PRESSurE suspended sediment data time series, Gorkha earthquake, Nepal
Bibliographic record
Abstract
This data set was taken within the Perturbations of Earth Surface Processes by Large Earthquakes PRESSurE Project (https://www.gfz-potsdam.de/en/section/geomorphology/projects/pressure/), Hazard and Risk Team (HART) project by the German Center for Geosciences GFZ Potsdam. This project aims to better understand the role of earthquakes on earth surface processes. Strong earthquakes cause transient perturbations of the near Earth’s surface system. These include the widespread landsliding and subsequent mass movement and the loading of rivers with sediments. In addition, rock mass is shattered during the event, forming cracks that affect rock strength and hydrological conductivity. Often overlooked in the immediate aftermath of an earthquake, these perturbations can represent a major part of the overall disaster with an impact that can last for years before restoring to background conditions. Thus, the relaxation phase is part of the seismical-ly induced change by an earthquake and needs to be monitored in order to understand the full impact of earthquakes on the Earth system. Following the April 2015 Mw 7.9 Gorkha earthquake, 6 hydrological stations were installed on the Buri Gandaki, Trisuli, Bhotekoshi, Sunkoshi, Koshi and Kahole Khola rivers, draining the epicentral area. The stations were operated for 4 monsoon sea-sons from May/June 2015 to October 2018. The stations were equipped with river stage height measurements and manned daily river sampling for suspended river sediments and water geo-chemistry. In this data publication we present the data from the small head water catchment Ka-hule Khole (see also Andermann et al. 2021, https://doi.org/10.5880/GFZ.4.6.2021.003). Bhotekoshi at Barabise, Sunkoshi at Khurkot and Koshi at Chatara. The samples were filtered at the sampling location and analyzed at the GFZ Potsdam SedLab, section 4.6 Geomorphology, for suspended sed-iment concentration and grainsize distribution. A small sample batch of suspended sediment concentrations was published already in Cook et al. 2018. The samples BA_01.07.2016 – BA_25.07.2016 have been published in this manuscript in figure 4. This data publication contains 920 suspended sediment measurements and respective grainsize distributions. List after station: Kahule Khola 230 samples, Bhotekoshi 282, Sunkoshi 189, and Sapta Koshi 219 samples.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".