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South Africa’s risk runs through its pipes and its grid

Part I describes systems and their couplings. It assesses no authority and ranks no province.

6 min read2 figures2 tables15 notesNR-COUNTRY-ZAF-2026-BASELINE

Contents
  1. ·Edition home
  2. ·Executive summary
  3. 1South Africa’s risk runs through its pipes and its grid
    1. 1.1 The questions this part answers
    2. 1.2 The argument
    3. 1.3 Twenty couplings between five systems
    4. 1.4 Reinforcing loops
  4. 2Key findings
  5. 3Systems and sectors at baseline
  6. 4Risks and capability
  7. 5Power shortfall and wastewater stress in a dense province
  8. 6Readings from the other desks
  9. 7The 2027 agenda
  10. 8Systems in depth
  11. AMethodology
  12. BData appendix
  13. CReferences and record
  14. ·Complete edition, for print

1.1The questions this part answers

Key questions

  • Where is South Africa’s risk concentrated, and in which systems?
  • Which couplings carry shocks from one system to the next?
  • Which capabilities hold under compound stress, and which are only documented?
  • What must the 2027 programme measure first?

In this part

  • Narrative
  • Headline finding
  • Lead figure
  • Five system chapters
  • Twelve-domain reading
  • Sector screens
  • Dependency matrix
  • Risk objects
  • Capability ladder
  • Scenario
  • Three lenses
  • Portfolio

1.2The argument

South Africa is an upper-middle-income economy of 63.5 million people, with a population that is concentrated in a few provinces: Gauteng alone holds 25.7%1. This baseline reads its exposure as three forces acting together: an electricity system that has only recently stopped shedding load at scale, water services in many places in poor condition, and extreme rainfall that now causes deaths at provincial scale.

The grid has improved in one respect. Energy shed by load-shedding fell by 82% between the first halves of 2024 and 2025, to 749 GWh5. The fleet energy availability factor stayed near 58%, tariffs have risen 190% since 2014, and fossil fuels still supplied 83% of electricity in 2025 on the Ember profile56. The second climate contribution sets a 2035 range of 320 to 380 Mt CO₂e including land use34.

Water services are the weaker link. In the 2025 Green Drop assessment 47% of 848 wastewater systems were in a critical state, up from 39%, and only 8% were rated excellent or good89. Non-revenue water was 47.3%, and Gauteng alone lost about 431 billion litres a year9. Drinking-water quality was reported as generally stable, with 8% of systems in critical risk9.

The climate layer adds loss of life. The April 2022 floods in KwaZulu-Natal killed 459 people, and the June 2025 floods in the Eastern Cape killed 102 by the provincial count1415. A rapid attribution study of the 2022 rainfall and a study of the 2015 to 2017 Western Cape drought show that both extremes are in the scientific record1617.

Food supply is the system in better shape today. The 2025 maize harvest was well above average, and the 2026 harvest is forecast at 17.1 million tonnes, which would be the third-largest on record7. Household food insecurity is not bound in this edition, because the household survey was not retrieved38.

This edition therefore reads South Africa’s risk as a property of the couplings between grid, water and weather. The matrix, risk objects, capability ladder and scenario that follow ask the same two questions: where does a shock travel next, and who holds the capability to stop it?

Figure 1.1Where do South Africa’s emissions come from? Emissions by sector, 2022 (Mt CO₂e)

Energy was 374.1 Mt of about 478 Mt excluding land use. Land use removed 43.2 Mt, which brings the total to about 435 Mt including land use2.

ItemBar, scaled to the largest valueValue
Energy374.1
Agriculture52.9
Industrial processes and product use30.6
Waste20.7

Source: as cited in the note to this figure. Year 2022.

Figure ID FIG-COUNTRY-ZAF-2026-BASELINE-01-003

374.1Mt CO₂e

energy sector, 20222

43.2Mt CO₂e

land-use sink, 20222

−2.2%

change in total excl. land use since 2000 (ESTIMATED)2

2050net zero

long-term goal named in the tracker analysis4

1.3Twenty couplings between five systems

The South Africa matrix types the twenty couplings between the five core systems. Strengths are Nexus estimates from the cited evidence and analogue events; they set the starting graph that the Q1 2027 Foundry cut will test.

Figure 1.2Couplings between the five systems

Each line is one coupling from one system to another, drawn by the strength the edition assigns. Strengths are Nexus estimates from the cited evidence and analogue events.

  • Strong
  • Moderate
  • Weak

Source: this edition’s coupling matrix (Table 1.1); status Estimated.

Table 1.1Coupling matrix: from the row system to the column system
From, toWATENEFOOHLTBIO
WAT Water·STRONG
nuclear cooling · hydro		STRONG
irrigation · rain-fed yield		MODERATE
drinking water		STRONG
flows · wetlands
ENE EnergyMODERATE
pumping · treatment		·STRONG
fuel · fertiliser · cold chain		STRONG
facility power · cooling		MODERATE
reservoirs · land use
FOO FoodMODERATE
withdrawals · nutrients		WEAK
biofuel feedstock		·STRONG
nutrition · food safety		STRONG
land conversion
HLT HealthWEAK
workforce		WEAK
workforce		MODERATE
labour · disease		·WEAK
residues
BIO BiodiversitySTRONG
regulation · filtration		MODERATE
fire on lines · biomass		STRONG
pollination · soils		MODERATE
zoonoses · smoke		·
Strength: strong, moderate or weak; a Nexus estimate (status Estimated) from cited evidence and analogue events. The scale is defined in Annex A.

Transmission paths

  1. 01

    ENE → WAT → HLT

    A supply shortfall interrupts pumping and treatment, and exposure to untreated water rises.

    Inferred grid and Green Drop evidence59

  2. 02

    CLI → WAT → INF

    Heavy rain damages treatment works and roads.

    Reported KwaZulu-Natal 202214

  3. 03

    CLI → INF → FOO

    Flooded roads delay distribution to affected districts.

    Inferred Eastern Cape 202515

  4. 04

    CLI → WAT → FOO

    Multi-year drought forces water restrictions on cities and farms.

    Reported Western Cape 2015–20171718

  5. 05

    ENE → FIN

    Tariff rises load household and municipal budgets.

    Reported tariffs up 190% since 20145

1.4Reinforcing loops

A shock entering either system of a loop can return amplified through the other.

Table 1.2Pairs of systems where both directions are rated strong
LoopFirst directionSecond direction
WAT and BIOWater to biodiversity: flows · wetlandsBiodiversity to water: regulation · filtration
FOO and BIOFood to biodiversity: land conversionBiodiversity to food: pollination · soils
A causal-loop reading of the matrix (Sterman, Business Dynamics, 2000): structural, from estimated strengths, not a measured feedback.

Notes

Numbers are the edition’s reference numbers, so a note reads the same in every chapter. The full list, with every source and its licence, is in Annex C. Annex C, references

  1. 1Statistics South Africa (ed.), Mid-year population estimates 2026, Statistical release P0302. Stats SA, Pretoria, July 2026.back
  2. 5Council for Scientific and Industrial Research (ed.), “Loadshedding down 82% in H1 2025 as demand eases and EAF edges up, but tariffs still exceed inflation.” CSIR, Pretoria, 2025.back
  3. 6Ember (ed.), “South Africa: electricity country profile, 2025.” Ember, London, retrieved 2026-11-03.back
  4. 3Government of South Africa (ed.), Second Nationally Determined Contribution. Submission to the UNFCCC, 24 October 2025.back
  5. 4Climate Action Tracker (ed.), “South Africa: 2035 NDC.” Climate Analytics and NewClimate Institute, December 2025.back
  6. 8Department of Water and Sanitation (ed.), Green Drop, Blue Drop and No Drop reports 2025, released 31 March 2026. DWS, Pretoria, 2026.back
  7. 9Parliamentary Monitoring Group (ed.), “Green, Blue and No Drop Reports 2025: Ministry briefing,” Portfolio Committee on Water and Sanitation, 9 June 2026. PMG, Cape Town, 2026.back
  8. 14Bloomberg (ed.), “Death toll from flooding in South Africa’s KZN rises to 459.” Bloomberg News, 29 May 2022.back
  9. 15Eastern Cape Provincial Government (ed.), flood recovery update reporting 102 flood-related deaths. Reported by Pondoland Times, Eastern Cape, 2025.back
  10. 16I. Pinto et al., Rapid attribution study of the April 2022 heavy rainfall in KwaZulu-Natal, South Africa. World Weather Attribution, 2022.back
  11. 17F. E. L. Otto, P. Wolski, F. Lehner et al., “Anthropogenic influence on the drivers of the Western Cape drought 2015–2017,” Environmental Research Letters, vol. 13, 2018.back
  12. 7Food and Agriculture Organization (ed.), GIEWS Country Brief: South Africa, reference date 22 April 2026. FAO, Rome, 2026.back
  13. 38Statistics South Africa (ed.), General Household Survey 2023, Statistical release P0318. Stats SA, Pretoria, 2024.back
  14. 2Department of Forestry, Fisheries and the Environment (ed.), GHG Inventory for South Africa: 2000–2022, 9th National Greenhouse Gas Inventory Report. DFFE, Pretoria, 2025.back
  15. 18H. Muller, “Cape Town’s drought: don’t blame climate change,” Nature, vol. 559, pp. 174–176, 2018.back

Cite this chapter

Valadbaygi, S. (Ed.). (2026). Chapter 1: South Africa’s risk runs through its pipes and its grid. In South Africa Systems Risk and Resilience Report 2026: The State of South Africa’s Interdependent Systems (Baseline Edition 2026, Report No. NR-COUNTRY-ZAF-2026-BASELINE) [Draft under review]. The Global Centre for Risk and Innovation (GCRI).

Every citation form of the whole report, BibTeX and RIS included, is on the edition home. Cite this report

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