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Conference on Remote Sensing and Modeling of Ecosystems for Sustainability X

作者： Cao Xiaoming Wang Juanle Gao, Zhiqiang Ning Jicai Shi Runhe Gao Wei Chinese Acad Sci Inst Geog Sci & Nat Resources Res Beijing Peoples R China Yantai Ist Coastal Zone Reasearch Chinese Sci Yantai Peoples R China Colorado State Univ Remote Sensing & Modeling Ctr Agr Sustainabil USDA UV B Monitoring & Res Program Nat Resource Ecol Lab Ft Collins CO 80523 USA

ISBN: (纸本)9780819497192

Fractional Vegetation Cover (FVC) is one of the most important variables in monitoring the changes of terres.rial ecosystems. based on the Two-endmember model, FVC from 2000 to 2012in Xinjiang was derived from MODIS Normalized Difference Vegetation Index (MODIS NDVI)) (16-Day). The spatio-temporal vegetation changes were analyzed, and the res.lts showed that: Vegetation cover in inner-mongolia was higher than that in Mongolia. In the year of 2000, the FVC in Inner-mongolia is 0.557, and 0.516 in Mongolia;while in the year of 2012, the FVC in Inner-mongolia is 0.663, and 0.593 in Mongolia.

关键词： NDVI FVC Spatio-temporal changes Terres.rial ecosystem

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The study on the changing characteristics and their Countermeasures.for China's carbon emissions in 2000-2010

The study on the changing characteristics and their Counterm...

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Conference on Remote Sensing and Modeling of Ecosystems for Sustainability X

作者： Wang, Qiuxian Gao, Zhiqiang Ning, Jicai Lu, Qing-shui Shi, Runhe Gao, Wei Chinese Acad Sci Yantai Inst Coastal Zone Res Yantai 264003 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Colorado State Univ USDA UV B Monitoring & Res Program Nat Resource Ecol Lab Ft Collins CO 80523 USA Ludong Univ Inst Geog & Planning Yantai 264025 Peoples R China

ISBN: (纸本)9780819497192

based on the quantitative calculation of 2000-2010 China's 30 provinces of carbon emissions by the method of 2006 IPCC with the data from China energy statistical yearbook and China cement Yearbook, a detailed analysis of the temporal and spatial variation characteristics of carbon emissions in both Chinese level and provinces' level was made. The res.lt showed that most of the provinces of China's carbon emissions pres.nted an increasing trend in the past 11 years, especially in Shandong Province, Hebei Province, Shanxi Province, Liaoning Province, Jiangsu province which is located in the national top five. Then according to the current carbon emissions trend, the author put forward some countermeasures.for China, such as speeding up the pace of industrial res.ructuring, searching for clean energy and other measures.to reduce the carbon emissions of china to low the emission rate and contribute to the world.

关键词： carbon emissions variation characteristics Countermeasures China 2000-2010

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The res.arch on the fairness of carbon emissions for China's energy based on GIS

The research on the fairness of carbon emissions for China's...

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Conference on Remote Sensing and Modeling of Ecosystems for Sustainability X

ISBN: (纸本)9780819497192

This article firstly calculated China's energy carbon emissions of 30 provinces in 2010 with the method of carbon emission inventories of 2006 IPCC based on the data of China energy statistical yearbook, and then calculated its carbon emission intensity with GDP data in China's statistical yearbook. Next according to the formed formula the author calculated the EEI (Economic Efficiency Index) and ECI (Ecological Carrying Index) and made some corres.onding figures.with the help of GIS to analyze the fairness of the China's energy CO2 emissions in 2010. The res.lts showed that the distribution of China's CO2 emissions for energy in 2010 become lower from the bohai bay to the surroundings and the west circle provinces are with the lowest energy carbon emissions. The intensity distribution of China's CO2 emissions for energy in 2010 becomes higher from southeast China to north China. The distributions of EEI, ECI and for China's energy CO2 emissions are quite different from each other, and also with their comprehensive res.lt. As to the fairness of China's energy CO2 emissions in 2010, we can say that the south provinces are better than those of bohai bay areas(except beijing and Tianjing).

关键词： fairness carbon emission China's energy GIS EEI ECI

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Concomitant Flow and Space Variations of Evapotranspiration due to Changes in LUCC under Seawater Intrusion in a Coastal Region

Concomitant Flow and Space Variations of Evapotranspiration ...

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Conference on Remote Sensing and Modeling of Ecosystems for Sustainability X

作者： Gao, Zhiqiang Ning, Jicai Cao Xiaoming Shi, Runhe Gao, Wei Chinese Acad Sci Yantai Inst Coastal Zone Res Yantai 264003 Peoples R China Chinese Acad Sci Inst Geog Sci & Nat Resources Res Beijing 100101 Peoples R China Colorado State Univ USDA UV B Monitoring & Res Program Ft Collins CO 80523 USA Colorado State Univ Ctr Remote Sensing & Modeling Agr Sustainabil Nat Resource Ecol Lab Ft Collins CO 80523 USA

ISBN: (纸本)9780819497192

This paper provides a coherent pattern identification analysis of coastal land use and land cover (LULC) under the impact of seawater intrusion. This study analysis applied the 4-, 3-, and 2-band false color composite Landsat satellite data to characterize the LULC in the study area. The evapotranspiration (ET) and heat fluxes were estimated by using the SEbAL model with two-time phase thermal infrared band images and regional surface parameters. Our findings are as follows: 1) Due to its distance from the sea, the vegetation index gradually increases as the level of land use gradually increased. 2) The different influences of seawater intrusion in the study area res.lted in significantly different influences of land surface parameters (LST, G(n), MSAVI, and Uindex) on ET. There are a variety of types of relational patterns between parameters (LST, G(n), MSAVI and Uindex) and ET (positive, negative, and no relationship). 3) Seawater intrusion significantly affected the spatial pattern of LUCC, which evidently affected the spatial distribution of ET. The spatial distribution pattern and change characteristics of ET were formed by double driving forces of seawater intrusion and LUCC under the background effects of regional climate.

关键词： Evapotranspiration Land use and land cover Remote sensing Seawater intrusion

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Validation of aerosol optical depth and total ozone column in the ultraviolet retrieved from Multi-filter Rotating Shadowband Radiometer

Validation of aerosol optical depth and total ozone column i...

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Conference on Remote Sensing and Modeling of Ecosystems for Sustainability X

作者： Liu, Chaoshun Chen, Maosi Gao, Wei East China Normal Univ Minist Educ Key Lab Geog Informat Sci Shanghai 200062 Peoples R China ECNU Joint Lab Environm Remote Sensing & Data Assimila Shanghai 200062 Peoples R China CEODE Shanghai 200062 Peoples R China Colorado State Univ USDA UV B Monitoring & Res Program Nat Resource Ecol Lab Ft Collins CO USA

ISBN: (纸本)9780819497192

Aerosol optical depth (AOD), aerosol single scattering albedo (SSA), and asymmetry factor (g) at seven ultraviolet wavelengths along with total column ozone (TOC) were retrieved based on bayesian optimal estimation (OE) from the measurements of the UltraViolet Multifilter Rotating Shadowband Radiometer (uv-MFRSR) deployed at the Southern Great Plains (SGP) site during March to November in 2009. To assess the accuracy of the OE technique, the AOD retreivals are compared to both the beer's law derived ones and the AErosol RObotic Network (AERONET) AOD product;and the TOC retreivals are compared to both the TOC product of the U.S. Department of Agriculture uv-b monitoring and res.arch program (usda uvMRP) and the Ozone monitoring Instrument (OMI) satellite data. The scatterplots of the AOD estimated by the OE method with the beer's law derived ones and the collocated AERONET AOD product both show a very good agreement: the correlation coefficients vary between 0.98 and 0.99;the slopes range from 0.95 to 1.0;and the offsets are less than 0.02 at 368 nm. The comparison of TOC also shows a promising accuracy of the OE method: the standard deviations of the difference between the OE derived TOC and other TOC products are about 5 to 6 Dobson Units (DU). The validation of the OE retreivals on the selected dates suggests the OE technique has its merits and is a supplemental tool in analyzing uvMRP data.

关键词： Aerosol optical depth (AOD) total column ozone (TOC) the UltraViolet Multifilter Rotating Shadowband Radiometer (uv-MFRSR) AERONET optimal estimation technique

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Analysis of Non-point and Point Source Pollution in China -Case Study in Shima Watershed in Guangdong Province

Analysis of Non-point and Point Source Pollution in China -C...

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Conference on Remote Sensing and Modeling of Ecosystems for Sustainability X

作者： Fang Huaiyang Lu Qingshui Gao Zhiqiang Shi Runhe Gao Wei MEP South China Inst Environm Sci Guangzhou 510655 Guangdong Peoples R China Chinese Acad Sci Yantai Inst Coastal Zone Res Yantai 264003 Peoples R China Colorado State Univ USDA UV B Monitoring & Res Program Ft Collins CO 80523 USA Colorado State Univ Ctr Remote Sensing & Modeling Agr Sustainbil Nat Resource Ecol Lab Ft Collins CO 80523 USA

ISBN: (纸本)9780819497192

China economy has been rapidly increased since 1978. Rapid economic growth led to fast growth of fertilizer and pesticide consumption. A significant portion of fertilizers and pesticides entered the water and caused water quality degradation. At the same time, rapid economic growth also caused more and more point source pollution discharge into the water. Eutrophication has become a major threat to the water bodies. Worsening environment problems forced governments to take measures.to control water pollution. We extracted land cover from Landsat TM images;calculated point source pollution with export coefficient method;then SWAT model was run to simulate non-point source pollution. We found that the annual TP loads from industry pollution into rivers are 115.0 t in the entire watershed. Average annual TP loads from each sub-basin ranged from 0 to 189.4 ton. Higher TP loads of each basin from livestock and human living mainly occurs in the areas where they are far from large towns or cities and the TP loads from industry are relatively low. Mean annual TP loads that delivered to the streams was 246.4 tons and the highest TP loads occurred in north part of this area, and the lowest TP loads is mainly distributed in middle part. Therefore, point source pollution has much high proportion in this area and governments should take measures.to control point source pollution.

关键词： non-point pollution point pollution Dongjiang watershed LUCC

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A Multi-Channel Calibration Method for Multi-Filter Rotating Shadow-band Radiometer

A Multi-Channel Calibration Method for Multi-Filter Rotating...

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Conference on Remote Sensing and Modeling of Ecosystems for Sustainability IX

作者： Chen, Maosi Davis, John Tang, Hongzhao Gao, Zhiqiang Gao, Wei Colorado State Univ USDA UV B Monitoring & Res Program Nat Resource Ecol Lab Ft Collins CO 80521 USA

ISBN: (纸本)9780819492302

In order to improve the accuracy of solar radiation related parameters' for crop modeling, a new calibration method (Multi-Channel Calibration) for Multi-Filter Rotating Shadow-band Radiometer (MFRSR) is proposed. It uses the Angstrom Law that links aerosol optical depth (AOD) at multiple wavelengths as the primary constraint. It also uses the bi-channel Langley Regres.ion to provide an additional constraint. Starting with any initial guess of calibration coefficient (V-0) at 870 nm, two consecutive steps, both involves calling trust region based non-linear optimization module (CONDOR), are implemented to solve (1) the intermediate parameter Angstrom coefficient and the set of biased V-0s at other channels corres.onding to the initial one at 870 nm channel;and (2) the final V-0s of all permissible channels. The res.lt shows that Unlike Langley method, the Multi-Channel Calibration method return V-0 at all permissible channels. besides, the new method can converge to the same (less than 0.5%) final V-0s with the starting guess in a wide range. Most important, the comparison between AODs derived from those final V-0s and those of AERONET sunphotometers suggests the upper limit of the error of those final V-0s is less than 1.03%, which is a great improvement over the Langley V-0s (7.45%).

关键词： MFRSR Angstrom Law Langley Analysis Multi-Channel Calibration CONDOR Non-Linear Optimization

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Evaluation of the combined risk of sea level rise, land subsidence, and storm surges on the coastal areas of Shanghai, China

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CLIMATIC CHANGE 2012年第3-4期115卷 537-558页

作者： Wang, Jun Gao, Wei Xu, Shiyuan Yu, Lizhong E China Normal Univ Minist Educ Key Lab Geog Informat Sci Shanghai 200062 Peoples R China Colorado State Univ USDA UV B Monitoring & Res Program Nat Resource Ecol Lab Ft Collins CO 80521 USA

Shanghai is a low-lying city (3-4 m elevation) surrounded on three sides by the East China Sea, the Yangtze River Estuary, and Hangzhou bay. With a history of rapid changes in sea level and land subsidence, Shanghai is often plagued by extreme typhoon storm surges. The interaction of sea level rise, land subsidence, and storm surges may lead to more complex, variable, and abrupt disasters. In this paper, we used MIKE 21 models to simulate the combined effect of this disaster chain in Shanghai. Projections indicate that the sea level will rise 86.6 mm, 185.6 mm, and 433.1 mm by 2030, 2050, and 2100, res.ectively. Anthropogenic subsidence is a serious problem. The maximum annual subsidence rate is 24.12 mm/year. by 2100, half of Shanghai is projected to be flooded, and 46 % of the seawalls and levees are projected to be overtopped. The risk of flooding is closely related to the impact of land subsidence on the height of existing seawalls and levees. Land subsidence increases the need for flood control measures.in Shanghai.

关键词： sea level rise storm surges Sea walls Settling velocity Civil engineering sea level East China Sea Shanghai China land subsidence coastal area Flood

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Comprehensive analysis of heavy metals in soils from baoshan District, Shanghai: a heavily industrialized area in China

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ENVIRONMENTAL EARTH SCIENCES 2012年第8期67卷 2331-2343页

作者： Chen, Y. Y. Wang, J. Gao, W. Sun, X. J. Xu, S. Y. E China Normal Univ Minist Educ Key Lab Geog Informat Sci Shanghai 200062 Peoples R China Colorado State Univ Nat Resource Ecol Lab USDA UV B Monitoring & Res Program Ft Collins CO 80521 USA Shanghai Environm Monitoring Stn Baoshan Dist Shanghai 200940 Peoples R China

The potential for soil heavy metal contamination in high risk areas is a crucial issue that will impact the environment. Soil samples were collected in 2003 and 2007 to investigate heavy metal contamination characteristics and pollution changes in the industrialized district of baoshan (Shanghai, China). both multi-statistic and geostatistic approaches were used and proved to be useful in the interpretation of the analytical res.lts. The potential for soil contamination in the high risk areas pres.nts a crucial issue that will impact the environment. The res.lts indicate that soil in the baoshan District is alkaline. Additionally, the accumulation of heavy metals in the soil increased between 2003 and 2007. The study res.lts indicated that the concentration of the metals lead (Pb), chromium (Cr), cadmium(Cd), mercury (Hg), arsenic (As), zinc (Zn) and copper (Cu) in the soil has great discrepancy, especially of Pb and Cr. The concentrations of Pb and Cr in the soil show significant difference between two observed years (p < 0.05). The concentration of most of these metals was higher in 2007 than 2003. Only the concentrations of Cd and As were not higher in 2007. Traffic and industrial contaminants were the likely source of Pb and As;Hg largely came from agricultural contamination, household garbage and industrial contamination;Cd, Cr, Zn and Cu mainly originated from industrial activities. Multivariate statistical analyses showed that human activities mainly contributed to heavy metal contamination. Spatial distribution confirmed this by showing that areas with the highest metal concentrations occurred where there were high levels of industrial activity and traffic. Potential ecological risk assessment res.lts showed that high risk zones were highly correlated with spatial analysis. The study estimated that in 2007, 85.2 % of the district could be categorized as high risk, which is 77.4 times more than that in 2003.

关键词： Heavy metal Potential ecological risk Multivariate statistical analyses Geostatistical analysis Spatial change

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Dynamic modelling of future land-use change: a comparison between CLUE-S and Dinamica EGO models

Dynamic modelling of future land-use change: a comparison be...

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Conference on Remote Sensing and Modeling of Ecosystems for Sustainability IX

作者： Yi, Wei Gao, Zhiqiang Chen, Maosi Chinese Acad Sci Inst Geog Sci & Nat Resources Res Beijing Peoples R China Grad Univ Chinese Acad Sci Beijing Peoples R China Colorado State Univ USDA UV B Monitoring & Res Program Nat Resource Ecol Lab Ft Collins CO USA

ISBN: (纸本)9780819492302

Land-use and land-cover change has been a res.arch focus in global environmental change. Recent res.arch found that land-use change could influence the structure of biogeochemical spheres.as well as material and energy recycle directly or indirectly. Land-use dynamic models are considered as an effective technique to study the processes of land-use modification. The objective of this paper is to compare two widely use land-use dynamic models, CLUE-S and Dinamica EGO, from the perspective of land-use change amount, spatial characteristics, and their utility. A case study was conducted to examine the ascendants of each model and Kappa coefficient was used to compare the simulation accuracy. The modelling experiments reflected that the predictions of land-use change based on CLUE-S and Dinamica EGO matched broadly with actual situation. CLUE-S was better in overall accuracy whereas the Markov process in Dinamica EGO could precisely predict the amount of land-use change. Moreover, the spatial pattern of simulation map based on Dinamica EGO was more consistent with empirical res.lt. both res.lts indicate their possible further applicability for forecasting future land-use change and corres.onding studies.

关键词： Dinamica EGO CLUE-S Dynamic modelling land-use change

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