HYDROLOGICAL DESIGN AIDS

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Transcript HYDROLOGICAL DESIGN AIDS

Awareness Workshop

on

“Integrated Water Resources Management Applications developed under Hydrology Project II”

Hydrological Design Aids (Surface Water) January 29, 2014 By Central Water Commission

Objectives of HDA-SW

• • Main objective of development of HDA (SW) is to standardize Hydrological Design Practices

in the form of design aids

for uniform use, all over the country, using state of the Art technology to the extent possible.

Aims at consolidating various design practices/tools for different design parameters

Components of HDA

As required in hydrological study of any project, the HDA includes following three modules: 

HDA-Y: Assessment of Water Resource Potential Availability/Yield Assessment

HDA-F: Estimation of Design Flood

HDA- S: Sedimentation rate estimation Apart from various analytical tools, the project also includes preparation of reference manuals and design aids to produce the hydrology chapter of the DPR as per standard guidelines of MoWR

HDA Framework

database Models Design Aids/ Guidelines

Assess Hydrological Design parameters Chapter and produce DPR Hydrology

HDA Software–Architecture

Windows Forms (UI) Windows Forms (Code Behind)          Data Layer Manages the physical storage and retrieval of data Relational tables Stored Procedures Triggers Indexes for faster data access DB configuration for faster data processing Storage of spatial and textual data Data Export DB backup & restore      Data type in HDA Regular Series data Irregular series data Paired data Physical parameters Spatial data

HDA Software–Architecture

Windows Forms (UI) Windows Forms (Code Behind)       Business Layer Maintains business rules and logic Business process logic Contains Global functions Provides process and user input validations Maintains in-between processed data as temporary data file Error / Warning handling       Example Base flow separation - Constant Baseflow Method - Straight Line Method - Recession Baseflow Method Effective Rainfall Hyteograph (ERH) Watershed Delineation using MapWindow

HDA Software–Architecture

Windows Forms (UI) Windows Forms (Code Behind) • Lets proceed with the HDA software          Presentation Layer Houses the user interface and related presentation code Operation friendly user interfaces Validation of user inputs Ease of navigation Interactive graphs with data Standard buttons Standard messages Supporting operations help Standard icons for individual processes       Example User navigation buttons with icons Data in grid Interactive Unit Hydrograph Data modification facility Delineated Watershed in embedded MapWindow Reports

HDA Software

HDA Software – Project Details

All the key information of the project should be entered in the dialog.

Some of the key input fields are: • River/Tributary name • • State/District Type and purpose of the project • • Geographical information Catchment area (entered manually or by automatic delineation)

HDA – Watershed Delineation

HDA Software – Stations

All the key information of the station should be entered in the dialog.

Some of the key input fields are: • Station name • • • • • • Catchment area Geographical information Parameter type Units Time frequency Data type

HDA Software – Stations Data Entry

HDA Software – HDA-F( Design Flood)

All Commonly used functionalities have been provided: • Hydro meteorological Approach • Statistical Approach • Peak Flood Estimation

HDA Software – UH Gauged Catchment – ER Hyetograph

Effective Rainfall Hyetograph methods: • Constant loss method • W index/Phi index method

HDA Software – UH Gauged Catchment – Unit Hydrograph

Effective Unit Hydrograph methods: • Nash method • Collin’s method • Clark’s method • Calibration process • S-curve transformation • Averaging of unit hydrograph • Project site UH

HDA Software – UH Ungauged Catchment – FER Method

Flood Estimation Report (FER) method: • SUG parameters and UG Ordinates • Smoothening of UG ordinates and graph

HDA Software – UH Ungauged Catchment – GIUH Method

Geomorphological Instantaneous Unit Hydrograph (GIUH) method: • Click on menu item • • Select outlet point from dropdown and click “Calculate Morphological Parameters” Go to “GIUH” tab • • Define/calculate velocity Click “Generate GIUH”

HDA – Storm Analysis

Steps to perform: • Click on Storm Analysis from • • • • • • • • HDA menu.

Add relevant shape files to the opened ArcGIS environment.

Click on “Storm Analysis”.

Click on “Generate Isohyets” Click on “Clipped Isohyets” Click on “DAD Preparation” Go to “Envelope Curve” tab.

Go to “PMP” tab.

Click on “Apply Correction Factor”.

• • • Storm is not Transposed Storm is Transposed Go to “Rainfall Distribution Estimation” tab.

HDA Software – Peak Flood Estimation

Peak Flood Estimation methods: • Empirical formulae • Dickens • • • • Ryves Inglis Nawab Jung Bahadur W. P. Creagers • • • • • Jarvi’s Myer’s Dredge and Burge’s Pettis Etc.

• Rational method • Calculate Tc • • Rainfall Intensity – FER Rainfall Intensity – Rambabu and • • • • other Rainfall Intensity – Raudkivi equation Rainfall intensity – User-defined Rainfall intensity – Generate IDF Calculate Peak Discharge

 Data Correction  Data Validation  Zonal Map  Sedimentation Rate using Observed Data  Regional Model  SWAT  Trap Efficiency  Sediment Quantum Calculation  Empirical Area Reduction Method  HEC-RAS  HDA-S Design Aid  HDA-S User Manual

R E P O R T A T I O N G E N E R HDA-Y ( Water Availability ) HDA-1 FNM

Processed Data Flow Naturalization

WRAP-HYD MWSWAT

Rainfall – Runoff Simulation

Model E REGM PROM

Basin Simulation

WRAP-SIM

Q Time Series Simulation

TSM Interface With

Snowmelt Simulation

MWSWAT eSWIS ArcGIS HYMOS RIBASIM MIKE11 MIKEBASIN WINSRM

Primary validation Screening and Graphical inspection

Data Validation

Secondary validation Fill-in missing data and Data Correction Homogeneity Test Statistical Analysis Evapo transpiration Estimation Stage Discharge Relation Data Compilation and Report Generation

Regional study : HDA-Y

The Regional Models four river systems for water availability are also being developed as part of TOR North- Satluj River basin North East- Lohit and Barak basins South- Godavari River Basin West- West Coast ( Damanaganga and and Kannadipuzha) and Tapi River basin

Objective Develop relationships to enable computation of monthly yield series for Monsoon season for an ungauged sub-basin using data on climatic parameters, catchment Characteristic, Land use etc.

Status – Work of Tapi basin and Damanganga has been completed and work of Godavari basin is in progress

Empirical Relations

• Developed empirical equations for the formed clusters were both, month-wise and monsoon season relate the dependent variable discharge (Qsim) with the independent variables namely Precipitation (PCPM), Temperature(TEMPM), Relief (RL), “% Crop Area (%CA), “% Forest Area (%FA) and Unit Area of the sub basin (UA).

Qsim= 0.739×(PCPM) + 19.686×(TEMPM) + 0.041×(UA) 0.089×(RL) + 1.28×(%CA) -1085.98

Correlation coefficient (R) : 0.94

Concluding

This project will help in consolidating various design practices/tools for different design parameters

Will infuse standardization in the process of hydrological design parameters estimation and preparation of Hydrology chapter of DPR

Will help in reducing time period for assessment of parameters and their appraisal

Creating data bases

Training to State Engineers