To Analyze Different Excavation Pattern in NATM Construction

2021 ◽  
Vol 9 (VII) ◽  
pp. 3919-3931
Author(s):  
Vibhuti Goyal
Keyword(s):  
Urban Area ◽  
Urban Areas ◽  
Underground Structure ◽  
Underground Construction ◽  
Metro Station ◽  
Unique Challenge ◽  
Tunneling Method ◽  
Geological Conditions ◽  
The World ◽  
Tunnel Design

Underground construction is preferable due to lack of space availability on surface in urban areas, so the underground construction is increasing throughout the world for various reasons. Tunneling in urban area is a unique challenge, these challenge can be addressed with suitable tunnel design. New Austrian Tunneling Method (NATM) has become the method of choice for tunneling in urban areas to construct underground structure such as metro station, rail crossovers, multi-track metro lines. The aim of this report is to analyze different excavation pattern such as heading, benching and invert in NATM construction in varying geological conditions by using RS2 software for determining stresses across the tunnel surrounding and to give a best suitable excavation pattern for construction of tunnel.

scholarly journals PEMBINAAN PERCAKAPAN BAHASA INGGRIS BAGI MASYARAKAT PERUMAHAN GRIYA BATU AJI ASRI BATAM

2020 ◽  
Vol 1 (2) ◽  
pp. 89-94
Author(s):  
Winda Evyanto ◽  
Zia Hisni Mubarak
Keyword(s):  
Foreign Language ◽  
Urban Area ◽  
Community Service ◽  
Urban Areas ◽  
National Language ◽  
The Other ◽  
The People ◽  
The World ◽  
Continuous Activity ◽  
Bahasa Indonesia

English is language that is spoken widely around the world. One of example where English is widely spoken around the country is in Singapore. Not only this country, the neighborhood country such Malaysia has more people who can speak English fluently. For both countries, English is official and second language. While the other neighborhood country such Indonesia uses English less frequently than the national language, Bahasa Indonesia. English is still a foreign language for Indonesian. By looking at this phenomenon, people in our neighboring countries such Singapore and Malaysia use English for their daily conversation. When they want to go to Indonesia, especially to the nearest island from both countries; that is Batam island, sometimes they face that some people in Batam cannot communicate well using English. It happens when they go to some urban areas such as Batu Aji in Batam city. The team of lecturer conducts an activity to the people from an urban area in Batu Aji to be given a community service to teach team how to speak better daily English conversation. The activity is started by training the people vocabulary through the flash card activity. From this activity, people from Griya Batu Aji resident show a good enthusiasm to join the activity to train them better in speaking. This activity is a continuous activity where the team reports the first phase progress of the activity only in this article. 

scholarly journals Land Use Change Detection and Urban Sprawl Monitoring in Metropolitan Area of Jakarta (Jabodetabek) from 2001 to 2015

2019 ◽  
Author(s):  
Ismail Fata Robbany ◽  
Arash Gharghi ◽  
Karl-Peter Traub
Keyword(s):  
Urban Area ◽  
Metropolitan Area ◽  
Urban Sprawl ◽  
Urban Areas ◽  
Agricultural Land ◽  
Central City ◽  
Urban Expansion ◽  
South East Asia ◽  
The World ◽  
Increasing Demand

Being 13th largest city in the world makes Jakarta as a fascinating city in South East Asia. Its surrounding regions are included in a particular metropolitan area called “Jabodetabek”. Population growth in this metropolitan area about 10 million only in 15 years from 2000 to 2015. Consequently, loss of vegetation and agricultural land, less water resources, increasing demand for housing and transportation infrastructure as the effect of this ever-growing population take place. This phenomenon can be detected using Landsat satellites images. The settlement or urban area in Jabodetabek shows a huge increase in percentage from 2001 to 2015, so much that the urban area is the dominant land cover and reaches up to 61 percent of Jabodetabek in year 2015. Moreover settlement density in Jabodetabek (ring zones 25 to 45 km from central city) shows an increase of more than 20% urban areas in year 2015. Furthermore, the result of compactness reveals that this urban expansion in Jabodetabek was spread out from 2001 to 2008 and became more compacted by 2015.

Algeria

2020 ◽  
Author(s):  
Marius Schneider ◽  
Vanessa Ferguson
Keyword(s):  
West Africa ◽  
Mediterranean Sea ◽  
Urban Area ◽  
Urban Areas ◽  
Western Sahara ◽  
North West ◽  
The World ◽  
The Mediterranean

Algeria is located in the Maghreb region in North-West Africa. It borders the Mediterranean Sea, Tunisia, Libya, Morocco, Mauritania, Mali, Niger, and Western Sahara. It has an area of 2,381,741 square kilometres (km) making it the tenth-largest country in the world and the largest in Africa. More than four-fifths of the country is desert. Algeria’s population was of 41.3 million in 2017. Most of the inhabitants live in the northern urban areas, where Algiers, Oran, and Constantine, the major cities, are found. Algiers, the most populous city is also the capital. It is a megapolis of more than 6 million inhabitants, making it the largest urban area in the Maghreb. Oran is the second biggest town in Algeria. The weekend comprises Friday and Saturday since 2009. The dinar is the monetary currency of Algeria (DZD).

scholarly journals Analysing the Effect of Tunnel Construction on Existing Structure by Using Analytical and Numerical Method

2021 ◽  
Vol 9 (VII) ◽  
pp. 3961-3971
Author(s):  
NInad Choudhary
Keyword(s):  
Numerical Method ◽  
Urban Areas ◽  
Suitable Method ◽  
Tunnel Construction ◽  
Ground Settlement ◽  
Underground Construction ◽  
Existing Structures ◽  
Geological Conditions ◽  
Existing Structure

Underground construction in urban areas is a challenging work to carry out and includes a lot of factors to be considered. In varying geological conditions, it becomes very difficult as there are various faults and fracture, so it requires a proper investigation to be done before starting of the project. The aim of this report is to determine the effects of tunneling on existing structures and tunnel surrounding due to tunnelling work, like crack in structure, vibrations caused to the above structure and ground settlement. To identify the movements caused and giving a solution by using the RS2 software and deciding the best suitable method for Construction of tunnel.

The Status of Livelihood Vulnerability and Its CopingCapacities of Urban Squatters in Kathmandu Metropolitan City, Nepal

Patan Pragya ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 19-32
Author(s):  
Chhabi Ram Baral
Keyword(s):  
Data Collection ◽  
Urban Area ◽  
Urban Areas ◽  
Quantitative Methods ◽  
Urban Poverty ◽  
Rural Poverty ◽  
Poor People ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
The Status

Urban poverty is one of multidimensional issue in Nepal. Increasing immigration from the outer parts of Kathmandu due to rural poverty, unemployment and weak security of the lives and the properties are core causes pushing people into urban areas. In this context how squatter urban area people sustain their livelihoods is major concern. The objectives of the study are to find out livelihood assets and capacities squatters coping with their livelihood vulnerability in adverse situation. Both qualitative and quantitative methods are applied for data collection. It is found that squatters social security is weak, victimized by severe health problems earning is not regular with lack of physical facilities and overall livelihood is critical. This study helps to understand what the changes that have occurred in livelihood patterns and how poor people survive in urban area.

Urban Transport

2018 ◽  
Author(s):  
José van
Keyword(s):  
Urban Areas ◽  
Urban Transport ◽  
Transport Sector ◽  
Public And Private ◽  
Transport Services ◽  
Ride Sharing ◽  
The World ◽  
Private And Public ◽  
Selection Mechanisms

Platformization affects the entire urban transport sector, effectively blurring the division between private and public transport modalities; existing public–private arrangements have started to shift as a result. This chapter analyzes and discusses the emergence of a platform ecology for urban transport, focusing on two central public values: the quality of urban transport and the organization of labor and workers’ rights. Using the prism of platform mechanisms, it analyzes how the sector of urban transport is changing societal organization in various urban areas across the world. Datafication has allowed numerous new actors to offer their bike-, car-, or ride-sharing services online; selection mechanisms help match old and new complementors with passengers. Similarly, new connective platforms are emerging, most prominently transport network companies such as Uber and Lyft that offer public and private transport options, as well as new platforms offering integrated transport services, often referred to as “mobility as a service.”

scholarly journals The Wood Quality of Small-Leaved Lime (Tilia cordata Mill.) Trees in an Urban Area: A Pilot Study

Forests ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 420
Author(s):  
Benas Šilinskas ◽  
Aistė Povilaitienė ◽  
Gintautas Urbaitis ◽  
Marius Aleinikovas ◽  
Iveta Varnagirytė-Kabašinskienė
Keyword(s):  
Urban Area ◽  
Urban Areas ◽  
Wood Quality ◽  
Wood Products ◽  
Urban Trees ◽  
Measuring System ◽  
Forest Site ◽  
Tilia Cordata ◽  
Mean Values ◽  
Wood Development

This study performed a pilot evaluation of the wood quality—defined by a single parameter: dynamic modulus of elasticity (MOEdyn, N mm−2)—of small-leaved lime (Tilia cordata Mill.) trees in urban areas. A search of the literature revealed few studies which examined the specifics of tree wood development in urban areas. Little is known about the potential of wood from urban trees wood of their suitability for the timber industry. In this study, an acoustic velocity measuring system was used for wood quality assessment of small-leaved lime trees. The MOEdyn parameter was evaluated for small-leaved lime trees growing in two urban locations (along the streets, and in an urban park), with an additional sample of forest sites taken as the control. MOEdyn was also assessed for small-leaved lime trees visually assigned to different health classes. The obtained mean values of MOEdyn of 90–120-year old small-leaved lime trees in urban areas ranged between 2492.2 and 2715.8 N mm−2. For younger trees, the values of MOEdyn were lower in the urban areas than in the forest site. Otherwise, the results of the study showed that the small-leaved lime wood samples were of relatively good quality, even if the tree was classified as moderately damaged (which could cause a potential risk to the community). Two alternatives for urban tree management can be envisaged: (1) old trees could be left to grow to maintain the sustainability of an urban area until their natural death, or (2) the wood from selected moderately damaged trees could be used to create wood products, ensuring long-term carbon retention.

scholarly journals Semantic segmentation of PolSAR image data using advanced deep learning model

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rajat Garg ◽  
Anil Kumar ◽  
Nikunj Bansal ◽  
Manish Prateek ◽  
Shashi Kumar
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Deep Learning ◽  
Urban Area ◽  
Urban Areas ◽  
Learning Algorithms ◽  
Semantic Segmentation ◽  
Learning Model ◽  
Machine Learning Algorithms ◽  
Deep Learning Model

AbstractUrban area mapping is an important application of remote sensing which aims at both estimation and change in land cover under the urban area. A major challenge being faced while analyzing Synthetic Aperture Radar (SAR) based remote sensing data is that there is a lot of similarity between highly vegetated urban areas and oriented urban targets with that of actual vegetation. This similarity between some urban areas and vegetation leads to misclassification of the urban area into forest cover. The present work is a precursor study for the dual-frequency L and S-band NASA-ISRO Synthetic Aperture Radar (NISAR) mission and aims at minimizing the misclassification of such highly vegetated and oriented urban targets into vegetation class with the help of deep learning. In this study, three machine learning algorithms Random Forest (RF), K-Nearest Neighbour (KNN), and Support Vector Machine (SVM) have been implemented along with a deep learning model DeepLabv3+ for semantic segmentation of Polarimetric SAR (PolSAR) data. It is a general perception that a large dataset is required for the successful implementation of any deep learning model but in the field of SAR based remote sensing, a major issue is the unavailability of a large benchmark labeled dataset for the implementation of deep learning algorithms from scratch. In current work, it has been shown that a pre-trained deep learning model DeepLabv3+ outperforms the machine learning algorithms for land use and land cover (LULC) classification task even with a small dataset using transfer learning. The highest pixel accuracy of 87.78% and overall pixel accuracy of 85.65% have been achieved with DeepLabv3+ and Random Forest performs best among the machine learning algorithms with overall pixel accuracy of 77.91% while SVM and KNN trail with an overall accuracy of 77.01% and 76.47% respectively. The highest precision of 0.9228 is recorded for the urban class for semantic segmentation task with DeepLabv3+ while machine learning algorithms SVM and RF gave comparable results with a precision of 0.8977 and 0.8958 respectively.

scholarly journals Cost-efficient factors in local public spending: Detecting relationships between local environments, population size and urban area category

2021 ◽  
pp. 239980832110038
Author(s):  
Hiroki Baba ◽  
Yasushi Asami
Keyword(s):  
Population Size ◽  
Urban Area ◽  
Urban Areas ◽  
Local Governments ◽  
Statistical Significance ◽  
Population Decline ◽  
Public Spending ◽  
Local Environment ◽  
Environment Factors ◽  
Major Factors

This study examines regional differences in local environment factors to better understand the sustainability of local governments indexed by per capita public spending. Under the condition of heterogeneous population size, we examine how factor characteristics differ depending on the spatial context represented by the urban area category. By employing a Cobb–Douglas cost function with congestion effects on public service provision, the estimated factors enable us to articulate major factors and differences in cost-efficiency between urban area categories. We found that statistical significance and even the signatures of local environment factors differ depending on the urban employment area category. Regarding factors such as the ratios of employees in secondary and tertiary industries, these did not tend to be statistically significant in small-sized urban areas, while small-sized cities in large-sized urban areas were likely to gain confidence intervals. Moreover, we did not observe any statistical significance for the ratio of elderly people due to the balance of spending between national and local governments. These findings could contribute to sustainable management of cities in the advent of population decline.

scholarly journals InSAR Multitemporal Data over Persistent Scatterers to Detect Floodwater in Urban Areas: A Case Study in Beletweyne, Somalia

2020 ◽  
Vol 13 (1) ◽  
pp. 37
Author(s):  
Luca Pulvirenti ◽  
Marco Chini ◽  
Nazzareno Pierdicca
Keyword(s):  
Urban Area ◽  
Urban Areas ◽  
The Other ◽  
Spatial Average ◽  
Calibration Data ◽  
Suburban Areas ◽  
Persistent Scatterers ◽  
Optical Images ◽  
Interferometric Phase ◽  
Multitemporal Data

A stack of Sentinel-1 InSAR data in an urban area where flood events recurrently occur, namely Beletweyne town in Somalia, has been analyzed. From this analysis, a novel method to deal with the problem of flood mapping in urban areas has been derived. The approach assumes the availability of a map of persistent scatterers (PSs) inside the urban settlement and is based on the analysis of the temporal trend of the InSAR coherence and the spatial average of the exponential of the InSAR phase in each PS. Both interferometric products are expected to have high and stable values in the PSs; therefore, anomalous decreases may indicate that floodwater is present in an urban area. The stack of Sentinel-1 data has been divided into two subsets. The first one has been used as a calibration set to identify the PSs and determine, for each PS, reference values of the coherence and the spatial average of the exponential of the interferometric phase under standard non-flooded conditions. The other subset has been used for validation purposes. Flood maps produced by UNOSAT, analyzing very-high-resolution optical images of the floods that occurred in Beletweyne in April–May 2018, October–November 2019, and April–May 2020, have been used as reference data. In particular, the map of the April–May 2018 flood has been used for training purposes together with the subset of Sentinel-1 calibration data, whilst the other two maps have been used to validate the products generated by applying the proposed method. The main product is a binary map of flooded PSs that complements the floodwater map of rural/suburban areas produced by applying a well-consolidated algorithm based on intensity data. In addition, a flood severity map that labels the different districts of Beletweyne, as not, partially, or totally flooded has been generated to consolidate the validation. The results have confirmed the effectiveness of the proposed method.

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