scholarly journals Data base and erosion risk map creation at Trichonida lake using fuzzy sets and G.I.S.

2001 ◽  
Vol 34 (1) ◽  
pp. 443
Author(s):  
Β. ΣΑΜΠΩ ◽  
Θ. ΓΚΟΥΡΝΕΛΟΣ ◽  
Ν. ΕΥΕΛΠΙΔΟΥ ◽  
Α. ΒΑΣΙΛΟΠΟΥΛΟΣ
Keyword(s):  
Data Base ◽  
Drainage Basin ◽  
Environmental Data ◽  
Primary Data ◽  
Data Sets ◽  
Risk Map ◽  
Thematic Maps ◽  
Thematic Map ◽  
Erosion Risk ◽  
Input Variables

Trichonida lake has an area of 96,17Km2 and is situated at Etoloakarnania prefecture. In this study a data base has been developed, on geological, geomorphological and environmental data, concerning the wider zone around Trichonida lake. Different thematic maps have been created, using as input variables, the GIS database fields and the statistical analysis output from the MathLab software. Using MathLab software, the primary data has been transformed into fuzzy data sets and for each drainage basin an erodibility value was calculated. The final thematic map, present the erodibility values of each drainage basin. Such geographical GIS databases may be used in local or regional level for the study of erodibility problems, the development of thematic maps and moreover to decision support systems.

scholarly journals Using the analytic hierarchy process to create an erosion risk map. A case study in Malakasiotiko stream, Trikala perfecture

2007 ◽  
Vol 40 (4) ◽  
pp. 1904 ◽  
Author(s):  
G. Bathrellos ◽  
H. Skilodimou
Keyword(s):  
Land Use ◽  
Analytic Hierarchy Process ◽  
Land Use Planning ◽  
Drainage Basin ◽  
Drainage Density ◽  
Risk Map ◽  
Analytic Hierarchy ◽  
Erosion Risk ◽  
The Impact ◽  
Hierarchy Process

This study is aimed at the evaluation of the erosion risk at the drainage basin of Malakasiotiko stream in Trikala prefecture, using a Geographic Information System (GIS). A database from six factors that influence erosion namely slope, lithology, drainage density, tectonic features density, land use and rainfall inserted into GIS. Each factor was grouped in various classes. A method known as Analytic Hierarchy Process (ΑΗΡ) was applied to rate the individual classes of each factor and weight the impact of one factor against the other in order to determination their importance to erosion process. The results of the ΑΗΡ application in combination with GIS techniques were used to estimate the overall erosion risk and create the erosion risk map. The study area was divided into three zones of erosion risk. High erosion risk zones are mostly located on the northwest, west and south parts of the drainage basin of Malakasiotiko stream. The erosion risk map of the study area can be a useful geologic and géomorphologie criterion for the land use planning.

scholarly journals Developing a neuro–fuzzy system to classify drainage sub-basins according to erosion processes on the Island of Lefkas, Greece

2018 ◽  
Vol 20 (1) ◽  
pp. 79-89
Author(s):  
Niki EVELPIDOU ◽  
Theodoros GOURNELOS ◽  
Anna KARKANI ◽  
Eirini KARDARA
Keyword(s):  
Fuzzy System ◽  
Drainage Basin ◽  
Fuzzy Inference ◽  
Drainage Basins ◽  
Erosion Risk ◽  
Erosion Processes ◽  
Neuro Fuzzy ◽  
Multistep Procedure ◽  
Input Variables ◽  
Fuzzy Inference Mechanism

In this paper we attempt to classify drainage sub-basins according to their erosion risk. We have adopted a multistep procedure to face this problem. The input variables were introduced into a GIS – platform. These variables were the vulnerability of the surface rocks to erosion, topographic variations, vegetation cover, land use and drainage basin characteristics. We constructed a fuzzy inference mechanism to pre-process the input variables. Next we used neural–network technology to process the input variables. The system was trained to ‘learn’ and classify the input data. The output of this procedure was a classification of the sub-drainage basins related to their risk of erosion. This neuro–fuzzy system was applied to the island of Lefkas (Greece).

Offshore Monitoring of Snorre A TLP TTR Jumpers

2015 ◽  
Author(s):  
Phelim Rooney ◽  
Christoffer Nilsen-Aas ◽  
Haavard Skjerve ◽  
Kristin Nedrelid ◽  
Nils Gunnar Viko
Keyword(s):  
Data Base ◽  
Significant Wave Height ◽  
Environmental Data ◽  
Life Extension ◽  
Data Sets ◽  
Analysis Model ◽  
Peak Period ◽  
Wave Measurement ◽  
Motion Responses ◽  
Flexible Jumper

Four sensors were installed on the Snorre A TLP (Tension Leg Platform) on 16th April 2014 and retrieved on 10th May 2014, to document motions of the vessel, top tensioned riser (TTR) and flexible jumper connecting the TTR (Top Tensioned Riser) with the topside piping. The data recorded represents 3828 data sets. Associated significant wave height and peak period is synchronous data extracted from the Miros wave measurement radar and stored in the environmental data base. The SmartMotion riser sensors are certified for service in the Wellbay. The sensors are modelled into the OrcaFlex (1) “calibration” analysis model in order to simulate the motion responses in the same format as recorded offshore (accelerations and rates of rotation), and to carry out verification of the OrcaFlex model by comparing both raw data and filtered/integrated derivatives. This work provides a basis for life extension of the Jumpers and provides valuable feedback to design and analysis of TLP and Spar Jumpers between TTRs and topside Headers.

scholarly journals Conditions for soil erosion by water in the upper Parsęta catchment

2018 ◽  
Vol 36 ◽  
pp. 55-69
Author(s):  
Józef Szpikowski ◽  
Mikołaj Majewski ◽  
Wojciech Madaj
Keyword(s):  
Soil Erosion ◽  
Catchment Area ◽  
Risk Map ◽  
Thematic Maps ◽  
Slope Gradient ◽  
Lake District ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
Steep Slopes ◽  
Soil Erosion By Water

The paper presents potential soil erosion risk of the upper Parsęta catchment (Drawskie Lake District, NW Poland). The model considers following conditions affecting the size of soil erosion: slope gradient, LS factor, lithology, land use and land cover. Thematic maps have been reclassified into a 4-degree division. Potential soil erosion risk map was prepared on the basis of thematic maps. Areas with small and moderate susceptibility to soil erosion occupy 71.5% of the catchment area. The 4th class of erosiveness is represented by the river valley slopes, steep slopes of kame and moraine hills, covering 28.5% of the upper Parsęta catchment.

A Primer on the Assessment of Economic Impacts of Leisure Events

2020 ◽  
Vol 24 (1) ◽  
pp. 47-56
Author(s):  
Ove Oklevik ◽  
Grzegorz Kwiatkowski ◽  
Mona Kristin Nytun ◽  
Helene Maristuen
Keyword(s):  
Impact Assessment ◽  
Economic Impact ◽  
Study Design ◽  
Impact Analysis ◽  
Sensitivity Analyses ◽  
Primary Data ◽  
Music Festival ◽  
Economic Impact Analysis ◽  
Economic Impact Assessment ◽  
Input Variables

The quality of any economic impact assessment largely depends on the adequacy of the input variables and chosen assumptions. This article presents a direct economic impact assessment of a music festival hosted in Norway and sensitivity analyses of two study design assumptions: estimated number of attendees and chosen definition (size) of the affected area. Empirically, the article draws on a state-of-the-art framework of an economic impact analysis and uses primary data from 471 event attendees. The results show that, first, an economic impact analysis is a complex task that requires high precision in assessing different monetary flows entering and leaving the host region, and second, the study design assumptions exert a tremendous influence on the final estimation. Accordingly, the study offers a fertile agenda for local destination marketing organizers and event managers on how to conduct reliable economic impact assessments and explains which elements of such analyses are particularly important for final estimations.

PWA OF πN SCATTERING WITH FIXED-t DISPERSION RELATIONS

2005 ◽  
Vol 20 (08n09) ◽  
pp. 1810-1813
Author(s):  
PEKKO PIIROLA ◽  
M. E. SAINIO
Keyword(s):  
Data Base ◽  
Forward Direction ◽  
Dispersion Relations ◽  
Data Sets ◽  
Coupling Constant ◽  
Partial Waves ◽  
Scattering Measurements ◽  
Pion Nucleon ◽  
Good Agreement

The πN scattering measurements from last couple of decades are not in very good agreement with each other. In fact, using the different data sets one finds different values for the pion-nucleon coupling constant. An analysis with theoretical constraints is the only way to produce accurate partial waves. In this analysis, the fixed-t dispersion relations are used to ensure analyticity in the invariant amplitudes and to decrease the effects of inaccuracies in the data base. Pietarinen's expansion is the method used to enforce the dispersion constraints. The strength of the analyticity constraints is illustrated with C± amplitudes in the forward direction.

scholarly journals Modeling the Costs of Hospital-Acquired Infections in New Zealand

2003 ◽  
Vol 24 (3) ◽  
pp. 214-223 ◽  
Author(s):  
Nicholas Graves ◽  
Tanya M. Nicholls ◽  
Arthur J. Morris
Keyword(s):  
New Zealand ◽  
Economic Cost ◽  
Cost Effective ◽  
Sensitivity Analyses ◽  
Primary Data ◽  
Health Board ◽  
District Health ◽  
Hospital Acquired Infections ◽  
Input Variables ◽  
Hospital Acquired

AbstractObjective:To model the economic costs of hospital-acquired infections (HAIs) in New Zealand, by type of HAI.Design:Monte Carlo simulation model.Setting:Auckland District Health Board Hospitals (DHBH), the largest publicly funded hospital group in New Zealand supplying secondary and tertiary services. Costs are also estimated for predicted HAIs in admissions to all hospitals in New Zealand.Patients:All adults admitted to general medical and general surgical services.Method:Data on the number of cases of HAI were combined with data on the estimated prolongation of hospital stay due to HAI to produce an estimate of the number of bed days attributable to HAI. A cost per bed day value was applied to provide an estimate of the economic cost. Costs were estimated for predicted infections of the urinary tract, surgical wounds, the lower and upper respiratory tracts, the bloodstream, and other sites, and for cases of multiple sites of infection. Sensitivity analyses were undertaken for input variables.Results:The estimated costs of predicted HAIs in medical and surgical admissions to Auckland DHBH were $10.12 (US $4.56) million and $8.64 (US $3.90) million, respectively. They were $51.35 (US $23.16) million and $85.26 (US $38.47) million, respectively, for medical and surgical admissions to all hospitals in New Zealand.Conclusions:The method used produces results that are less precise than those of a specifically designed study using primary data collection, but has been applied at a lower cost. The estimated cost of HAIs is substantial, but only a proportion of infections can be avoided. Further work is required to identify the most cost-effective strategies for the prevention of HAI.

scholarly journals An Environmental GIS-based Variable Analysis of SARS-CoV-2 in the City of Recife, Brazil

2020 ◽  
Author(s):  
Arthur Souza ◽  
Caroline Mota ◽  
Amanda Rosa ◽  
Ciro Figueiredo ◽  
Ana Lucia Candeias
Keyword(s):  
Low Income ◽  
Public Services ◽  
Spatial Regression ◽  
Case Fatality ◽  
Global Scale ◽  
Environmental Data ◽  
Data Sets ◽  
Spatial Regression Analysis ◽  
Effective Drugs ◽  
The City

Abstract Background: Given the increasing rates at which cases of people infected by Covid-19 have been evolving to case-fatality rates on a global scale and the context of there being a world-wide socio-economic crisis, decision-making must be undertaken based on prioritizing effective measures to control and combat the disease since there is a lack of effective drugs and as yet no vaccine. Method: This paper explores the determinant factors of the COVID-19 pandemic and its impacts on Recife, Pernambuco-Brazil by performing both local and global spatial regression analysis on two types of environmental data-sets. Data were obtained from ten specific days between late April and early July 2020, comprehending the ascending, peak and descending behaviours of the curve of infections.Results: This study highlights the importance of identifying and mapping clusters of the most affected neighbourhoods and their determinant effects. We have identified that it is increasingly common for there to be a phase in which hotspots of confirmed cases appear in a well-developed and heavily densely-populated neighbourhood of the city of Recife. From there, the disease is carried to areas characterised by having a precarious provision of public services and a low-income population and this quickly creates hotspots of case-fatality rates. The results also help to understand the influence of the age, income, level of education of the population and, additionally, of the extent to which they can access public services, on the behaviour of the virus across neighbourhoods.Conclusion: This study supports government measures against the spread of Covid-19 in heterogeneous cities, evidencing social inequality as a driver for a high incidence of fatal cases of the disease. Understanding the variables which influence the local dynamics of the virus spread becomes vital for identifying the most vulnerable regions for which prevention actions need to be developed.

scholarly journals The application of algorithm for introduction of the automatization in process of symbol-scale mapping

2010 ◽  
Vol 90 (3) ◽  
pp. 239-256
Author(s):  
Natasa Urosev
Keyword(s):  
Thematic Maps ◽  
Main Subject ◽  
Thematic Map ◽  
Thematic Mapping ◽  
Two Factors ◽  
Gis Software ◽  
Qualitative Characteristics

Beside the main subject, this paper will present principals of average graphical weight of thematic map. The algorithm is based on this subject and also on basics of symbol-scaled(2) mapping. Maps are very often overloaded by symbols. The main goal of thematic mapping is to represent the quantitative and qualitative characteristics of the occurrences in geospace. These two factors are combined in this algorithm. Modern GIS software has possibility to create thematic maps by methods of signs, cartograms and cart diagrams. These are very precise maps and they are presenting distinctive occurrence but also very graphical chaotic with lot of overcastted areas that are overloading the map. These are the reasons why it?s necessary to create this algorithm which would give some balance among boundaries of thematic map area.

scholarly journals ZONA POTENSIAL PENANGKAPAN IKAN BERDASARKAN MUSIM DI WPPNRI 718

2018 ◽  
Vol 10 (3) ◽  
pp. 757-768
Author(s):  
Robert Tambun ◽  
Domu Simbolon ◽  
Ronny Wahju ◽  
. Supartono
Keyword(s):  
Secondary Data ◽  
Pilot Project ◽  
East Timor ◽  
Primary Data ◽  
Potential Zone ◽  
Thematic Map ◽  
Computer Laboratory ◽  
Timor Sea ◽  
Chlorophyll A Content ◽  
Water Depths

ABSTRAKPenelitian ini dipresentasikan sebagai langkah awal (pilot project) dalam pengelolaan daerah penangkapan ikan berbasis spasial untuk Zona Potensial Penangkapan Ikan (ZPPI) di laut Aru, Laut Arafuru dan laut Timor bagian timur (WPPNRI 718). Lokasi pada  128°-141° BT (Bujur Timur) dan 4° -11° LS (Lintang Selatan). Tujuan dari penelitian ini adalah membuat peta tematik ZPPI yang lebih komperehensif dan mengidentifikasi ZPPI berdasarkan musim pada wilayah perairan yang lebih spesifik. Penelitian ini dilakukan pada bulan Januari sampai dengan November 2016. Lokasi pengolahan data dilakukan di Laboratorium Komputer Departemen PSP FPIK-IPB. Data primer yang digunakan yakni informasi daerah penangkapan ikan yang berasal dari PPDPI (KKP) pada periode tahun 2013-2016, data sekunder dari Peta Laut digitizer Hidros no. 151 Papua dan Pulau-Pulau sekitarnya. Analisis dan pembuatan peta tematik menggunakan software MapInfo Pro 15. Hasil total ZPPI untuk musim pancaroba 1 (297 ZPPI), musim barat (264 ZPPI), musim timur (166 ZPPI), dan musim pancaroba 2 (86 ZPPI). Total ZPPI berdasarkan wilayah perairan pada Laut Aru (507 ZPPI), Laut Arafuru (261 ZPPI), dan Laut Timor (45 ZPPI), laut Aru dan laut Arafuru merupakan daerah penangkapan ikan yang potensial karena kesuburan perairan (kandungan klorofil-a yang tinggi), kedalaman perairan yang relatif dangkal dan munculnya fenomena upwelling. ABSTRACTThis study was presented as a pilot project in the management of spatially based fishing grounds for the Fish Catching Potential Zone (FCPZ) in the Aru Sea, Arafuru Sea and East Timor Sea (WPPNRI 718). Located at 128°-141° East (East Longitude) and 4°-11° South (South Latitude). The purpose of this study is to make a more comprehensive FCPZ thematic map and identify FCPZ based on the seasons in more specific waters. This research was conducted from January to November 2016. The location of data processing was carried out at the Computer Laboratory of the Department of PSP FPIK-IPB. The primary data used are information on fishing grounds originating from PPDPI (KKP) in the 2013-2016 period, secondary data from the Sea Map of the Hidros digitizer no.151 Papua and the surrounding Islands. Analysis and thematic map creation using MapInfo Pro 15 software. Total ZPPI results for transition season 1 (297 FCPZ), west season (264 FCPZ), east season (166 FCPZ), and transition 2 (86 FCPZ). Total FCPZ based on the territorial waters of the Aru Sea (507 FCPZ), Arafuru Sea (261 FCPZ), and the Timor Sea (45 FCPZ), Aru sea and Arafuru sea are potential fishing grounds due to aquatic fertility (high chlorophyll-a content), relatively shallow water depths and the emergence of upweling phenomena.

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