scholarly journals Rainfall Pattern Analysis over India in Relation to the State of Kerala

2018 ◽  
Author(s):  
Shajimon K John
Keyword(s):  
Pattern Analysis ◽  
The State ◽  
Rainfall Pattern

Asymmetry of Occipital Alpha-Rhythm under Resting Conditions: A Neurophysiological Measure of “Hemisphericity”

1985 ◽  
Vol 61 (3_suppl) ◽  
pp. 1323-1334 ◽  
Author(s):  
G. Ulrich ◽  
K. Frick
Keyword(s):  
Healthy Subjects ◽  
Alpha Rhythm ◽  
Pattern Analysis ◽  
The State ◽  
Visual Pattern ◽  
Alpha Power ◽  
Recumbent Position ◽  
Individual Analysis ◽  
Left And Right ◽  
Simple Indicator

Using the resting EEGs of 20 healthy subjects in semi-recumbent position with eyes dosed and left undisturbed, we studied the question whether and, if so, to what extent, lateralization of occipital alpha-rhythm depends on level of vigilance. As a simple indicator of vigilance, the relative alpha-power for each 2-sec. epoch of 02-CZ (occipital right) was calculated. Lateralization was defined as the ratio of absolute alpha-powers in 01-CZ and 02-CZ (occipital left and right). This was also calculated epoch by epoch. The results of individual analysis of data from each subject allowed categorization into 3 types. This typological differentiation obtained quantitatively could be supported by visual pattern analysis. The findings are discussed in relation to the state- vs trait-problem which constantly confronts us when we interpret experimentally obtained functional asymmetries of hemispheres.

scholarly journals A Data-Driven Probabilistic Rainfall-Inundation Model for Flash-Flood Warnings

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2534 ◽  
Author(s):  
Tsung-Yi Pan ◽  
Hsuan-Tien Lin ◽  
Hao-Yu Liao
Keyword(s):  
Pattern Analysis ◽  
Flash Flood ◽  
Numerical Models ◽  
Training Data ◽  
Rainfall Pattern ◽  
Data Driven ◽  
Support Vector ◽  
Threshold Method ◽  
Inundation Model ◽  
Flood Warnings

Owing to their short duration and high intensity, flash floods are among the most devastating natural disasters in metropolises. The existing warning tools—flood potential maps and two-dimensional numerical models—are disadvantaged by time-consuming computation and complex model calibration. This study develops a data-driven, probabilistic rainfall-inundation model for flash-flood warnings. Applying a modified support vector machine (SVM) to limited flood information, the model provides probabilistic outputs, which are superior to the Boolean functions of the traditional rainfall-flood threshold method. The probabilistic SVM-based model is based on a data preprocessing framework that identifies the expected durations of hazardous rainfalls via rainfall pattern analysis, ensuring satisfactory training data, and optimal rainfall thresholds for validating the input/output data. The proposed model was implemented in 12 flash-flooded districts of the Xindian River. It was found that (1) hydrological rainfall pattern analysis improves the hazardous event identification (used for configuring the input layer of the SVM); (2) brief hazardous events are more critical than longer-lasting events; and (3) the SVM model exports the probability of flash flooding 1 to 3 h in advance.

scholarly journals An evaluation of the state of spatial point pattern analysis in ecology

Ecography ◽  
2016 ◽  
Vol 39 (11) ◽  
pp. 1042-1055 ◽  
Author(s):  
Eduardo Velázquez ◽  
Isabel Martínez ◽  
Stephan Getzin ◽  
Kirk A. Moloney ◽  
Thorsten Wiegand
Keyword(s):  
Pattern Analysis ◽  
The State ◽  
Point Pattern Analysis ◽  
Point Pattern ◽  
Spatial Point Pattern ◽  
Spatial Point ◽  
Spatial Point Pattern Analysis

scholarly journals Influences of hydrological and hydrogeological conditions on debris flows in peri-vesuvian hillslopes

2002 ◽  
Vol 2 (1/2) ◽  
pp. 27-35 ◽  
Author(s):  
P. De Vita ◽  
V. Piscopo
Keyword(s):  
Hydraulic Conductivity ◽  
Debris Flows ◽  
Pattern Analysis ◽  
Rainfall Pattern ◽  
Soil Stability ◽  
Strong Variation ◽  
Hydraulic Flow ◽  
Water Tables ◽  
The Stability ◽  
Pyroclastic Soil

Abstract. The paper illustrates some results of research carried out to assess factors triggering debris flows which involve the pyroclastic overburdens covering carbonate mountains around Vesuvius. The aims of the research were to reconstruct a relationship between rainfall and debris flow occurrence and to highlight empirical hydrological thresholds through rainfall pattern analysis. The research was also aimed at investigating hydrogeological features of a pyroclastic cover-carbonate bedrock system to analyse factors inducing temporary hydraulic flow, critical for pyroclastic soil stability. The results of research are the following: i) rainfall pattern highlights empirical hydrological thresholds that differentiate the Lattari and Salerno Mountains from the Sarno Mountains; ii) in some sample areas of the Sarno Mountains close to the trigger zones of the landslides of May 1998 strong variation in hydraulic conductivity has been found in the first few meters below the surface; iii) these permeability variations would seem to justify temporary perched water tables that might affect the stability of the pyroclastic mantle.

scholarly journals Rainfall Pattern Analysis in the Three Major Valley Systems of Bengaluru

2021 ◽  
Vol 9 (7) ◽  
pp. 687-694
Author(s):  
Pavithra C J ◽  
Balakrishna H B ◽  
Shivakumar Naiklal H S
Keyword(s):  
Pattern Analysis ◽  
Rainfall Pattern

Pattern analysis of genetics and genomics: a survey of the state-of-art

2019 ◽  
Vol 79 (15-16) ◽  
pp. 11163-11194 ◽  
Author(s):  
Jyotismita Chaki ◽  
Nilanjan Dey
Keyword(s):  
Pattern Analysis ◽  
The State ◽  
Genetics And Genomics ◽  
State Of Art

scholarly journals Rainfall pattern and erosion potential in the physiographic regions of the state of Pernambuco, Brazil

2018 ◽  
Vol 22 (12) ◽  
pp. 849-853
Author(s):  
Antonio G. Pinheiro ◽  
Thais E. M. dos S. Souza ◽  
Suzana M. G. L. Montenegro ◽  
Abelardo A. de A. Montenegro ◽  
Sérgio M. S. Guerra
Keyword(s):  
The State ◽  
Rainfall Data ◽  
Rainfall Pattern ◽  
Annual Rainfall ◽  
Data Series ◽  
Rainfall Erosivity ◽  
Annual Average ◽  
Erosivity Index ◽  
Weather Stations ◽  
Physiographic Regions

ABSTRACT The objective of the present study was to characterize the spatial and temporal (2000-2015) rainfall pattern variability and erosive potential in the different physiographic regions of the state of Pernambuco, Brazil. Rainfall data series (3 to 12 years) from 25 weather stations of the state were analyzed. Erosive rainfall events (more than 10 mm depth) were considered to evaluate the annual erosivity index, monthly erosivity index (EI30), rainfall erosivity factor (R), and rainfall pattern. The inverse distance weighting (IDW) - inverse of the square of the distance - was used to create spatial interpolation and develop maps. The rainfall data from the weather stations showed average annual rainfall of 827 mm and average erosivity of 4,784 MJ mm ha-1 h-1. The Metropolitan region of Pernambuco presented the highest rainfall erosivity index, with annual average of 9,704 MJ mm ha-1 h-1; and the Sertão do São Francisco region had the lowest, with annual average of 4,902 MJ mm ha-1 h-1. The state of Pernambuco presented advanced (42%), intermediate (38%), and delayed (20%) rainfall patterns.

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