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Geomagnetism and Aeronomy - The total electron content (TEC) data obtained from the ground-based GPS receiver stations of the Nigerian GNSS network of stations (NIGNET) have been used in this study...  相似文献   
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The northeastern Gulf of Mexico contains some of the most diverse and productive marine habitat in the United States. Much of this habitat, located on the shelf edge in depths of 50 to 120 m, supports spawning for many economically important species, including groupers. Here, we couple acoustic surveys with georeferenced videography to describe the primary spatial and geologic features of spawning aggregation sites for four economically important species: gag (Mycteroperca microlepis), scamp (M. phenax), red grouper (Epinephelus morio), and red snapper (Lutjanus campechanus), with notes on fish distribution and abundance and spawning activities. We provide information on movement patterns of reef fish determined using acoustic telemetry. Finally, we discuss the possible coupling of geomorphology with hydrographic features to influence the overall productivity of the region and the importance of spatial fishery management in sustaining that productivity.  相似文献   
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Geological structures are 3-Dimensional (3D) in nature, thus 1-Dimensional and 2-Dimensional surveys cannot adequately model them. However, sophisticated 3D survey equipment are very expensive. In this study, a singlechannel ABEM SAS 300B Terrameter was used to obtain 3D models of the subsurface. This survey was carried out at three different locations within Abeokuta, a basement complex terrain of southwestern Nigeria. The area falls within longitudes 3.35° and 3.38° East and latitudes 7.22° and 7.46° North respectively, with coordinates of 2550.0 m North and 1724.2 m East. A manual 4-electrode system was used in the Electrical Resistivity Tomography survey at the three locations. Each location was marked into 7 by 7 square grids with 1 m, 3 m and 5 m unit electrode spacings in succession. The pole-pole array was used with the two remote electrodes placed at distances of 23 m, 40 m and 65 m from the grids of 1 m, 3 m and 5 m unit electrode spacings respectively, to reduce their telluric effects on the measured apparent resistivity values. To reduce survey time consumption, the cross-diagonal survey method was adopted. The data obtained were analysed using a 3D inversion software called RES3DINV and 3-Dimensional models of the subsurface were also generated using Slicer Dicer graphics software. The study revealed layers extending to depths of 7.75 m, 23.2 m and 38.7 m for unit electrode spacings of 1 m, 3 m and 5 m respectively. It revealed resistivity values ranging from 7.3 Ωm to 300 Ωm for electrode spacing of 1.0 m; 13.8 Ωm to 200 Ωm for electrode spacing of 3 m and 3.9 Ωm to 200 Ωm for electrode spacing of 5 m at the first location. At the second location, it revealed resistivity values ranging from 0.53 Ωm to 120.0 Ωm for electrode spacing of 3 m and 0.30 Ωm to 100 Ωm for electrode spacing of 5 m. For electrode spacings of 1 m, 3 m and 5 m, resistivity values ranging from 6.1 Ωm to 600 Ωm, 12 Ωm to 600 Ωm and 0.85 Ωm to 1700 Ωm were obtained respectively at the third location. Generally, this study revealed lithologies composed of lateritic soil, sand, sandstone, sandyclay, clayeysand, weathered rock, fractured rock, clay and fresh basement; to a depth of about 39 m. Also, location 3 was discovered to have good groundwater prospects; though not as good as for locations 1 and 2.  相似文献   
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Local studies aimed at assessing the impact of climate variability on crop yield at the individual farm level require the use of weather and climate data. These are often collected at points known as meteorological stations. In West Africa, meteorological stations are sparsely distributed and as a result, are often unable to satisfy the data requirements for such studies. One major problem arising from this is how to estimate values for locations where primary data is not available. General Circulation Models (GCMs) have recently been deployed for weather forecasting and climate change projections but the resolution of their outputs is low requiring downscaling. This article describes a GIS‐based procedure for downscaling GCMs’ outputs for use in studies assessing the impacts of climate variability on crop yield at the farm level. The procedure is implemented with the Hadley Centre's GCM (HadCM2) data, although any other GCM can be used. Results in this study show that the model works best when representing drier months as compared to wet months in all three domains tested. For example, it estimated the rainfall for January (the driest month) better than that of July which is the peak of the rainy season in West Africa. There is also a north‐south pattern influencing the accuracy of estimated rainfall distribution, with stations in the south better represented than those in the north. For the greater part of West Africa where similar climatic conditions persist as in Nigeria, this procedure can be considered suitable for interpolation and downscaling.  相似文献   
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Locations and depths to magnetic contacts were estimated from the total intensity magnetic field using the Horizontal Gradient Magnitude (HGM), Analytic Signal Amplitude (ASA) and Local Wavenumber (LWN) methods. Aeromagnetic data from the Ibadan area, in south-western Nigeria, were analyzed to estimate depths to magnetic sources as well as source locations. The minimum/maximum depth limits of the HGM and LWN are relatively close and comparable, while shallow source depths limits are greater than expected in the ASA method when compared with the HGM and LWN functions.  相似文献   
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This paper characterizes droughts in Romania using the approach of both the standardized precipitation index (SPI) and climatic water deficit (WD). The values of the main climatic factors (rainfall, temperature, reference evapotranspiration, etc.) were obtained from 192 weather stations in various regions of Romania. Penman–Monteith reference evapotranspiration (ETo-PM) was used to calculate WD as the difference between precipitation (P) and ETo-PM. SPI was calculated from precipitation values. There is a clear difference between drought and aridity. Drought occurrence determines higher WD values for plains and plateaus and lower climatic excess water (EW) values for high mountains in Romania, depending on the aridity of the specific region considered and drought severity. WD calculated as mean values for both normal conditions and, for all locations studied, various types of drought was correlated with mean annual precipitation and temperature, respectively. The combined approach of WD and SPI was mainly carried out for periods of 1 year, but such studies could also be done for shorter periods like months, quarters, or growing season. The most arid regions did not necessarily coincide with areas of the most severe drought, as there were no correlations between WD and SPI and no altitude-based SPI zones around the Carpathian Mountains, as is the case for other climate characteristics, soils and vegetation. Water resource problems arise where both SPI values characterize extremely droughty periods and WD values are greatly below ?200 mm/year. This combined use of SPI and WD characterizes the dryness of a region better than one factor alone and should be used for better management of water in agriculture in Romania and also other countries with similar climate characteristics.  相似文献   
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