scholarly journals Seepage Velocity: Large Scale Mapping and the Evaluation of Two Different Aquifer Conditions (Silty Clayey and Sandy)

Hydrology ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 60
Author(s):  
Qais Al-Madhlom ◽  
Nadhir Al-Ansari ◽  
Bashar Abid Hamza ◽  
Jan Laue ◽  
Hussain Musa Hussain

Seepage velocity is a very important criterion in infrastructure construction. The planning of numerous large infrastructure projects requires the mapping of seepage velocity at a large scale. To date, however, no reliable approach exists to determine seepage velocity at such a scale. This paper presents a tool within ArcMap/Geographic Information System (GIS) software that can be used to map the seepage velocity at a large scale. The resultant maps include both direction and magnitude mapping of the seepage velocity. To verify the GIS tool, this study considered two types of aquifer conditions in two regions in Iraq: silty clayey (Babylon province) and sandy (Dibdibba in Karbala province). The results indicate that, for Babylon province, the groundwater flows from the northwest to southeast with a seepage velocity no more than 0.19 m/d; for the Dibdibba region, the groundwater flows from the west to the east with a seepage velocity not exceeding 0.27 m/d. The effectiveness of the presented tool in depicting the seepage velocity was thus demonstrated. The accuracy of the resultant maps depends on the resolution of the four essential maps (groundwater elevation head, effective porosity, saturated thickness, and transmissivity) and locations of wells that are used to collect the data.

2020 ◽  
Vol 8 (9) ◽  
pp. 708
Author(s):  
Emanuele Alcaras ◽  
Claudio Parente ◽  
Andrea Vallario

Coastal and Marine Geographic Information Systems (CMGISs) permit to collect, manage, and analyze a great amount of heterogeneous data concerning coastal, sea, and ocean environments, e.g., nautical charts, topographic maps, remotely sensed images. To integrate those heterogeneous layers in CMGIS, particular attention is necessary to ensure the perfect geo-localization of data, which is a basic requirement for the correct spatial analysis. In fact, the above-mentioned types of information sources are usually available in different cartographic projections, geodetic datum, and scale of representation. Therefore, automatic conversions supplied by Geographic Information System (GIS) software for layer overlay do not produce results with adequate positional accuracy. This paper aims to describe methodological aspects concerning different data integration in CMGIS in order to enhance its capability to handle topics of coastal and marine applications. Experiments are carried out to build a CMGIS of the Campania Region (Italy) harmonizing different data (maps and satellite images), which are heterogeneous for datum (World Geodetic System 1984 and European Datum 1950), projection (Mercator and Universal Transverse of Mercator), and scale of representation (large and medium scale). Results demonstrate that automatic conversion carried out by GIS software are insufficient to ensure levels of positional accuracy adequate for large scale representation. Therefore, additional operations such as those proposed in this work are necessary.


2015 ◽  
Vol 152 (5) ◽  
pp. 830-843 ◽  
Author(s):  
JACQUELINE LEE

AbstractGoogle Earth imagery is used here in conjunction with a Geographic Information System to identify transverse drainages and recreate palaeodrainage in an internally draining region in Iran. At least 35 water gaps and 34 wind gaps are shown to exist in the region, as well as evidence for an integrated palaeodrainage that originated north of the internally draining region and emptied into the Mand watershed to the west. The topographic characteristics of the transverse drainages suggest a strong control by local topography, and support formation of the internally draining region by basin filling and overflow. Both climatic and tectonic factors may have controlled the loss of external connectivity.


2021 ◽  
Vol 6 (24) ◽  
pp. 278-289
Author(s):  
Wan Nor Fa’aizah Wan Abdul Basir ◽  
Uznir Ujang ◽  
Zulkepli Majid

Building Information Modeling (BIM) is a technology that focusing on the building element properties to the construction components which cover the interior and exterior building, while Geographic Information System (GIS) describe to the technology that can provide the large-scale information which cover inside and outside buildings (spaces and areas). In construction project application, BIM technology already been used as a worldwide tool while GIS rarely been applied. Each technology contains their own advantages that can be utilized in the construction project application. To bring the best effective approach in construction project, the integration between BIM and GIS technology can be considered. This paper presented an attempt in integrating BIM and GIS by using FME as a data integration platform to solve the limitation of BIM in construction project by using advantages of GIS. Through this research, an investigation of the data exchange during integration process between BIM and GIS will be look up. By using this approach, it is possible to store the BIM and GIS data in one environment. The end results for this paper will cover the method of the data exchange between BIM to GIS and GIS to BIM. Besides that, this paper highlight how GIS can solve the limitation in BIM in construction project.


La Granja ◽  
2021 ◽  
Vol 34 (2) ◽  
pp. 8-26
Author(s):  
Lia Duarte ◽  
Catarina Queirós ◽  
Ana Cláudia Teodoro

QGIS is a free and open-source software that allows viewing, editing, and analyzing georeferenced data. It is a Geographic Information System (GIS) software composed by tools that allow to manipulate geographic information and consequently to create maps which help to get a better understanding and organization of geospatial data. Unfortunately, maps created directly in the GIS desktop software are not automatically transferred to a website. This research aimed to compare publishing capabilities in different QGIS plugins to create Web Maps. This study analyzes four QGIS plugins (QGIS2Web, QGIS Cloud, GIS Cloud Publisher and Mappia Publisher), performing a comparison between them, considering their advantages and disadvantages, the free and subscription plans, the tools offered by each plugin and other generic aspects. The four plugins were tested in a specific case study to automatically obtain different Web Maps. This study could help users to choose the most adequate tools to publish Web Maps under QGIS software.


2018 ◽  
Vol 28 (55) ◽  
pp. 1076-1102 ◽  
Author(s):  
Helio Carreço ◽  
Aurélia Hermínia Castiglioni

Este trabalho tem por objetivo analisar a vulnerabilidade socioambiental enfrentada pelas parcelas de baixa renda da população dos Bairros de Vitória-ES e demonstrar a relevância dos Sistemas de Informações Geográficas (SIG) como ferramenta de mensuração e representação destas situações. Para isso, será demonstrada a viabilidade da adoção de geotecnologias livres para a abordagem deste tema, por meio da análise de variáveis socioeconômicas, infraestruturais e do meio físico. O estudo fundamenta-se em dados produzidos pelo IBGE, pela Prefeitura Municipal de Vitória e pela Secretaria de Segurança Pública do Espírito Santo, relativos ao período de 2010 a 2015. A análise e redução de variáveis são feitas por meio de critérios objetivos utilizando a Análise de Componentes Principais (ACP). As variáveis analisadas mostraram alta correlação e os resultados foram utilizados para a construção do Índice de Vulnerabilidade Socioambiental. A partir dos valores do índice, os bairros foram espacializados por meio de um software livre de SIG, o que permitiu formar agrupamentos de unidades de análise que apresentam semelhanças quanto à vulnerabilidade socioambiental, sendo possível identificar uma notável disparidade entre os bairros de Vitória.Palavras-chave: Vulnerabilidade Socioambiental; Sistema de Informação Geográfica; Geotecnologias Livres.AbstractThis paper aims to analyze the Socio-Environmental Vulnerability faced by the low income portion of the population from Vitoria – ES and show the importance of the Geographic Information System (GIS) as a tool of measurement and representation of these situations. Thus, the feasibility of adopting free geotechnologies will be demonstrated in order to approach this theme by means of analyzing the socioeconomic, infrastructural as well as physical environment variables. The study is based on data produced by IBGE, City Hall of Vitoria and by Secretary of Public Security of Espirito Santo, related to the period from 2010 to 2015. The analysis and reduction of variables are made by means of objective criteria utilizing the Principal Component Analysis (PCA). The variables analyzed showed high correlation and the results were utilized for the construction of Socio-Environmental Vulnerability Index. From the values of the index, the neighborhoods were spatialized through a free GIS software which allowed forming groups of neighborhoods that present similarities regarding the Socio-Environmental Vulnerability. It was possible to identify a notable disparity among the neighborhoods of Vitoria.Keywords: Socio-environmental Vulnerability; Geographic Information System (GIS); Free Geotechnologies.


Author(s):  
Brent A. Jones

Many smaller pipeline operating companies see the benefits of implementing a Geographic Information System (GIS) to organize pipeline data and meet the requirements of 49 CFR 195, but cannot justify the cost of a large-scale AM/FM/GIS system. PPL Interstate Energy Company (PPL IE) is a pipeline company with 84 miles of main that implemented a GIS solution that leverages both existing technology and facility data investments. This paper discusses the process used to acquire landbase data, to organize existing pipeline data from a variety of paper-based and digital sources, and to integrate these data sets. It will also discuss the functionality and benefits of the resultant GIS.


2019 ◽  
Author(s):  
Nadezhda Kecheva

When the European Union began to finance transport and pipeline infrastructure constructions in Bulgaria, large-scale development-led archaeological projects emerged. After 2011, many 'polluter pays' projects were executed with the outlined workflow containing preliminary reports and fieldwork activities in accordance with Bulgarian legislation and a defined price list. As part of the process the national 'sites and monuments' archaeological information system 'Archaeological Map of Bulgaria' (AIS AKB) plays an important part as a source of archaeological data for the territory of Bulgaria. This centralised structure controls the quality of the archaeological fieldwork and data standardisation. The aim is to transform the 'sites and monuments' information system to an archaeological geographic information system (GIS) based on geospatial features, largely using an accumulation of standardised data.


Nutmeg plant (Myristica sp.) produces seeds and mace as the main commodities of world spice trade. Nutmeg plant habitats in West Java are distributed mainly in Bogor, Sukabumi and Cianjur Regencies. This study aimed to determine the suitability of nutmeg habitats in three nutmeg production centers in West Java based on soil type and slope using the Geographic Information System (GIS) approach and Aster DEM (Digital Elevation Model) analysis. The study was conducted from August to December 2018, by collecting data of: a) The coordinates of the area planted with nutmeg using GPS (Global Positioning System), b) Field documentation in the form of descriptions around the data collection point, c) Soil analysis data, d) Land area data, e) Map of the earth scale of 1:50,000 scale from the Geospatial Information Agency, and f) Landsystem map of West Java scale of 1:250,000. Data were analyzed using Arc GIS 9.3. The results of land suitability analysis based on rainfall data for Bogor region was classified in the category of marginally suitable (S3), while the regions of Sukabumi and Cianjur were sufficiently suitable (S2). Temperature of Bogor region was categorized as the most suitable (S1), while Sukabumi and Cianjur regions were sufficiently suitable (S2) for nutmeg development. The distribution of nutmeg was in Latosol and Regosol soils, with soil pH of rather acidic (pH 4.78-5.98), clay texture, low to high C-organic content (1.5-4.5%) and moderate to high N-Total (0.2-0.5%). Cation exchange capacity ranged from 25-30 cmol(+)/kg with a base saturation level of around 55-60%. Based on slope, the distribution of nutmeg in the West Java region was in the range of slope with a flat (<8%) to sloping (8-15%) category, with altitudes between 400-900 m above sea level classified as suitable to very suitable for nutmeg development. The overall agroecological suitability of nutmeg plants in three nutmeg production centers in the West Java region was classified as suitable to be managed and developed


Author(s):  
Gehan A.H. Sallam ◽  
Tahani Youssef ◽  
Mohamed El-Sayed Embaby ◽  
Fatma Shaltot

In recent years, many countries have faced great challenges due to their limited water resources. According to these challenges, they have undertaken large scale projects to reuse agricultural drainage water in irrigation purpose. The Governments in these countries can enhance water management and sustainable development by adopting policies that enable them to meet water demands and supply management. Therefore, there is a need for unconventional methods to provide better tools for the assessment and management of water quality problems to adopt management policies and set the limits for sustainable drainage water reuse. The implementation of Geographic Information System (GIS) in this field offers an ideal tool for measurements with limited number of sampled points. Statistical analysis that can be provided within GIS is rapidly becoming an impressive tool for statistical analysis of continuous data. The main objective of this chapter is to discuss using GIS to in-follow the pollution caused by fertilizers migration to the water and the soil by applying statistical analysis within the GIS using geostatistical analyst. Geostatistical analyst is an extension of Arc Map™ that bridges the gap between geostatistics and GIS and provides a powerful collection of tools for the management and visualization of spatial data by applying Spatial Statistics.


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