Principal component analysis of urban traffic characteristics and meteorological data

2003 ◽  
Vol 8 (4) ◽  
pp. 285-297 ◽  
Author(s):  
S.M Shiva Nagendra ◽  
Mukesh Khare
Keyword(s):  
Principal Component Analysis ◽  
Meteorological Data ◽  
Principal Component ◽  
Component Analysis ◽  
Urban Traffic ◽  
Traffic Characteristics

scholarly journals Finding Clog Models for the Urban Traffic Blocking & Assessment of Corridors

2019 ◽  
Vol 8 (11S2) ◽  
pp. 464-467
Keyword(s):  
Principal Component Analysis ◽  
Land Use ◽  
Regression Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Urban Traffic ◽  
Current Paper ◽  
Urban Travel ◽  
Travelling Time ◽  
Telangana State

Urban travel blockage is one of the serious issues which are affecting travelling time. This impact is on economical ability of transportable, non-element of condition, psychosomatic stresses and a movement irregularity on movement. There is a need to indentify clog models for the remarkable impact boil down in peak hour gridlock. The blockage standards can be followed the characteristic located on street with hustle. The clog is created with the overhead conveyed with inconsistent factors and show the way to the fate. These aspects are revealed that they are because of impact of certain trademark impact from elements of land use, street symmetrical, and commute and street organize attributes. This research is encircled on with the staggered distressing variables. GPS information, GIS support tactic is proposed in the assessment for information and a clog model is related to discover clog factors. The current paper compacts with the deliberate the blockage criterions, and clog produced factors for the Dilsukhnagar zone (Gaddianaram region) Hyderabad, Telangana State, INDIA using Principal Component Analysis (PCA) and regression analysis.

scholarly journals Multi-trait Analysis of Agroclimate Variations During the Growing Season in East-Central Poland (1971-2005)

2015 ◽  
Vol 29 (2) ◽  
pp. 213-219 ◽  
Author(s):  
Elżbieta Radzka ◽  
Katarzyna Rymuza
Keyword(s):  
Principal Component Analysis ◽  
Air Temperature ◽  
Meteorological Data ◽  
Principal Component ◽  
Growing Season ◽  
Component Analysis ◽  
The South ◽  
East Central ◽  
Central Poland ◽  
The North

Abstract The work is based on meteorological data recorded by nine stations of the Institute of Meteorology and Water Management located in east-central Poland from 1971 to 2005. The region encompasses the North Podlasian Lowland and the South Podlasian Lowland. Average values of selected agroclimate indicators for the growing season were determined. Moreover, principal component analysis was conducted to indicate elements that exerted the greatest influence on the agroclimate. Also, cluster analysis was carried out to select stations with similar agroclimate. Ward method was used for clustering and the Euclidean distance was applied. Principal component analysis revealed that the agroclimate of east-central Poland was predominantly affected by climatic water balance, number of days of active plant growth, length of the farming period, and the average air temperature during the growing season (Apr-Sept). Based on the analysis, the region of east-central Poland was divided into two groups (areas) with different agroclimatic conditions. The first area comprized the following stations: Szepietowo and Białowieża located in the North Podlasian Lowland and Biała Podlaska situated in the northern part of the South Podlasian Lowland. This area was characterized by shorter farming periods and a lower average air temperature during the growing season. The other group included the remaining stations located in the western part of both the Lowlands which was warmer and where greater water deficits were recorded.

To what extent can the synoptic weather explain high PM2.5 pollution in Seoul?

2020 ◽  
Author(s):  
limseok chang ◽  
hyunkee hong ◽  
cheolhee kim
Keyword(s):  
Principal Component Analysis ◽  
Pattern Classification ◽  
Meteorological Data ◽  
Emission Control ◽  
Principal Component ◽  
Component Analysis ◽  
Weather Pattern ◽  
Synoptic Weather ◽  
Radiosonde Observation ◽  
Pm2.5 Concentration

<p>The change in PM level is the combined result of meteorological change and emission control. Meteorological change can strengthen or weaken the effectiveness of emission control. We applied an empirical and a statistical method to understand the effect of the meteorological variables on high PM2.5 event. A major meteorological mode associated with synoptic weather pattern that governs the high PM2.5 concentration in Seoul was identified through the empirical synoptic weather pattern classification and principal component analysis and regression. We used 2016-2018 PM2.5 observations from ~110 sites and 1 surface meteorological observation and 1 radiosonde observation within Seoul Metropolitan Area (SMA). Fifty cases with high PM2.5 concentration in SMA were selected in 2016 for the empirical weather pattern classification, and observed PM2.5 and meteorological data during 2017 ~ 2018 for the principal component analysis and regression.</p><p>As a result, a total of six synoptic weather patterns were derived, which was in agreement with the dominant meteorological mode of principal component analysis and regression. The dominant meteorological consists of high temperature at 850hPa, high geopotential height at 500hPa, high surface temperature, low wind speed at both surface and 850 hPa. The meteorological modes associated with the six patterns account for more than 90% of all high PM2.5 pollution days. Our results suggest that major synoptic weather modes can be used to easily predict high dust concentration potentials compared to WRF-SMOKE-CMAQ based air quality forecasting models.</p>

A German version of the Intermittent Claudication Questionnaire (ICQ): cultural adaptation and validation

VASA ◽  
2012 ◽  
Vol 41 (5) ◽  
pp. 333-342 ◽  
Author(s):  
Kirchberger ◽  
Finger ◽  
Müller-Bühl
Keyword(s):  
Principal Component Analysis ◽  
Intermittent Claudication ◽  
Completion Time ◽  
Short Form ◽  
Principal Component ◽  
Component Analysis ◽  
German Version ◽  
Average Completion Time ◽  
Sf 36 ◽  
Related Quality

Background: The Intermittent Claudication Questionnaire (ICQ) is a short questionnaire for the assessment of health-related quality of life (HRQOL) in patients with intermittent claudication (IC). The objective of this study was to translate the ICQ into German and to investigate the psychometric properties of the German ICQ version in patients with IC. Patients and methods: The original English version was translated using a forward-backward method. The resulting German version was reviewed by the author of the original version and an experienced clinician. Finally, it was tested for clarity with 5 German patients with IC. A sample of 81 patients were administered the German ICQ. The sample consisted of 58.0 % male patients with a median age of 71 years and a median IC duration of 36 months. Test of feasibility included completeness of questionnaires, completion time, and ratings of clarity, length and relevance. Reliability was assessed through a retest in 13 patients at 14 days, and analysis of Cronbach’s alpha for internal consistency. Construct validity was investigated using principal component analysis. Concurrent validity was assessed by correlating the ICQ scores with the Short Form 36 Health Survey (SF-36) as well as clinical measures. Results: The ICQ was completely filled in by 73 subjects (90.1 %) with an average completion time of 6.3 minutes. Cronbach’s alpha coefficient reached 0.75. Intra-class correlation for test-retest reliability was r = 0.88. Principal component analysis resulted in a 3 factor solution. The first factor explained 51.5 of the total variation and all items had loadings of at least 0.65 on it. The ICQ was significantly associated with the SF-36 and treadmill-walking distances whereas no association was found for resting ABPI. Conclusions: The German version of the ICQ demonstrated good feasibility, satisfactory reliability and good validity. Responsiveness should be investigated in further validation studies.

Sign in / Sign up

Export Citation Format

Share Document