Reclamation impacts on the evolution of the tidal flat at Chongming Eastern Beach in Changjiang estuary
Bibliographic record
Abstract
崇明东滩在流域、海域来沙供应下面积不断扩大,从20世纪60年代起,其东部岸线向海推进大约10km,超过150km2的新生滩涂被围垦。本研究探讨这种筑堤围垦对崇明东滩演化产生的影响。收集了1965年—2011年间的5景Corona影像、40景Landsat影像和1景SPOT影像,利用影像水边线和对应潮情水位信息得到不同年份的崇明东滩+2m线位置,分析其延伸速率和方向的变化;对比影像及解译信息研究滩面植被、潮沟系统和团结沙的演化特点。结果显示,泥沙供应充足时海堤建设对潮滩的淤涨具有促进作用,这种作用在建堤初期表现更为明显;随着长江流域来沙的持续减少,崇明东滩+2m线的淤涨速度出现明显下降。海堤建设高程较低时可以改变东滩的淤涨方向,自然状态下向东、东北偏移的趋势减缓,近期转为向东南淤涨。海堤外潮流的反射和潮沟系统的发育对植被有较大的破坏,导致堤外集水盆地的形成和扩张,并最终退化为大面积光滩,这种退化过程随着多次筑堤重复出现。团结沙的并岸过程对北港北沙的演化具有参照意义。
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".