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1.
The atmospheric heat sources of large plateaus strongly influence the general circulation particularly in the summer season. The Bolivian plateau and the adjacent areas affect the upper tropospheric flow in a typical summer month by developing an anticyclone and deflecting the prevailing westerlies. The plateau initially warms the atmosphere through sensible heating and then through latent heating as thunderstorms develop.The atmospheric heat source over the Bolivian and adjacent plateau was computed employing conventional surface and satellite radiation data for the mean January 1979. Because of a lack of direct ground temperature data, the surface radiation was estimated following an empirical formula devised for some earlier Tibetan studies.The results revealed that the latent heating developing in the eastern and northeastern part of the plateau is the biggest contributor to the atmospheric heat source (500 W m-2). A comparison of these results against similar recent results from Tibet showed that the atmospheric heat source in South America is stronger than that over Tibet, primarily because of increased rainfall over Bolivia. 相似文献
2.
A series of tests were conducted to investigate the improvement of damping properties of clay samples with geosynthetic inclusions.
Flexible thermoplastic polymer synthetics improve damping properties of clay samples. Resonant column tests were conducted
to measure the low strain shear modulus and damping ratio of laboratory prepared synthetic inclusion clay specimens. The shear
modulus and damping ratio of the reinforced clay samples were investigated considering geosynthetic type (geotextile and geomembrane),
number of geosynthetic sheets, and confining pressure. The test results demonstrated that the geomembrane and the number of
geosynthetic sheets significantly improved the shear modulus and damping ratio of reinforced clay samples compared with those
of the unreinforced clay samples. 相似文献
3.
Zeynep Akbulut Samed Özdemir Hayrettin Acar Fevzi Karsli 《Journal of the Indian Society of Remote Sensing》2018,46(12):2057-2068
Automatic building extraction is an important topic for many applications such as urban planning, disaster management, 3D building modeling and updating GIS databases. Its approaches mainly depend on two data sources: light detection and ranging (LiDAR) point cloud and aerial imagery both of which have advantages and disadvantages of their own. In this study, in order to benefit from the advantages of each data sources, LiDAR and image data combined together. And then, the building boundaries were extracted with the automated active contour algorithm implemented in MATLAB. Active contour algorithm uses initial contour positions to segment an object in the image. Initial contour positions were detected without user interaction by a series of image enhancements, band ratio and morphological operations. Four test areas with varying building and background levels of detail were selected from ISPRS’s benchmark Vaihingen and Istanbul datasets. Vegetation and shadows were removed from all the datasets by band ratio to improve segmentation quality. Subsequently, LiDAR point cloud data was converted to raster format and added to the aerial imagery as an extra band. Resulting merged image and initial contour positions were given to the active contour algorithm to extract building boundaries. In order to compare the contribution of LiDAR to the proposed method, the boundaries of the buildings were extracted from the input image before and after adding LiDAR data to the image as a layer. Finally extracted building boundaries were smoothed by the Awrangjeb (Int J Remote Sen 37(3): 551–579. https://doi.org/10.1080/01431161.2015.1131868, 2016) boundary regularization algorithm. Correctness (Corr), completeness (Comp) and accuracy (Q) metrics were used to assess accuracy of segmented building boundaries by comparing extracted building boundaries with manually digitized building boundaries. Proposed approach shows the promising results with over 93% correctness, 92% completeness and 89% quality. 相似文献
4.
Adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) models have been extensively used to predict
different soil properties in geotechnical applications. In this study, it was aimed to develop ANFIS and ANN models to predict
the unconfined compressive strength (UCS) of compacted soils. For this purpose, 84 soil samples with different grain-size
distribution compacted at optimum water content were subjected to the unconfined compressive tests to determine their UCS
values. Many of the test results (for 64 samples) were used to train the ANFIS and the ANN models, and the rest of the experimental
results (for 20 samples) were used to predict the UCS of compacted samples. To train these models, the clay content, fine
silt content, coarse silt content, fine sand content, middle sand content, coarse sand content, and gravel content of the
total soil mass were used as input data for these models. The UCS values of compacted soils were output data in these models.
The ANFIS model results were compared with those of the ANN model and it was seen that the ANFIS model results were very encouraging.
Consequently, the results of this study have important findings indicating reliable and simple prediction tools for the UCS
of compacted soils. 相似文献
5.
In order to characterize the seasonal, bathymetric, and spatial distribution of the species, Palaemon adspersus, Palaemon elegans, and Crangon crangon, shrimps were sampled with a beam trawl in four stations at depths between 1 and 30 m from February 2002 to January 2004 on the Sinop Peninsula coasts of the southern Black Sea. One-way analysis of similarity (ANOSIM) results demonstrated that the caridean composition was significantly different (p < 0.001) between seasons and between sampling areas. No significant relationship of the caridean composition was evident between depth zones ranging from 1 to 30 m. These three carideans occurred together in 28.5% of the sampling occasions. Different seasonal migration pattern was evident for all the three species. Palaemon adspersus migrated inshore during relatively higher water temperatures, whereas C. crangon density decreased in the shallow waters during the same period, and P. elegans population was mostly observed at depth zones of 5–10 m and was only observed in the 30 m depth zone in winter. The abiotic factors that characterize the coexistence of these three carideans were primarily determined by the habitat types and bottom structures. 相似文献
6.
Conditional simulation of USLE/RUSLE soil erodibility factor by geostatistics in a Mediterranean Catchment,Turkey 总被引：4，自引：4，他引：0
Oguz Baskan Hicrettin Cebel Suat Akgul Gunay Erpul 《Environmental Earth Sciences》2010,60(6):1179-1187
Soil erosion is a major environmental problem that threatens the sustainability and productivity of agricultural areas. Assessment
and mapping of soil erosion are extremely important in the management and conservation of natural resources. The universal
soil loss equation (USLE/RUSLE) is an erosion model that predicts soil loss as a function of soil erodibility (K-factor), as well as topographic, rainfall, cover, and management factors. The traditional approach assumes that one soil
erodibility value represents the entire area of each soil series. Therefore, that approach does not account for spatial variability
of soil series. This study was carried out to evaluate the use of the sequential Gaussian simulation (SGS) for mapping soil
erodibility factor of the USLE/RUSLE methodology. Five hundred and forty-four surface soil samples (0–20 cm) were collected
from the study area to determine the soil erodibility. A simulation procedure was carried out on 300 realizations, and histogram
and semivariogram of the simulation were compared to the observed values. The results showed that the summary statistics,
histogram, and semivariogram of the simulation results were close to the observed values. In contrary to the traditional approach
and kriging, 95% confidence interval of the simulated realizations was formed in order to determine uncertainty standard deviation
map, and the uncertainty was explained numerically. The SGS produced a more reliable soil erodibility map and it can be more
successfully used for monitoring and improving effective strategies to prevent erosion hazards especially to improve site
specific management plans. 相似文献
7.
Data generation for shear modulus and damping ratio in reinforced sands using adaptive neuro-fuzzy inference system 总被引：2，自引：0，他引：2
Suat Akbulut A. Samet Hasiloglu Sibel Pamukcu 《Soil Dynamics and Earthquake Engineering》2004,24(11):805-814
Neuro-fuzzy inference systems have been used in many areas in civil engineering applications. This study was conducted to estimate low strain dynamic properties of composite media from easily measurable physical properties using the adaptive neuro-fuzzy inference system (ANFIS). The inference system was employed to predict the shear modulus and the damping coefficient of the sand samples as an alternative to lengthy laboratory testing. ANFIS was trained using low strain dynamic test results of samples of sand reinforced with particulate rubber inclusions from a resonant column device. The training was performed with an improved hybrid method, which was found to deliver better results than classical back-propagation method such as multi-layer perceptron (MLP) and multiple regression analysis method (MRM). Using the new approach, the optimal precise value of a parameter could be estimated within the constraints of the experimental design. The ANFIS model has appeared very effective in modeling complex soil properties such as shear modulus and damping coefficient, and performs better than MLP and MRM. 相似文献
8.
Nuray Akbulut 《洁净——土壤、空气、水》2004,32(6):434-441
In this study totally 25 rotifer species, 3 cladocerus species, and 2 copepoda species were identified in Ova Stream. Among zooplankton rotifer species were dominant. Population densities of planktonic organisms were calculated as individual per cubic meter and the relationship of the planktonic organisms with physicochemical parameters was determined applying canonical correspondence analysis (CCA). Also diversity index has been calculated according to the sampling stations. According to the results, the diversity index changes between stations and sampling time. The CCA results show that the rotifer species Keratella, Notholca showed negative correlation with the increasing chemical parameters and temperature but Brachionus, Mytilina, Colurella, and Testudinella have positive correlation with increasing temperature. 相似文献
9.
The coastal water quality of Çanakkale Dardanelles (Turkey) was assessed based on bacteriological data and physical–chemical parameters. Total coliform (TC), fecal coliform (FC), and enterococci (ENT) bacteria along with physicochemical parameters were measured monthly up to a year at 12 different sampling sites located through both coastal lines of the strait. The fecal bacteria were abounded at several sampling sites such as B1, B3, G3, and G4 due to direct wastewater discharges and septic leakages or overloading. Storm water runoff and sediment resuspension were important pathways for the transport of coliform and ENT bacteria to the Dardanelles, as the region receives high precipitation and strong winds for most part of the year. The values of pH, temperature, and salinity were in typical ranges for the studied area. The microbiological and physicochemical data were correlated individually and in combination. The best fit correlations for bacterial data were attained between TC and FC or TC and ENT (R = 0.67 or ?0.68), while those for the combined data were obtained for TC with temperature (R = 0.94) and TC with salinity (R = ? 0.70). 相似文献
10.
The aim of this study was to investigate spatiotemporal variations in groundwater heavy-metal concentrations at the Karaduvar agricultural-industrial district (Mersin, SE Turkey), where parts of the underlying coastal aquifer has been polluted by petroleum hydrocarbons (PHCs) from diverse sources. The water chemistry data for the present study is comprised of 275 samples collected during 2006–2010 from 55 water-supply wells. The samples were analyzed in situ for physical parameters (EC, DO, pH, and temperature) and in the laboratory for As, Cd, Co, Cr, Cu, Fe, Mn, Mo, Ni, Pb and Zn using the ICP-MS method. Box–whisker plots and principal components analysis (PCA) method were employed to determine the seasonal changes occurring in heavy-metal concentrations and to identify source apportionment of pollution parameters in groundwater. During the monitoring period, in many wells, heavy-metal concentrations (except for Cd) exceeded the limit values set by Turkish Water Pollution Control Directive (No: 25687). Results from the PCA suggest that elevated Mn, Fe, Co, Ni and As concentrations may be linked to oxidation–reduction of geogenic Mn/Fe oxyhydroxides in PHC-contaminated parts. The high concentrations of Cu, Mo and probably Cd in background areas result from the agricultural and petrochemical activities conducted in the recent past. At the site, high Pb and Zn concentrations are probably related to agricultural activities in PHC-contaminated areas, whereas Cr can be solely attributed to lithogenic sources. At the Karaduvar site, heavy-metal pollution in groundwater is found to be much more persistent than PHC contamination. 相似文献