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Maximum daily demand = 1.8 x average daily demand

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Presentation on theme: "Maximum daily demand = 1.8 x average daily demand"— Presentation transcript:

1 Maximum daily demand = 1.8 x average daily demand
Maximum hourly demand of maximum day i.e. Peak demand                = 1.5 x average hourly demand                = 1.5 x Maximum daily demand/24                = 1.5 x (1.8 x average daily demand)/24                = 2.7 x average daily demand/24                = 2.7 x annual average hourly demand

2 Fire demand of water is often the determining factor in the design of mains. Distribution is a short term, small quantity but with a large flow rate. According to uniform fire code, the minimum free flow requirment for a one and two family dwelling shall be 1000 gal per min. for the water demand for fire fighting based on downtown business districts and high value area for communities of 200,000 people or less, recommended the following fire flow rate and population relationship: Q: discharge M3/min P: population in thousands

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6 b. Presence of industries. c. Climatic conditions.
Factors affecting per capita demand: Size of the city: Per capita demand for big cities is generally large as compared to that for smaller towns as big cities have sewered houses. b. Presence of industries. c. Climatic conditions. d. Habits of people and their economic status. e. Quality of water: If water is aesthetically $ medically safe, the consumption will increase as people will not resort to private wells, etc..

7 Factors affecting per capita demand:
. f. Pressure in the distribution system. g. Efficiency of water works administration: Leaks in water mains and services; and unauthorised use of water can be kept to a minimum by surveys. h. Cost of water. i. Policy of metering and charging method: Water tax is charged in two different ways: on the basis of meter reading and on the basis of certain fixed monthly rate.

8 Sizing of Gravity Settling Tank:

9 Sizing of Gravity Settling Tank:

10 Find the area of the gravity settling required the optimal condition


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