SPATIO-TEMPORAL WATER RESOURCE RESPONSES TO LAND USE LAND COVER - - PowerPoint PPT Presentation

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SPATIO-TEMPORAL WATER RESOURCE RESPONSES TO LAND USE LAND COVER - - PowerPoint PPT Presentation

SPATIO-TEMPORAL WATER RESOURCE RESPONSES TO LAND USE LAND COVER CHANGE IN SEMI-ARID UPPER TEKEZE BASIN, NORTHERN ETHIOPIA MEWCHA AMHA GEBREMEDHIN COMMITTEE MEMBERS: DR. IR. M.W. LUBCZYNSKI (PROMOTER) UNIVERSITY OF TWENTE, ITC DR. B.H.P.


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SPATIO-TEMPORAL WATER RESOURCE RESPONSES TO LAND USE LAND COVER CHANGE IN SEMI-ARID UPPER TEKEZE BASIN, NORTHERN ETHIOPIA

MEWCHA AMHA GEBREMEDHIN

COMMITTEE MEMBERS:

  • DR. IR. M.W. LUBCZYNSKI

(PROMOTER) UNIVERSITY OF TWENTE, ITC

  • DR. B.H.P. MAATHUIS

(CO-PROMOTER) UNIVERSITY OF TWENTE, ITC

  • DR. DANIEL TEKA

(CO-PROMOTER) MEKELLE UNIVERSITY, I-GEOS

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  • Introduction
  • Motivation
  • Objectives
  • Methodology
  • Expected output
  • Workplan

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Presentation outlines

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Introduction

  • water availability is declining while population

growth is increasing

  • seriously affecting the economic growth
  • It is a critical problem in arid and semi-arid

areas

  • different factors
  • LULC change alter quantity and distribution

SW-GW resources

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Introduction

  • Investigating SW-GW interaction in

space and time is growing field of research

  • sustainable water resources

management

  • IHM are playing key role in this field

by integrating with geospatial data and geospatial technologies

  • simulate water flux and detail

water balances

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https://integratedhydrologicmodel.org/

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Motivation

Many wells are getting dry indicates that groundwater is declining GTP of Ethiopia envisages more intensive agricultural practices Water resource availability and distribution is not known

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UTB

Water shortage recurrent droughts Population growth

Geologically varied and topographically complex

WRS?

Requires in depth investigations of the spatio-temporal surface-groundwater interactions and groundwater resources changes

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Motivation

  • The poor coverage of ground-based hydro-meteorological gauging

stations is a challenge

  • RF and PET at reasonable resolution
  • state variable (groundwater level and stream flow) for validation
  • Therefore integrating satellite products in data scarce of UTB is

required

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Objectives

The aim of this study is to conceptualize and quantify spatio-temporal water resources and their response to LULC in the semi-arid UTB, Northern Ethiopia

  • Validate and merge daily satellite derived rainfall and potential

evapotranspiration estimations with in-situ observations

  • Setup and calibrate an integrated hydrologic model to quantify spatio-

temporal surface-groundwater interactions and groundwater resources

  • Predict future water resources changes in response to future LULC

change

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Study area

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13 0C to 28 0C

Figure 1: study area

~400 mm to 880 mm

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Validate and merge daily satellite derived rainfall and potential evapotranspiration estimations with in-situ observation– Objective-I

Research questions

  • What is the temporal and spatial performance of satellite rainfall and

potential evapotranspiration estimations in semi-arid area with complex topography?

  • How can the satellite rainfall and potential evapotranspiration be

integrated with in-situ observations for improved bias correction?

  • What is the spatio-temporal variability of potential evapotranspiration?

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Data acquisition – Objective-I

Satellite products

Daily

Ground based

  • Existing daily meteo ENMA
  • Additional weather station

installation

?

  • Relatively high spatio-

temporal resolution

  • Freely available
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Methodology- Rainfall

Preparation and analysis ILWIS R ArcGIS

Figure 3: Flow chart of satellite rainfall evaluation and merging

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Preliminary results- Rainfall

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Figure 4: GWR merged and uncorrected CHIRPS in 8 stations in August 26, 2015

R² = 0.7823

5 10 15 5 10 15

GWR merged In-situ observed

Aug 26, 2015 R² = 0.136

5 10 15 20 5 10 15

Uncorrected Chirps In-situ observations

August 26, 2015

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Methodology- DMETREF

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Figure 6: Flow chart of satellite reference evapotranspiration evaluation and conversion to potential evapotranspiration PET analysis ILWIS R ArcGIS

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Setup and calibrate an integrated hydrologic model to quantify spatio- temporal surface-groundwater interactions and groundwater resources

  • Objective-II

Research questions

  • What is the hydrogeological conceptual model to represent the

surface-groundwater interaction?

  • How surface-groundwater interactions and groundwater resources

are characterized spatially and temporally with the timeline of model simulation?

  • What is the spatio-temporal variability of net recharge and aquifer

storage in response to different LULC?

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Data acquisition – Objective-II

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All data will be checked and re- projected/georeferenced to consistence coordinate system

Ground based River discharge

  • MoWR
  • Additional automatic data loggers

Groundwater level

  • Monitoring

Soil data

  • EthioSIS

Geology and hydrogeology maps

  • EGS

Borehole log information

  • national and regional bureau of

water resources

Satellite product Improved RF and PET

  • Objective-I

Satellite images

  • http://earthexplorer.usgs.gov/

Vegetation density

  • NDVI of satellite image
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Proposed instrument installation

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Figure 7: proposed borehole monitoring, weather station and stream gauge locations

Logger programming

  • 10 minute for river
  • 1 hour for GWL
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Methodology

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Figure 8: Conceptual model

Conceptual model Surface

  • Watershed delineation

Sub-surface

  • Define hydrostratigraphic units
  • Determine boundary condition and

flow direction

  • Defining preliminary water balance
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Methodology

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Figure 9: GSFLOW setup (Hassan et al., 2014)

GSFLOW model will be use

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Methodology

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GSFLOW modeling ArcGIS ArcHydro Paramtool ModelMuse

Calibration Evaluation PRMS discretization Data Input and parameter preparation MODFLOW-NWT discretization (unstructured grid) GSFLOW Spatio-temporal water fluxes and water balance Sensitivity analysis

Figure 10: Methodology for GSFLOW modeling

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Predict future water resources changes in response to future LULC change- Objective-III

Research questions

  • What is the past trend in LULC change?
  • What are the main driving factors for LULC change and how could be prioritized

considering water impact?

  • What is the predicted LULC change?
  • How sensitive is the water resources change in response to future LULC change?

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Data acquisition – Objective-III

Ground based data/ancillary data

  • LULC factors
  • GCP from ground

Remote sensing data

  • Landsat images for 1990, 2000 and 2018
  • Sentinel-2 for 2018
  • DEM

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Methodology

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LULC analysis and prediction ArcGIS ERDAS TerrSet

Figure 11: Methodology for future water resources changes in response to future LULC change

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Expected outputs

  • Provide quantified water fluxes and detailed water balance of the study

area for effective water resource decision making

  • Integrated hydrological modeling that can be scaled to other basins
  • Four published papers in peer reviewed journals
  • Validating and improving satellite rainfall in UTB
  • Spatio-temporal variability of potential evapotranspiration in UTB
  • Assessment of surface-groundwater interaction in data scarce

UTB using integrated hydrological modelling approach in UTB

  • Water resources changes under future land use land cover

changes in UTB

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Work plan

J A S O N D J F M A M J J A S O N D J F M A M J J A S O N D J F M A M J J A S O N D J F M A M J J 1 Literature review 2 Proposal development 3 Progress report 4 Seminars and workshopes 5 Course work 6 Fieldwork and data collection 7 MSc students supervision 8 Satellite rainfall and potential evapotranspiration analysis 9 Hydro-geological conceptual model development 10 Integrated hydrological modeling developemnt 11 LULC change analysis and prediction 12

  • i. Validating and improving satellite rainfall and potential evapotranspiration
  • ii. Hydro-geological conceptual model
  • iii. Surface-groundwater interaction in data scarce environment using

integrated hydrological modelling

  • iv. Water resources changes under futre LULC changes

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  • i. Validating and improving satellite rainfall
  • ii. Spatio-temporal variability of potential evapotranspiration in UTB
  • iii. Assessment of surface-groundwater interaction in data scarce

environment using integrated hydrological modelling approach in UTB

  • iv. Water resources changes under future land use land cover changesLULC

changes 14 Thesis submission Key: ITC,UT MU, Ethiopia ITC and MU No 2018 2019 Result analysis and writeup Manuscript preparation and send to Journal publication 2020 2021 2022 Activities

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THANK YOU!

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