Estimating Extreme High Still Water Levels in North San Francisco Bay: Comparison of Annual Maxima Method with Direct and Indirect Methods

2022 ◽  
Vol 148 (1) ◽  
Author(s):  
Ismail Haltas
Keyword(s):  
San Francisco ◽  
San Francisco Bay ◽  
Water Levels ◽  
Indirect Methods ◽  
Direct And Indirect Methods

scholarly journals Traffic accidents and delays present contrasting pictures of traffic resilience to coastal flooding in the San Francisco Bay Area

2021 ◽  
Author(s):  
Indraneel Kasmalkar
Keyword(s):  
San Francisco ◽  
Traffic Accidents ◽  
San Francisco Bay ◽  
San Francisco Bay Area ◽  
Coastal Flooding ◽  
Water Levels ◽  
Bay Area ◽  
Local Roads ◽  
Traffic Volumes ◽  
Accident Rates

Climate change is intensifying coastal floods and increasing the risks of traffic disruption in low-lying, coastal communities. Efforts to understand the differential impacts of traffic disruption on communities have led to the concept of traffic resilience which captures the degree to which a traffic system can recover from disruption. Existing proxies of traffic resilience are focused on quantifying travel time delays but lack the important dimension of road safety. In this study, we quantify traffic resilience in terms of the change in non-highway car and pedestrian accident rates during the 5-10 am period as a result of coastal flooding in the San Francisco Bay Area for the 2020-2040 period. We use a regional traffic model to simulate traffic patterns under a range of coastal flood water levels. We use regressions that relate traffic volumes to historical accident rates to estimate accidents rates in the presence of flooding. Our results show that the flooding of highways forces commuters onto local roads passing through residential communities, causing a spike in accident rates. Unlike delays which increase sharply at the higher water levels considered in this study, we project that region-wide peak-hour accident rates may increase substantially at lower water levels.

scholarly journals Effect of Fluvial Discharges and Remote Non-Tidal Residuals on Compound Flood Forecasting in San Francisco Bay

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2481
Author(s):  
Babak Tehranirad ◽  
Liv Herdman ◽  
Kees Nederhoff ◽  
Li Erikson ◽  
Robert Cifelli ◽  
...  
Keyword(s):  
San Francisco ◽  
Coastal Water ◽  
Large Scale ◽  
San Francisco Bay ◽  
Flood Forecasting ◽  
Water Levels ◽  
Global Ocean ◽  
Coastal Flood ◽  
Extreme Water Levels ◽  
Recent Emergence

Accurate and timely flood forecasts are critical for making emergency-response decisions regarding public safety, infrastructure operations, and resource allocation. One of the main challenges for coastal flood forecasting systems is a lack of reliable forecast data of large-scale oceanic and watershed processes and the combined effects of multiple hazards, such as compound flooding at river mouths. Offshore water level anomalies, known as remote Non-Tidal Residuals (NTRs), are caused by processes such as downwelling, offshore wind setup, and also driven by ocean-basin salinity and temperature changes, common along the west coast during El Niño events. Similarly, fluvial discharges can contribute to extreme water levels in the coastal area, while they are dominated by large-scale watershed hydraulics. However, with the recent emergence of reliable large-scale forecast systems, coastal models now import the essential input data to forecast extreme water levels in the nearshore. Accordingly, we have developed Hydro-CoSMoS, a new coastal forecast model based on the USGS Coastal Storm Modeling System (CoSMoS) powered by the Delft3D San Francisco Bay and Delta community model. In this work, we studied the role of fluvial discharges and remote NTRs on extreme water levels during a February 2019 storm by using Hydro-CoSMoS in hindcast mode. We simulated the storm with and without real-time fluvial discharge data to study their effect on coastal water levels and flooding extent, and highlight the importance of watershed forecast systems such as NOAA’s National Water Model (NWM). We also studied the effect of remote NTRs on coastal water levels in San Francisco Bay during the 2019 February storm by utilizing the data from a global ocean model (HYCOM). Our results showed that accurate forecasts of remote NTRs and fluvial discharges can play a significant role in predicting extreme water levels in San Francisco Bay. This pilot application in San Francisco Bay can serve as a basis for integrated coastal flood modeling systems in complex coastal settings worldwide.

scholarly journals Drivers of extreme water levels in a large, urban, high-energy coastal estuary – A case study of the San Francisco Bay

2021 ◽  
pp. 103984
Author(s):  
Kees Nederhoff ◽  
Rohin Saleh ◽  
Babak Tehranirad ◽  
Liv Herman ◽  
Li Erikson ◽  
...  
Keyword(s):  
San Francisco ◽  
San Francisco Bay ◽  
High Energy ◽  
Water Levels ◽  
Extreme Water Levels ◽  
Coastal Estuary

scholarly journals Storm Surge Propagation and Flooding in Small Tidal Rivers during Events of Mixed Coastal and Fluvial Influence

2018 ◽  
Vol 6 (4) ◽  
pp. 158 ◽  
Author(s):  
Liv Herdman ◽  
Li Erikson ◽  
Patrick Barnard
Keyword(s):  
Storm Surge ◽  
San Francisco ◽  
River Discharge ◽  
San Francisco Bay ◽  
High Tide ◽  
Forecast Model ◽  
Water Levels ◽  
Tidal River ◽  
Storm Event ◽  
Tidal Forcing

The highly urbanized estuary of San Francisco Bay is an excellent example of a location susceptible to flooding from both coastal and fluvial influences. As part of developing a forecast model that integrates fluvial and oceanic drivers, a case study of the Napa River and its interactions with the San Francisco Bay was performed. For this application we utilize Delft3D-FM, a hydrodynamic model that computes conservation of mass and momentum on a flexible mesh grid, to calculate water levels that account for tidal forcing, storm surge generated by wind and pressure fields, and river flows. We simulated storms with realistic atmospheric pressure, river discharge, and tidal forcing to represent a realistic joint fluvial and coastal storm event. Storm conditions were applied to both a realistic field-scale Napa river drainage as well as an idealized geometry. With these scenarios, we determine how the extent, level, and duration of flooding is dependent on these atmospheric and hydrologic parameters. Unsurprisingly, the model indicates that maximal water levels will occur in a tidal river when high tides, storm surge, and large fluvial discharge events are coincident. Model results also show that large tidal amplitudes diminish storm surge propagation upstream and that phasing between peak fluvial discharges and high tide is important for predicting when and where the highest water levels will occur. The interactions between tides, river discharge, and storm surge are not simple, indicating the need for more integrated flood forecasting models in the future.

A Qualitative Study of Ecstasy Sellers in the San Francisco Bay Area

2004 ◽  
Author(s):  
Sheigla Murphy ◽  
Paloma Sales ◽  
Micheline Duterte ◽  
Camille Jacinto
Keyword(s):  
Qualitative Study ◽  
San Francisco ◽  
San Francisco Bay ◽  
San Francisco Bay Area ◽  
Bay Area

Cyborg Jotería Pedagogies: Latinx Drag Queens Leveraging Communication Ecologies in the Age of the Digital and Social Displacement

2020 ◽  
Vol 14 (2) ◽  
pp. 44-66
Author(s):  
José Ramón Lizárraga ◽  
Arturo Cortez
Keyword(s):  
San Francisco ◽  
San Francisco Bay ◽  
San Francisco Bay Area ◽  
Digital Technologies ◽  
Physical World ◽  
Political Issues ◽  
Drag Queen ◽  
Bay Area ◽  
Online Presence ◽  
Drag Queens

Researchers and practitioners have much to learn from drag queens, specifically Latinx queens, as they leverage everyday queerness and brownness in ways that contribute to pedagogy locally and globally, individually and collectively. Drawing on previous work examining the digital queer gestures of drag queen educators (Lizárraga & Cortez, 2019), this essay explores how non-dominant people that exist and fluctuate in the in-between of boundaries of gender, race, sexuality, the physical, and the virtual provide pedagogical overtures for imagining and organizing for new possible futures that are equitable and just. Further animated by Donna Haraway’s (2006) influential feminist post-humanist work, we interrogate how Latinx drag queens as cyborgs use digital technologies to enhance their craft and engage in powerful pedagogical moves. This essay draws from robust analyses of the digital presence of and interviews with two Latinx drag queens in the San Francisco Bay Area, as well as the online presence of a Xicanx doggie drag queen named RuPawl. Our participants actively drew on their liminality to provoke and mobilize communities around socio-political issues. In this regard, we see them engaging in transformative public cyborg jotería pedagogies that are made visible and historicized in the digital and physical world.

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