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ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
DRYAD
Dataset . 2018
License: CC BY
Data sources: Datacite
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Runoff modeling of a coastal basin to assess variations in response to shifting climate and land use: Implications for managed recharge

Authors: Beganskas, Sarah; Young, Kyle; Fisher, Andrew; Harmon, Ryan; Lozano, Sacha;

Runoff modeling of a coastal basin to assess variations in response to shifting climate and land use: Implications for managed recharge

Abstract

We quantified hillslope runoff distribution in a coastal, mixed-use basin, the Pajaro Valley Drainage Basin (PVDB), under different climate and land use conditions, evaluating the potential for distributed stormwater collection coupled with managed aquifer recharge (DSC-MAR) to improve groundwater supply. We developed dry, normal, and wet climate scenarios using historic precipitation and temperature data, and we compared contemporary land use to pre-development land use by replacing developed areas in the model with plausible native vegetation types. Relative to pre-development land use, urban and agricultural development resulted in up to 2.3 times as much simulated runoff generation, greater spatial variability in runoff, and less basin-wide groundwater recharge; these differences were most pronounced during the dry climate scenario. These results provide quantitative motivation for DSC-MAR projects, which collect excess hillslope runoff and route it toward underlying aquifers to improve groundwater supply. Aquifers in the PVDB are in a state of chronic overdraft and we found that addressing 10% of the region’s annual groundwater deficit would require recharging 4.3% of basin-wide runoff during the normal scenario, and 10.0% and 1.5% of runoff during the dry and wet scenarios, respectively. During the dry scenario, runoff generation was focused within a smaller area; the 10% of the basin that generated the most runoff accounted for 46% of basin-wide runoff during the dry scenario and just 31% in the wet scenario. An MAR suitability map combining soil, bedrock, and aquifer properties with runoff supply shows that DSC-MAR projects could be effective in many locations throughout the basin during all climate scenarios and highlights the importance of strategically locating DSC-MAR projects to maximize potential water supply benefit.

This dataset includes all files needed to run Precipitation-Runoff Modeling System (PRMS) for the Pajaro Valley, California, under different climate and land use scenarios. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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