Assessing and managing design storm variability and projection uncertainty in a changing coastal environment

Liang, Marissa S.; Julius, Susan; Neal, Jill; Yang, Yue-Tzu

doi:10.1016/j.jenvman.2020.110494

Cited by 5 publications

(3 citation statements)

References 54 publications

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“…This variability could result from a number of sources, including the range of individual GCM projections (as interpreted by the LOCA downscaling of CMIP5), uncertainties in the Atlas 14 estimation process, and “luck of the draw” as to whether rare events are sampled within periods of record. For example, Liang et al (2020) provide a detailed examination of design storm uncertainty under future climate for the Chesapeake Bay region. Liang et al demonstrate how local-scale spatial variability in extreme precipitation is subject to uncertainty associated with both the Atlas 14 regionalization of parameters and the spatial downscaling process.…”

Section: Discussionmentioning

confidence: 99%

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Spatial analysis of future climate risk to stormwater infrastructure

Butcher

Sarkar²,

Johnson

et al. 2023

J American Water Resour Assoc

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Climate change is expected to result in more intense precipitation events that will affect the performance and design requirements of stormwater infrastructure. Such changes will vary spatially, and climate models provide a range of estimates of the effects on events of different intensities and recurrence. Infrastructure performance should be evaluated against the expected range of events, not just rare extremes. We present a national‐scale, spatially detailed screening assessment of the potential effects of climatic change on precipitation, stormwater runoff, and associated design requirements. This is accomplished through adjustment relative to multiple future climate scenarios of precipitation intensity–duration–frequency analyses presented in NOAA Atlas 14, which are commonly used in infrastructure design. Future precipitation results are estimated for each Atlas 14 station (these currently omit the Pacific Northwest). Results are interpolated using a geographically conditioned regression kriging approach to provide information about potential climate change impacts in a format more directly useful to local stormwater managers. The intensity of 24‐h events with 2‐year or greater recurrence is likely to increase in most areas of the United States leading to increased runoff and potential need for increased storage volumes. Changes in more frequent events (e.g., the 90th percentile event) commonly used in design of green infrastructure are relatively less.

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Section: Discussionmentioning

confidence: 99%

“…Liang et al (2020) provide a detailed examination of design storm uncertainty under future climate for the Chesapeake Bay region. Liang et al demonstrate how local-scale spatial variability in extreme precipitation is subject to uncertainty associated with both…”

mentioning

confidence: 99%

Spatial analysis of future climate risk to stormwater infrastructure

Butcher

Sarkar²,

Johnson

et al. 2023

J American Water Resour Assoc

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“…Due to the weak tolerance and poor ability to migrate, the taxonomic compositions and distribution patterns of soil fauna will sensitively respond to environmental changes (Meloni et al, 2020;Yin et al, 2019;Tao et al, 2019). It is known that the environment in the coast is always changing (Liang et al, 2020), and thus soil fauna provide valuable indicators of environmental changes in the coast. At present, most studies regarding responses of soil fauna to environmental variations have mainly focused on the diversity and spatiotemporal patterns of soil fauna.…”

Section: Introductionmentioning

confidence: 99%

Soil macro-fauna respond to environmental variations along a coastal-inland gradient

Zheng

Tao

Wang

et al. 2020

PeerJ

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Varied environmental conditions in coastal-inland zones tend to influence soil faunal communities. However, few studies have focused on the responses of soil fauna to environmental variations along the coastal-inland gradient. In order to better understand the aforementioned responses, a total of 80 soil macro-faunal samples were collected at the five different distances from the coastline of China’s Bohai Bay. The results revealed that the compositions, structural characteristics and diversity of the soil macro-fauna varied among the different habitats. With the increases in the distance from the sea, the individual density, richness and diversity levels of the soil macro-fauna all first increased and then decreased. The individual density, richness and diversity values were all at their maximum at 30 km from the sea. The Edge effect promoted unique and rare soil macro-faunal taxa. Formicidae, Curculionidae and Aphodiidae were found to be the edge taxa. Agelenidae, Liocranidae and Nematocera were considered to be indicator taxa of severe sea effects. Paradoxosomatidae was an indicator taxon of slight effects. Overall, the environmental variations along the coastal-inland gradient were found to have the potential to affect the soil macro-faunal communities, and the different taxa of the soil macro-fauna responded to those variations in different ways. This study further revealed the processes and mechanisms of the sea influencing the soil macro-faunal communities, which had been caused by the coastal-inland gradient. The results of this study also provided a theoretical basis for developing future biodiversity guidelines for coastal ecosystems.

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