A Review of Flood Management Considering the Impacts of Climate Change
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.
Bibliographic record
Abstract
Abstract Recent work on climatic change indicates that the frequency and severity of flooding in many parts of the world could increase due to major changes in the hydroclimatic regime and a continuing rise in mean sea level. Changes in the magnitude and intensity of precipitation and the timing of runoff will increase riverine flooding, including the occurrence of midwinter ice-jam floods in northern rivers. Higher sea levels will increase the likelihood of coastal flooding and problems with urban infrastructure draining to tidal estuaries. Unless action is taken to lessen the vulnerability of human settlements, flood damages will increase. Adaptation strategies are needed that identify and direct development away from flood-prone areas, and incorporate infrastructure design criteria that take a changing climate into account. In this paper, a methodological approach to developing strategies for flood management is presented. After considering the occurrence and potential consequences of floods, and the importance and means of flood management, the impacts of climate change on flood mitigation are considered. Key elements of a generic adaptive strategy for floodplain management are then proposed, and, finally, the implementation of a flood management program is discussed.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it