AWRA Water Blog

JAWRA HIGHLIGHTS – APRIL 2016

HIGHLIGHTS – JAWRA APRIL 2016

 [access full table of contents here: http://onlinelibrary.wiley.com/doi/10.1111/jawr.2016.52.issue-2/issuetoc ]

Wigington discusses ways in which authors can strengthen journal articles.

Somers et al. used heat pulses associated with urban storms as a tracer for pavement-derived stormwater inputs, providing a conservative estimate of the frequency with which these pollutants are transported into and through protected stream reaches downstream of urban areas.

Wohl et al. propose a decision process for managing large wood in floodplains and streams and for assessing the relative benefits and hazards associated with individual wood pieces and accumulations of wood.

Stephan and Endreny developed a dispersal area nonpoint source model to simulate how watershed properties of elevation, land cover, and soils upslope and downslope of each watershed pixel influence nutrient loading.

Null used a spatially-scaled approach to evaluate water supply reliability tradeoffs between removing reservoir storage and improving water conveyance in California.

Bachman et al. conducted a watershed-scale assessment to evaluate the influence of turf, urban, forest, native meadow, and mixed landuses on nitrogen export.

Fox et al. evaluated the effects of white water parks on upstream fish passage by concurrently monitoring fish movement and hydraulic conditions at multiple sites in a wadeable river in northern Colorado.

McConaghie and Cadenasso examined the relative contribution of urban drainage infrastructure and landuse to nitrogen export from a California urban system.

Leibowitz et al. developed a hydrologic landscape system to characterize hydrologic conditions across the Pacific Northwest states of Oregon, Washington, and Idaho.

McManus et al. used principal component analysis and linked micromaps to evaluate the influence of water quality and habit factors on biotic conditions in West Virginia streams.

Tabari and Willems studied anomalies in daily precipitation extremes by applying the quantile perturbation method (QPM) to data from 31 Iranian weather stations. Analyzing relationships among the anomalies and atmospheric indices identified possible causes of the anomalies.

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