EWR SUMMARY Presented by: Delana Louw Rivers for Africa 31 October 2013.

Slides:

Advertisements

Similar presentations

ECOLOGICAL CONSEQUENCES Presented by: Delana Louw (Rivers for Africa) 3 April 2014.

Advertisements

DWA CORPORATE IDENTITY Presented by: Johan Maree Deputy Director: Media Production 12 December 2012 RESOURCE QUALITY OBJECTIVES: USER WATER QUALITY TWG.

USING AGENT-BASED MODELLING TO DEPICT BASIN CLOSURE IN THE NAIVASHA BASIN, KENYA: A FRAMEWORK OF ANALYSIS P. R. VAN OEL, A. VAN DER VEEN, R. BECHT.

Implementation of the Water Resources Classification System and Determination of the Resource Quality Objectives for Significant Water Resources in the.

Defining the Status Quo. Definition of Status Quo The “Status Quo” describes existing or anticipated conditions of a water resources system if policies,

PRESENTATION TITLE Presented by: Name Surname Directorate Date Classification Of Water Resources and Determination of the Comprehensive Reserve and Resource.

Placer County Water Agency Middle Fork American River Project (FERC No. 2079) Recreation Technical Working Group Meeting July 21, 2008.

Add your Logo in the slide master menu Module IMPLICATIONS WP8- SERVICES WP9-SOCIOECON WP10-VALUATION.

Sub-Committee on Spatial Water Data 2005 Progress and 2006 Proposed Activities.

DWA CORPORATE IDENTITY Presented by: Johan Maree Deputy Director: Media Production 12 December 2012 MVOTI TO UMZIMKULU CLASSIFICATION STUDY PSC Overview.

Water Management System - WMS What is the Water Management System? The Water Management System is a computer system designed to support the water resource.

Water Requirements and Availability Reconciliation Strategy for Mbombela Municipal Area Study Steering Committee, 6 October 2012.

CLASSIFICATION OF WATER RESOURCES AND DETERMINATION OF THE RESOURCE QUALITY OBJECTIVES IN THE LETABA CATCHMENT PROJECT STEERING COMMITTEE MEETING NO 3.

Letaba Catchment: Macro Economic component of Socio-Economics – Scenario Evaluation Presented by: William Mullins Mosaka Economists 31 October 2013.

RUP Fundamentals - Instructor Notes

Shelter Training 08b – Belgium, 16 th –18 th November, 2008 based on content developed by p This session describes the benefits of developing a strategic.

Measuring Habitat and Biodiversity Outcomes Sara Vickerman and Frank Casey September 26, 2013 Defenders of Wildlife.

DETERMINATION OF WATER RESOURCE CLASSES AND ASSOCIATED RESOURCE QUALITY OBJECTIVES IN THE INKOMATI WMA PUBLIC MEETING Date: 12 JUNE 2013 Time: 09:00 Venue:

DICKINSON BAYOU WATERSHED GALVESTON COUNTY, TEXAS Jason Christian, P.E. National Flood Workshop October 24-26, 2010 – Houston, Texas PROBABILISTIC FLOODPLAIN.

Ecoregion typing Ecological classification or typing will allow the grouping of rivers according to similarities based on a top-down nested hierarchical.

NON-ECOLOGICAL WATER QUALITY: CONSEQUENCES TO SCENARIOS Presented by: Patsy Scherman Scherman Colloty & Associates 3 April 2014.

HYDROLOGY AND ECOLOGY. HYDROLOGY WATER QUALITY HYDRAULICS GEOMORPHOLOGY ECOLOGY SOCIO/ECONOMICS RESEARCHTEACHINGPOLICYCONSULTANCY VERTICAL INTEGRATION.

Daniel Baláž, Ján Černecký State Nature Conservancy of the Slovak Republic Nature Conservation and River Monitoring in Slovakia.

Characterization Report Module 2: Water Budget, Pressures and Impacts, Significant Water Management Issues, Monitoring, Characterization Report Characterization.

Water Management System – WMS (2007) What is the Water Management System? The Water Management System is a computer system designed to support the water.

Classification of water resources and and Resource Quality Objectives in the Inkomati Catchment Methodology to way up the level of protection against water.

LETABA ECOSYSTEM SERVICES CONSEQUENCES OF SCENARIOS Presented by: Greg Huggins Nomad 03 April 2014.

PRESENTATION TITLE Presented by: Name Surname Directorate Date Classification, Reserve & RQO determination of water resources in the Mvoti to Umzimkulu.

Implementation of the Water Resources Classification System and Determination of the Resource Quality Objectives for Significant Water Resources in the.

PRESENTATION TITLE Presented by: Name Surname Directorate Date CLASSIFICATION OF SIGNIFICANT WATER RESOURCES IN THE MVOTI TO UMZIMKULU WATER MANAGEMENT.

DWA CORPORATE IDENTITY Presented by: Johan Maree Deputy Director: Media Production 12 December 2012 MVOTI TO UMZIMKULU NWRCS WATER QUALITY: CONSEQUENCES.

PRESENTATION TITLE Presented by: Name Surname Directorate Date Classification, Reserve & RQO determination of water resources in the Mvoti to Umzimkulu.

1. THE IMPLEMENTATION OF THE WATER RESOURCES CLASSIFICATION SYSTEM AND DETERMINATION OF THE RESOURCE QUALITY OBJECTIVES FOR THE SIGNIFICANT WATER RESOURCES.

Integrated Catchment Assessment and Management Centre.

PP 4.1: IWRM Planning Framework. 2 Module Objective and Scope Participants acquire knowledge of the Principles of Good Basin Planning and can apply the.

Implementation of the Water Resources Classification System and Determination of the Resource Quality Objectives for Significant Water Resources in the.

Integrating tools to scope coordinated reservoir-floodplain management for climate resilience Jeff Opperman and Andy Warner, The Nature Conservancy.

TECHNICAL MEETING ON RESERVE DETERMINATION TOTAL OUTFLOW STRATEGY:WWT Venue: NATIONAL TREASURY Date: 24 JUNE 2014 Time: 10:00 – 16:30.

PRESENTATION TITLE Presented by: Name Surname Directorate Date Classification, Reserve & RQO determination of water resources in the Mvoti to Umzimkulu.

DWA CORPORATE IDENTITY Presented by: Johan Maree Deputy Director: Media Production 12 December 2012 MVOTI TO UMZIMKULU CLASSIFICATION STUDY Technical Working.

Economic Application for Scenarios in the Inkomati Catchment 26 February2014.

WISE User Workshops Three user workshops held in 2012 Introduction and context Hands on exploring the tool Quantifying scenarios and exploring results.

MODULE 1 Water Framework Directive, Relation of WFD with Daughter Directives, River Basin Management Planning, Water Bodies, Typology, Classification River.

Middle Fork Project Existing Resource Information Reports July 18, 2006.

DWA CORPORATE IDENTITY Presented by: Johan Maree Deputy Director: Media Production 12 December 2012 MVOTI TO UMZIMKULU NWRCS MVOTI & MKOMAZI RIVER ECOLOGICAL.

PRESENTATION TITLE Presented by: Name Surname Directorate Date Classification, Reserve & RQO determination of water resources in the Mvoti to Umzimkulu.

DWA CORPORATE IDENTITY Presented by: Johan Maree Deputy Director: Media Production 12 December 2012 ECOSYSTEM SERVICES Greg Huggins.

Classification of water resources and determination of the comprehensive reserve and Resource Quality Objectives in the Mvoti to Umzimkulu Water Management.

Kettle River Watershed Management Plan Stakeholder Advisory Group Meeting #3 – July 19, 2012.

Add your Logo in the slide master menu GLOBAQUA Meeting, January 13th-14th, Freising IMPLICATIONS Module Reporting back Implications Module: WP8, WP9,

BASIN SCALE WATER INFRASTRUCTURE INVESTMENT EVALUATION CONSIDERING CLIMATE RISK Yasir Kaheil Upmanu Lall C OLUMBIA W ATER C ENTER : Global Water Sustainability.

Iowa Rivers Information System Inventory, Modeling, and Evaluation of Basin, In-Stream Habitat, and Fishery Resource Relationships Kevin Kane, Iowa State.

LETABA RIVER CLASSIFICATION- GROUNDWATER RQOs Presented by: K. Sami WSM Leshika Consulting Engineers April 2014.

Implementation of the Water Resources Classification System and Determination of the Resource Quality Objectives for Significant Water Resources in the.

RESERVE DETERMINATION STUDIES FOR SELECTED SURFACE WATER, GROUNDWATER, ESTUARIES AND WETLANDS IN THE GOURITZ WMA – PSC MEETING NO 1 OVERVIEW OF THE RESERVE.

Way forward with WSAM C Strydom IWRP Systems User Forum 1 July 2004, Pretoria National Botanical Gardens Sub-Directorate: Systems Analysis Directorate:

Middle Fork Project Relicensing Process Plan April 25, 2006.

SCENARIOS TO MANAGEMENT CLASSES ECOSYSTEM SERVICES DEMONSTRATION.

PRESENTATION TITLE Presented by: Name Surname Directorate Date Classification, Reserve & RQO determination of water resources in the Mvoti to Umzimkulu.

FROM SCENARIOS TO MANAGEMENT CLASSES: ECOLOGICAL COMPONENT DEMONSTRATION Presented by: Delana Louw (Rivers for Africa) 26 November 2013.

Santa Rosa Plain Groundwater Management Planning Update Fall 2013.

Report on Higher Education Strategic Plan Initiatives Maggie Dalrymple Purdue University.

Impact of Land use on water resources on Mt Elgon, Uganda Nakileza B.R., Bamutaze Y. Mukwaya Paul, Palesjo P.

The Association for Water and Rural Development Derick du Toit, Sharon Pollard & Ramin Pejan South Africa The language of sustainability: a missing piece.

1 Gouritz WMA Study: Wetlands Mark Rountree Fluvius Environmental Consulting

Integrating biodiversity issues into strategic environmental planning A Case Study of the uMhlathuze Municipality, Richards Bay, South Africa Presented.

5th Shire River Basin Conference 22 February 2017 Shire River Basin Management Project Shire Basin Planning Tool Sub-Component A1 Development of a.

Puget Sound Watershed Characterization Project

Economic Joint Venture model: summary of progress

專題討論 Debris Flow Run Off Simulation and Verification – Case Study of Chen-You-Lan Watershed, Taiwan 蔡怡臻 MAR

Presentation transcript:

EWR SUMMARY Presented by: Delana Louw Rivers for Africa 31 October 2013

2 Letaba NWRCS integrated steps 7: Gazette class configuration 6: Resource Quality Objectives (EcoSpecs & water quality (user)) 5: Stakeholder process 4: Identification and evaluation of scenarios within IWRM 3: Quantify EWRs and changes in EGSA 2: Initiation of stakeholder process and catchment visioning 1: Delineate units of analysis and describe the status quo EWR determination: Where does it fit in? EWR determination: Where does it fit in?

3  IUA: Homogenous area that can be managed as an entity.  RESOURCE UNITS: RUs require different EWRS (due to different flow patterns, reaction of habitat and biota to stress, management and operational structures).  BIOPHYSICAL NODES: A point in the river which can be a survey site or a hypothetical point (‘site’). Survey sites are EWR sites or KEY BIOPHYSICAL NODES. Hypothetical points are DESKTOP BIOPHYSICAL NODES. BACKGROUND AND CONTEXT

 Desktop RUs – Sub Quaternary reaches (SQ) based on hydrological inflows - act as surrogate RUs. Represented by DESKTOP BIOPHYSICAL NODES  Detailed MRUs – Assessed considering operation of the system, ecological state, geomorphic zones, land use etc. Represented by KEY BIOPHYSICAL NODES NODES, RUS, IUAS – REPRESENT A CATCHMENT CONFIGURATION WHICH WILL DEFINE OR UNPACK THE MANAGEMENT CLASS FOR A SPECIFIC IUA BACKGROUND AND CONTEXT

KEY BIOPHYSICAL NODES = EWR SITES  2004: Comprehensive EWR undertaken, but  hydrology that guides final outcome is out of date.  EcoClassification models etc did not exist or were in its infancy. Steps during this study:  Where possible, populate and run updated EcoClassification models (require that to evaluate scenarios)  Recreate EWRs using new hydrology.  Adjust EWRs considering new present day hydrology

PURPOSE OF THIS PRESENTATION  Provide results at EWR sites (key biophysical nodes).  Provide preliminary results at desktop biophysical nodes.

PESC EISModerate RECC %MAR (low) 11 %MAR (tot ) 20 EWR 1: APPLE

EWR 2: LETSITELE 8 PESD EISModerate RECD %MAR ( low) 14 %MAR (tot ) 21.2

9 EWR 3: PRIESKA PESC EISHigh RECB/C %MAR ( low) 7.3 (PES) %MAR (tot ) 13.8 (PES)

10 PESC EISHigh RECB/C %MAR ( low) 8.3 %MAR (tot ) 17.6 EWR 4: LETABA RANCH

11 EWR 7: LETABA BRIDGE PESC EISHigh RECB %MAR ( low) 7 %MAR (tot ) 15.8

12 EWR 5: KLEIN LETABA PESC EISModerate RECC %MAR ( low) 3.9 %MAR (tot ) 16

13 DESKTOP BIOPHYSICAL NODES  Consist of following nodes: - those that cannot be extrapolated through yield modelling from the EWR sites. - nodes that do not occur in its totality in the KNP Methods used at the these nodes: 1.Determine the PES and REC (using PESEIS study results as base) 2.Determine whether reasons for change from natural is flow- or non-flow-related. 3.Use the Revised Desktop Ecological Reserve Model to determine EWRs

IUA 1 & 3: Desktop node EWR NODEREC %nMAR (low) %nMAR (tot) B81A C1422 B81A D1522 B81A D1522 B81A C1927 B81B D1522 B81B C1927 NODEREC %nMAR (low) %nMAR (tot) B81B C2130 B81B C1119 B81B C1018 B81B D715 B81B B2435 NODEREC %nMAR (low) %nMAR (tot) B81E C28

IUA 2: Desktop node EWR NODE REC %nMAR (low) %nMAR (tot) B81D C1522 B81D D413 B81D B2029 B81D B2535

IUA 5 & 6: Desktop node EWR NODEREC%nMAR (low)%nMAR (tot) B81F C B81F C29 B81G D B81H C 10.4 B81H D16.5 B81J C NODEREC %nMAR (low) %nMAR (tot) B81F-00228B B81F-00232B 13.5

NODEREC %nMAR (low) %nMAR (tot) B82E B B82E C B82F C B82F D B82F C B82A C B82B D B82D D B82D C B82D D IUA 7&8: Desktop node EWR

18 IUA 10: Desktop node EWR NODE REC %nMAR (low) %nMAR (tot) B82H-00127C B82H-00139B B82H-00157B B82J-00197B 14.5

END