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Record W4243989385 · doi:10.1360/n072018-00314

流域湿地水文调蓄功能定量评估

2019· article· en· W4243989385 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

VenueSCIENTIA SINICA Terrae · 2019
Typearticle
Languageen
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

湿地水文调蓄功能是湿地生态系统服务功能的重要组成部分, 开展定量评估对湿地生态功能评价具有重要的理论意义和应用价值. 文章基于耦合湿地模块的PHYSITEL/HYDROTEL模型平台, 构建了流域湿地生态水文模型, 模拟了有/无湿地情景下多布库尔河流域水文过程, 定量评估了湿地削减洪峰和维持基流的水文功能. 研究结果表明, 多布库尔河流域湿地具有显著的径流调节能力, 体现在对总径流的削弱作用和对径流机制(流量、频率、历时和发生时间等)的改变作用. 湿地对快径流的影响具有明显的日、月和年时间尺度效应, 尤其在洪峰期间和汛期对快径流的削减作用最明显, 对快径流多年平均的削减作用为5.89%; 而对日、月和年基流的影响较弱, 对基流多年平均的维持作用为0.83%; 湿地对总径流、快径流和基流的影响效应(削弱或增强)和强度有明显的月、季节和年尺度变化特征, 但总体上发挥着削减洪峰和维持基流的功效. 研究结果从发挥湿地水文功能的视角为流域湿地恢复保护与水资源综合管控提供科学依据和新的思路.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.006
GPT teacher head0.196
Teacher spread0.190 · 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