The Experts below are selected from a list of 6672 Experts worldwide ranked by ideXlab platform
Xuewen Li - One of the best experts on this subject based on the ideXlab platform.
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investigation of residual fluoroquinolones in a soil vegetable system in an intensive vegetable Cultivation Area in northern china
Science of The Total Environment, 2014Co-Authors: Xuewen Li, Canglin Li, Huinan Zhao, Hui Zhao, Ning Wang, Jinfeng WangAbstract:One of the largest vegetable Cultivation field sites in Northeast China was selected to investigate the occurrence and distribution pattern of fluoroquinolones (FQs) in the soil-vegetable system. A total of 100 surface soil samples and 68 vegetable samples were collected from this study Area. The antibiotic concentration was analyzed using high-performance liquid chromatography tandem mass spectrometry. Results indicated the presence of FQs in all soil samples. Ciprofloxacin (CIP) had the highest mean concentration, at 104.4 mu g.kg(-1) in the soil, a level that represents a relatively high risk to the environment and to human health. However, in the vegetable samples, norfloxacin (NOR) was significantly higher than CIP and enrofloxacin (ENR), ranging from 18.2 to 6583 mu g.kg(-1). The transfer ability of NOR in soil-vegetables is greater than that of CIP and ENR. Moreover, we found that the solanaceous fruits had a higher antibiotic accumulation ability than the leafy vegetables. Taken together, these data indicate that greater attention should be paid to the region in which vegetables with higher accumulation ability are grown. (C) 2013 Elsevier B.V. All rights reserved.
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influence of planting patterns on fluoroquinolone residues in the soil of an intensive vegetable Cultivation Area in northern china
Science of The Total Environment, 2013Co-Authors: Xuewen Li, Jinfeng Wang, George Christakos, Huinan Zhao, Jiliang Si, Yanqiang Ding, Jie LiAbstract:Recent studies have demonstrated the persistence of antibiotics in soil, especially in Areas of vegetable Cultivation. However, there are very few studies of the influence of planting regimes on the levels of antibiotic pollution. This work introduces geographical-detector models to investigate the relationship between planting patterns (vegetable planting model, manure type and quantity, planting age, greenhouse Area, and topographic elevation) and residual fluoroquinolones (FQs) in soil in a pilot project in Shouguang County, Shandong Province (the largest vegetable-producing Area in China). The results led to the following findings. 1. The vegetable planting model is the major determinant of the spatial stratification of FQ in the soil. For example, the "cucumber-cucumber" model (growing cucumbers after cucumbers) has a three-fold power of determinant compared to the "pepper-melon" model (growing melons after peppers). 2. Planting age (years with continuous vegetable Cultivation) does not necessarily affect the spatial distribution of FQ owing to their relatively short degradation period. 3. Interactions between risk factors were more significant than the individual factors for FQ pollution. In particular, the interaction between the vegetable planting model and amount of manure resulted in the highest pollution level. The findings of the present study make it possible to introduce effective and practical measures to alleviate pollution of soils by FQ in the study Area. Adjustment of the vegetable Cultivation models and application of chicken manure (less than 6kg/m2 manure annually with a more dry than fresh manure) could be an effective and flexible approach to alleviate FQ pollution. The vegetable planting model is the major determinant of FQ difference in soil. Planting age could not result in spatial pollution differences. Interactions between risk factors should be given more concern. 2013 Elsevier B.V.
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spatial estimation of antibiotic residues in surface soils in a typical intensive vegetable Cultivation Area in china
Science of The Total Environment, 2012Co-Authors: Xuewen Li, Jinfeng Wang, George Christakos, Maogui Hu, Lihong An, Fasheng LiAbstract:Antibiotic residues in surface soils can lead to serious health risks and ecological hazards. Spatial mean concentration of antibiotic residues in the soil is the most important indicator of a region's environmental risk to antibiotic residues. Considerable estimation error would lead to an inefficient strategy of pollution control that happens when sample size is small and the estimation model does not match the spatial features of the object to be surveyed. On the basis of the available datasets, it was found that the distribution of antibiotics residue in soil follows a spatial stratification pattern. Accordingly, we used a new spatial estimation method called Mean of Surface with Non-homogeneity (MSN) to estimate antibiotic concentrations in surface soil of the Shandong Province, an important vegetable growing region in China. The standard error of the mean estimates obtained by MSN was significantly smaller (by about 1.02-6.82 g/kg) than the estimation errors produced by three mainstream methods, simple arithmetic estimation (2.9-11.8 g/kg), stratified estimation (2.5-10.6 g/kg) and ordinary kriging estimation (2.2-8.2 g/kg). 2012 Elsevier B.V.
Jinfeng Wang - One of the best experts on this subject based on the ideXlab platform.
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investigation of residual fluoroquinolones in a soil vegetable system in an intensive vegetable Cultivation Area in northern china
Science of The Total Environment, 2014Co-Authors: Xuewen Li, Canglin Li, Huinan Zhao, Hui Zhao, Ning Wang, Jinfeng WangAbstract:One of the largest vegetable Cultivation field sites in Northeast China was selected to investigate the occurrence and distribution pattern of fluoroquinolones (FQs) in the soil-vegetable system. A total of 100 surface soil samples and 68 vegetable samples were collected from this study Area. The antibiotic concentration was analyzed using high-performance liquid chromatography tandem mass spectrometry. Results indicated the presence of FQs in all soil samples. Ciprofloxacin (CIP) had the highest mean concentration, at 104.4 mu g.kg(-1) in the soil, a level that represents a relatively high risk to the environment and to human health. However, in the vegetable samples, norfloxacin (NOR) was significantly higher than CIP and enrofloxacin (ENR), ranging from 18.2 to 6583 mu g.kg(-1). The transfer ability of NOR in soil-vegetables is greater than that of CIP and ENR. Moreover, we found that the solanaceous fruits had a higher antibiotic accumulation ability than the leafy vegetables. Taken together, these data indicate that greater attention should be paid to the region in which vegetables with higher accumulation ability are grown. (C) 2013 Elsevier B.V. All rights reserved.
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influence of planting patterns on fluoroquinolone residues in the soil of an intensive vegetable Cultivation Area in northern china
Science of The Total Environment, 2013Co-Authors: Xuewen Li, Jinfeng Wang, George Christakos, Huinan Zhao, Jiliang Si, Yanqiang Ding, Jie LiAbstract:Recent studies have demonstrated the persistence of antibiotics in soil, especially in Areas of vegetable Cultivation. However, there are very few studies of the influence of planting regimes on the levels of antibiotic pollution. This work introduces geographical-detector models to investigate the relationship between planting patterns (vegetable planting model, manure type and quantity, planting age, greenhouse Area, and topographic elevation) and residual fluoroquinolones (FQs) in soil in a pilot project in Shouguang County, Shandong Province (the largest vegetable-producing Area in China). The results led to the following findings. 1. The vegetable planting model is the major determinant of the spatial stratification of FQ in the soil. For example, the "cucumber-cucumber" model (growing cucumbers after cucumbers) has a three-fold power of determinant compared to the "pepper-melon" model (growing melons after peppers). 2. Planting age (years with continuous vegetable Cultivation) does not necessarily affect the spatial distribution of FQ owing to their relatively short degradation period. 3. Interactions between risk factors were more significant than the individual factors for FQ pollution. In particular, the interaction between the vegetable planting model and amount of manure resulted in the highest pollution level. The findings of the present study make it possible to introduce effective and practical measures to alleviate pollution of soils by FQ in the study Area. Adjustment of the vegetable Cultivation models and application of chicken manure (less than 6kg/m2 manure annually with a more dry than fresh manure) could be an effective and flexible approach to alleviate FQ pollution. The vegetable planting model is the major determinant of FQ difference in soil. Planting age could not result in spatial pollution differences. Interactions between risk factors should be given more concern. 2013 Elsevier B.V.
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spatial estimation of antibiotic residues in surface soils in a typical intensive vegetable Cultivation Area in china
Science of The Total Environment, 2012Co-Authors: Xuewen Li, Jinfeng Wang, George Christakos, Maogui Hu, Lihong An, Fasheng LiAbstract:Antibiotic residues in surface soils can lead to serious health risks and ecological hazards. Spatial mean concentration of antibiotic residues in the soil is the most important indicator of a region's environmental risk to antibiotic residues. Considerable estimation error would lead to an inefficient strategy of pollution control that happens when sample size is small and the estimation model does not match the spatial features of the object to be surveyed. On the basis of the available datasets, it was found that the distribution of antibiotics residue in soil follows a spatial stratification pattern. Accordingly, we used a new spatial estimation method called Mean of Surface with Non-homogeneity (MSN) to estimate antibiotic concentrations in surface soil of the Shandong Province, an important vegetable growing region in China. The standard error of the mean estimates obtained by MSN was significantly smaller (by about 1.02-6.82 g/kg) than the estimation errors produced by three mainstream methods, simple arithmetic estimation (2.9-11.8 g/kg), stratified estimation (2.5-10.6 g/kg) and ordinary kriging estimation (2.2-8.2 g/kg). 2012 Elsevier B.V.
Kazuo Ouchi - One of the best experts on this subject based on the ideXlab platform.
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Extraction of Laver Cultivation Area Using SAR Dual Polarization Data
2020Co-Authors: Mitsunobu Sugimoto, Kazuo OuchiAbstract:In this study, we examine the techniques of extracting laver Cultivation Area using various parameters that can be calculated by synthetic aperture radar (SAR) dual polarization data, in order to detect the target Area more efiectively and decide suitable methods within the limitation of available polarization. Eigenvalue analysis and coherence analysis are one of the methods that can efiectively utilize dual polarization data. Comparison was made using parameters derived from those methods, and experimental results showed that the parameters utilizing dual polarization data showed better performance than single polarization data.
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Comprehensive contrast comparison of laver Cultivation Area extraction using parameters derived from polarimetric synthetic aperture radar data
Journal of Applied Remote Sensing, 2013Co-Authors: Mitsunobu Sugimoto, Kazuo Ouchi, Yasuhiro NakamuraAbstract:Image contrast between extracted laver Cultivation Area and background water was extensively compared using various parameters that can be calculated by dual- and quad-polarization (fully polarimetric) synthetic aperture radar data. Each parameter derived from Pauli decomposition, eigenvalue analysis, coherence analysis, and four-component scattering power decomposition (4-CSPD) has distinctive characteristics and react to different backscatterers differently. Contrast comparison was made using these parameters using the L-band quad-polarization data acquired by phased-array L-band synthetic aperture radar (PALSAR) on board advanced land observing satellite (ALOS) and the X-band dual-polarization data acquired by TerraSAR-X, and experimental results showed that the contrast can be improved using multi-polarization data than using single-polarization data. It has also been found that entropy performs better among dual-polarization methods, and the surface scattering component calculated from 4-CSPD exhibits higher contrast than any other parameters from quad-polarization data.
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Extraction of Underwater Laver Cultivation Nets by SAR Polarimetric Entropy
IEEE Geoscience and Remote Sensing Letters, 2013Co-Authors: Kazuo Ouchi, Chan-su YangAbstract:This letter describes a technique of extracting and estimating the underwater laver Cultivation nets by using the entropy analysis of polarimetric synthetic aperture radar (PolSAR) data. The Cultivation nets are placed at 10-20 cm below the sea surface, so that the Bragg waves responsible for L-band radar backscatter do not fully develop in this Area of effectively shallow water. Consequently, the surface becomes smooth, and the backscatter radar cross section (RCS) becomes small in comparison with that from deep water without Cultivation nets. If RCS from the Cultivation Area is at the system noise level, the image can be considered as arising from a random process, and the polarimetric entropy should be higher than the open sea Area where the radar backscatter is dominated by the single-bounce surface scattering process. We will show that, using the data acquired by Phased Array L-band SAR onboard the Advanced Land Observing Satellite over the Tokyo Bay, Japan, the polarimetric entropy is an effective means of extracting underwater Cultivation Areas in comparison with the amplitude images. The Area of the laver Cultivation is then estimated by applying a constant false alarm rate to the entropy images to yield good agreement with the ground-truth data.
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Comparison of contrast improvement of extracted laver Cultivation Area using parameters derived from polarimetric SAR data
Remote Sensing of the Marine Environment II, 2012Co-Authors: Mitsunobu Sugimoto, Kazuo Ouchi, Yasuhiro NakamuraAbstract:In this study, image contrast between extracted laver Cultivation Area and background water was extensively compared using various parameters that can be calculated by dual- and quad-polarization (fully-polarimetric) synthetic aperture radar (POLSAR) data. In our test site of laver Cultivation in Tokyo Bay, every year starting from October, laver Cultivation nets are placed at approximately 10-20 cm below the sea surface with supporting floats with laver spores attached to the nets, grow during winter, and the grown laver is harvested in next April. Through this process, the nets are sometimes placed above the sea surface to promote photosynthesis. When the nets are placed underwater, the Areas become effectively shallow water, and small-scale waves, that are the principal scatterers, are damped, resulting in reduced radar backscatter. This difference from surrounding water can appear in SAR data. Each parameter derived from Pauli decomposition, eigenvalue analysis, coherence analysis, and four-component scattering power decomposition (4-CSPD) has distinctive characteristics and react to different backscatterers differently. Contrast comparison was made using those parameters using the L-band quad-polarization data acquired by Phased-Array L-band SAR (PALSAR) on board Advanced Land Observing Satellite (ALOS) and the X-band dual-polarization data acquired by TerraSAR-X, and experimental results showed that the contrast can be improved using multi-polarization data than using single-polarization data. It has also been found that entropy performs better among dual-polarization methods, and the surface scattering component calculated from 4-CSPD exhibits higher contrast than any other parameters from quad-polarization data.
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A novel method to estimate underwater marine Cultivation Area by using SAR polarimetric entropy
2011 IEEE International Geoscience and Remote Sensing Symposium, 2011Co-Authors: Kazuo OuchiAbstract:This paper describes a technique of extracting underwater laver Cultivation nets by using entropy analysis from ALOS-PALSAR polarimetric data in the Tokyo bay. Due to smooth sea surface over the shallow underwater nets, the radar backscatter cross section (RCS) is small (almost noise level) compared with the surface without the nets. This difference can be detected by the X-band TerraSAR-X, but for PALSAR, the difference is too small to detect since both the surfaces are effectively smooth for L-band microwave. We show that polarimetric entropy is an effective means of identifying the underwater nets from the L-band PALSAR data in comparison with the amplitude image.
Fasheng Li - One of the best experts on this subject based on the ideXlab platform.
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spatial estimation of antibiotic residues in surface soils in a typical intensive vegetable Cultivation Area in china
Science of The Total Environment, 2012Co-Authors: Xuewen Li, Jinfeng Wang, George Christakos, Maogui Hu, Lihong An, Fasheng LiAbstract:Antibiotic residues in surface soils can lead to serious health risks and ecological hazards. Spatial mean concentration of antibiotic residues in the soil is the most important indicator of a region's environmental risk to antibiotic residues. Considerable estimation error would lead to an inefficient strategy of pollution control that happens when sample size is small and the estimation model does not match the spatial features of the object to be surveyed. On the basis of the available datasets, it was found that the distribution of antibiotics residue in soil follows a spatial stratification pattern. Accordingly, we used a new spatial estimation method called Mean of Surface with Non-homogeneity (MSN) to estimate antibiotic concentrations in surface soil of the Shandong Province, an important vegetable growing region in China. The standard error of the mean estimates obtained by MSN was significantly smaller (by about 1.02-6.82 g/kg) than the estimation errors produced by three mainstream methods, simple arithmetic estimation (2.9-11.8 g/kg), stratified estimation (2.5-10.6 g/kg) and ordinary kriging estimation (2.2-8.2 g/kg). 2012 Elsevier B.V.
George Christakos - One of the best experts on this subject based on the ideXlab platform.
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influence of planting patterns on fluoroquinolone residues in the soil of an intensive vegetable Cultivation Area in northern china
Science of The Total Environment, 2013Co-Authors: Xuewen Li, Jinfeng Wang, George Christakos, Huinan Zhao, Jiliang Si, Yanqiang Ding, Jie LiAbstract:Recent studies have demonstrated the persistence of antibiotics in soil, especially in Areas of vegetable Cultivation. However, there are very few studies of the influence of planting regimes on the levels of antibiotic pollution. This work introduces geographical-detector models to investigate the relationship between planting patterns (vegetable planting model, manure type and quantity, planting age, greenhouse Area, and topographic elevation) and residual fluoroquinolones (FQs) in soil in a pilot project in Shouguang County, Shandong Province (the largest vegetable-producing Area in China). The results led to the following findings. 1. The vegetable planting model is the major determinant of the spatial stratification of FQ in the soil. For example, the "cucumber-cucumber" model (growing cucumbers after cucumbers) has a three-fold power of determinant compared to the "pepper-melon" model (growing melons after peppers). 2. Planting age (years with continuous vegetable Cultivation) does not necessarily affect the spatial distribution of FQ owing to their relatively short degradation period. 3. Interactions between risk factors were more significant than the individual factors for FQ pollution. In particular, the interaction between the vegetable planting model and amount of manure resulted in the highest pollution level. The findings of the present study make it possible to introduce effective and practical measures to alleviate pollution of soils by FQ in the study Area. Adjustment of the vegetable Cultivation models and application of chicken manure (less than 6kg/m2 manure annually with a more dry than fresh manure) could be an effective and flexible approach to alleviate FQ pollution. The vegetable planting model is the major determinant of FQ difference in soil. Planting age could not result in spatial pollution differences. Interactions between risk factors should be given more concern. 2013 Elsevier B.V.
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spatial estimation of antibiotic residues in surface soils in a typical intensive vegetable Cultivation Area in china
Science of The Total Environment, 2012Co-Authors: Xuewen Li, Jinfeng Wang, George Christakos, Maogui Hu, Lihong An, Fasheng LiAbstract:Antibiotic residues in surface soils can lead to serious health risks and ecological hazards. Spatial mean concentration of antibiotic residues in the soil is the most important indicator of a region's environmental risk to antibiotic residues. Considerable estimation error would lead to an inefficient strategy of pollution control that happens when sample size is small and the estimation model does not match the spatial features of the object to be surveyed. On the basis of the available datasets, it was found that the distribution of antibiotics residue in soil follows a spatial stratification pattern. Accordingly, we used a new spatial estimation method called Mean of Surface with Non-homogeneity (MSN) to estimate antibiotic concentrations in surface soil of the Shandong Province, an important vegetable growing region in China. The standard error of the mean estimates obtained by MSN was significantly smaller (by about 1.02-6.82 g/kg) than the estimation errors produced by three mainstream methods, simple arithmetic estimation (2.9-11.8 g/kg), stratified estimation (2.5-10.6 g/kg) and ordinary kriging estimation (2.2-8.2 g/kg). 2012 Elsevier B.V.