scholarly journals Spatiotemporal Error in Rainfall Data: Consequences for Epidemiologic Analysis of Waterborne Diseases

2019 ◽  
Vol 188 (5) ◽  
pp. 950-959 ◽  
Author(s):  
Morgan C Levy ◽  
Philip A Collender ◽  
Elizabeth J Carlton ◽  
Howard H Chang ◽  
Matthew J Strickland ◽  
...  
Keyword(s):  
Rainfall Data ◽  
Waterborne Diseases ◽  
Epidemiologic Analysis

Epidemiologic Analysis of Coronary Heart Disease and Exercise

1987 ◽  
Vol 5 (2) ◽  
pp. 271-283 ◽  
Author(s):  
Steven N. Blair ◽  
Albert Oberman
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Epidemiologic Analysis

Stormwater inflow prediction using radar rainfall data compressed by principal component analysis

2006 ◽  
Vol 1 (1) ◽  
Author(s):  
K. Katayama ◽  
K. Kimijima ◽  
O. Yamanaka ◽  
A. Nagaiwa ◽  
Y. Ono
Keyword(s):  
Principal Component Analysis ◽  
Prediction Model ◽  
Principal Components ◽  
Prediction Method ◽  
Principal Component ◽  
Component Analysis ◽  
Rainfall Data ◽  
Radar Rainfall ◽  
Input Variables ◽  
Inflow Prediction

This paper proposes a method of stormwater inflow prediction using radar rainfall data as the input of the prediction model constructed by system identification. The aim of the proposal is to construct a compact system by reducing the dimension of the input data. In this paper, Principal Component Analysis (PCA), which is widely used as a statistical method for data analysis and compression, is applied to pre-processing radar rainfall data. Then we evaluate the proposed method using the radar rainfall data and the inflow data acquired in a certain combined sewer system. This study reveals that a few principal components of radar rainfall data can be appropriate as the input variables to storm water inflow prediction model. Consequently, we have established a procedure for the stormwater prediction method using a few principal components of radar rainfall data.

Sustainability of Water Supplies in Provincial Egypt

1993 ◽  
Vol 27 (9) ◽  
pp. 47-53 ◽  
Author(s):  
N. F. Nicholson
Keyword(s):  
Water Supply ◽  
Central Government ◽  
Water Supply Systems ◽  
Waterborne Diseases ◽  
Safe Drinking Water ◽  
Rapid Population Growth ◽  
Water Shortages ◽  
Water Supplies ◽  
Piped Water ◽  
Supply Systems

Life, health and hygiene all depend on access to a plentiful supply of safe drinking water. Piped water supplies in rural Egypt are insufficient to meet the demands of the existing population. This situation is worsening due to the rapid population growth and failure of existing water supply systems. There are already areas of the country with severe piped water shortages. If corrective action is not taken soon densely populated villages will become vulnerable to outbreaks of waterborne diseases. Immediate action is needed to reverse the deterioration of water supply systems and to improve the benefits gained from capital works investments in the sector. This paper promotes the concept that sustainable water systems in rural Egypt depends on a central government and local unit partnership. Also needed are consumer bodies to determine user needs; local units to be given powers to manage the revenue and expenditure accounts; and the central government to concentrate on setting policies and guidelines, and assisting with the implementation of major capital works.

CORRELATION BETWEEN RAINFALL PATTERN AND OIL PALM PERFORMANCE IN SUMATRA AND BORNEO ISLAND DURING EL NIÑO 2015

2018 ◽  
Vol 24 (2) ◽  
pp. 87-96
Author(s):  
Iput Pradiko ◽  
Eko Novandy Ginting ◽  
Nuzul Hijri Darlan ◽  
Winarna Winarna ◽  
Hasril Hasan Siregar
Keyword(s):  
Oil Palm ◽  
El Niño ◽  
El Nino ◽  
Southern Oscillation ◽  
Pearson Correlation ◽  
Rainfall Data ◽  
Rainfall Pattern ◽  
Dry Spell ◽  
Male Flowers ◽  
Central South

El Niño 2015 is one of the strongest El Niño. Drought stress due to El Niño could affect oil palm performances. This study was conducted to determine rainfall pattern and oil palm performance in Sumatra and Borneo Island during El Niño 2015. Data employed in this study is monthly rainfall data, Southern Oscillation Index (SOI) January-December 2015, andoil palm performances. Pearson correlation between SOI and rainfall data was used to analyze rainfall pattern, while oil palm performances were observed based on morphological conditions. Result shows that southern part of Sumatra and mostly part of Borneo suffer from more dry spell, dry month, and water deficit such as 37-133 days, 3-5 months, and 349-524 mm respectively. Analysis of rainfall pattern shows that Jambi, South Sumatra, Lampung, Central, South, and East Borneo are significantly (r ≥ +0,60) affected by El Niño 2015. Oil palms in southern part of Sumatra and mostly part of Borneo are suffer from drought stressmarked by the emergence of more than two spear fronds, appearing of many male flowers, malformations on bunches, fronds tend to hanging down, and lower fronds tend to dry.

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