• Keine Ergebnisse gefunden

Finding integrated SDG pathways for the Indus River Basin

N/A
N/A
Protected

Academic year: 2022

Aktie "Finding integrated SDG pathways for the Indus River Basin"

Copied!
20
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

Finding integrated SDG pathways for the Indus River Basin

Simon Parkinson

Research Scientist University of Victoria &

Energy Program, IIASA

Co-authors: A. Vinca, E. Byers, P. Burek, V. Krey, N. Djilali, Y. Wada, K. Riahi Scenarios Forum: Sub-national scenarios for integrated modeling and analyses March 12, 2019, University of Denver, United States

(2)

Context:

Integrated Solutions for the Water-Energy Land Nexus Project

• 3-year initiative funded by GEF and UNIDO (1-year remaining)

• Focus on model development, stakeholder engagement and capacity building

• Case studies in the Indus and Zambezi basins

Indus

Zambezi

(3)

Nexus challenges for the Indus basin

Water, land and ecosystems

• Transboundary disputes

• Complex canal and irrigation system

• Very little flow reaches the sea

• Groundwater depletion

• Lack of wastewater treatment and storage

Energy systems

• Electricity can be unreliable

• Planned expansion of coal

• Hydropower generation

Livelihoods

• Employment impacts of transformations

Laghari and others (2012)

3

(4)

Research Question

How to strike a balance between objectives?

… and at what cost?

India Afghanistan

Pakistan

SDGs Transboundary Agreements

(5)

NExus Solutions Tools (NEST)

Infrastructure Planning

MESSAGEix

(Huppmann et al., 2018)

• Resource consumption

• Infrastructure expansion

• Economic and policy impacts

Distributed Hydrology

Community Water Model (CWatM) (Burek et al., 2018)

• Surface and groundwater availability

• Irrigation water requirements

• Climate change impacts

CWaTM MESSAGE

Water Techs

Energy Techs Land

Techs

Within each spatial unit

Multi-criteria optimization:

Capacity and operation of technologies Downscaling

Water and land-use

Multi-scale modeling for transforming systems

Upscaling

Water constraints

Vinca et al., (forthcoming)

(6)

Constructing integrated SDG scenarios using the SSP-RCP framework

RCP narrativeLocks in

• climate impacts to demands and resources

• mitigation level

SSP narrative

Locks in

• demand drivers (pop, urbanization, GDP)

• Baseline infrastructure access levels

• Budgetary constraints

SDG narrative

Locks in: additional policies

(7)

Sustainability Low population Low demand High-tech

Regional Rivalry High population Medium demand Low-tech

Fossil fuel Low population High demand High-tech

SSP1SSP3SSP5

S Parkinson, et al. Environmental Modelling & Software (2016)

Spatially-explicit municipal water withdrawal modeling for different socioeconomic scenarios

Projecting infrastructure demand under clean water goals

(8)

`

Fraction of withdrawals from improved sources

Baseline SDG6 Pathway

Access to piped water infrastructure under different scenarios

South Asia

Sub-Saharan Africa Eastern Europe M. East & N. Africa Latin America

Former Soviet Pacific Oceanic Western Europe Pacific Asia North America

Central Asia (China)

Target 6.1

Universal access to safe drinking water by 2030

Increased investment into water distribution and wastewater collection

SSP2

S Parkinson, et al. Environmental Research Letters(2019)

(9)

`

Baseline SDG6 Pathway

Fraction of return-flow treated

Access to wastewater treatment under different scenarios

South Asia

Sub-Saharan Africa Eastern Europe M. East & N. Africa Latin America

Former Soviet Pacific Oceanic Western Europe Pacific Asia North America

Central Asia (China)

Target 6.3

Half of all wastewater treated by 2030

Increased investment into wastewater treatment

SSP2

S Parkinson, et al. Environmental Research Letters(2019)

(10)

Events in Delhi, Lahore and Vienna

Calibrating sub-national scenarios:

Stakeholder Engagement

(11)

Billion USD per year

Base SDG Base SDG

Base SDG Base SDG

Tracking basin-wide investments

Preliminary Results Do not cite or quote India

Pakistan

Indus

(12)

Tracking electricity flows - Baseline

Preliminary Results Do not cite or quote

(13)

Tracking electricity flows - SDG

Preliminary Results Do not cite or quote

(14)

Conclusions

Nexus approach key to quantifying

adaptation challenges associated w/ SSPs

Linking of earth system and economic models at high spatial resolution to quantify dynamic

constraints on water, energy and land resources

Joint optimization of synergies and tradeoffs across the nexus

Challenge: models projecting future hydro-climatic conditions are highly uncertain

Application to the Indus Basin

Investment costs to achieve multiple SDGs

New insights into adaptive measures across sectors

(15)

Collaborators from around the world

Thank you!

(16)

EXTRA

(17)

Input data

Mapping infrastructure, potentials and policies

✓ Power generation (existing and planned)

✓ Transmission and road networks

✓ Groundwater pumping capacity

✓ Wind, PV and hydropower potentials

✓ Urbanization pathways

Installed Hydropower Capacity

✓ Irrigation intensity

✓ Indus water treaty allocations

✓ Reservoirs (existing and planned)

✓ Urban water transfers (e.g., Karachi)

✓ Algorithms for model integration

Installed Transmission Capacity

Groundwater Pumping in 2010 [ billion cubic meters per year ]Wind and PV average capacity factor (based on hourly data) Urban and rural water withdrawal and electricity demand

17

Monthly irrigation withdrawals calibrated for 2015

Preliminary results: do not cite or quote

(18)

Water

Water demand Urban*(and industrial) Rural*

Energy sector

Land sector

wastewater treatment and recycle

Water return flows from energy sector Return flows*

Electricity Urban

Rural

Hydroelectric potential Water distribution

Electricity Pumping

Desalination

Water deviation

Water distribu- tion

18

node up node node down

Internal surface water+

Seawater Groundwater+

Storage

Surface water Environmental flows

* exogenous

+ limints are imposed based on information from hydrolocial model River network

recharge from rivers, canals and crop field

(19)

Energy

Water for cooling

Retun flows Bio-fuel^ (ethanol or solid biomass)

Hydroelectric potential

Power plants Fossil (natural gas, coal, oil, ccs)

Nuclear

Biomass &

co-firing

Solar & Wind

Hydroelectric

Electricity demand

Urban*(and industrial)

Rural*

Water sector

Land sector Power transmission

Transmission HV (to other nodes) Distribution (internal)

Rural generation Diesel generator Small PV

Ethanol generator

Bio-fuel^ (ethanol or solid biomass)

* exogenous

^ crop residues can be transported as solid biomass or converted in ethanol, technolgies not represented here

19

(20)

Land

* exogenous.

§total available area for agriculture based on historical data Crops

Irrigated

Rainfed only

Irrigation systems Flood

Srinkler Drip Water for

irrigation Electricity from grid or local generators

Crop products demand*

by country

Land availability§

Biomass

transportation/

conversion Energy sector

Water for bio-fuel production

Crop residues

Total land constraints Crop products

20

Referenzen

ÄHNLICHE DOKUMENTE

If start and end points or start and segments of a trajectory didn’t have any corresponding grid cells, the first intersecting cell for a point or a trajectory segment was selected

Groundwater Pumping in 2010 [ billion cubic meters per year ] Wind and PV average capacity factor (based on hourly data) Urban and rural water withdrawal and electricity demand.

Groundwater Pumping in 2010 [ billion cubic meters per year ] Wind and PV average capacity factor (based on hourly data) Urban and rural water withdrawal and electricity

Chapter 4 Scenario development: a typology of approaches, Published in Think Scenarios, Rethink Education, available at

• Water security depends on inter-relation of water resources availability (biophysical supply), societal and environmental water demand, and the potential to put dynamic

These RLDCs are derived using regional hourly time series data for VRE supply and load, assuming no constraints on electricity transmission (i.e., using a copper-plate

These RLDCs are derived using regional hourly time series data for VRE supply and load, assuming no constraints on electricity transmission (i.e., using a copper-plate

To estimate the scope for expanding agriculture in response to population growth in developing countries and to assess the possible impact on forest ecosystems of