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Record W2359690888

Strategic thinking on major issues in China flood control

2010· article· en· W2359690888 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvances in Water Science · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicFlood Risk Assessment and Management
Canadian institutionsMcGill University
Fundersnot available
KeywordsFlood mythRainwater harvestingEnvironmental planningFlood controlWater resource managementChinaNatural hazardEnvironmental scienceEnvironmental resource managementRisk analysis (engineering)BusinessHydrology (agriculture)Civil engineeringGeographyEngineering
DOInot available

Abstract

fetched live from OpenAlex

Research efforts were made to study several major issues in formulating the flood prevention plan of China's seven large river basins. The planning activity was organized by the Ministry of Water Resources. Our research recommendations were adopted during the course of the plan formulation. For example,we propose using the severe floods submerge areas of the 20th century as benchmarks for the identification of future flood prevention areas. Our viewpoint is that the most important consideration in the flood risk management is to actively circumvent risks and respond to risks. The core of circumvention risk is to restrict those unreasonable social economic activities of humankind,and thus reducing the flood risk. The design standard of a flood prevention area needs to be verified using a two-dimensional probability distribution method when the area is potentially threatened by two kinds of flood risks. Rationally upgrading the flood prevention standard is the priority in urban flood control. It is essential to better coordinate urban flood control and development,and to make full use of the urban damping effect on rainwater including retention of necessary water areas and utilization of rainwater. We should have well-balanced consideration to both options of storing and draining rainwater,rather than overemphasizing on the drainage option alone. We recommend that comparison and selection of safe development scheme for a flood retention area should comprehensively consider the risk zone that is divided using the integrated flood risk factor based upon the duration,frequency and depth of inundation,as well as the area natural and geographic conditions.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.004
GPT teacher head0.255
Teacher spread0.251 · 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