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小艳 杨; Yang Xiaoyan; Ling Yu; Li Long; Chen Longgao; Chen Longqian. 基于最坏情景理论的连云港土地利用变化情景模拟. 资源科学 2019, 41, 1082 -1092.
AMA Style小艳 杨, Yang Xiaoyan, Ling Yu, Li Long, Chen Longgao, Chen Longqian. 基于最坏情景理论的连云港土地利用变化情景模拟. 资源科学. 2019; 41 (6):1082-1092.
Chicago/Turabian Style小艳 杨; Yang Xiaoyan; Ling Yu; Li Long; Chen Longgao; Chen Longqian. 2019. "基于最坏情景理论的连云港土地利用变化情景模拟." 资源科学 41, no. 6: 1082-1092.
As an important contributor to pollutant emissions to the atmosphere, land use can degrade environmental quality. In order to assess the impact of land-use planning on the atmosphere, we propose a methodology combining the land-use-based emission inventories of airborne pollutants and the long-term air pollution multi-source dispersion (LAPMD) model in this study. Through a case study of the eastern Chinese city of Lianyungang, we conclude that (1) land-use-based emission inventorying is a more economical way to assess the overall pollutant emissions compared with the industry-based method, and the LAPMD model can map the spatial variability of airborne pollutant concentrations that directly reflects how the implementation of the land-use planning (LUP) scheme impacts on the atmosphere; (2) the environmental friendliness of the LUP scheme can be assessed by an overlay analysis based on the pollution concentration maps and land-use planning maps; (3) decreases in the emissions of SO2 and PM10 within Lianyungang indicate the overall positive impact of land-use planning implementation, while increases in these emissions from certain land-use types (i.e., urban residential and transportation lands) suggest the aggravation of airborne pollutants from these land parcels; and (4) the city center, where most urban population resides, and areas around key plots would be affected by high pollution concentrations. Our methodology is applicable to study areas for which meteorological data are accessible, and is, therefore, useful for decision making if land-use planning schemes specify the objects of airborne pollutant concentration.
Longgao Chen; Long Li; Xiaoyan Yang; Yu Zhang; Longqian Chen; Xiaodong Ma. Assessing the Impact of Land-Use Planning on the Atmospheric Environment through Predicting the Spatial Variability of Airborne Pollutants. International Journal of Environmental Research and Public Health 2019, 16, 172 .
AMA StyleLonggao Chen, Long Li, Xiaoyan Yang, Yu Zhang, Longqian Chen, Xiaodong Ma. Assessing the Impact of Land-Use Planning on the Atmospheric Environment through Predicting the Spatial Variability of Airborne Pollutants. International Journal of Environmental Research and Public Health. 2019; 16 (2):172.
Chicago/Turabian StyleLonggao Chen; Long Li; Xiaoyan Yang; Yu Zhang; Longqian Chen; Xiaodong Ma. 2019. "Assessing the Impact of Land-Use Planning on the Atmospheric Environment through Predicting the Spatial Variability of Airborne Pollutants." International Journal of Environmental Research and Public Health 16, no. 2: 172.
Longgao Chen; Xiaoyan Yang; Longqian Chen; Long Li. Impact assessment of land use planning driving forces on environment. Environmental Impact Assessment Review 2015, 55, 126 -135.
AMA StyleLonggao Chen, Xiaoyan Yang, Longqian Chen, Long Li. Impact assessment of land use planning driving forces on environment. Environmental Impact Assessment Review. 2015; 55 ():126-135.
Chicago/Turabian StyleLonggao Chen; Xiaoyan Yang; Longqian Chen; Long Li. 2015. "Impact assessment of land use planning driving forces on environment." Environmental Impact Assessment Review 55, no. : 126-135.
This paper presents a new assessment method for alleviating urban heat island (UHI) effects by using an urban land surface moisture (ULSM) index. With the aid of Landsat 8 OLI/TIRS data, the land surface temperature (LST) was retrieved by a mono-window algorithm, and ULSM was extracted by tasselled cap transformation. Polynomial regression and buffer analysis were used to analyze the effects of ULSM on the LST, and the alleviation effect of ULSM was compared with three vegetation indices, GVI, SAVI, and FVC, by using the methods of grey relational analysis and Taylor skill calculation. The results indicate that when the ULSM value is greater than the value of an extreme point, the LST declines with the increasing ULSM value. Areas with a high ULSM value have an obvious reducing effect on the temperature of their surrounding areas within 150 m. Grey relational degrees and Taylor skill scores between ULSM and the LST are 0.8765 and 0.9378, respectively, which are higher than the results for the three vegetation indices GVI, SAVI, and FVC. The reducing effect of the ULSM index on environmental temperatures is significant, and ULSM can be considered to be a new and more effective index to estimate UHI alleviation effects for urban areas.
Yu Zhang; Longqian Chen; Yuchen Wang; Longgao Chen; Fei Yao; Peiyao Wu; Bingyi Wang; Yuanyuan Li; Tianjian Zhou; Ting Zhang. Research on the Contribution of Urban Land Surface Moisture to the Alleviation Effect of Urban Land Surface Heat Based on Landsat 8 Data. Remote Sensing 2015, 7, 10737 -10762.
AMA StyleYu Zhang, Longqian Chen, Yuchen Wang, Longgao Chen, Fei Yao, Peiyao Wu, Bingyi Wang, Yuanyuan Li, Tianjian Zhou, Ting Zhang. Research on the Contribution of Urban Land Surface Moisture to the Alleviation Effect of Urban Land Surface Heat Based on Landsat 8 Data. Remote Sensing. 2015; 7 (8):10737-10762.
Chicago/Turabian StyleYu Zhang; Longqian Chen; Yuchen Wang; Longgao Chen; Fei Yao; Peiyao Wu; Bingyi Wang; Yuanyuan Li; Tianjian Zhou; Ting Zhang. 2015. "Research on the Contribution of Urban Land Surface Moisture to the Alleviation Effect of Urban Land Surface Heat Based on Landsat 8 Data." Remote Sensing 7, no. 8: 10737-10762.
Land use/land cover (LULC) inventory provides an important dataset in regional planning and environmental assessment. To efficiently obtain the LULC inventory, we compared the LULC classifications based on single satellite imagery with a rule-based classification based on multi-seasonal imagery in Lianyungang City, a coastal city in China, using CBERS-02 (the 2nd China-Brazil Environmental Resource Satellites) images. The overall accuracies of the classification based on single imagery are 78.9, 82.8, and 82.0 % in winter, early summer, and autumn, respectively. The rule-based classification improves the accuracy to 87.9 % (kappa 0.85), suggesting that combining multi-seasonal images can considerably improve the classification accuracy over any single image-based classification. This method could also be used to analyze seasonal changes of LULC types, especially for those associated with tidal changes in coastal areas. The distribution and inventory of LULC types with an overall accuracy of 87.9 % and a spatial resolution of 19.5 m can assist regional planning and environmental assessment efficiently in Lianyungang City. This rule-based classification provides a guidance to improve accuracy for coastal areas with distinct LULC temporal spectral features.
Xiaoyan Yang; Longgao Chen; Yingkui Li; Wenjia Xi; Longqian Chen. Rule-based land use/land cover classification in coastal areas using seasonal remote sensing imagery: a case study from Lianyungang City, China. Environmental Monitoring and Assessment 2015, 187, 1 -15.
AMA StyleXiaoyan Yang, Longgao Chen, Yingkui Li, Wenjia Xi, Longqian Chen. Rule-based land use/land cover classification in coastal areas using seasonal remote sensing imagery: a case study from Lianyungang City, China. Environmental Monitoring and Assessment. 2015; 187 (7):1-15.
Chicago/Turabian StyleXiaoyan Yang; Longgao Chen; Yingkui Li; Wenjia Xi; Longqian Chen. 2015. "Rule-based land use/land cover classification in coastal areas using seasonal remote sensing imagery: a case study from Lianyungang City, China." Environmental Monitoring and Assessment 187, no. 7: 1-15.
Longgao Chen; Xiaoyan Yang; Longqian Chen; Rebecca Potter; Yingkui Li. A state-impact-state methodology for assessing environmental impact in land use planning. Environmental Impact Assessment Review 2014, 46, 1 -12.
AMA StyleLonggao Chen, Xiaoyan Yang, Longqian Chen, Rebecca Potter, Yingkui Li. A state-impact-state methodology for assessing environmental impact in land use planning. Environmental Impact Assessment Review. 2014; 46 ():1-12.
Chicago/Turabian StyleLonggao Chen; Xiaoyan Yang; Longqian Chen; Rebecca Potter; Yingkui Li. 2014. "A state-impact-state methodology for assessing environmental impact in land use planning." Environmental Impact Assessment Review 46, no. : 1-12.
It is of great significance to take into account the atmospheric environment influence of land use in coal city because air pollution is dominant in the whole environmental pollution. In this paper, the spatial assessment result maps of air pollution diffusion in Zoucheng County were achieved firstly with the help of Matlab and ArcGIS software and the application of air pollution Chronic Multi-sources Diffusion (CMD) assessment model created on the basis of fan-shaped chronic average concentration calculated method and Gaussian diffusion model,. Then the Land Use Planning (LUP) environmental influence based on the air pollution CMD in coal city was analyzed with GIS overlay analysis tool. The results indicated that (1) the planning construction land including highway and railway layout was environmentally rationally located in Zoucheng area especially taking SD diffusion into consideration as a whole; (2) however, the aggravation of SO2 diffusion concentration should not neglectd in the implementation of the construction land layout planning in the future; (3) the LUP environmental impact assessment (LUPEA) could be implemented with the help of remote-sensing (RS) technique, GIS technologies and numerical computation method, which would give much more emphasis on geographic information science research as well.
Longgao Chen; Xiaoyan Yang; Jianrong Kang. A Case Study of Land Use Planning Environmental Assessment Based on the Air Pollution Analysis. Advances in Intelligent and Soft Computing 2012, 142, 319 -328.
AMA StyleLonggao Chen, Xiaoyan Yang, Jianrong Kang. A Case Study of Land Use Planning Environmental Assessment Based on the Air Pollution Analysis. Advances in Intelligent and Soft Computing. 2012; 142 ():319-328.
Chicago/Turabian StyleLonggao Chen; Xiaoyan Yang; Jianrong Kang. 2012. "A Case Study of Land Use Planning Environmental Assessment Based on the Air Pollution Analysis." Advances in Intelligent and Soft Computing 142, no. : 319-328.