scholarly journals Impacts of Urban Floods on Road Connectivity - A Review and Systematic Bibliometric Analysis

2021 ◽  
Vol 16 (2) ◽  
pp. 575-593 ◽  
Author(s):  
Ashok Kadaverugu ◽  
Kasi Viswanadh Gorthi ◽  
Nageshwar Rao Chintala
Keyword(s):  
Geographical Information Systems ◽  
Early Warning Systems ◽  
Data Availability ◽  
Geographical Information ◽  
Economic Losses ◽  
Flood Inundation ◽  
Risk Modeling ◽  
Urban Centers ◽  
Urban Floods ◽  
Remote Sensing Methods

Urban floods are paralyzing surface transportation and inflicting heavy economic losses. Climate-induced increase in frequency and intensity of rainfalls and excessive urbanization makes urban centers even more vulnerable to floods. It is necessary to quantify all dimensions of losses caused to road connectivity to improve flood mitigation policy. There is a need to consolidate the existing body of peer-reviewed contemporary literature on flood inundation modeling and its impacts on road connectivity. This will improve the awareness of policymakers and researchers and help in science-based decision making. Articles archived in the Web of Science database having the keywords floods and road in their title published between 1977 and 2020 were analyzed using the blibliometrix library of R. Analysis shows that the flood inundation and flood extent modeling has evolved from the conventional hydrological models to the near real-time crowd-sourced modeling methods. Applications of geographical information systems and advanced remote sensing methods have been growing in identifying road network vulnerabilities. We observed a gap in harmonized data availability, due to the unstructured data formats at several scales, which hinders a generalized approach for flood risk modeling studies for urban planning. Concentrated efforts have to be made to fill the gaps in data availability and research methodologies, especially using crowd-sourced data. Further, efforts have to be made to increase awareness, early warning systems, and alternate transport networks, to make the cities less vulnerable to floods.

scholarly journals Mapping, cluster detection and evaluation of risk factors of ovine toxoplasmosis in Southern Italy

2016 ◽  
Vol 11 (2) ◽  
Author(s):  
Roberto Condoleo ◽  
Vincenzo Musella ◽  
Maria Paola Maurelli ◽  
Antonio Bosco ◽  
Giuseppe Cringoli ◽  
...  
Keyword(s):  
Risk Factors ◽  
Geographical Information Systems ◽  
Southern Italy ◽  
Geographical Information ◽  
Economic Losses ◽  
Common Source ◽  
High Exposure ◽  
Campania Region ◽  
Source Of Infection ◽  
Serological Data

Toxoplasmosis, an important cause of reproductive failure in sheep, is responsible for significant economic losses to the ovine industry worldwide. Moreover, ovine meat contaminated by the parasite <em>Toxoplasma gondii</em> is considered as a common source of infection for humans. The aim of this study was to develop point and risk profiling maps of <em>T. gondii</em> seroprevalence in sheep bred in Campania Region (Southern Italy) and analyse risk factors associated at the flock-level. We used serological data from a previous survey of 117 sheep flocks, while environmental and farm management information were obtained from an analysis based on geographical information systems and a questionnaire purveyance, respectively. An univariate Poisson regression model revealed that the type of farm production (milk and meat vs only meat) was the only independent variable associated with <em>T. gondii</em> positivity (P&lt;0.02); the higher within-flock seroprevalence in milking herds suggests that milking practices might influence the spread of the infection on the farm. Neither environmental nor other management variables were significant. Since a majority of flocks were seasonally or permanently on pasture, the animals have a high exposure to infectious <em>T. gondii</em> oocysts, so the high within-flock seroprevalence might derive from this management factor. However, further studies are needed to better assess the actual epidemiological situation of toxoplasmosis in sheep and to clarify the factors that influence its presence and distribution.

Deterministic QRA Model and Implementation Experience via an Integrity Management Software Tool

2010 ◽  
Author(s):  
Jane Dawson ◽  
Iain Colquhoun ◽  
Inessa Yablonskikh ◽  
Russell Wenz ◽  
Tuan Nguyen
Keyword(s):  
Risk Assessment ◽  
Geographical Information Systems ◽  
Risk Model ◽  
Software Tool ◽  
Data Availability ◽  
Quantitative Risk Assessment ◽  
Geographical Information ◽  
Failure Rates ◽  
Assessment Practice ◽  
Integrity Management

Current risk assessment practice in pipeline integrity management tends to use semi-quantitative index-based or model-based methodologies. This approach has been found to be very flexible and provide useful results for identifying high-risk areas and for prioritizing physical integrity assessments. However, as pipeline operators progressively adopt an operating strategy of continual risk reduction with a view to minimizing total expenditures within safety, environmental, and reliability constraints, the need for quantitative assessments of risk levels is becoming evident. Whereas reliability-based quantitative risk assessments can be and are routinely carried out on a site-specific basis, they require significant amounts of quantitative data for the results to be meaningful. This need for detailed and reliable data tends to make these methods unwieldy for system-wide risk assessment applications. This paper describes methods for estimating risk quantitatively through the calibration of semi-quantitative estimates to failure rates for peer pipeline systems. By applying point value probabilities to the failure rates, deterministic quantitative risk assessment (QRA) provide greater rigor and objectivity than can usually be achieved through the implementation of semi-quantitative risk assessment results. The method permits a fully quantitative approach to suit the operator’s data availability and quality, and analysis needs. The paper also discusses experiences of implementing this type of risk model in Pipeline Integrity Management System (PIMS) software and the use of and integration of data via existing pipeline geographical information systems (GIS).

scholarly journals Detection of ionospheric signatures from GPS-derived total electron content maps

2014 ◽  
Vol 4 (1) ◽  
Author(s):  
T. Durgonics ◽  
G. Prates ◽  
M. Berrocoso
Keyword(s):  
Total Electron Content ◽  
Geographical Information Systems ◽  
Measurement Data ◽  
Early Warning Systems ◽  
Global Navigation Satellite Systems ◽  
Geographical Information ◽  
Electron Content ◽  
Total Electron ◽  
Lorca Earthquake ◽  
Satellite Systems

AbstractThe processing of measurement data from satellite constellations such as Global Navigation Satellite Systems (GNSS), including the well-known Global Positioning System (GPS), have been successfully applied to virtually all areas of geophysical sciences. In this work, a method is described where Geographical Information Systems (GIS) are employed to build hourly ionospheric Total Electron Content (TEC) maps for 2011 over the southern Iberian Peninsula. The maps used GPS-derived geometryfree linear combinations attained from station data from the Algarve, Alentejo (Portugal), Andalusia, Murcia and Valencia (Spain) regions. Following the construction of the ionospheric maps, it was possible to relate these results to natural phenomena. The observed phenomena included diurnal and seasonal variations: daytime TEC maxima, nighttime TEC peaks, summer TEC value decreases, and spring and fall TEC maxima. After validation of these periodic phenomena, detection of non-periodic changes, such as solar flares and tectonic interactions with the ionosphere were attempted. The results showed a TEC increase following a selected solar flare event and a potential TEC build-up prior to the 2011 Lorca earthquake. Further studies could open up the possibility of building early warning systems. The presented methods, based on available software packages, are also of value in monitoring the effect of the ionosphere on radio signals, satellite and mobile communication, power grids, and for accurate GNSS navigation.

scholarly journals HYPER SPECTRAL REMOTE SENSING FOR DAMAGE DETECTION AND CLASSIFICATION MODELS IN AGRICULTURE - A REVIEW

2021 ◽  
Vol 9 (1) ◽  
pp. 380-386
Author(s):  
Akshay Dhande, Rahul Malik
Keyword(s):  
Remote Sensing ◽  
Precision Agriculture ◽  
Geographical Information Systems ◽  
Agricultural Sector ◽  
Multiple Scales ◽  
Agricultural Practices ◽  
Geographical Information ◽  
Positioning Systems ◽  
Remote Sensing Techniques ◽  
Remote Sensing Methods

Agriculture is the pillar of the financial system of any country and it's far enormously crucial for financial improvement and social stability. Remote sensing has numerous benefits within the discipline of agronomical studies purpose.  Remote sensing has the capacity to face this big obstacle in the evolutionary changes in agricultural practices, by delivering recurrent information on crop condition at multiple scales and for different actors during the season. Because of the rapid changes in farming started from mid to past 1980, remote sensing has become an indispensable a part of precision agriculture. Agricultural systems need to be monitored in regular interval. Remote sensing act as vital method in well timed tracking and provides a correct snapshot of the agricultural with good accuracy. The tracking of agricultural strongly follows seasonal patterns on the subject of the organic life of crops. Because of this background we studied various remote sensing methods like crop classification, crop tracking and yield assessment. We discovered that almost all of the remote sensing methods have been exploratory investigations, examined on a nearby scale with direct dependence on ground data. In tandem with other specialized methods such as geographical information systems and global positioning systems, remote sensing plays an important role in the measurement and monitoring of agricultural activities. We begin this review by presenting an outline of the existing methods of remote sensing relevant to the agricultural sector. This paper analyses remote sensing methods progress, problems and future in agricultural context. This article will offer an outline of commercially remote sensors having high resolution which have been used or have ability for accuracy in collecting agriculture information. Further, overview illustrates current research trends in remote sensing methods that allow reinforcing applicative skills with precise necessities for specific forms of stakeholders. We offer a synthesis of the rising possibilities in remote sensing techniques that have to reinforce the role in imparting long time and efficient services for agricultural purpose. SAR remote sensing techniques have extremely good capability and could play an important role in diverse fields of agricultural remote sensing. Finally, the paper outlines challenges, limitation and future trends of remote sensing methods in crop evaluation. This paper concludes that current utilization of remote sensing methods in crop evaluation still remains in an experimental stage.

Health research based on geospatial tools: a timely approach in a changing environment

2009 ◽  
Vol 84 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Robert Bergquist ◽  
Laura Rinaldi
Keyword(s):  
Disease Surveillance ◽  
Geographical Information Systems ◽  
Weather Forecasting ◽  
Practical Importance ◽  
Epidemiological Data ◽  
Early Warning Systems ◽  
Life Cycles ◽  
Geographical Information ◽  
Surveillance Systems ◽  
Intermediate Hosts

AbstractThe possibilities of disease prediction based on the environmental characteristics of geographical areas and specific requirements of the causative infectious agents are reviewed and, in the case of parasites whose life cycles involve more than one host, the needs of the intermediate hosts are also referred to. The geographical information systems framework includes epidemiological data, visualization (in the form of maps), modelling and exploratory analysis using spatial statistics. Examples include climate-based forecast systems, based on the concept of growing degree days, which now exist for several parasitic helminths such as fasciolosis, schistosomiasis, dirofilariasis and also for malaria. The paper discusses the limits of data collection by remote sensing in terms of resolution capabilities (spatial, temporal and spectral) of sensors on-board satellites. Although the data gained from the observation of oceans, land, elevations, land cover, land use, surface temperatures, rainfall, etc. are primarily for weather forecasting, military and commercial use, some of this information, particularly that from the climate research satellites, is of direct epidemiological utility. Disease surveillance systems and early-warning systems (EWS) are prime examples of academic approaches of practical importance. However, even commercial activities such as the construction of virtual globes, i.e. computer-based models of the Earth, have been used in this respect. Compared to conventional world maps, they do not only show geographical and man-made features, but can also be spatially annotated with data on disease distribution, demography, economy and other measures of particular interest.

scholarly journals Identifying Areas Sensitive to Wind Erosion—A Case Study of the AP Vojvodina (Serbia)

2019 ◽  
Vol 9 (23) ◽  
pp. 5106
Author(s):  
Aleksandar Baumgertel ◽  
Sara Lukić ◽  
Snežana Belanović Simić ◽  
Ratko Kadović
Keyword(s):  
Geographical Information Systems ◽  
Wind Erosion ◽  
Agricultural Land ◽  
Remote Sensing Data ◽  
Research Area ◽  
Geographical Information ◽  
Economic Losses ◽  
Large Area ◽  
Area At Risk ◽  
Entire Area

Wind erosion is one of the most significant forms of land degradation which occurs in arid and semi-arid regions. Agricultural land is significantly affected by wind erosion, which leads to soil quality reduction, and consequently to economic losses. This research was conducted in the autonomous province (AP) of Vojvodina (a region dominated by agriculture), which represents one of the most important economic regions in the Republic of Serbia. The aim of this research was to identify areas sensitive to wind erosion (in the month of March) in the AP Vojvodina by using fuzzy logic, remote sensing data, and geographical information systems (GIS). The data of prior research on erosion sediment were used for results validation. The results show that the hazardous sensitivity category covers approximately 60.41% of the research area, while the medium sensitive category accounts for 36% of the area. These findings are primarily a result of the lack of vegetation in almost the entire area, particularly in wind-exposed agricultural areas with no vegetation, which are being prepared for sowing. Another factor putting such a large area at risk is the unfavorable climate (especially in southeastern parts of the area), and slightly less favorable soil properties in the north. The results of this research could be used in decision-making at the regional level, along with the development and implementation of programs aimed at mitigating the effects of wind erosion.

Assessment of land-use change in coastal areas through geographical information systems

2020 ◽  
Vol 13 (10) ◽  
Author(s):  
Verónica Lango-Reynoso ◽  
Karla Teresa González-Figueroa ◽  
Fabiola Lango-Reynoso ◽  
María del Refugio Castañeda-Chávez ◽  
Jesús Montoya-Mendoza
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Geographical Information Systems ◽  
Design Methodology ◽  
Scientific Information ◽  
Coastal Ecosystems ◽  
Coastal Areas ◽  
Geographical Information ◽  
Coastal Zones ◽  
Computer Based

Objective: This article describes and analyzes the main concepts of coastal ecosystems, these as a result of research concerning land-use change assessments in coastal areas. Design/Methodology/Approach: Scientific articles were searched using keywords in English and Spanish. Articles regarding land-use change assessment in coastal areas were selected, discarding those that although being on coastal zones and geographic and soil identification did not use Geographic Information System (GIS). Results: A GIS is a computer-based tool for evaluating the land-use change in coastal areas by quantifying variations. It is analyzed through GIS and its contributions; highlighting its importance and constant monitoring. Limitations of the study/Implications: This research analyzes national and international scientific information, published from 2007 to 2019, regarding the land-use change in coastal areas quantified with the digital GIS tool. Findings/Conclusions: GIS are useful tools in the identification and quantitative evaluation of changes in land-use in coastal ecosystems; which require constant evaluation due to their high dynamism.

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