Identification of risk zone area of declining piezometric level in the urbanized regions around the City of Kolkata based on ground investigation and GIS techniques

2020 ◽  
Vol 11 ◽  
pp. 100354 ◽  
Author(s):  
Bernadette John ◽  
Subhasish Das
2012 ◽  
Vol 12 (1) ◽  
pp. 151-163 ◽  
Author(s):  
A. Grezio ◽  
P. Gasparini ◽  
W. Marzocchi ◽  
A. Patera ◽  
S. Tinti

Abstract. We present a first detailed tsunami risk assessment for the city of Messina where one of the most destructive tsunami inundations of the last centuries occurred in 1908. In the tsunami hazard evaluation, probabilities are calculated through a new general modular Bayesian tool for Probability Tsunami Hazard Assessment. The estimation of losses of persons and buildings takes into account data collected directly or supplied by: (i) the Italian National Institute of Statistics that provides information on the population, on buildings and on many relevant social aspects; (ii) the Italian National Territory Agency that provides updated economic values of the buildings on the basis of their typology (residential, commercial, industrial) and location (streets); and (iii) the Train and Port Authorities. For human beings, a factor of time exposition is introduced and calculated in terms of hours per day in different places (private and public) and in terms of seasons, considering that some factors like the number of tourists can vary by one order of magnitude from January to August. Since the tsunami risk is a function of the run-up levels along the coast, a variable tsunami risk zone is defined as the area along the Messina coast where tsunami inundations may occur.


Author(s):  
N.V. Poltoratskaya ◽  
◽  
T.N. Poltoratskaya ◽  
T.M. Pankina ◽  
M.V. Kondratyev ◽  
...  

This paper characterizes the current epidemiological situation of tick-borne encephalitis in the Tomsk region. There has been a decrease in the incidence of TBE for 10 years. There was made an attempt to typify the epidemiological situation of tick-borne encephalitis nidus on the basis of analysis of epidemiological data of the recent years (2011-2020) in the context of administrative territories of Tomsk region. The typification of the foci of TBE was carried out in the context of the administrative territories of the region. Areas of high, medium, low risk of TBE infection are identified. The territories of the city of Tomsk and the Tomsk region, where the maximum infection rates are recorded (66-88 cases per year), are referred to the high-risk zone. Keywords: monitoring, morbidity, tick-borne encephalitis, natural focal infections, intensive indicator.


2005 ◽  
Vol 2 ◽  
pp. 279-284 ◽  
Author(s):  
A. Sole ◽  
G. Zuccaro

Abstract. Recent hydrogeological events have increased both public interest and that of the Scientific Community in a more accurate study of flooding in urban areas. The present project proposes a new model which offers an optimal integration of two models, one for flood wave propagation in riverbeds and the other for flooding in urban areas. We consider it necessary to not only treat the modelling of the outflow in riverbeds and outside riverbeds.together but to integrate them thoroughly. We simulate the propagation in riverbed of the flood event with a model solving the equations of De Saint Venant with the explicit scheme at the finite differences by McCormack. The propagation outside the riverbed is simulated using an algorithm proposed by Braschi et al. (1990). This algorithm is based on a local discretization of the urban territory, divided in a series of "tanks" and "channels". Each tank is associated with an area of an extension related to the position of the other tanks and the quantity of buildings, modelled as insurmountable obstacles. The model facilitates the simultaneous performance of the two simulations: at each instant, the quantitiy of water overflow, depending on the piezometric level in every section, is calculated as a function of the dimensions of the weirs (the banks), assuming it passes through the critical state. Then, it is transferred to the tanks placed in the surroundings of the overflow points. Those points are the starting nodes for the propagation of the flood because they are connected to the network of tanks in which the surrounding land has been schematised. In this paper, we present a comparison of one of the most powerful models of inundation simulation in urban and no-urban areas. The field area is the city of Albenga (SV, Italy) and the simulated event is the inundation of the 1994 (return period of about 25 years).


Bionorte ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 82-88
Author(s):  
Géssica Priscilla de Oliveira Queiroz

Objective:to evaluate the strength and balance of women over 50 years old, with osteoporosis,Pilates practitioners,in the city of Pirapora -MG. Materials and Methods: it is a descriptive, cross-sectional study, with conveniencesampling, represented by 10 elderly women with osteoporosis,who practice Pilates. Lower limb strength was assessed by means ofthe Sit and Stand test;static balance, byusing the Flamingo Position test;and dynamic balance,withthe Timed Up and Gotest. Results:the Sit and Stand Chair test,with an average of 8.4±2.7 repetitions, indicated “risk zone” for the development of dependence on activities of daily life. In the Flamingo Position test, the most frequent oscillation values were fixed at the “Strong” level,with 4.2±1.4 oscillations in60 seconds, indicating good performance. The Timed Up and Gotest presentedperformances inan average of 12.7±2.4 seconds, indicating “low risk for falls”. Conclusion:elderly women with osteoporosis, Pilates practitioners, presented weakness of the lower limbs but good static and dynamic balance. Even with a low risk of developing falls, they remain in the “risk zone” to develop dependence on daily activities.


2016 ◽  
Vol 2 (3) ◽  
pp. 109 ◽  
Author(s):  
RajendranSobha Ajin ◽  
Ana-Maria Loghin ◽  
PadmakumariGopinathan Vinod ◽  
MathewKarumamkott Jacob

2018 ◽  
Vol 3 (3) ◽  
pp. 97-103 ◽  
Author(s):  
Bernard Essel

Flooding is one of the most dangerous natural hazards which causes economic losses and death globally. In the last three decades,there has been a rise in flooding events globally. Furthermore, it has been projected that the occurrence of flooding is expectedto rise due to urbanization, haphazard development, rise in precipitation and deforestation. Floods in Kumasi have become aperennial phenomenon. This has caused significant damages to properties and financial losses. The research utilized a geographicinformation system through a modelling approach to map flood hazard and assess risk in Kumasi. The results reveal that inthe study, 53% of the entire area was found to be highly susceptible to flooding. In addition, 35% of the population are athigh risk of flooding. The high-risk zone was found to cover the north – western and the city centre. Also, the city centre wasidentified to be highly prone to flooding and also floods are likely to occur in the rainy season. Moreover, Bantama and Subinwere identified to be at more risk of flooding as compared to the other sub- metros. The results from the flood hazard map andthe risk map suggest flooding in Kumasi is of critical concern and thus flood management strategies need to be implemented.


2020 ◽  
pp. 371-377
Author(s):  
Mohammad Yasir Ahmad ◽  
Nikhat Hassan Munim

The approach of Remote Sensing (RS) and Geographical Information System (GIS) for the preparation of land use land cover (LULC) mapping is an essential aspect of planning and development activities for earth resource management. This paper investigates land use land cover (LULC) map of Patna Municipal Corporation (PMC), Patna, Bihar, India. The City Patna (PMC) is a fast developing city and emerging economic centre in Bihar. The population of the city (PMC) is growing day by day, and rapid migration from the different parts of the Bihar resulted from rapid urbanization. We offer RS and GIS techniques delineated different LULC of the PMC study area. LULC was done through False Color Composite (FCC) Satellite Image, Resourcesat-2A Linear Imaging Self Scanning Sensor IV (LISS-IV) with 5.8-meter spatial resolution data of the year 2018. The supervised classification and maximum likelihood classification were used to classified LISS IV images. The LULC map was created five different classes identified water bodies, agriculture land, fallow land, wasteland, built-up land, and vegetation of the study area. The advantages of MLC method in which a pixel with the maximum likelihood is classified into the corresponding class based on a probability function determines the variance and covariance of each theme. The LULC result showed that maximum area under PMC was covered with a built-up area of 70.80 Sq. Km. is higher than the others because of the rapidly growing population. Agriculture land, fallow land, and vegetation occupied area of 31.7 Sq.Km., while the wasteland constituted around 11.86 Sq. Km and water bodies covered around 5.8 Sq.Km. The accuracy was done through field verification and Satellite (Google) image.


2019 ◽  
Vol 12 (1) ◽  
pp. 240 ◽  
Author(s):  
Abdelaziz Elfadaly ◽  
Ayaat Shams eldein ◽  
Rosa Lasaponara

Historic Jeddah is located on the eastern shore of the Red Sea. Historic Jeddah was designated as a UNESCO world heritage site in 2014. The new urban development for the city of Jeddah has resulted in different spatial patterns. The southern part of Jeddah city falls within the moderate zone, because this area is well developed in regard to infrastructure with rainstorm and sewage networks. The middle area of the city falls within high vulnerability risk due to its high population, shallow water depth, flat slopes, and various incomplete network services (i.e., leakage from septic tanks and water pipes). The western and northwestern parts of the city are subject to very high pollution risk, due to the highly permeable area with coralline formation, very shallow water depth, and depressions. Unfortunately, historic Jeddah has been affected by the unplanned development and shallow water depth. Most of the construction and decoration of the ancient buildings are suffering from deterioration. The paper aims to detect the environmental changes, assessing the geo-environmental status, and creating some of the innovative solutions while using the integration between remote sensing and GIS techniques. The combination of SRTM, Corona 1966, Spot 1986, Landsat 1987, Orbview 2003, and Sentinel2A 2017 data will help in monitoring the changes around the study area. The Bands combination and the spatial statistical analysis are considered to be the most effective methods in the examination of the new built-up indices. GIS techniques and some models would be suggested as solutions to protect the archaeological area, according to UNESCO recommendations.


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