The Variation of Total Suspended Sediments Due to the Change in Sea Water Depth, Tidal Phase and Elevation of Sea Water Sample Collection in Khor Sabiya Inlet of the Arabian Gulf, Kuwait

2011 ◽  
Vol 61 ◽  
pp. 369-374 ◽  
Author(s):  
Faisal Al-Hulail ◽  
S Neelamani
Keyword(s):  
Water Sample ◽  
Water Depth ◽  
Sea Water ◽  
Arabian Gulf ◽  
Suspended Sediments ◽  
Sample Collection ◽  
Tidal Phase ◽  
Total Suspended Sediments

Nitrate, Total Ammonia, and Total Suspended Sediments Modeling for the Mobile River Watershed

2017 ◽  
Vol 8 (2) ◽  
pp. 20-31 ◽  
Author(s):  
Vladimir J. Alarcon ◽  
Gretchen F. Sassenrath
Keyword(s):  
Management Practices ◽  
Management Practice ◽  
Suspended Sediments ◽  
Quality Model ◽  
River Watershed ◽  
Stream Bank ◽  
Total Ammonia ◽  
Bank Stabilization ◽  
Sediment Model ◽  
Total Suspended Sediments

This paper presents details of a water quality model of the Mobile River watershed that estimates total suspended sediments at the outlet of the watershed. The model is capable of simulating Nitrate (NO3), Total Ammonia (TAM), and Total Suspended Sediments (TSS) for extended periods of time at a daily temporal resolution (1970-1995). The Hydrological Simulation Program Fortran is used for modeling the hydrological, nitrogenous constituents, and sediment processes. Based on the nutrient simulation and exploration of the effects of two management practices (filter strips and stream bank stabilization and fencing) on nutrient removal, the resulting sediment model is used to implement the most efficient nutrient management practice and explore its effects on TSS concentrations in the Mobile River. Results show that the implementation of the management practice “stream bank stabilization and fencing” to agricultural lands in sub-watersheds that had intense agricultural activities produced the highest reductions of NO3 concentration (up to 14.06%) and TAM concentrations (8.01%). Based on the nutrient simulation and identification of “stream bank stabilization and fencing” as the most efficient BMP for nutrient concentration reduction, the sediment model was used to explore its effects on TSS concentrations in the Mobile River. Implementing “stream bank stabilization and fencing” produced monthly median TSS concentration reductions ranging from 3.6% to 10.6% in the Mobile River.

scholarly journals Isolation of fungi using the diffusion chamber device FIND technology

2019 ◽  
Vol 15 ◽  
pp. 2191-2203 ◽  
Author(s):  
Benjamin Libor ◽  
Henrik Harms ◽  
Stefan Kehraus ◽  
Ekaterina Egereva ◽  
Max Crüsemann ◽  
...  
Keyword(s):  
Sea Water ◽  
Agar Plate ◽  
Diffusion Chamber ◽  
Growth Conditions ◽  
Bioactive Metabolites ◽  
Sample Collection ◽  
Hyphal Cell ◽  
One Step ◽  
Axenic Cultures ◽  
Isolation Device

Fungi are an important source of bioactive metabolites. The Fungal one-step IsolatioN Device (FIND) technology allows the isolation of rare fungi from terrestrial and marine samples. The FIND comprises a multi-chambered micro agar plate, where initially only one fungal part (e.g., hyphal cell, mycelial fragment or spore) is located in each chamber. After inoculation the device is placed back into the original natural environment of sample collection, to ensure favourable growth conditions. Experiments were carried out with terrestrial soil and marine sediment, as well as sea water samples to validate this method. This yielded axenic cultures of 12 different filamentous fungi, one of them being the marine-adapted fungal strain Heydenia cf. alpina. The latter produced two new terpenoids, which are the first secondary metabolites from this genus.

scholarly journals SHALLOW BATHYMETRY ESTIMATION BASED ON LANDSAT 8 REMOTELY SENSED DATAAT BOHAI SEA

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 941-943
Author(s):  
D. J. Zhang ◽  
J. Zhan ◽  
C. X. Wang ◽  
G. Q. Zhou
Keyword(s):  
Water Depth ◽  
Bohai Sea ◽  
Sea Water ◽  
Absolute Error ◽  
Inversion Method ◽  
Band Model ◽  
Landsat 8 ◽  
Ocean Monitoring ◽  
The Relationship ◽  
Monitoring And Measurement

Abstract. Bathymetry is a key variable in ocean monitoring and measurement research. It becomes more and more important for development of rapid method to invert shallow sea water depth. In this study, a water depth inversion method based on multi-band model is established to analyze the relationship between different bands of Landsat 8 OLI multi-spectral and measured data. The average absolute error of the model is 1.48m at 10–20m water depth and the average relative error is 13.12%. The water depth inversion accuracy under normal conditions are achieved, indicating that the model will have a promising practical application in the future.

scholarly journals Macrobenthic Composition of Sea Water Associated with Seagrass in East and West Portions of the Igang Bay, Nueva Valencia, Guimaras

2012 ◽  
Vol 7 (1) ◽  
Author(s):  
Mary Jean L. De La Cruz ◽  
June Raymund Peter Flores ◽  
Melchor M. Magramo ◽  
Christy Madas ◽  
Marlon Terunez
Keyword(s):  
Water Depth ◽  
Hermit Crab ◽  
Soft Coral ◽  
Sea Water ◽  
Hard Coral ◽  
Seagrass Community ◽  
East And West

The macrobenthic invertebrates are associated with seagrass communities in East and West at the Igang Bay, Nueva Valencia, Guimaras. Seven groups were found in West Igang which includes the hard coral, gastropod, bivalve, soft coral, starfish, limpet, hermit crab and cowrie while eight groups composed of bivalve, gastropod, snail, cowrie, hard coral, hermit crab and sponge were found in the seagrass community of East Igang. Results show that gastropod was the dominating group in both sites. The hard coral group was the most frequent to occur in West Igang while the gastropod in East Igang was frequently observed. Common groups in both sites were hard coral, gastropod, bivalve, and cowrie. West Igang had higher diversity of macrobenthos (H’ = 0.608) than the East Igang with (H’ = 0.513). Both sites have sandy, silty-muddy type of substrates although some portions of West Igang were rocky. Salinity ranged from 28 to 30 parts per thousand and temperature from 20.67 to 32.67 degrees Celsius. Water depth recorded ranged from 0.43 to 0.60 meters. The higher variability of substrates in West Igang probably promoted the higher diversity of macrobenthic groups in the area suitable for different attachments and mobility along with denser growth of seagrass in the said site. Keywords - Seagrass, Igang Bay, Macrobenthic invertebrates, hard corals, gastropod, bivalve

scholarly journals Comparative study on the corrosion behavior of mild steel in effluents, sea and fresh water

2020 ◽  
Vol 12 (1) ◽  
pp. 280-284
Author(s):  
Naja’atu Auwal Usman ◽  
Usman Muhammad Tukur ◽  
Bishir Usman
Keyword(s):  
Weight Loss ◽  
Corrosion Rate ◽  
Mild Steel ◽  
Water Sample ◽  
Fresh Water ◽  
Immersion Time ◽  
Sea Water ◽  
Oxygen Demand ◽  
Chloride Ion ◽  
X Rays

The corrosion rate of mild steel behavior exposed to effluents (EF), sea water (SW) and fresh water (FW) were study using weight loss, scanning electron spectroscopy (SEM) and x-rays diffraction (XRD). The results show that the weight loss of mild steel in different water samples increases with increasing in immersion time and temperature respectively. The corrosion rate of water was found to be higher in sea water (0.003g cm2 week-2), effluents (0.021g cm-2 week-2) and fresh water (0.020g cm-2 week-2) respectively. The corrosion rate and behaviour of mild steel in the water sample were affected by some physical and chemical parameters such as pH, turbidity, conductivity and biological oxygen demand (BOD). Effluents (EF) were found to have pH (5.20), turbidity (13.3nut), conductivity (4203µs/cm) and BOD (0.119mg/dm3). Sea water (SW) were found to have pH (7.60), turbidity (173nut), conductivity (30800µs/cm) and BOD (0.028mg/dm3). Fresh water (FW) were found to have pH (7.60), turbidity (127nut), conductivity (419µs/cm) and BOD (0.651mg/dm3). Similarly, the presences of elements such as chloride ion (Cl-), Fe, Ba, Br, S, La, Nb and Mo from XRF confirm that the corrosion rate is higher in sea water. SEM microgram revealed that corrosion rates of EF, SW and FW were of different nature, both the samples have rough surface with various cracks after immersion. This clearly shows that the sea water has the highest corrosion products follow by effluent than fresh water sample. Both the weight loss and corrosion rate increases as the immersion time and temperature increases. Keywords: Corrosion rate, Mild steel, Weight loss, AAS, SEM, XRF, Immersion Time, Temperature  

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