Abstract The Mississippi River Bird‐foot Delta (MRBD) has long been at risk of deterioration due to Relative Sea Level Rise (RSLR), yet information on historical spatial distribution in wetland gain and loss remains limited. Using a Random Forest algorithm in Google Earth Engine, we extract wetland area from multiple Landsat images spanning 1990–2022. Data are integrated with sediment load, wave dynamics, sea level, and surface elevation to analyze drivers of wetland gain and loss. Results indicate a minor net change of only 1.21 km2, with a total gain of 160.83 km2and a total loss of 159.62 km2. Overall stability of wetland area masks significant regional variability, with notable wetland expansion in the interior and substantial losses along eastern and southeastern margins. Sediment diversion toward the interior of the delta lead to distributaries narrowing (Main Pass and Pass a Loutre) that further hindered sediment‐laden water transport into deltaic margins. Wetland dynamics along the edges were closely linked to wave action, with large‐scale retreat in northern (4.0 ± 9.9 m/yr), eastern (58.0 ± 48.2 m/yr), and southeastern (38.6 ± 15.8 m/yr) regions, while progradation in the southern (13.6 ± 10.1 m/yr) and western areas (7.4 ± 19.4 m/yr). Fluvial sediments significantly impact wetland growth with 1‐year lag. Vertical accretion of wetlands exceeds RSLR, indicating equilibrium along vertical dimension but are affected by lateral dynamics driven by wave and fluvial sediment inputs. In conclusion, the MRBD is abandoning the distal parts to wave erosion, while focusing on building wetlands in the interior to create a more compact delta.
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Sea level rise and the drivers of daily water levels in the Sacramento-San Joaquin Delta
Abstract Water levels in deltas and estuaries vary on multiple timescales due to coastal, hydrologic, meteorologic, geologic, and anthropogenic factors. These diverse factors increase the uncertainty of, and may bias, relative sea level rise (RSLR) estimates. Here, we evaluate RSLR in San Francisco Bay and the Sacramento-San Joaquin Delta, USA by applying a physics-based, nonlinear regression to 50 tide gauges that determines the spatially varying controls on daily mean water level for water years 2004–2022. Results show that elevated river flow and pumping (99th percentile) raise water level up to 6 m and lower it up to 0.35 m, respectively, and coastal water level variations are attenuated by 30-60% within the Delta. Strong westerly winds raise water level up to 0.17 m, and tidal-fluvial interaction during spring tides and low discharge raises water level up to 0.15 m. Removal of these interfering factors greatly improves RSLR estimates, narrowing 95% confidence intervals by 89–99% and removing bias due to recent drought. Results show that RSLR is spatially heterogeneous, with rates ranging from − 2.8 to 12.9 mm y-1(95% uncertainties < 1 mm y-1). RSLR also exceeds coastal SLR of 3.3 mm y-1in San Francisco at 85% of stations. Thus, RSLR in the Delta is strongly influenced by local vertical land motion and will likely produce significantly different, location-dependent future flood risk trajectories.
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- Award ID(s):
- 2013280
- PAR ID:
- 10546503
- Publisher / Repository:
- Springer: Nature Journals
- Date Published:
- Journal Name:
- Scientific Reports
- Volume:
- 13
- Issue:
- 1
- ISSN:
- 2045-2322
- Subject(s) / Keyword(s):
- Sea level rise, water levels, river and wind influence, pumping, coastal variability
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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