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Research article · 2025 · Full text

International Journal of Geography Geology and Environment

Geomorphic effectiveness of extreme rainfall events in Drakensberg mountain catchments

Agus WidodoPutri HandayaniDimas Hartono

Volume 7(6) · Pages 110–112 · DOI: 10.22271/27067483.2025.v7.i6b.719 ↗

Research areasSoil erosion and sediment transportLandslides and related hazardsHydrology and Sediment Transport Processes

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Abstract

Author-written

Does most erosion happen during ordinary storms or during rare, high-intensity events? This question has practical consequences for hillslope management in the Drakensberg Mountains of South Africa, where steep basalt slopes supply sediment to downstream reservoirs. This research measured sediment yields from five nested catchments (0.8–12.4 km²) in the upper Thukela River basin during 23 rainfall events over two wet seasons (October 2021–March 2023). Five events exceeded the 90th-percentile rainfall intensity threshold (>48 mm/hr for 30 minutes), and these extreme events accounted for 67.3% of the total two-year suspended sediment yield despite comprising only 21.7% of total rainfall. Sediment yield per event ranged from 0.4 t/ha for moderate storms to 84.7 t/ha for the most intense event (114 mm/hr, 3 February 2023). Sheet erosion and rill erosion dominated on grassy slopes, while debris flows were triggered on exposed basalt scarps during the three highest-intensity events. The results demonstrate that geomorphic work in these catchments is concentrated in a small number of extreme events, with implications for sediment yield prediction models that rely on average rainfall statistics.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Managing hillslopes in the Drakensberg Mountains is important because steep basalt slopes provide sediment to downstream reservoirs. View evidence ↗

      Why it matters

      Managing hillslopes in the Drakensberg Mountains is important because steep basalt slopes provide sediment to downstream reservoirs.

      In the paper's own words

      “This question has practical consequences for hillslope management in the Drakensberg Mountains of South Africa, where steep basalt slopes supply sediment to downstream reservoirs.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Predicting sediment yield is a practical necessity because the Thukela River system supplies water and hydropower to Durban and nearby areas. View evidence ↗

      Why it matters

      Predicting sediment yield is a practical necessity because the Thukela River system supplies water and hydropower to Durban and nearby areas.

      In the paper's own words

      “Downstream, the Thukela River system delivers sediment to reservoirs that supply water and hydropower to Durban and surrounding areas, making sediment yield prediction a practical concern”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The basalt caprock in the region weathers into thin soils that are particularly susceptible to erosion during high-intensity rainfall. View evidence ↗

      Why it matters

      The basalt caprock in the region weathers into thin soils that are particularly susceptible to erosion during high-intensity rainfall.

      In the paper's own words

      “Basalt caprock weathers into thin, erodible soils that are especially vulnerable to high-intensity rainfall.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aims to determine whether the majority of erosion occurs during common storms or rare, high-intensity rainfall events. View evidence ↗

      The question

      The study aims to determine whether the majority of erosion occurs during common storms or rare, high-intensity rainfall events.

      In the paper's own words

      “Does most erosion happen during ordinary storms or during rare, high-intensity events?”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • Researchers monitored sediment yields across five nested catchments ranging from 0.8 to 12.4 km² in the upper Thukela River basin over 23 rainfall events between October 2021 and March 2023. View evidence ↗

      What they did

      Researchers monitored sediment yields across five nested catchments ranging from 0.8 to 12.4 km² in the upper Thukela River basin over 23 rainfall events between October 2021 and March 2023.

      In the paper's own words

      “This research measured sediment yields from five nested catchments (0.8–12.4 km²) in the upper Thukela River basin during 23 rainfall events over two wet seasons (October 2021–March 2023).”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The study used pressure transducers for 15-minute stage recording and ISCO 6712 automatic water samplers at five catchment outlets. View evidence ↗

      What they did

      The study used pressure transducers for 15-minute stage recording and ISCO 6712 automatic water samplers at five catchment outlets.

      In the paper's own words

      “Five catchment outlets were instrumented with pressure transducers for stage recording (15-minute intervals) and ISCO 6712 automatic water samplers triggered at stage thresholds.”

      Page 2

      Found in: Materials

      Read it in the full textOpen PDF at page 2 ↗
    • Erosion features such as rills, gullies, and debris flow tracks were documented after events using drone photogrammetry and differential GPS. View evidence ↗

      What they did

      Erosion features such as rills, gullies, and debris flow tracks were documented after events using drone photogrammetry and differential GPS.

      In the paper's own words

      “Post-event field surveys documented erosion features (rills, gullies, debris flow tracks) using differential GPS and drone photogrammetry”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • Five extreme events produced 67.3% of the total suspended sediment yield over two years, even though they only accounted for 21.7% of the total rainfall. View evidence ↗

      What they found

      Five extreme events produced 67.3% of the total suspended sediment yield over two years, even though they only accounted for 21.7% of the total rainfall.

      In the paper's own words

      “Five events exceeded the 90th-percentile rainfall intensity threshold (>48 mm/hr for 30 minutes), and these extreme events accounted for 67.3% of the total two-year suspended sediment yield despite comprising only 21.7% of total rainfall.”

      Page 1

      Found in: Climatic Conditions During the Monitoring Period

      Read it in the full textOpen PDF at page 1 ↗
    • Sediment yield varied significantly by event intensity, ranging from 0.4 t/ha during moderate storms to 84.7 t/ha during the most intense event on 3 February 2023. View evidence ↗

      What they found

      Sediment yield varied significantly by event intensity, ranging from 0.4 t/ha during moderate storms to 84.7 t/ha during the most intense event on 3 February 2023.

      In the paper's own words

      “Sediment yield per event ranged from 0.4 t/ha for moderate storms to 84.7 t/ha for the most intense event (114 mm/hr, 3 February 2023).”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Sheet erosion on grassland slopes (8–25°) occurred during all five extreme events and contributed 41.3% of the yield. View evidence ↗

      What they found

      Sheet erosion on grassland slopes (8–25°) occurred during all five extreme events and contributed 41.3% of the yield.

      In the paper's own words

      “Sheet erosion | All 5 | 8–25 | Grassland slopes | 41.3”

      Page 2

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 2 ↗
    • Debris flows on basalt scarps (30–55°) were observed during events E3, E4, and E5, contributing 12.3% of the sediment yield. View evidence ↗

      What they found

      Debris flows on basalt scarps (30–55°) were observed during events E3, E4, and E5, contributing 12.3% of the sediment yield.

      In the paper's own words

      “Debris flow | E3, E4, E5 | 30–55 | Basalt scarps | 12.3”

      Page 2

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 2 ↗
    • The study identified a rainfall intensity threshold of approximately 75–80 mm/hr for the initiation of debris flows. View evidence ↗

      What they found

      The study identified a rainfall intensity threshold of approximately 75–80 mm/hr for the initiation of debris flows.

      In the paper's own words

      “The existence of an intensity threshold for debris flow initiation (roughly 75–80 mm/hr based on these observations) is important for hazard mapping and early warning systems.”

      Page 3

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 3 ↗
  5. What it means

    • The authors conclude that sediment yield models for these catchments should prioritize the impact of rare, high-intensity events over average rainfall statistics. View evidence ↗

      What it means

      The authors conclude that sediment yield models for these catchments should prioritize the impact of rare, high-intensity events over average rainfall statistics.

      In the paper's own words

      “Sediment yield models for these catchments must account for the disproportionate contribution of rare, high-intensity events rather than relying on average rainfall statistics.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

3 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (Drakensberg mountain catchments). It explains the idea and does not show study data.↗ Enlarge
Sediment Yield Asymmetry
AI-generated conceptual illustration (Drakensberg mountain catchments). It explains the idea and does not show study data.

AI-generated conceptual illustration (Drakensberg mountain catchments). It explains the idea and does not show study data.

Open full-size image ↗

Sediment Yield Asymmetry

AI-generated conceptual illustration (Drakensberg mountain catchments). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Yield (t/ha): E1 vs E2 vs E3 vs E4 vs E5
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Yield (t/ha): E1 vs E2 vs E3 vs E4 vs E5

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Yield Contribution (%): Sheet erosion vs Rill erosion vs Gully expansion vs Debris flow
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Yield Contribution (%): Sheet erosion vs Rill erosion vs Gully expansion vs Debris flow

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Summary of the five extreme rainfall events and associated sediment yieldsTable 1Page 2Erosion process observations after extreme eventsTable 2Page 2Box plots of sediment yield (t/ha) for the five extreme events, grouped by 30-minute rainfall intensity class.Figure 1Page 2Donut chart showing proportional contribution of fourFigure 2Page 3
FULL TEXT Original article · reflowed for reading

Introduction

The concept of geomorphic effectiveness asks a deceptively simple question: which events do the most landscape work [1] ? Wolman and Miller's classic 1960 analysis argued that moderate, frequent events dominate long-term sediment transport because, although rare storms move more sediment per event, they occur too infrequently to rival the cumulative effect of ordinary ones [2] . But in steep mountain catchments with thin soils and exposed bedrock, the balance can tip toward extreme events that trigger mass movements and channel-bed reorganisation that moderate storms cannot produce [3] . The Drakensberg escarpment in KwaZulu-Natal, South Africa, rises above 3,000 m and receives 1,200-1,800 mm of rainfall annually, concentrated in convective thunderstorms from October to March [4] . Basalt caprock weathers into thin, erodible soils that are especially vulnerable to high-intensity rainfall. Downstream, the Thukela River system delivers sediment to reservoirs that supply water and hydropower to Durban and surrounding areas, making sediment yield prediction a practical concern [5] . Previous erosion research in the Drakensberg used erosion pin networks and plot-scale runoff traps, but catchment-scale, event-based sediment yield data remained scarce. This research addressed that gap by monitoring five nested catchments over 23 rainfall events and quantifying the contribution of extreme events to total sediment output [6] .

Study Area Description

The five catchments are nested within the upper Thukela basin at elevations between 1,680 and 3,050 m, approximately 15 km south of the Royal Natal National Park boundary (28°48′S, 29°12′E). Land cover is predominantly montane grassland (Themeda triandra and Festuca caprina) with scattered Protea woodland at lower elevations. Soils are shallow lithosols and regosols derived from Drakensberg basalt, typically 15-40 cm deep on hillslopes and up to 120 cm in valley-bottom colluvial deposits. Mean annual rainfall at the nearest station (Cathedral Peak, 1,850 m) is 1,344 mm [7] .

Materials and Methods

Materials and Methods

Materials

Field monitoring ran from October 2021 to March 2023 (two complete wet seasons), coordinated from Medan National University of Earth Sciences, North Sumatra, Indonesia, with field installation assistance from the University of KwaZulu-Natal. Five catchment outlets were instrumented with pressure transducers for stage recording (15-minute intervals) and ISCO 6712 automatic water samplers triggered at stage thresholds. Tipping-bucket rain gauges (0.2 mm resolution) were installed at three elevations within the largest catchment. Suspended sediment concentration (SSC) was determined gravimetrically from filtered (0.45 μm) water samples, with 6-18 samples collected per event depending on hydrograph duration [8] .

Methods

Event sediment yield was calculated by integrating SSCdischarge rating curves over each event hydrograph. Rating curves were developed separately for each catchment using log-linear regression of SSC against discharge (r² = 0.74-0.89). Rainfall intensity was characterised by maximum 30minute intensity (I₃₀) for each event. Events were classified as extreme if I₃₀ exceeded the 90th percentile of the twoyear record (48 mm/hr). Post-event field surveys documented erosion features (rills, gullies, debris flow tracks) using differential GPS and drone photogrammetry [9,10].

Climatic Conditions During the Monitoring Period

Total rainfall during the two wet seasons was 1,287 mm (2021-2022) and 1,412 mm (2022-2023), bracketing the long-term mean. The 2022-2023 season included a particularly intense event on 3 February 2023, when 87 mm fell in 45 minutes (I₃₀ = 114 mm/hr), the highest recorded at the site. Five of the 23 monitored events exceeded the 48 mm/hr extreme threshold. The five extreme events collectively produced 220.3 t/ha of suspended sediment, representing 67.3% of the total twoyear yield of 327.1 t/ha. The remaining 18 events, with I₃₀ values between 12 and 44 mm/hr, contributed only 106.8 t/ha (32.7%).

Results

Results

Comprehensive Interpretation

Sheet erosion on grass-covered slopes was the most widespread process, operating during all five events, but debris flows from basalt scarps -triggered only by I₃₀ above 78 mm/hrdelivered disproportionately coarse sediment and re-mobilised stored colluvium. The existence of an intensity threshold for debris flow initiation (roughly 75-80 mm/hr based on these observations) is important for hazard mapping and early warning systems.

Discussion

The concentration of 67.3% of total sediment yield in five events supports the view that extreme events dominate geomorphic work in steep, soil-poor mountain catchments, contradicting the Wolman-Miller model's prediction of moderate-event dominance [2] . Similar findings have been reported from the European Alps, where Lenzi et al. [11] showed that the top 10% of storms accounted for over 50% of bedload transport. The Drakensberg data push that asymmetry further, likely because thin basaltic soils reach infiltration capacity at lower rainfall totals than the deeper moraines of alpine catchments. The debris flow threshold at approximately 78 mm/hr I₃₀ matches the range of 60-90 mm/hr reported for shallow landslide initiation on volcanic substrates elsewhere in southern Africa [12] . This threshold has practical value: automated rain gauge networks linked to alert systems could issue warnings when I₃₀ exceeds 75 mm/hr in monitored catchments.

Conclusion

Event-based monitoring of five Drakensberg catchments over two wet seasons shows that five extreme rainfall events (≥48 mm/hr I₃₀) produced 67.3% of total suspended sediment yield. The most intense event (114 mm/hr) generated 84.7 t/hamore than 200 times the yield of a typical moderate storm. Debris flows were triggered only above approximately 78 mm/hr, establishing a practical intensity threshold. Sediment yield models for these catchments must account for the disproportionate contribution of rare, high-intensity events rather than relying on average rainfall statistics.

Acknowledgement

Acknowledgements Funding SourcesSupported by research funds at Medan National University of Earth Sciences.

Figures and tables from the paper

Table 1. Summary of the five extreme rainfall events and associated sediment yields
EventDateTotal Rain (mm)I₃₀ (mm/hr)Duration (hr)SSC Peak (g/L)Yield (t/ha)
E117 Nov 202154482.38.712.4
E228 Jan 202272623.114.328.7
E314 Dec 202263781.821.643.2
E43 Feb 2023871141.538.484.7
E522 Feb 202358912.026.151.3

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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Summary of the five extreme rainfall events and associated sediment yields↗ Enlarge
Table 1
Summary of the five extreme rainfall events and associated sediment yields

Summary of the five extreme rainfall events and associated sediment yields

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗
Table 2. Erosion process observations after extreme events
ProcessEvents ObservedSlope Range (°)Contributing AreaYield Contribution (%)
Sheet erosionAll 58–25Grassland slopes41.3
Rill erosionAll 515–35Bare/burned slopes27.8
Gully expansionE2, E3, E4, E512–28Valley heads18.6
Debris flowE3, E4, E530–55Basalt scarps12.3

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Erosion process observations after extreme events↗ Enlarge
Table 2
Erosion process observations after extreme events

Erosion process observations after extreme events

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗
Figure 1. Box plots of sediment yield (t/ha) for the five extreme events, grouped by 30-minute rainfall intensity class.
Box plots of sediment yield (t/ha) for the five extreme events, grouped by 30-minute rainfall intensity class.↗ Enlarge
Figure 1
Box plots of sediment yield (t/ha) for the five extreme events, grouped by 30-minute rainfall intensity class.

Box plots of sediment yield (t/ha) for the five extreme events, grouped by 30-minute rainfall intensity class.

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Figure 2. Donut chart showing proportional contribution of four
Donut chart showing proportional contribution of four↗ Enlarge
Figure 2
Donut chart showing proportional contribution of four

Donut chart showing proportional contribution of four

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗

References

17 in the original paper
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