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Record W2966080328 · doi:10.5194/piahs-381-1-2019

Preface: Land use and climate change impacts on erosion and sediment transport

2019· article· en· W2966080328 on OpenAlexaff
Sergey Chalov, V. N. Golosov, Adrian L. Collins, Mike Stone

Bibliographic record

VenueProceedings of the International Association of Hydrological Sciences · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil erosion and sediment transport
Canadian institutionsUniversity of Waterloo
FundersBiotechnology and Biological Sciences Research CouncilRussian Foundation for Basic Research
KeywordsErosionSediment transportSedimentEnvironmental scienceClimate changeHydrology (agriculture)Land use, land-use change and forestryLand usePhysical geographyGeographyGeologyOceanographyGeomorphologyGeotechnical engineeringEngineeringCivil engineering

Abstract

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The papers presented in this volume were part of a joint symposium combining The Second International Young Scientists Forum on Soil and Water Conservation (WASWAC) and the International Commission on Continental Erosion (ICCE-IAHS) which was held on 27–31 August 2018, in Moscow. Contributions were invited on work that investigates fluvial processes including hillslope and gully erosion and sediment transport, as well as river channel changes and management, the influence of hydro-sedimentological processes operating at local to global scales, and those that compare the findings drawn from local and global studies. A particular focus of the papers in this new volume is to provide regional examples of sediment movement along the sediment cascade in Northern Eurasia. Most of these works report scientific studies across a territory which covers nearly one sixth of the land surface of the Earth. PIAHS volume permits wider dissemination of these regional studies. Collectively, the papers cover studies from the East European plain, Kola Peninsula Mountains, Central Siberian Plateau, and the Kamchatka peninsula, as well as river catchments in Japan and Italy.\nThis PIAHS volume continues the long-term tradition of stand-alone proceedings from meetings convened by the International Commission on Continental Erosion (ICCE-IAHS). Since 1981, ICCE has arranged a sequence of conferences and published 36 proceedings – and this volume discusses the ICCE story through a detailed scientometric analysis of past ICCE activities (Bondarev, in this volume).\nThe first part of this volume comprises regional studies of soil and gully erosion (Sharifullin et al., in this volume; Gafurov et al., in this volume; Garankina et al., in this volume). The section also includes examples of an integrated approach to the study of sediment origin (Chalov et al., in this volume).\nThe second part of the volume is devoted to river process and connections with sediment transport issues. It includes novel studies of sediment yield presented by case studies from Italy (Porto and Callegari, in this volume), the Kamchatka peninsula (Kuksina, in this volume), Caucuses mountains (Tsyplenkov et al., in this volume) and channel erosion research (Golovlyov et al., in this volume; Fingert et al., in this volume; Kuznetsova et al., in this volume).\nThe third part of the volume links sediment transport processes and lake sedimentation, as well as environmental impacts. It mostly includes studies on the reconstruction of the long-term dynamics of sedimentation (Konoplev et al., in this volume; Wakiyama et al., in this volume; Garankina et al., in this volume), but also focuses on river runoff processes and salmon migration (Moreydo, in this volume).\nThe editors wish to thank all the contributing authors for their efforts and the numerous reviewers who contributed to the production of quality papers. Special acknowledgement is also extended to IAHS and WASWAC for facilitating the participation of young scientists. Additionally, this review is supported by RFBR project 18-05-60219.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.084
Threshold uncertainty score0.283

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0840.035

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.

Opus teacher head0.028
GPT teacher head0.230
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2019
Admission routes1
Has abstractyes

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