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预测强度-历时-频率曲线变化因子选择的决策支持

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United States
开始于 March 21, 2026

This document provides guidance for stormwater professionals on how to select change factors from the Projected Intensity‑Duration‑Frequency Curve Data Tool for the Chesapeake Bay Watershed and Virginia via a structured, risk-based decision process

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CLAIM 发布者 will • Mar 21, 2026
虽然数据工具提供了宝贵的见解，但其有效性取决于准确的本地数据和社区在决策中的参与。
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While the Data Tool offers valuable insights, its effectiveness is contingent on accurate local data and community engagement in decision-making.

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CLAIM 发布者 will • Mar 21, 2026
使用预计强度-历时-频率曲线数据工具对于使暴雨管理适应气候变化影响至关重要。
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The use of the Projected Intensity-Duration-Frequency Curve Data Tool is essential for adapting stormwater management to climate change impacts.

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CLAIM 发布者 will • Mar 21, 2026
实施RAND报告中的指导意见可以增强抵御洪水的适应能力，使切萨皮克湾地区的城市和农村社区受益。
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Implementing the guidance from the RAND report can enhance resilience against flooding, benefiting both urban and rural communities in the Chesapeake Bay area.

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CLAIM 发布者 will • Mar 21, 2026
对预计变化因子的关注可能会忽视那些在历史上成功管理暴雨的传统知识和本地化策略。
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The focus on projected change factors may overlook traditional knowledge and localized strategies that have successfully managed stormwater historically.

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CLAIM 发布者 will • Mar 21, 2026
过度依赖预计变化因子可能导致暴雨管理系统过度设计，浪费资源而无法解决实际需求。
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Relying heavily on projected change factors may lead to over-engineering stormwater systems, wasting resources without addressing real needs.

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