Disaster Management & Flood Control – An Initiative by Pune Municipal Corporation

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Disaster Management & Flood Disaster Management & Flood Control – Control – An Initiative by Pune An Initiative by Pune Municipal Corporation Municipal Corporation A Presentation by A Presentation by Smt. Rajlakshmi Bhosale Smt. Rajlakshmi Bhosale Mayor, Pune Mayor, Pune

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Disaster Management & Flood Control – An Initiative by Pune Municipal Corporation. A Presentation by Smt. Rajlakshmi Bhosale Mayor, Pune. CONTENTS. Introduction. “Punyanagari The City of Virtuous Deeds”. River and the City. History. KHADAKWASLA DAM. LAKDI PUL. BUND GARDEN BRIDGE. - PowerPoint PPT Presentation

Transcript of Disaster Management & Flood Control – An Initiative by Pune Municipal Corporation

  • Disaster Management & Flood Control An Initiative by Pune Municipal CorporationA Presentation by Smt. Rajlakshmi BhosaleMayor, Pune

  • CONTENTS

    1INTRODUCTION2FLOOD SCENARIO IN PUNE3CAUSE AND EFFECT4CURRENT FLOOD PROTECTION MEASURES5FUTURE ACTION PLAN FOR FLOOD CONTROL & DISASTER MANAGEMENT

  • IntroductionPunyanagari The City of Virtuous Deeds

  • River and the City

  • Pune traces its origins to an agricultural settlement by the name of Punnaka in the 8th century AD; also called Punyapur or Punyanagari, The City of Virtuous Deeds

    The city is built on the confluence of the three rivers Mutha, Mula and Pavana. These Rivers were believed to have Mythic Cleansing Powers

    The Rivers formed the citys lifeline and no other city in the country can boast of having three Rivers running through it

  • Importance8th Largest Urban Agglomeration in IndiaPopulation 4.7 million growing @ 6%Cultural Capital of MaharashtraOxford of the EastDetroit of IndiaRapidly Growing Economy powered by IT, Manufacturing and ServicesTwenty bridges cross the river along 27 km of lenght

  • A Disaster Strikes Pune at 2:00pm on 12th July 1961 !!!Panshet and Khadakwasla Dam Failure results in a Major Flood in the city of Pune

  • FLOOD SCENARIO IN PUNE

  • History of Floods in PuneDischarge in CumecsYears

    Chart2 (2)

    3211

    3210.89

    2977.22

    2565.1767432868

    2449.11

    2287.04

    2125.76

    2050.15

    1954.21

    1779.72

    1762.62

    1738.55

    1728.5

    1603.7664661654

    1497.2

    1467.688453276

    1454.5

    1376.47

    1371.5417615467

    1351.37

    1328.1837099893

    1317.39

    1266.56

    1223.55

    1223.55

    1222.33

    1211.29

    1171.13

    1158.36

    1128.21

    1028.22

    1024.37

    1009.58

    1003.4089645542

    982.99

    970.84

    964.72

    955.76

    933.78

    871.8

    851.2

    841.86

    833.85

    790.98

    730.57

    730.4882964554

    717.13

    669.69

    658.357037594

    560.34

    539.8374779807

    500.19

    474.53

    442.9827841031

    437.64

    434.85

    329.3

    311.8

    196.5130762621

    79.2112803437

    36.16

    50.0

    Sheet1

    1cusecs0.0283168466cumecs

    1000002831.684661 cusecs0.0283168466 cumecs

    1680004757.23022881cumecs35.3146667 cusecs

    1 TMC (Thousand million cubic feet)28.317 MCM (Million Cubic Meter)

    1 inch0.0254 meters

    1 foot0.3048 meters

    1 meter3.2808399 feet

    1 MCM1000 ML

    1ML0.001 MCM

    Chart1

    1171.13

    1738.55

    1779.72

    2287.04

    1266.56

    1317.39

    1351.37

    1222.33

    1223.55

    1028.22

    1728.5

    933.78

    1762.62

    1158.36

    2977.22

    1497.2

    1954.21

    1454.5

    3210.89

    1211.29

    833.85

    0

    0

    0

    0

    0

    1024.37

    2125.76

    717.13

    1223.55

    500.19

    955.76

    871.8

    841.86

    560.34

    1128.21

    2050.15

    474.53

    437.64

    669.69

    1376.47

    851.2

    730.57

    2449.11

    1009.58

    434.85

    311.8

    36.16

    982.99

    964.72

    970.84

    329.3

    790.98

    442.9827841031

    1371.5417615467

    196.5130762621

    1328.1837099893

    2565.1767432868

    658.357037594

    539.8374779807

    79.2112803437

    0

    0

    0

    1003.4089645542

    1467.688453276

    1603.7664661654

    730.4882964554

    Highest flood record3211cumecs

    Panshet Dam Failure (1961)

    Sheet2

    DateYearDisharge in cumecsDischarge in cusecs

    21.08.194019401171.1335.314666741,358.07

    01.07.194119411738.5561,396.31

    05.07.194219421779.7262,850.22

    10.07.194319432287.0480,766.06

    12.07.194419441266.5644,728.14

    07.07.194519451317.3946,523.19

    28.07.194619461351.3747,723.18

    17.07.194719471222.3343,166.18

    14.08.194819481223.5543,209.26

    01.08.194919491028.2236,311.25

    20.07.195019501728.5061,041.40

    26.07.19511951933.7832,976.13

    24.07.195219521762.6262,246.34

    29.06.195319531158.3640,907.10

    15.07.195419542977.22105,139.53

    01.06.195519551497.2052,873.12

    02.08.195619561954.2169,012.27

    08.08.195719571454.5051,365.18

    19.07.195819583210.89113,391.51

    05.09.195919591211.2942,776.30

    07.07.19601960833.8529,447.13

    19611961NANANA

    19621962NANANA

    19631963NANANA

    19641964NANANA

    19651965NANANA

    27.09.196619661024.3736,175.29

    28.07.196719672125.7675,070.51

    07.08.19681968717.1325,325.21

    01.08.196919691223.5543,209.26

    21.08.19701970500.1917,664.04

    31.08.19711971955.7633,752.35

    12.09.19721972871.8030,787.33

    08.06.19731973841.8629,730.01

    07.08.19741974560.3419,788.22

    19.08.197519751128.2139,842.36

    01.08.197619762050.1572,400.36

    23.07.19771977474.5316,757.87

    29.08.19781978437.6415,455.11

    11.08.19791979669.6923,649.88

    03.08.198019801376.4748,609.58

    06.08.19811981851.2030,059.84

    22.06.19821982730.5725,799.84

    15.08.198319832449.1186,489.50

    12.09.198419841009.5835,652.98

    30.07.19851985434.8515,356.58

    13.08.19861986311.8011,011.11

    26.08.1987198736.161,276.98

    21.08.19881988982.9934,713.96

    24.07.19891989964.7234,068.77

    16.08.19901990970.8434,284.8935.3106588109

    26.08.19911991329.3011,629.12

    17.08.19921992790.9827,933.2035.3106273231

    19.06.19931993442.9815,643.7915642.00

    14.07.199419941371.5448,435.5448430

    22.07.19951995196.516,939.796939

    04.10.199619961328.1846,904.3746899

    23.08.199719972565.1890,588.3690578

    15.09.19981998658.3623,249.6623247

    21.07.19991999539.8419,064.1819062

    15.07.2000200079.212,797.322797

    20012001NANANA

    20022002NANANA

    20032003NANANA

    12.08.200420041003.4135,435.0535431

    02.08.200520051467.6951,830.9351825

    22.07.200620061603.7756,636.4856630

    08.08.20072007730.4925,796.9525794

    Chart2

    3211

    3210.89

    2977.22

    2565.1767432868

    2449.11

    2287.04

    2125.76

    2050.15

    1954.21

    1779.72

    1762.62

    1738.55

    1728.5

    1603.7664661654

    1497.2

    1467.688453276

    1454.5

    1376.47

    1371.5417615467

    1351.37

    1328.1837099893

    1317.39

    1266.56

    1223.55

    1223.55

    1222.33

    1211.29

    1171.13

    1158.36

    1128.21

    1028.22

    1024.37

    1009.58

    1003.4089645542

    982.99

    970.84

    964.72

    955.76

    933.78

    871.8

    851.2

    841.86

    833.85

    790.98

    730.57

    730.4882964554

    717.13

    669.69

    658.357037594

    560.34

    539.8374779807

    500.19

    474.53

    442.9827841031

    437.64

    434.85

    329.3

    311.8

    196.5130762621

    79.2112803437

    36.16

    50.0

    Sheet4

    YearDisharge in cumecsrank=mno. of years = nRecurrence Interval

    19583210.8912122.0

    19542977.22211.0

    19432287.0437.3

    19561954.2145.5

    19421779.7254.4

    19521762.6263.7

    19411738.5573.1

    19501728.5082.8

    19551497.2092.4

    19571454.50102.2

    19461351.37112.091988

    19451317.39121.8

    19441266.56131.7

    19481223.55141.6

    19471222.33151.5

    19591211.29161.4

    19401171.13171.3

    19531158.36181.2

    19491028.22191.2

    1951933.78201.1

    1960833.85211.0

    Sheet3

    YearDisharge in cumecsRank (m)NRecurrence IntervalAnnual exceedence probabilitypercentage annual exceedence probability

    19613211.0016162.00.021.61

    19583210.89231.00.033.23

    19542977.22320.70.054.84

    19972565.18415.50.066.45

    19832449.11512.40.088.06

    19432287.04610.30.109.68

    19672125.7678.90.1111.29

    19762050.1587.80.1312.90

    19561954.2196.90.1514.52

    19421779.72106.20.1616.13

    19521762.62115.60.1817.74

    19411738.55125.20.1919.35

    19501728.50134.80.2120.97

    20061603.77144.40.2322.58

    19551497.20154.10.2424.19

    20051467.69163.90.2625.81

    19571454.50173.60.2727.42

    19801376.47183.40.2929.03

    19941371.54193.30.3130.65

    19461351.37203.10.3232.26

    19961328.18213.00.3433.87

    19451317.39222.80.3535.48

    19441266.56232.70.3737.10

    19481223.55242.60.3938.71

    19691223.55252.50.4040.32

    19471222.33262.40.4241.94

    19591211.29272.30.4443.55

    19401171.13282.20.4545.16

    19531158.36292.10.4746.77

    19751128.21302.10.4848.39

    19491028.22312.00.5050.00

    19661024.37321.90.5251.61

    19841009.58331.90.5353.23

    20041003.41341.80.5554.84

    1988982.99351.80.5656.45

    1990970.84361.70.5858.06

    1989964.72371.70.6059.68

    1971955.76381.60.6161.29

    1951933.78391.60.6362.90

    1972871.80401.60.6564.52

    1981851.20411.50.6666.13

    1973841.86421.50.6867.74

    1960833.85431.40.6969.35

    1992790.98441.40.7170.97

    1982730.57451.40.7372.58

    2007730.49461.30.7474.19

    1968717.13471.30.7675.81

    1979669.69481.30.7777.42

    1998658.36491.30.7979.03

    1974560.34501.20.8180.65

    1999539.84511.20.8282.26

    1970500.19521.20.8483.87

    1977474.53531.20.8585.48

    1993442.98541.10.8787.10

    1978437.64551.10.8988.71

    1985434.85561.10.9090.32

    1991329.30571.10.9291.94

    1986311.80581.10.9493.55

    1995196.51591.10.9595.16

    200079.21601.00.9796.77

    198736.16611.00.9898.39

    node2:>3210.89

  • Flood Frequency Analysis was conducted for 1940 to 2007 of the maximum discharge data from KhadakwaslaThe 1958 flood with a magnitude of 3211 cumecs is the highest flood recorded.The mean annual peak flood is about 1165 cumecs.Every decade had recorded one severe flood during the last six decades (1944, 1958, 1961, 1976, 1976, 1983, 1997 and 2005).The post 1961 period shows a significant decline in the peak flood magnitudes and increase in the flood variability. This could be attributed to the increased control of dams located on the river, such as Temghar and Varasgaon that were constructed during the post-1961 period.

  • CAUSE AND EFFECT

  • CausesReduction in Carrying Capacity of the riverEncroachment in river and tributaries (nullahs) draining into the riversDisposal of Debris and solid wastes including plasticsLack of Remote Rain Gauging and Telemetric Early Warning System

  • EffectsDisplacement of Families in the river banksDestruction of private property on the river banksDestruction of Biodiversity on the river banksDisruption of Transport and communication systemsDestruction of drainage and sewage systemEroding of river banksAdverse effect on Public Health

  • Families Rehabilitated during FloodsSource : Slum Department, PMCImprovement in our Disaster Management Ability has resulted into a large reduction in the number of Flood Affected Families

  • CURRENT FLOOD PROTECTION MEASURES

  • Disaster Management Initiative byPune Municipal Corporation (PMC)

    2006 - 2007PMC embarked upon preparation of a a comprehensive Disaster Management Plan Involving all agencies of the local self government law enforcing agencies, state govt and education institutesMAY 2007 DMP WAS PROMULGATED

  • Engineering Measures for Disaster Management by Pune Municipal Corporation (PMC)Increase in River carrying capacity byDredging of 1.50 MCM of siltExcavated Debris is reused for construction of roads ProtectionConstruction of 1.50 km of protection wall to protect 10 major flood prone areasRiver flow (reduced afflux)Removal of an old Stone masonry bund Removal of central section (100m long and 5 m high) of Bundgarden bund

  • Each hourKhadakwasla Dam flows above 45000 cusecWater level of Mulshi dam start increasing above 1980 ftIrrigation DepartmentMulshi-Collector officePublic Relation officerFlood control DepartmentPune Municipal Corporation AuthorityNGO, Social services Organisation etcMedia (hourly updates)Municipal Commissioner and Police Commissioner work on next action plan

    Take ActionPMT, Road Traffic, health dept etc

    Municipal Regional OfficesOrganisational Structure for Disaster Management

  • Role Played by Regional OfficesAt present 39 Rehab Centres are availableOrganisational Structure ..contd

  • Benchmarks for Initiation of Disaster Management Plan

    Discharge from KhadakwaslaAction done1132.7 cumecs (40000 cusecs)DMP Flood Alert1415.9 cumecs (50000 cusecs) DMP operations initiated

  • PMC Departments working towards Flood ManagementFire Brigade AuthorityRiver Improvement and Garden Superintendent Department Pune Maha Nagarpalika Parivahan Mahamandal LtdHealth DepartmentVehicle Department Public Relation Department Education Department Electricity DepartmentIrrigation Department

  • Fire Brigade AuthorityTraining of experts from this department to other officer for planning & evacuation.Evacuation of people and property from siteSupply of various equipment like pumps, cranes, boats etc where ever requiredLifting of collapse articles like fallen trees etc during heavy rainsRiver Improvement and Garden Superintendent Department Desilting of almost 1.50 MCMDeposition of debris for construction of DP road Disposal of excess debris at relevant locationConstruction of 1.50 km of protection wall which covers almost 10 major flood prone areas

  • Pune Maha Nagarpalika Parivahan Mahamandal Ltd.Release of public transportMake vehicles available wherever requiredMake drivers available Get updates about traffic diversions and inform it to the drivers.Keep stock of fuel and other material required Health DepartmentMake Doctors, Pharmacist, auxiliary nurse etc available.Supply medicinesAmbulance

  • Vehicle Department Make wireless vehicles, truck and drivers available Coordination with fire brigade authorities through these wireless vehiclesPublic Relation DepartmentAt as a communication medium within the government and publicPublic awarenessInformation to media (press, channels etc)

    Education DepartmentMake school and college available during floodsMake infrastructure in school available Teachers and other staff also provide help in this respect

  • Electricity DepartmentAs the electric supply is completely damage during floods provide generators to evacuation teamsProvide temporary electric wiring at rehabilitation centersProvide emergency lamps Irrigation DepartmentControl discharge at each of the damsSupply flood update to Flood control department of PMC

  • FUTURE ACTION PLAN FOR FLOOD FORECASTING & DISASTER MANAGEMENT

  • Salient FeaturesInstallation of Remote Rain Gauging, level gauging and telemetry system for early warning to control peak discharge from Khadakwasla to within 50,000 Cusecs during the rainy seasonPrevent encroachment of the river and streams by declaration of Biodiversity Restoration Zones along the banksUse of Gabions/Reno Mattresses on river banks for stabilisation and allow percolation of water

  • Mapping and Delineation of the flood-prone area by use a probability-based analysis wherein systematic records and historical information on past flooding are used to develop a relation of probability of occurrence versus magnitude.Designation of Floodway (River Channel) and High Flood Level ComponentsHigh Flood LevelFloodwayDevelopment ZoneSubmersible ZoneDevelopment ZoneSubmersible Zone

  • Comprehensive Non Structural Flood Management System The proposed system can be divided into three important sub systems viz.Telemetry SystemManagement Information SystemDecision Support System

  • Telemetry System gathers hydrological and meteorological data such as Rain fall data from rain-gauge stations in the catchmentWater level data from river gauge stationsReservoir level data from level sensors installed at the reservoirsData is gathered without any human interventionCollected data is then presented to the Management Information System and the Decision Support SystemBased on the received data and the pre-fed conditions/parameters/rules the system computes information required for controlling discharge of water

  • ConclusionsOur experience of PMC has shown that initiative by the local self governing body can control & reduce the magnitude of disaster and effectively manage a disaster