4 research outputs found
Geospatial Analysis for the Determination of Hydro-Morphological Characteristics and Assessment of Flash Flood Potentiality in Arid Coastal Plains: A Case in Southwestern Sinai, Egypt
Coastal plains with a unique geographic setting and renewable natural resources are promising for sustainable development; however, these areas may be subjected to some environmental hazards due to their geological setting. One of those hazards is the seasonal flash flood that can threaten existing and future development projects in such critical areas. Southwestern Sinai, Egypt, is a coastal plain that is characterized by complex geological setting an arid climate with seasonal rainfall which can result in a high runoff. The aim of this work is to model spatially the runoff amount and density related to flash flood development and to create a flash flood hazard map of the plain as an example of coastal plain in a desert environment with large and complex hydrologic setting. In this research, ASTER images are used to develop a digital elevation model (DEM) and land use/land cover (LULC) data sets of the study area. Geographic information system (GIS) was used to perform runoff and ash potential flood analyses of the created databases and to show distributed runoff and flooding potential in spatial maps. A module was created in a GIS environment to develop a flash flood potential index map. It was clear that the main two factors controlling runoff amounts and flash flood potential in such kinds of areas are the slope and soil types. The final dataset map procedure by this work can be very helpful in land use planning by highlighting the areas subjected to flash floods.
Análisis Geoespacial para Determinar las Características Hidromorfológicas y Evaluar las Inundaciones Potenciales en Llanuras Costeras Áridas: Caso de Estudio en el Suroccidente de Sinaí, Egipto
Resumen
Las llanuras costeras que poseen recursos naturales renovables y una configuración geográfíca única son promisorias para el desarrollo sostenible. Estas áreas, sin embargo, son objeto de algunas amenazas ambientales debido a su escenario geológico. Una de estas amenazas es la temporada de inundaciones rápidas que pueden poner en riesgo los proyectos de desarrollo existentes y los futuros en estas zonas críticas. El suroccidente de Sinaí, Egipto, es una llanura costera que se caracteriza por su compleja configuración geológica de clima árido, con temporadas de lluvia que pueden resultar en una gran escorrentía. El objetivo de este trabajo fue modelar espacialmente la cantidad y densidad de escorrentía relacionada al desarrollo de inundaciones rápidas y elaborar un mapa de amenazas de inundación rápida en este valle, como un ejemplo de llanura costera en un ambiente desértico con un escenario hidrológico grande y complejo. En este trabajo se utilizaron imágenes ASTER para desarrollar un Modelo de Elevación Digital (DEM, en inglés) y establecer la información de uso del suelo/cobertura del suelo (LULC, en inglés) en el área de estudio. A partir del Sistema de Información Geográfica (GIS) se analizaron la escorrentía y el potencial de inundación de las bases de datos creadas, y se mostró la escorrentía y el potencial de inundación en mapas espaciales. Se creó un módulo en un ambiente del GIS para desarrollar un mapa del índice inundación rápida potencial. Se estableció que los dos factores que controlan la cantidad de escorrentía y el potencial de inundaciones rápidas en estas áreas son la inclinación y los tipos de suelo. El mapa final de procemiento con el conjunto de datos de este trabajo es de gran ayuda en la planeación del uso de suelos, ya que evidencia las áreas con posibilidad de inundaciones rápidas
Geochemistry and dolomitization of Pleistocene coral reefs, in the Gulf of Aqaba region, South Sinai, Egypt
Pleistocene coral reef terraces are exposed in two levels at the southeastern part of Sinai Peninsula along the Gulf of Aqaba coast. Mineralogically, the reef formations are made up by aragonite, low and high Mg-calcite and protodolomite. Evaporites and iron oxides/hydroxides were also identified. Pétrographie characteristics of the two reef sequences revealed that the reefal carbonates were affected by early, near-surface dolomitization and pervasive dolomitization. In the former case, aragonites and Mg-calcites were replaced respectively by dolomites. Pervasive dolostones were formed by mimetical replacement of aragonitic and high Mg-calcitic allochems. Reefal limestones and dolostones were analyzed for Ca, Mg, Sr, Mn, Fe and Na. Concentrations of these major and trace elements are consistent with progressive diagenesis of the reef terraces under evaporated marine water, brine and freshwater conditions. Oxygen and carbon isotope values range between -9.60 to +3.39 %o PDB Ô018 and -4.35 to +3.17 %o PDB 5C13 respectively suggest dolomitization by marine water modified by evaporation. The depleted isotope values related to freshwater diagenesis
LAND SUITABILITY SCENARIOS FOR ARID COASTAL PLAINS USING GIS MODELING: SOUTHWESTERN SINAI COASTAL PLAIN, EGYPT
Site selection analysis was carried out to find the best suitable lands for development activities in an example of promising coastal plains, southwestern Sinai, Egypt. Two GIS models were developed to represent two scenarios of land use suitability in the study area using GIS Multi Criteria Analysis Modeling. The factors contributed in the analysis are the Topography, Land cover, Existing Land use, Flash flood index, Drainage lines and Water points. The first scenario was to classify the area according to various gradual ranges of suitability. According to this scenario, the area is classified into five classes of suitability. The percentage of suitability values are 51.16, 6.13, 22.32, 18.49 and 1.89% for unsuitable, least suitable, low suitable, suitable and high suitable, respectively. The second scenario is developed for a particular kind of land use planning; tourism and recreation projects. The suitability map of this scenario was classified into five values. Unsuitable areas represent 51.18% of the study area, least suitable 16.67%, low suitable 22.85%, suitable 8.61%, and high suitable 0.68%. The best area for locating development projects is the area surrounding El-Tor City and close to the coast. This area could be an urban extension of El-Tor City with more economical and environmental management
Application of GIS and Remote Sensing in Research
The author added the ppt in the attachment. Lectures on Application of GIS and Remote Sensing in Research are available on YouTube channel.
For Bangladeshi learners: https://youtube.com/playlist?list=PL1qZn0OvlNyUwuRDcgV5IrkSzfRKlhpa7
Lecture topic
Introduction of GIS and Theoretical Concept
Concept of Geo-processing, Basic Geo-processing tools
Basic concept of Python for ArcGIS and Basic ArcPy Script
Fundamentals of Remote Sensing and Theoretical Concept
Image Processing and How to Create a study area Map
Image Processing and How to Create a study area Map
Iso Cluster Unsupervised Classification
Erosion and Accretion calculation
Model builder
Network Analysis
Hotspot Analysis
Climate data download: free data sources and how to download data by Python code
Understanding gridded data and spatial figures
Spatial data analysis with IDW technique
Spatial data analysis using NetCDF dataE-mail: [email protected]; Website:https://researchsociety20.org/teacher-trainer/ ;
Research gate: https://www.researchgate.net/profile/Md-Miah-8
