In situ biosurfactant (rhamnolipid) production by Pseudomonas putida CB-100 was achieved during a bioaugmented and biostimulated treatment to remove hydrocarbons from aged contaminated soil from oil well drilling operations. Rhamnolipid production and contaminant removal were determined for several treatments of irradiated and non-irradiated soils: nutrient addition (nitrogen and phosphorus), P...

Traditionally, hydrocarbon-impacted soils at E&P sites have been managed based on their total petroleum hydrocarbon (TPH) content. Oil and gas industry guidance on TPH clean-up concentrations at E&P sites was not based upon risk to human health; rather, it was based on the protection of plants and water resources [API, 1993; Currier and Peoples, 1954; Udo, et al., 1975; Baker, 1970; deOng, et a...

Waqar Ashraf Department of Natural Sciences, Prince Mohammad Bin Fahad University, Al Khobar 31952, Kingdom of Saudi Arabia ([email protected]) & Atiq Mian Center for Environment & Water, King Fahad University of Petroleum & Minerals, Dhahran 31261, Kingdom of Saudi Arabia Abstract: The levels of total petroleum hydrocarbons (TPH) and lipid contents have been reported for eight commercially im...

The potential for use of alternatives to total petroleum hydrocarbons (TPH) for remediation purposes was examined specifically for JP-4 fuel. The study objective was to determine the scientific basis for use of fuel constituents other than TPH in establishing soil cleanup standards at JP-4-contaminated sites. The general bases for TPH soil cleanup standards or goals were characterized. Problems...

This work was aimed at evaluating the relative merits of bioaugmentation, biostimulation and surfactant-enhanced bioavailability of a desert soil contaminated by crude oil through biopile treatment. The results show that the desert soil required bioaugmentation and biostimulation for bioremediation of crude oil. The bioaugmented biopile system led to a total petroleum hydrocarbon (TPH) reductio...

Object detection in drone-captured images is a popular task recent years. As drones always navigate at different altitudes, the object scale varies considerably, which burdens optimization of models. Moreover, high-speed and low-altitude flight cause motion blur on densely packed objects, leads to great challenges. To solve two issues mentioned above, based YOLOv5, we add an additional predicti...