dsd-int 2015 - operational system for the ethekwini municipality - angus gowar

eThekwini Municipality- Early Warning System

Randeer Kasserchun, Godfrey Vella, Geoff Tooley, Gerrard Smith, Clinton Chrystal, Kordian Ignatiuk, Angus Gowar.

eThekwini Municipal Area = 2297 km2

By 2030, eThekwini will be Africa’s most caring and livable city


Population : 3.7 million



Population : 3.7 million

1 million live in City of Durban



Population : 3.7 million Length of Streams and Rivers : 4000 km and 3700 km of Stormwater pipes



Population : 3.7 million Length of Streams and Rivers : 4000 km and 3700 km of Stormwater pipes 18 River Catchments and 17 Estuaries


Population : 3.7 million Length of Streams and Rivers : 4000 km and 3700 km of Stormwater pipes 18 River Catchments and 17 Estuaries 200 km of culverts and 50 km of canals



Population : 3.7 million Length of Streams and Rivers : 4000 km 18 River Catchments and 17 Estuaries 200 km of culverts and 50 km of canals 98 km of Coastline.


Introduction to FEWS

Flood Early Warning System - FEWS

Generic information platform for data processing for flood and environmental forecasting systems

. Links to all kinds of meteorological and observed data sources, such as

. ground station monitoring devices, . weather radar, . numerical weather models and . satellite images . Facilities to process such data in required formats

. Links to a wide range of hydrological and hydraulic modelling systems

. Easy to connect models and data sources, irrespective of their producers in order to avoid capital destruction of earlier investments by clients

. Resilient system

Typical Raingauge Station Installations • Currently running 42 Stations.

Typical Raingauge Station Installations

• Currently running 42 Stations.

Typical Weather Stations. • Currently running 4 stations with a further 2

stations planned within next few months.

Typical Stream / River gauge Stations • Existing 3 sites with a

• further 7 planned.

Typical Stormwater Level / Flow gauge Station – Stormwater Culverts and Pipes.

Understanding Coastal Dynamics

1.) Water samples collected for analysis as well as portable RBR 2.) Deploy (5) Acoustic Current Doppler Profilers (ACDP’s)


Water samples collected for analysis as well as portable RBR


Tidal Gauge


Tidal Gauge

RBR

Wave Ryder Buoy

Portable RBR & TCM’s


Tidal Gauge

RBR

Wave Ryder Buoy

Portable RBR & TCM’s

Radar

Understanding Coastal

Dynamics

Delft-FEWS (concept)

24

Delft-FEWS • import • validation • transformation / interpolation • data hierarchy • general adapter • export / report • administration (data, forecasts) • viewing (data, forecasts) • archiving • …

data (feeds)

models

export & dessimination

imp

ort


Process for eThekwini


Phase 1: Collation of Current Data & Pilot Study • Rainfall data, GIS, field instrumentation • Palmiet River hydraulic model

Phase 2: Real Time Running

• Merging of hydraulic models • Running real time will field data inputs • Calibration and Validation of models

Phase 3: Real Time Testing of FEWS

• Identify hot spots • Identify warning mechanism • Run scenario testing (hind cast events)

Phase 4: Forecast Testing - ProFEWS • Run FEWS system with forecast data • Radar rainfall, Global Forecasting System

Process for eThekwini


Phase 1: Collation of Current Data & Pilot Study • Rainfall data, GIS, field instrumentation • Palmiet River hydraulic model

Phase 2: Real Time Running

• Merging of hydraulic models • Running real time with field data inputs • Calibration and Validation of models

Phase 3: Real Time Testing of FEWS

• Identify hot spots • Identify warning mechanism • Run scenario testing (hind cast events)

Phase 4: Forecast Testing - ProFEWS • Run FEWS system with forecast data • Radar rainfall, Global Forecasting System

FEWS (overview)


FEWS (data management)


FEWS


Import Global Forecast System

(GFS) Data

FEWS – GFS Data (Wind & Pressure)


FEWS - GFS Data (Surface Precipitation)


The Palmiet River Pilot Project

2011

2015

HYDRAULIC MODELS

DEVELOPMENT OF A FLOOD EARLY WARNING SYSTEM - GETTING AHEAD OF DISASTERS

HYDRAULIC MODELS

FEWS (development phase)


TYPICAL SCENARIO FOR MOST ENGINEERS

AND DECISION MAKERS




AND DECISION MAKERS

Informal settlements 100 Year floodline



AND DECISION MAKERS

Primary Objectives in FEWS development

41 DEVELOPMENT OF A FLOOD EARLY WARNING SYSTEM - GETTING AHEAD OF DISASTERS

HOW TO FORECAST WITH ANALYSIS


SOMEONE HAS TO BE ALERTED,

AND THEN DESCISIONS MADE

ANALYSIS OF FORECAST DATA


Existing Development in wrong places : e.g. Coastal below SBL

FEWS

Wave and Flow

models

Water Quality models

Real Time Data Feeds

Hydraulic models

Forecasting Evaluation Warning System - FEWS

Thank you, any questions?

http://www.durban.gov.za/city_services/development_planning_management/environmental_planning_climate_protection/Pages/default.aspx

dsd-int 2015 - operational system for the ethekwini municipality - angus gowar

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