateforme est déjà très modulaire et disponible à l’open-source.  


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