unit ii 2 environmental engineering i

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    Unit II-2

    Environmental Engineering-I

    Water Demand

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    Story so far

    Water Supply Sources

    Quality Criteria

    Water Demand

    Water Treatment

    Conveyance

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    Water Demand

    Demands

    Domestic

    Industrial (automobile, distillery, textiles, etc.)

    Institution & commercial (school, hospital, etc.) Public use (road cleaning, gardening, etc.)

    Fire Demand

    Loss & theft compensation

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    Domestic demandMinimum domestic water consumption-India (IS 1172)

    Use Consumption-Town & city

    In l/h/d (liter/head/day)

    Consumption-smalltown & city

    Drinking 5 5

    Cooking 5 5

    Bathing 75 55

    Cloth washing 25 20

    Utensil washing 15 10

    House cleaning 15 10

    Gardening/lawns 15 -

    WC flushing 45 30

    200 l/h/d 135 l/h/d

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    Domestic demand

    Average demand: 135-225 l/h/d.

    Demand varies with level of development &industrialization

    Demand higher in metropolitan cities.

    USA: ~340 l/h/d (& other developed &industrialized nations)

    Air-conditional, cooling, heating , carwashing,

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    Industrial demand

    For specific industries

    Automobiles: 40 klt./vehicle

    Distillery: 122-170 klt./klt.

    Fertilizer: 80-200 klt./tonne

    Paper: 200-400 klt./tonne

    Steel: 200-250 klt./tonne

    Textile: 80-140 klt./tonne

    ~50 l/p/d as average assumption (no provision for large

    industries)

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    Institution & commercial demand

    Office: 45-90 l/h/d

    Factories: 45-90 l/h/d

    School

    Day scholar: 45-90 l/h/d Residential: 135-225 l/h/d

    Hotels: 180/bed

    Hospitals

    < 100 bed: 340/bed > 100 bed: 450/bed

    Airport: 70 l/h/d

    ~20-50 l/p/d depending on level of commercialisation

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    Public Use

    Watering of public parks, gardening, washing& sprinkling on roads, public fountains, etc.

    Normally 10 l/h/d

    Not necessary for a developing country

    Gen.,

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    Fire demand

    Short duration, high discharge demand, lowper head demand.

    Fire hydrants: 100-150 m spacing, 10-15 m

    water head

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    Fire demand: example

    3 water streams of 1000 l/min for 6 fires/day,each of 3 hour duration in a town of 60 lakh.

    Total water required 6x3x3x1000x60 l/day= 32,40,000 l/day

    Per capita demand= 32,40,000/60,00,000 l/p/d

    ~

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    Fire demand calculations

    Kuichlings formula: Q=3182 P0.5

    Q: water (l/min), P: population in 1000s

    Freeman Formula: Q= 1136 (0.1P+10)

    Bustons Formula: Q= 5663 P0.5

    National Board of Fire Underwriters Formula

    Insurance Companies

    Q= 4637 P0.5(1-0.01 P0.5), Population< 2 lakh Q= 54,600 l/min, population > 2 lakh

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    Loss & Theft compensation

    Bad plumbing, damaged meters,unauthorized connections, wastes &leakages.

    Could be up to 15% of total consumption.

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    Factors affecting losses & thefts

    Water tight joints: better joints~ less loss

    Pressure in distribution network

    Higher pressure~ more loss

    System of supply

    Intermittent vs. continuous

    Metering

    Discourages losses Unauthorized connections

    Increases losses/theft.

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    Per capita total demand

    Includes all the possible uses: domestic,industrial,.

    India: Domestic (200) + Industrial (50) +

    commercial (20)+ Civil (10) + Losses (55) =335 l/h/d

    Annual average amount of daily waterrequired per person.

    Per capita demand (l/p/d) =

    = total yearly requirements of city (liters)/ (365 xpopulation)

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    Factors affecting per capita daily

    demand

    1. City size: more for larger cities2. Climatic conditions: more for hot climate3. Gentry type & peoples habits: rich-more, poor-less4. Industrial & commercial activities:

    5. Quality of supply: more for better quality.6. Pressure in distribution system: more for high

    pressure.7. Sewerage facility8. System of supply: intermittent vs. continuous9. Water cost: free vs. cheap vs. expensive10. Policy of metering & method of charging: reading vs

    fixed

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    Variations in demand

    Seasonal Diurnal hourly

    Max. daily consumption = 1.8 x avg. daily demand

    Max. hourly consumption = 1.5 x avg. hourly demand Max hr. consumption of max day= peak demand =

    1.8 x 1.5 x avg. demand = 2.7 x avg. demand

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    Design capacities of supply scheme

    Supply Source, Pipe Mains

    ~ Maximum daily consumption

    Filters, Pump

    ~Maximum daily consumption + additional capacity for

    break-down/repairs ~2x avg. demand (instead of 1.8x)

    Distribution system

    ~Max. hourly consumption for max. day

    Service reservoir ~for hourly fluctuations, fire demands, emergency

    reserve,..

    ~daily consumption. (unless pumping is done< 24 hrs)

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    Design supply or total city supply

    = per capita demand x (design) population

    Design population

    Projected population over design period.

    ~ Future population for project life.

    Population forecasting methods

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    Design Period

    Supply scheme: costly & complex to install, tough tomake changes in short term.

    Designed for a long life.

    Too short: not too useful for future needs.

    Too long: unnecessary financial burden.

    Factors:

    Ease of expansion/modification, useful life ofcomponents, economics (additional investment,loan/interest rates), population growth rate.

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    Design periods

    Dam storage: 50 yrs

    Pump House: 30 yrs

    Water treatment unit: 15 yrs

    Raw/clean water conveyance network: 30 yrs

    Clear water/storage reservoirs: 15 yrs

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    Population Forecasting

    Census (every 10 yrs for India)

    ~1.241 billion (2011 WB estimate)

    Variations in population

    Birth

    Death

    Migration (emigration & immigration) Diseases/natural hazards

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    Projection/Forecasting

    A statement of the most likely future.

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    Population growth curve

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    Population forecasting

    1. Arithmetic Increase

    2. Geometric Increase

    3. Incremental Increase

    4. Decreasing rate

    5. Simple graphical

    6. Graphical comparison

    7. Master Plan

    8. Logistic Curve

    NUMERICALS

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    1. Arithmetic Increase

    Assumption: Population increase is constant.

    Difference between successive terms issame.: Arithmetic mean (m)

    A1 = A0 + m A2 = A1 + m = A0 + 2m

    A3 = A2 + m = A1 + 2m = A0 + 3m ..

    An = A0+ n.m

    m: average increase (or decrease) per unit time(gen., decades)

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    1. Example

    Year Population

    1950 25000

    1960 30000

    1970 330001980 37000

    1990 40000

    Population of 2000, 2010, 2020 ????

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    1. How to solve?

    1. Find increase in population in each decade

    2. Find average increase (m)

    3. Use An = A0+ n.m

    where, n is the time duration (generally,number of decades)

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    1. Example

    Year Population

    1950 25000

    1960 30000

    1970 33000

    1980 37000

    1990 40000

    Population of 2000, 2010, 2020 ????

    m = 3,750/decade

    A2000= 43,750, A2010= 47,500, A2020= 51,125

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    2. Geometric Increase

    Rate of increase is constant.

    Ratio between successive terms is same: GeometricMean (r)

    A1 = A0 + A0 x r = A0 (1+r)

    A2 = A1 (1+r) = A0 (1+r)2

    A3 = A2 (1+r) = A0 (1+r)3 ..

    An = A0 x (1+r)n

    r is a fraction here. If r is given as percentage:

    An = A0 x (1+(r/100))n

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    2. Example

    Year Population

    1950 25000

    1960 30000

    1970 330001980 37000

    1990 40000

    Population of 2000, 2010, 2020 ????

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    2. How to solve?

    Find the rate of increase for each decade.

    Find average rate of increase (r)

    r = (r1 x r2 x rn)1/n

    Use:

    An = A0 x (1+r)n

    An = A0 x (1+(r/100))n

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    2. Example

    Year Population

    1950 25000

    1960 30000

    1970 33000

    1980 37000

    1990 40000

    Population of 2000, 2010, 2020 ????

    r = 11.83%/decade

    A2000 = 44,732; A2010= 50,024; A2020= 55942

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    3. Incremental Increase

    Growth rate is either increasingordecreasing.

    Uses m (arithmetic mean) and n(incremental increase).

    n: 1 for decade 1, 2 for 2nddecade,.

    A1 = A0 + m + n

    A2 = A1 + m + 2n = A0 + 2m + 3n = A0 + 2m+ 2.(2+1)n/2, .

    Ai = A0 + i.m + i.(i+1)n/2

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    4. Example

    Year Population

    1950 25000

    1960 30000

    1970 330001980 37000

    1990 40000

    Population of 2000, 2010, 2020 ????

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    3. How to solve Incremental increase

    1. Calculate the increase for each decade.

    2. Calculate the incremental increase for eachdecade (careful: it could be

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    3. Example

    Year Population

    1950 25000

    1960 30000

    1970 33000

    1980 37000

    1990 40000

    Population of 2000, 2010, 2020 ????

    m = 3,750/decade; n = -667/decade

    A2000 = 43,083; A2010= 45,499; A2020= 47,248

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    4. Decreasing rate

    Saturation kinetics: Growth rate decreaseswith time.

    Used for cases when growth rate is

    decreasing.

    Decrease in % increase is calculated.

    Subtracted from the latest % increase for eachdecade.

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    4. Example

    Year Population

    1950 25000

    1960 30000

    1970 330001980 37000

    1990 40000

    Population of 2000, 2010, 2020 ????

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    4. Example

    Year Population

    1950 25000

    1960 30000

    1970 33000

    1980 37000

    1990 40000

    Population of 2000, 2010, 2020 ????

    r = 11.83%/decade, (20, 10, 12.1, 8.1; 10, -2.1, 4),rate~3.97% (arithematic mean)

    A2000 = 41,652; A2010= 41,719; A2020= 40,130

    A2000 = A1990 + A1990 x (8.1-3.97)/100

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    5. Simple Graphical Method

    Plot a graph using givenpopulation data

    Extrapolate the graph.

    40000

    60000

    80000

    100000

    120000

    1940 1960 1980 2000 2020 2040 2060

    Year

    Population

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    Last 5 methods

    Simples and less time-intensive

    Assumes that past conditions will continue infuture as well.

    May not be most accurate

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    6. Graphical Comparison Method

    Comparison with similar cities, at similarpopulation level.

    Population data for other cities is given.

    Population curves of other cities is plotted &for subject city is extrapolated.

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    7. Master Plan Method

    Use of master plan for forecasting

    More precise: citys growth is restricted.

    An accurate forecast is already planned in the

    design.

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    8. Logistic Curve Method

    Using the equation ofPopulation growth

    curve.

    Saturation kinetics..

    Complex/messyequations

    s

    s

    e

    s

    PKn

    P

    PPm

    ntm

    PP

    .

    )(log1

    0

    0

    1

    Where,

    m, n and K are constants, P0 is population at start of curve, Ps issaturation population, P is population at any time t from start

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    Logistic Curve

    )(

    )(log

    1

    )(2

    01

    10

    1

    0

    0

    2

    120

    20

    2

    1210

    PPP

    PPP

    tn

    P

    PPm

    PPP

    PPPPPPP

    s

    s

    e

    s

    s

    Using only 3 population data fortime t0, t1 and t2 (=2t1),parameters are calculated for thelogistic equation.

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    Numerical: Logistic Curve

    Q: Assuming Delhis population grew from 80,00,000 in 1990 to

    98,00,000 in 2000 and further to 1,12,00,000 in 2010, determineits population in 2030 and 2050 using Logistic Curve method.Also determine the year when the Saturation population will bereached.

    Solution:

    Using the equations given previously, Ps= 1,36,34,783

    m = 0.704 and n = -0.0588

    P2030=1, 27,78,547 (t = 40 yrs) and P2050=1,33,58,634 (t = 60 yrs)

    For Saturation population time, use P = 1,36,34,783 (slightly less than Ps).

    Ts = 254.74 yrs, i.e. saturation population will be reached by about 2244.74 A.D.

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    Now to

    Water Treatment