Skip to main content

Developing a Stochastic Hydrological Model for Informing Lake Water Level Drawdown Management

Dates

Publication Date
Start Date
2014-01-01
End Date
2018-12-31

Citation

He, X., Carmignani, J., Andreadis, K., Roy, A., Kumar, A., and Butler, K., 2023, Developing a stochastic hydrological model for informing lake water level drawdown management: U.S. Geological Survey data release, https://doi.org/10.5066/P94NQFCF.

Summary

This data release consists of four datasets which were used for evaluating winter drawdown (WD) lakes to follow the Massachusetts general WD guidelines. The first dataset ("Water level observations.csv") provides water level monitoring data of 21 (18 WD and 3 non-WD) recreational lakes in Massachusetts from 2014 to 2018. The water levels were measured by paired nonvented pressure transducers (HOBO U20L-01) and processed by ContDataQC package to remove potential inaccurate observations. For better comparison between lakes, the water level was relativized to each lake's normal pool level. This dataset was used for understanding the hydrology of WD and non-WD lakes and validating the hydrological model that we developed for WD lakes. [...]

Contacts

Attached Files

Click on title to download individual files attached to this item.

Guideline_Eval_Apr1refill.csv 2.67 KB text/csv
Guideline_Eval_Dec1drawdown.csv 1.61 KB text/csv
Water level observations.csv 1.38 MB text/csv
Water level simulations.csv 1.05 MB text/csv

Purpose

The data was used to explore the hydrology pattern of winter drawdown lakes and assess each lake's ability to follow the Massachusetts state winter drawdown guidelines.

Map

Communities

  • Cooperative Fish and Wildlife Research Units
  • National and Regional Climate Adaptation Science Centers
  • Northeast CASC

Tags

Provenance

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P94NQFCF

Item Actions

View Item as ...

Save Item as ...

View Item...