In-Situ Burning of Oil in Coastal Marshes. 1. Vegetation Recovery and Soil Temperature as a Function of Water Depth, Oil Type, and Marsh Type

2005 ◽  
Vol 39 (6) ◽  
pp. 1848-1854 ◽  
Author(s):  
Qianxin Lin ◽  
Irving A. Mendelssohn ◽  
Nelson P. Bryner ◽  
William D. Walton
Keyword(s):  
Soil Temperature ◽  
Water Depth ◽  
Vegetation Recovery ◽  
Coastal Marshes ◽  
Marsh Type ◽  
Oil Type

In-Situ Burning of Oil in Coastal Marshes. 2. Oil Spill Cleanup Efficiency as a Function of Oil Type, Marsh Type, and Water Depth

2005 ◽  
Vol 39 (6) ◽  
pp. 1855-1860 ◽  
Author(s):  
Qianxin Lin ◽  
Irving A. Mendelssohn ◽  
Kenneth Carney ◽  
Scott M. Miles ◽  
Nelson P. Bryner ◽  
...  
Keyword(s):  
Oil Spill ◽  
Water Depth ◽  
Coastal Marshes ◽  
Cleanup Efficiency ◽  
Marsh Type ◽  
Oil Spill Cleanup ◽  
Oil Type

HISTORICAL DISPERSANT AND IN-SITU BURNING OPPORTUNITIES IN THE UNITED STATES

1997 ◽  
Vol 1997 (1) ◽  
pp. 805-810
Author(s):  
Janet H. Kucklick ◽  
Don Aurand
Keyword(s):  
United States ◽  
Crude Oil ◽  
Water Depth ◽  
Oil Spills ◽  
Weather Conditions ◽  
The United States ◽  
Refined Oil ◽  
Marine Oil Spills ◽  
Oil Type

ABSTRACT Evaluating the value of using dispersants or in-situ burning in various regions of the United States requires an estimate of how often such technology might reasonably be considered. This study collected information on marine oil spills of 1000 barrels or more occurring in the coastal and offshore waters of the United States (excluding Alaska) from 1973 through June 1994. Each incident was examined using criteria for oil type, weather conditions, water depth, and distance from the shoreline. This allowed the frequency and geographic distribution of dispersible and burnable spills to be estimated. The effect of modifying the criteria on the frequency distribution of dispersible and burnable spills was evaluated. Data were obtained on 138 refined product and 69 crude oil spills. The majority of these spills occurred in shallow water, close to the shoreline, and/or close to a sensitive receptor. Depending on the severity of the criteria, between 10% and 51% of the crude oil spills and 4% and 18% of the refined oil spills studied were realistic candidates for dispersant use. Between 35% and 58% of the crude and 22% and 38% of the refined oil spills were realistic candidates for burning.

Remotely sensed temperature is a proxy of greenhouse gas emissions in intact and managed peatlands

2021 ◽  
Author(s):  
Ain Kull ◽  
Iuliia Burdun ◽  
Gert Veber ◽  
Oleksandr Karasov ◽  
Martin Maddison ◽  
...  
Keyword(s):  
Soil Temperature ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Water Table ◽  
Ecosystem Respiration ◽  
Ghg Emissions ◽  
Remotely Sensed ◽  
Water Table Depth ◽  
Gas Emissions

<p>Besides water table depth, soil temperature is one of the main drivers of greenhouse gas (GHG) emissions in intact and managed peatlands. In this work, we evaluate the performance of remotely sensed land surface temperature (LST) as a proxy of greenhouse gas emissions in intact, drained and extracted peatlands. For this, we used chamber-measured carbon dioxide (CO<sub>2</sub>) and methane (CH<sub>4</sub>) data from seven peatlands in Estonia collected during vegetation season in 2017–2020. Additionally, we used temperature and water table depth data measured in situ. We studied relationships between CO<sub>2</sub>, CH<sub>4</sub>, in-situ parameters and remotely sensed LST from Landsat 7 and 8, and MODIS Terra. Results of our study suggest that LST has stronger relationships with surface and soil temperature as well as with ecosystem respiration (R<sub>eco</sub>) over drained and extracted sites than over intact ones. Over the extracted cites the correlation between R<sub>eco</sub> CO<sub>2</sub> and LST is 0.7, and over the drained sites correlation is 0.5. In natural sites, we revealed a moderate positive relationship between LST and CO<sub>2</sub> emitted in hollows (correlation is 0.6) while it is weak in hummocks (correlation is 0.3). Our study contributes to the better understanding of relationships between greenhouse gas emissions and their remotely sensed proxies over peatlands with different management status and enables better spatial assessment of GHG emissions in drainage affected northern temperate peatlands.</p>

scholarly journals Testing the effect of water in crevasses on a physically based calving model

2012 ◽  
Vol 53 (60) ◽  
pp. 90-96 ◽  
Author(s):  
S. Cook ◽  
T. Zwinger ◽  
I.C. Rutt ◽  
S. O'Neel ◽  
T. Murray
Keyword(s):  
Finite Element ◽  
Water Depth ◽  
Surface Mass Balance ◽  
Two Dimensional ◽  
Finite Element Code ◽  
Surface Mass ◽  
Starting Point ◽  
Physically Based ◽  
Calving Rate

AbstractA new implementation of a calving model, using the finite-element code Elmer, is presented and used to investigate the effects of surface water within crevasses on calving rate. For this work, we use a two-dimensional flowline model of Columbia Glacier, Alaska. Using the glacier’s 1993 geometry as a starting point, we apply a crevasse-depth calving criterion, which predicts calving at the location where surface crevasses cross the waterline. Crevasse depth is calculated using the Nye formulation. We find that calving rate in such a regime is highly dependent on the depth of water in surface crevasses, with a change of just a few metres in water depth causing the glacier to change from advancing at a rate of 3.5 kma–1 to retreating at a rate of 1.9 km a–1. These results highlight the potential for atmospheric warming and surface meltwater to trigger glacier retreat, but also the difficulty of modelling calving rates, as crevasse water depth is difficult to determine either by measurement in situ or surface mass-balance modelling.

Defining restoration targets for water depth and salinity in wind-dominated Spartina patens (Ait.) Muhl. coastal marshes

2009 ◽  
Vol 376 (3-4) ◽  
pp. 327-336 ◽  
Author(s):  
J.A. Nyman ◽  
M.K. La Peyre ◽  
A. Caldwell ◽  
S. Piazza ◽  
C. Thom ◽  
...  
Keyword(s):  
Water Depth ◽  
Spartina Patens ◽  
Coastal Marshes ◽  
Restoration Targets

Nitrogen mineralisation and its error of estimation under field conditions related to the light-fraction soil organic matter

Soil Research ◽  
1996 ◽  
Vol 34 (5) ◽  
pp. 755 ◽  
Author(s):  
J Sierra
Keyword(s):  
Soil Moisture ◽  
Spatial Variability ◽  
Soil Temperature ◽  
Light Fraction ◽  
Field Conditions ◽  
Optimum Level ◽  
N Mineralisation ◽  
Undisturbed Samples ◽  
Intact Soil Cores

In situ, incubations of intact soil cores were carried out to identify factors controlling nitrogen (N) mineralisation and its spatial variability under field conditions. The analysed factors were soil moisture, temperature, and the content of light-fraction (density ≤ 2 Mg/m3) organic carbon (LC) contained in the soil. The error associated with the estimate of in situ N mineralisation was analysed using undisturbed samples in laboratory incubations. The coefficient of variation of in situ N mineralisation ranged from 58 to 234%. Nitrogen and LC mineralisation in the field showed a similar temporal pattern. The major factor affecting this pattern was soil temperature, soil moisture being near the optimum level throughout the experiment. The rate of N mineralisation during an incubation period was correlated with the content of LC at the beginning of the period; this factor explained 40–50% of the variation in N mineralisation. At a low rate of N mineralisation, a large proportion of the spatial variability was attributed to the error of estimation. From the relationship between N mineralisation and LC content, we estimated the rate constant k which could be expressed as a function of soil temperature. Within the observed temperature range (daily mean average 11–17°C), the Q10 (temperature coefficient) of in situ N mineralisation was 1.5. Negative values of N mineralisation were associated with the lower LC content of each period, indicating the presence of an immobilisation process, or that a proportion of LC was not involved in N mineralisation.

scholarly journals Dimensionless Assessment Method of Landslide Dam Formation Caused by Tributary Debris Flow Events

Geofluids ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Kun-Ting Chen ◽  
Xiao-Qing Chen ◽  
Gui-Sheng Hu ◽  
Yu-Shu Kuo ◽  
Yan-Rong Huang ◽  
...  
Keyword(s):  
Debris Flow ◽  
Water Depth ◽  
Debris Flows ◽  
Landslide Dam ◽  
Assessment Method ◽  
Main Stream ◽  
Deposition Thickness ◽  
The Relationship ◽  
Prepared Response

In this study, we develop a dimensionless assessment method to evaluate landslide dam formation by considering the relationship between the run-out distance of a tributary debris flow and the width of the main stream, deposition thickness of the tributary debris flow, and the water depth of the main stream. Based on the theory of debris flow run-out distance and fan formation, landslide dam formation may result from a tributary debris flow as a result of two concurrent formation processes: (1) the run-out distance of the tributary debris flow must be greater than the width of the main stream, and (2) the minimum deposition thickness of the tributary debris flow must be higher than the in situ water depth of the main stream. At the confluence, one of four types of depositional scenarios may result: (1) the tributary debris flow enters into the main stream and forms a landslide dam; (2) the tributary debris flow enters into the main stream but overflow occurs, thus preventing complete blockage of the main stream; (3) the tributary debris flow enters into the main stream, does not reach the far bank, and sediment remains partially above the water elevation of the main stream; or (4) the tributary debris flow enters into the main stream, does not reach the far bank, and sediment is fully submerged in the main stream. This method was applied to the analysis of 11 tributary debris flow events during Typhoon Morakot, and the results indicate that the dimensionless assessment method can be used to estimate potential areas of landslide dam formation caused by tributary debris flows. Based on this method, government authorities can determine potential areas of landslide dam formation caused by debris flows and mitigate possible disasters accordingly through a properly prepared response plan, especially for early identification.

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