InterimProgressReport

Automated Unimpaired Hydrologic Metric Scaling for California Streams The objective of this research project is to create an ArcPy-based scripting tool that will generate an unimpaired daily hydrograph for any stream reach in California. The tool will be based on Dr. Belize Lane’s research on classifying natural hydrologic regimes for California, Lane et al. 2017. When completed, this tool will allow the user to predict a suite of unimpaired hydrologic indices for any stream reach in the state regardless of current hydrologic conditions. The resulting estimates can be used to improve stream ecology, flood management, irrigation scheduling, water supply, and other water quality and watershed management decisions.加利福尼亚州溪流无干扰水文指标自动化缩放工具 本研究项目旨在开发一款基于ArcPy的脚本工具，可针对加利福尼亚州内任意河段生成无干扰逐日水文过程线。该工具的研发依据为Belize Lane博士针对加利福尼亚州自然水文情势分类的相关研究（Lane等，2017）。工具完成后，使用者可无需考虑当前水文条件，预测该州内任意河段的一系列无干扰水文指标。所得估算结果可用于优化溪流生态调控、洪水管理、灌溉调度、供水保障以及其他水质与流域管理相关决策。