CHAPTER TWO PRECIPITATION 1 Precipitation The term precipitation

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CHAPTER TWO PRECIPITATION 1

CHAPTER TWO PRECIPITATION 1

Precipitation The term precipitation denotes all forms of water that reach the earth from

Precipitation The term precipitation denotes all forms of water that reach the earth from the atmosphere. The usual forms are rainfall, snowfall, hail, frost and dew 2

For precipitation to form (i) the atmosphere must have moisture, (ii) there must be

For precipitation to form (i) the atmosphere must have moisture, (ii) there must be sufficient nucleii present to aid condensation, (iii) weather conditions must be good for condensation of water vapour to take place, and (iv) the products of condensation must reach the earth 3

FORMS OF PRECIPITATION Rain ﻣﻄﺮ The term rainfall is used to describe precipitations in

FORMS OF PRECIPITATION Rain ﻣﻄﺮ The term rainfall is used to describe precipitations in the form of water drops of sizes larger than 0. 5 mm. The maximum size of a raindrop is about 6 mm 4

FORMS OF PRECIPITATION Snow ﺛﻠﺞ Snow is another important form of precipitation. Snow consists

FORMS OF PRECIPITATION Snow ﺛﻠﺞ Snow is another important form of precipitation. Snow consists of ice crystals which usually combine to form flakes. When new, snow has an initial density varying from 0. 06 to 0. 15 g/cm 3 and it is usual to assume an average density of 0. 1 g/cm 3. 5

FORMS OF PRECIPITATION Drizzle ﺭﺫﺍﺫ A fine sprinkle of numerous water droplets of size

FORMS OF PRECIPITATION Drizzle ﺭﺫﺍﺫ A fine sprinkle of numerous water droplets of size less than 0. 5 mm and intensity less than 1 mm/h is known as drizzle. In this the drops are so small that they appear to float in the air. 6

FORMS OF PRECIPITATION Glaze ﺍﻟﺼﻘﻴﻞ When rain or drizzle comes in contact with cold

FORMS OF PRECIPITATION Glaze ﺍﻟﺼﻘﻴﻞ When rain or drizzle comes in contact with cold ground at around 00 C, the water drops freeze to form an ice coating called glaze or freezing rain. 7

FORMS OF PRECIPITATION Sleet ﻣﻄﺮ ﻣﺘﺠﻤﺪ It is frozen raindrops of transparent grains which

FORMS OF PRECIPITATION Sleet ﻣﻄﺮ ﻣﺘﺠﻤﺪ It is frozen raindrops of transparent grains which form when rain falls through air at subfreezing temperature. In Britain, sleet denotes precipitation of snow and rain simultaneously. 8

FORMS OF PRECIPITATION Hail ﺗﻤﻄﺮ ﺑﺮﺩﺍ It is a showery precipitation in the form

FORMS OF PRECIPITATION Hail ﺗﻤﻄﺮ ﺑﺮﺩﺍ It is a showery precipitation in the form of irregular pellets or lumps of ice of size more than 8 mm. Hails occur in violent thunderstorms in which vertical currents are very strong. 9

WEATHER SYSTEMS FOR PRECIPITATION Front A front is the interface between two distinct air

WEATHER SYSTEMS FOR PRECIPITATION Front A front is the interface between two distinct air masses. Under certain favorable conditions when a warm air mass and cold air mass meet, the warmer air mass is lifted over the colder one with the formation of a front. The ascending warmer air cools adiabatically with the consequent formation of clouds and precipitation. 10

WEATHER SYSTEMS FOR PRECIPITATION Cyclone A cyclone is a large low pressure region with

WEATHER SYSTEMS FOR PRECIPITATION Cyclone A cyclone is a large low pressure region with circular wind motion. Two types of cyclones are recognized: tropical cyclones and extratropical cyclones. 11

WEATHER SYSTEMS FOR PRECIPITATION Convective Precipitation In this type of precipitation a packet of

WEATHER SYSTEMS FOR PRECIPITATION Convective Precipitation In this type of precipitation a packet of air which is warmer than the surrounding air due to localized heating rises because of its lesser density. Air from cooler surroundings flows to take up its place thus setting up a convective cell. The warm air continues to rise, undergoes cooling and results in precipitation. 12

WEATHER SYSTEMS FOR PRECIPITATION Orographic Precipitation The moist air masses may get lifted-up to

WEATHER SYSTEMS FOR PRECIPITATION Orographic Precipitation The moist air masses may get lifted-up to higher altitudes due to the presence of mountain barriers and consequently undergo cooling, condensation and precipitation. Such a precipitation is known as Orographic precipitation 13

MEASUREMENT Precipitation is expressed in terms of the depth to which rainfall water would

MEASUREMENT Precipitation is expressed in terms of the depth to which rainfall water would stand on an area if all the rain were collected on it. Thus 1 cm of rainfall over a catchment area of 1 km represents a volume of water equal to 104 m 3 The precipitation is collected and measured in a raingauge 14

Rain gauge Setting For setting a rain gauge the following considerations are important: 1.

Rain gauge Setting For setting a rain gauge the following considerations are important: 1. The ground must be level and in the open and the instrument must present a horizontal catch surface. 2. The gauge must be set as near the ground as possible to reduce wind effects. 3. The instrument must be surrounded by an open fenced area of at least 5. 5 m x 5. 5 m. No object should be nearer to the instrument than 30 m or twice the height of the obstruction. 15

Non-recording Gauges 16

Non-recording Gauges 16

Recording Gauges • Tipping—Bucket Type • Weighing—Bucket Type • Natural—Syphon Type 17

Recording Gauges • Tipping—Bucket Type • Weighing—Bucket Type • Natural—Syphon Type 17

Recording Gauges • Telermetering Raingauges • Radar Measurement of Rainfall where Pr = average

Recording Gauges • Telermetering Raingauges • Radar Measurement of Rainfall where Pr = average echopower, Z = radar-echo factor, r = distance to target volume and C = a constant Generally the factor Z is related to the intensity of rainfall as Z=a. Ib 18

RAINGAUGE NETWORK 1. In flat regions of temperate, Mediterranean and tropical zones: ideal –

RAINGAUGE NETWORK 1. In flat regions of temperate, Mediterranean and tropical zones: ideal – 1 station for 600 – 900 km 2 acceptable – 1 station for 900 – 3000 km 2 2. in mountainous regions of temperate, Mediterranean and topical zones: ideal - 1 station for 100— 250 km 2 acceptable - 1 station for 250— 1000 km 2 3. in arid and polar zones: I station for 1500—l 0, 000 km 2 depending on the feasibility. 19

Adequacy of Rain gauge Stations where N = optimal number of stations, ε =

Adequacy of Rain gauge Stations where N = optimal number of stations, ε = allowable degree of error in the estimate of the mean rainfall and Cv = coefficient of variation of the rainfall values at the existing m stations (in per cent) 20

Adequacy of Rain gauge Stations Pi = precipitation magnitude in the i 4 th

Adequacy of Rain gauge Stations Pi = precipitation magnitude in the i 4 th station 21

EXAMPLE A catchment has six rain gauge stations. In a year, the annual rainfall

EXAMPLE A catchment has six rain gauge stations. In a year, the annual rainfall recorded by the gauges are as follows: Station A B C D E Rainfall (cm) 82. 6 102. 9 180. 3 98. 8 136. 7 For a 10% error in the estimation of the mean rainfall, calculate the optimum number of stations in the catchment Solution: - from first data 22

PREPARATION OF DATA Estimation of Missing Data Given the annual precipitation values, P 1,

PREPARATION OF DATA Estimation of Missing Data Given the annual precipitation values, P 1, P 2, P 3, . Pm at neighbouring M stations 1, 2, 3 M respectively, it is required to find the missing annual precipitation P. at a station X not included in the above M stations If the normal annual precipitations at various stations are within about 10% of the normal annual precipitation at station X: 23

PREPARATION OF DATA Estimation of Missing Data If the normal precipitations vary considerably 24

PREPARATION OF DATA Estimation of Missing Data If the normal precipitations vary considerably 24

PREPARATION OF DATA Test for Consistency of Record Some of the common causes for

PREPARATION OF DATA Test for Consistency of Record Some of the common causes for inconsistency of record are: (i) shifting of a rain gauge station to a new location, (ii) the neighborhoods of the station undergoing a marked change, (iii) change in the ecosystem due to calamities, such as forest fires, land slides, and (iv) occurrence of observational error from a certain date 25

PREPARATION OF DATA Accumulated Annual Rainfall at x ΣP in units of l 03

PREPARATION OF DATA Accumulated Annual Rainfall at x ΣP in units of l 03 cm Test for Consistency of Record Accumulated Annual Rainfall of 10 station Mean ΣP in units of l 03 cm 26

PRESENTATION OF RAINFALL DATA Accumulated precipitation (cm) Mass Curve of Rainfall Time (days) 27

PRESENTATION OF RAINFALL DATA Accumulated precipitation (cm) Mass Curve of Rainfall Time (days) 27

PRESENTATION OF RAINFALL DATA Hyetograph 28

PRESENTATION OF RAINFALL DATA Hyetograph 28

MEAN PRECIPITATION OVER AN AREA Arithmetical—Mean Method 29

MEAN PRECIPITATION OVER AN AREA Arithmetical—Mean Method 29

MEAN PRECIPITATION OVER AN AREA Thiessen-Mean Method 30

MEAN PRECIPITATION OVER AN AREA Thiessen-Mean Method 30

MEAN PRECIPITATION OVER AN AREA Isohyetal Method 31

MEAN PRECIPITATION OVER AN AREA Isohyetal Method 31

DEPTH-AREA—DURATION RELATIONSHIPS Depth-Area Relation where P = average depth in cms over an area

DEPTH-AREA—DURATION RELATIONSHIPS Depth-Area Relation where P = average depth in cms over an area A km 2, Po = highest amount of rainfall in cm at the storm centre and K and n are constants for a given region 32

DEPTH-AREA—DURATION RELATIONSHIPS Maximum Depth-Area-Duration Curves 33

DEPTH-AREA—DURATION RELATIONSHIPS Maximum Depth-Area-Duration Curves 33

FREQUENCY OF POINT RAINFALL If the probability of an event occurring is P, the

FREQUENCY OF POINT RAINFALL If the probability of an event occurring is P, the probability of the event not occurring in a given year is q= (1 -P) where Pr, n = probability of a random hydrologic event (rainfall) of given magnitude and exceedence probability P occurring r times in n successive years 34

FREQUENCY OF POINT RAINFALL example, (a) The probability of an event of exceedence probability

FREQUENCY OF POINT RAINFALL example, (a) The probability of an event of exceedence probability P occurring 2 times in n successive years is (b) The probability of the event not occurring at all in , successive years is (c) The probability of the event occurring at least once in n successive years 35

FREQUENCY OF POINT RAINFALL Plotting Position Method P California m/N Hazen (m-0. 5)/N Weibull

FREQUENCY OF POINT RAINFALL Plotting Position Method P California m/N Hazen (m-0. 5)/N Weibull m/(N+1) Chegodayev (m-0. 3)/(N+0. 4) Blom (m-0. 44)/(N+0. 12) Gringorten (m-3/8)/(N+1/4) 36

FREQUENCY OF POINT RAINFALL 37

FREQUENCY OF POINT RAINFALL 37

For a station A, the recorded annual 24 h maximum rain fall are given

For a station A, the recorded annual 24 h maximum rain fall are given below. (a) Estimate the 24 h maximum rainfall with return period of 13 and 50 year. (b) What would be the probability of a ran fall of magnitude equal to or exceeding 10 cm occurring in 24 h at station A. 38

TABLE 2. 3 ANNUAL MAXIMUM 24 h RAINFALL AT STATION A Year 1950 1951

TABLE 2. 3 ANNUAL MAXIMUM 24 h RAINFALL AT STATION A Year 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 13. 0 12. 0 7. 6 14. 3 16. 0 9. 6 8. 0 12. 5 11. 2 8. 9 7. 8 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 9. 0 10. 2 8. 5 7. 5 6. 0 8. 4 10. 8 10. 6 8. 3 9. 5 Rain. Fall cm Year Rain. Fall cm 39

m Rainfall (cm) 1 16. 0 0. 043 23. 00 12 9. 0 0.

m Rainfall (cm) 1 16. 0 0. 043 23. 00 12 9. 0 0. 522 2 14. 3 0. 087 11. 50 13 8. 9 - 3 13. 0 0. 013 7. 67 14 8. 9 0. 609 1. 64 4 12. 5 0. 174 5. 75 15 8. 5 0. 652 1. 53 5 12. 0 0. 217 4. 60 16 8. 4 0. 696 1. 44 6 11. 2 0. 261 3. 83 17 8. 3 0. 739 1. 35 7 10. 8 0. 304 3. 29 18 8. 0 0. 783 1. 28 8 10. 6 0. 348 2. 88 19 7. 8 0. 826 1. 21 9 10. 2 0. 391 2. 56 20 7. 6 0. 870 1. 15 10 9. 6 0. 435 2. 30 21 7. 5 0. 913 1. 10 11 9. 5 0. 478 2. 09 22 6. 0 0. 957 1. 05 Probability Return period T=1/P Years m Rainfall (cm) Probability Return period T=1/P Years 1. 92 - 40

INTENSITY-DURATION-FREQUENCY RELATIONSHIP where K, x, a and n are constants for a given catchment

INTENSITY-DURATION-FREQUENCY RELATIONSHIP where K, x, a and n are constants for a given catchment 41

INTENSITY-DURATION-FREQUENCY RELATIONSHIP 42

INTENSITY-DURATION-FREQUENCY RELATIONSHIP 42

INTENSITY-DURATION-FREQUENCY RELATIONSHIP 43

INTENSITY-DURATION-FREQUENCY RELATIONSHIP 43

PROBABLE MAXIMUM PRECIPITATION (PMP) where = mean of annual maximum rainfall series, σ =

PROBABLE MAXIMUM PRECIPITATION (PMP) where = mean of annual maximum rainfall series, σ = standard deviation it the series and K = a frequency factor 44

Assignments for Chapter 2 Solve the following problems: - 2. 1 2. 3 2.

Assignments for Chapter 2 Solve the following problems: - 2. 1 2. 3 2. 7 2. 10 2. 12 2. 15 45