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Nabil A. AL-SHWAFI Abdulhakim AL-KHOLIDI Aref M. O. AL-JABALI and Nengjuan ZHOU 《世界地质(英文版)》2009,12(3):160-163
A field work has been carried out to identify the occurrence of oil and oil products pollution in mangrove sediment from Red Sea of Yemen. The concentration of total petroleum hydrocarbons is from 700 ng/g at Kamaran Island station to 400 ng/g at Al-Hodiedah station, and the total organic carbon ( TOC) in samples ranges from 0.07% at Dhubab station to 0.03% at Kamaran Island station. This pollution is as a result of localized oil pollution and /or heavy ship traffic in the Red Sea and Gulf of Aden. 相似文献
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A field work has been carried out to identify the occurrence of oil and oil products pollution in mangrove sediment from Red Sea of Yemen. The concentration of total petroleum hydrocarbons is from 700ng/g at Kamaran Island station to 400 ng/g at Al-Hodiedah station, and the total organic carbon （TOC） in samples ranges from 0. 07% at Dhubab station to 0. 03% at Kamaran Island station. This pollution is as a result of localized oil pollution and/or heavy ship traffic in the Red Sea and Gulf of Aden. 相似文献
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Magmatism at continental passive margins inferred from Ambient‐Noise Phase‐velocity in the Gulf of Aden 
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下载免费PDF全文 Félicie Korostelev Sylvie Leroy Derek Keir Cornelis Weemstra Lapo Boschi Irene Molinari Abdulhakim Ahmed Graham W. Stuart Frédérique Rolandone Khaled Khanbari Ali Al‐Lazki 《地学学报》2016,28(1):19-26
Non‐volcanic continental passive margins have traditionally been considered to be tectonically and magmatically inactive once continental breakup has occurred and seafloor spreading has commenced. We use ambient‐noise tomography to constrain Rayleigh‐wave phase‐velocity maps beneath the eastern Gulf of Aden (eastern Yemen and southern Oman). In the crust, we image low velocities beneath the Jiza‐Qamar (Yemen) and Ashawq‐Salalah (Oman) basins, likely caused by the presence of partial melt associated with magmatic plumbing systems beneath the rifted margin. Our results provide strong evidence that magma intrusion persists after breakup, modifying the composition and thermal structure of the continental margin. The coincidence between zones of crustal intrusion and steep gradients in lithospheric thinning, as well as with transform faults, suggests that magmatism post‐breakup may be driven by small‐scale convection and enhanced by edge‐driven flow at the juxtaposition of lithosphere of varying thickness and thermal age. 相似文献
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Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data 总被引：1，自引：0，他引：1
Abdulhakim Mohamed Abdi 《地理信息系统科学与遥感》2020,57(1):1-20
ABSTRACTIn recent years, the data science and remote sensing communities have started to align due to user-friendly programming tools, access to high-end consumer computing power, and the availability of free satellite data. In particular, publicly available data from the European Space Agency’s Sentinel missions have been used in various remote sensing applications. However, there is a lack of studies that utilize these data to assess the performance of machine learning algorithms in complex boreal landscapes. In this article, I compare the classification performance of four non-parametric algorithms: support vector machines (SVM), random forests (RF), extreme gradient boosting (Xgboost), and deep learning (DL). The study area chosen is a complex mixed-use landscape in south-central Sweden with eight land-cover and land-use (LCLU) classes. The satellite imagery used for the classification were multi-temporal scenes from Sentinel-2 covering spring, summer, autumn and winter conditions. Using stratified random sampling, each LCLU class was allocated 1477 samples, which were divided into training (70%) and evaluation (30%) subsets. Accuracy was assessed through metrics derived from an error matrix, but primarily overall accuracy was used in allocating algorithm hierarchy. A two-proportion Z-test was used to compare the proportions of correctly classified pixels of the algorithms and a McNemar’s chi-square test was used to compare class-wise predictions. The results show that the highest overall accuracy was produced by support vector machines (0.758 ± 0.017), closely followed by extreme gradient boosting (0.751 ± 0.017), random forests (0.739 ± 0.018), and finally deep learning (0.733 ± 0.0023). The Z-test comparison of classifiers showed that a third of algorithm pairings were statistically different. On a class-wise basis, McNemar’s test results showed that 62% of class-wise predictions were significant from one another at the 5% level or less. Variable importance metrics show that nearly half of the top twenty Sentinel-2 bands belonged to the red edge (25%) and shortwave infrared (23%) portions of the electromagnetic spectrum, and were dominated by scenes from spring (38%) and summer (40%). The results are discussed within the scope of recent studies involving machine learning and Sentinel-2 data and key knowledge gaps identified. The article concludes with recommendations for future research. 相似文献
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Monitoring drilling deviation is important for drilling of boreholes and measuring injection rock permeability by Lugeon value for safe and efficient drilling and grouting. This paper is aiming at the study drilling deviation and relationship between drilling and injection permeability at the depth of 100 m in dam of Pushi River. The results show that at different depths the deviation of grouting borehole is within the allowable range according to specifications. LU value decreases with the depth increased in general, but at the depths between 40-41 m the permeability is 1.5 LU, and at 24 m the LU value is the largest (2 LU) in this site by this study. The study thus concludes that even though the rocks are hard and their injection permeability decreases with depth increased, good drilling practices including carefully considering technical and geological specifications can get good drilling boreholes. 相似文献
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Although research on a field investigation about quantification drawdown of ground water wells has hitherto been conducted with emphasis on Sanaa basin which is 3 200 km2 in area characterized by general hazard in quantity and quality of water,there exist uncertainties about the size of the hazardous annual decline in the level of underground water.So the authors are trying to assess reliable hazard data on the depth of ground-water which were obtained by measuring static water level.The data set are twenty six wells from 9 regions which were selected to represent Sanaa basin and collected during the course of the 20 months groundwater monitoring survey from January 2008 to January 2009.The results show that the average drawdown during 20 months to be 3.22 m with an average 0.16 m per month and 2 m per year. 相似文献
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