Demand Rates and Metering Equipment at Milwaukee

1960 ◽  
Vol 52 (10) ◽  
pp. 1239-1243 ◽  
Author(s):  
Arthur Rynders
Keyword(s):  
2015 ◽  
Vol 40 (2) ◽  
pp. 390-402 ◽  
Author(s):  
Onno Boxma ◽  
David Perry ◽  
Shelley Zacks

1966 ◽  
Vol 46 (3) ◽  
pp. 299-315 ◽  
Author(s):  
W. Baier ◽  
Geo. W. Robertson

A new technique for the estimation of daily soil moisture on a zone-by-zone basis from standard meteorological data is herewith presented. The method, which is more versatile than existing meteorological budgets and therefore called "versatile budget" (VB), makes use of some basic concepts employed in the modulated budget, such as taking potential evapotranspiration (PE) as a possible maximum of actual evapotranspiration (AE) and subdividing the total available soil moisture into several zones of different capacities. The VB facilitates moisture withdrawal simultaneously from different depths of the soil profile permeated by roots in relation to the rate of PE and the available soil moisture in each zone. Adjustments for runoff, drainage, different types of soil-drying curves and the effect of different atmospheric demand rates on the AE/PE ratio are also incorporated.Comparisons between daily soil moisture readings from Colman blocks with estimates from the modulated budget and from the VB showed the feasibility of estimating daily soil moisture from standard meteorological data. The estimates of the VB were superior to those from the modulated budget on a zone-by-zone basis. The application of soil moisture statistics obtained from meteorological budgets is discussed.


2014 ◽  
Vol 52 (14) ◽  
pp. 4351-4363 ◽  
Author(s):  
Mohd Kamarul Irwan Abdul Rahim ◽  
Yiqing Zhong ◽  
El-Houssaine Aghezzaf ◽  
Tarik Aouam

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Madhu Jain ◽  
G. C. Sharma ◽  
Varsha Rani

The present study is concerned with the cost modeling of an inventory system with perishable multi-items having stock dependent demand rates under an inflationary environment of the market. The concept of permissible delay is taken into account. The study provides the cost analysis of inventory system under the decision criteria of time value of money, inflation, deterioration, and stock dependent demand. Numerical illustrations are derived from the quantitative model to validate the results. The cost of inventory and optimal time are also computed by varying different system parameters. The comparison of these results is facilitated by computing the results with neurofuzzy results.


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