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Assessing the Influence of Environmental Factors on Spatial Soil Erosion Risk based on the Certainty Coefficient Method

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Journal of Risk Analysis and Crisis Response 2018年第3期8卷 131-141页

作者： Wang, Jun Gong, Qinghua Yu, Yan Guangdong Open Laboratory of Geospatial Information Technology and Application Guangzhou China Guangzhou Institute of Geography Guangzhou China Construction and Water Services Bureau of Tianhe District Guangzhou China

Soil erosion is a very serious ecological problem and remains a highly contentious issue in Nanling National Nature Reserve, China. This paper assessed the spatial relationships between soil erosion risk and the environmental factors affecting soil erosion. Such research is significant for monitoring future land use/cover changes, including agricultural expansion and deterioration of forest resources. First, the soil erosion spatial distribution map was obtained by interpreting consecutive Landsat 8 satellite images, of which the interpreted result was validated via the intensive fieldwork. Then, from the perspective of topography, land cover, soil and rainfall, environmental factors that may influence the soil erosion risk were selected to quantitative test the relationships between soil erosion risk and the environmental factors using a certainty coefficient method. The results indicate that soil erosion is highly correlated to specific slope categories, elevation zones, distance to rivers, land use/cover type, stratum lithology, soil types and annual 24h maximum rainfall. The occurrence probability of soil erosion is high in the area where the slope is larger than 40°. A remarkable variation in soil erosion loss displays in areas above 1300 m of elevation, and areas below 500 m. The probability of soil erosion is the highest in the area within 100 meters of distance to rivers. Cultivated land, grassland and artificial surface land covers have the strongest soil erosion. The probability of soil erosion in the Cambrian and Carboniferous strata is the highest among the lithology categories. The red soil and scrubby-meadow soil have the strongest soil erosion. Soil erosion in the area of annual maximum 24h rainfall between 110 mm and 120 mm is stronger than other area. The reported results provided viable information essential to control soil erosion, reduce soil loss, and achieve sustainable ecological development.

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Fluid geochemical genesis of the Rehai high temperature geothermal system in the southeast Himalayas 58

Fluid geochemical genesis of the Rehai high temperature geot...

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58th US Rock Mechanics / Geomechanics Symposium 2024, ARMA 2024

作者： Liao, Dawei Wang, Yingchun Hao, Yinlei Feng, Jianyun Zhang, Ying Petroleum Exploration and Production Research Institute SINOPEC Beijing102206 China State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation Chengdu University of Technology Chengdu610059 China College of Energy Resources Chengdu University of Technology Chengdu610059 China Guangdong Open Laboratory of Geospatial Information Technology and Application Guangzhou Institute of Geography Guangdong Academy of Sciences Guangzhou510070 China

ISBN: (纸本)9798331305086

Western Yunnan is located in the southeast Himalayas, with well-developed faults and abundant high-temperature geothermal resources. In the western Yunnan geothermal fields, the hydrochemical and isotopic characteristics of geothermal fluids are studied and analyzed, elucidating the genetic model of magmatic high-temperature geothermal systems, and revealing the hydrochemical processes and genesis of geothermal water during the circulation process. The Rehai geothermal water type is mainly HCO3 Cl-Na. The high Cl content of geothermal water comes from the supply of magmatic water, while Na, K, and HCO3 mainly come from the leaching of feldspar minerals by mantle-derived CO2. Water hydrogen and oxygen isotopes indicate the source of atmospheric precipitation, while Rehai hot spring water shows an "18O shift". It is related to the mixing of magmatic water and the interaction between water and rock. According to the Na-K cation thermometer, among numerous geothermal fields of the western Yunnan region, the deep reservoir temperature of the Rehai geothermal field is the highest, reaching 260 ℃. The Rehai geothermal water undergoes deep circulation and obtains deep heat after being recharged by atmospheric precipitation infiltration in the metamorphic rock area of the Gaoligongshan group located in the northeastern mountainous area. Rising along the fault, exposed as a hot spring at the surface. Copyright 2024 ARMA, American Rock Mechanics Association.

关键词： Geothermal fields

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Influencing mechanism of energy-related carbon emissions in Xinjiang based on the input-output and structural decomposition analysis

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Journal of Geographical Sciences 2017年第3期27卷 365-384页

作者： WANG Changjian WANG Fei ZHANG Xiaolei ZHANG Hongou Guangzhou Institute of Geography Guangdong Open Laboratory of Geospatial Information Technology and Application Guangzhou 510070 China College of Geography Science and Tourism Xinjiang Normal University Urumqi 830054 China Xinjiang Institute of Ecology and Geography CAS Urumqi 830011 China

Analysis of carbon emission mechanism based on regional perspectives is an im- portant research method capable of achieving energy savings and emission reductions. Xin- jiang, an important Chinese energy production base, is currently going through a period of strategic opportunities for rapid development. Ensuring stable socio-economic development while achieving energy savings and meeting emission reductions targets, is the key issue currently facing the region. This paper is based on the input-output theory, and conducts a structural decomposition analysis on the factors affecting energy-related carbon emissions in Xinjiang from 1997 to 2007; this analysis employs a hybrid input-output analysis framework of ＂energy - economy - carbon emissions＂. （1） Xinjiang＇s carbon emissions from energy con- sumption increased from 20.70 million tons in 1997 to 40.34 million tons in 2007; carbon emissions growth was mainly concentrated in the production and processing of energy re- sources, the mining of mineral resources, and the processing industry. （2） The analysis of the direct effects of the influencing factors on carbon emissions showed that the change in per capita GDP, the final demand structure, the population scale, and the production structure were the important factors causing an increase in carbon emissions, while the decrease in carbon emission intensity during this period was the important influencing factor in stopping the growth of carbon emissions. This showed that while the sizes of Xinjiang＇s economy and population were growing, the economic structure had not been effectively optimized and the production technology had not been efficiently improved, resulting in a rapid growth of carbon emissions from energy consumption. （3） The analysis of the indirect effects of the influencing factors of carbon emission showed that the inter-provincial export, fixed capital formation, and the consumption by urban residents had significant influence on the changes in carbon

关键词： carbon emissions input output-structural decomposition analysis influencing factors Xinjiang

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Research on Spatiotemporal Evolution Law of Black and Odorous Water Body in Guangzhou City 7th

Research on Spatiotemporal Evolution Law of Black and Odorou...

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7th International Conference on Geoinformatics in Sustainable Ecosystem and Society, GSES 2019, and 1st International Conference on geospatial Artificial Intelligence for Urban Computing, GeoAI 2019

作者： Zhao, Qian Han, Liusheng Li, Yong Yang, Ji Wang, Shuxiang Zhu, Congjun Li, Yinguo Shandong University of Technology Zibo255000 China Guangdong Key Laboratory of Geospatial Information Technology and Application Guangzhou Institute of Geography Guangzhou510070 China State Grid Chongqing Yongchuan Power Supply Company YongchuanChongqing402106 China

ISBN: (纸本)9789811561054

The urban black and odorous water bodies affect the daily life of urban residents, destroy the aquatic ecosystem and damage the image of the city. This research used the evaluation method of black and odorous water body proposed by the Ministry of Housing and Urban-Rural Development of the People’s Republic of China (MOHURD) to evaluate the water quality of 50 key creeks (53 sections) in Guangzhou in 2016 and 2017 and analyzed the spatial distribution of black and odorous water bodies and their changes over time. The results showed that the water quality of Conghua District, Panyu District, Nansha District, and Yuexiu District was relatively good, while the water quality of Baiyun District, Haizhu District, Huadu District, Huangpu District, Liwan District, Tianhe District, and Zengcheng District was relatively poor. Compared with 2016, the water quality of creeks in Huangpu District and Baiyun District deteriorated in 2017, while the water quality of creeks in Tianhe District, Liwan District, and Huadu District improved. The water quality of creeks in other districts did not change significantly. In 2017, ammonia nitrogen (NH3-N), total phosphorus (TP), and chemical oxygen demand (COD) content decreased, and dissolved oxygen (DO) content increased compared to 2016. In 2017, the number of black-odor water bodies was greatly reduced, and the water quality of creeks was generally improved. The results can provide a reference for the treatment of the black and odorous creeks in Guangzhou. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Water quality

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ESTIMATION MODEL FOR DUST-RETENTION CONTENT OF MAIN GREEN PLANTS IN SOUTH CHINA BASED ON THE RED EDGE OF REFLECTANCE

ESTIMATION MODEL FOR DUST-RETENTION CONTENT OF MAIN GREEN PL...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Chongyang Wang Chen Zhang Xia Zhou Ji Yang Wenlong Jing Shuisen Chen Guangdong Open Laboratory of Geospatial Information Technology and Application Guangzhou Institute of Geography Guangzhou China College of Geomatics Shandong University of Science and Technology Qingdao China

Estimating dust-retention content (DRC) on plants leaves is important to the protection and improvement of the atmospheric environment, which can be helpful to the human health and social development. Due to lacking of well-used estimation model, the current studies about dust-retention based on remote sensing are scarce. This paper aims to establish an estimation model for DRC of main green plants based on 56 in situ samples collected in 2014-2016 from Guangzhou, South China. After pre-processing and laboratory analysis, the correlation coefficient between leaf reflectance spectral data and DRC was calculated under MATLAB environment. The results showed that the relationship between red edge (720 nm) of reflectance spectra and DRC is relatively higher. Therefore, a model for estimating DRC based on red edge position was established. It was found that the exponential model showed a high calibration accuracy (DRC: 0.019-1.1 g/m~2, R~2=0.71, N=40, P-value < 0.001) and had an acceptable validation accuracy (DRC: 0.154-0.978 g/m~2, RMSE = 0.157 g/m~2, MRE=33.8%, N=16). Although the red edge of vegetation was generally used to monitor the health status of plants, the results of this study indicated that red edge of reflectance can be applied for estimating the DRC on plants leaves as well. Based on the DRC retrieval model, there is potential to monitor and estimate the dynamic changes of dust-retention in a large region from multi-source satellite and unnamed aerial vehicle platform.

关键词： Reflectivity Mathematical model Correlation coefficient Remote sensing Monitoring Biological system modeling Estimation

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Research on Change of Land Use Based on Decision Tree in the Horqin Sandy Land in the Past 25 Years 7th

Research on Change of Land Use Based on Decision Tree in the...

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7th International Conference on Geoinformatics in Sustainable Ecosystem and Society, GSES 2019, and 1st International Conference on geospatial Artificial Intelligence for Urban Computing, GeoAI 2019

作者： Wang, Shuxiang Han, Liusheng Yang, Ji Li, Yong Zhu, Congjun Zhao, Qian Zhao, Zhenzhen Liu, Li Zhang, Ruiping Shandong University of Technology Zibo255000 China Guangdong Key Laboratory of Geospatial Information Technology and Application Guangzhou Institute of Geography Guangzhou510070 China Ludong University Yantai264001 China Bayannur Electric Power Bureau Bayannur015000 China

ISBN: (纸本)9789811561054

Horqin Sandy Land is a key area for the construction of northeast shelterbelts. Ecological environment of the area is fragile and vulnerable to damage. However, there is a lack of research on the long time series and continuous system in Horqin Sandy Land. Therefore, it is urgent to grasp the impact of policies of the Three-North Shelterbelt Program on Horqin Sandy Land and analysis the differences in land use patterns in the Horqin Sandy Land before and after implementing restoration projects. In this paper, six counties in Horqin Sandy Land are used as the research areas. Six Landsat TM / ETM + / OLI remote sensing images from 1990 to 2015 are collected. Based on the NDVI, NDWI, NDBI, and the principle of spectral hybrid analysis, a decision tree classification method is used to put the satellite image data divided into seven categories: sandy land, cultivated land, waters, forest land, grassland, residential land, and saline-alkali land. The accuracy of the classification results is verified on the basis of high-resolution images and yearbook data. The results show that: (1) Analysis is made from the perspective of land use dynamics. During the period of 1990–2015, the area of cultivated land and residential land continued to increase. The area of salinized land, water body and grassland fluctuated little, and decreased generally. The forest land and desertification area fluctuated greatly and the overall trend was "increase-decrease-increase";the overall trend of sandy land was "decrease-increase-decrease". The areas of grassland, woodland and sandy land showed a negative correlation. (2) Analysis is made from the perspective of spatial distribution pattern of land use types, each of land types has undergone dramatic changes, among which grassland, cultivated land, forest land, and sandy land are the most important types of change. (3) Twenty-five years after the implementation of the Three-Norths Shelter Program, the ecological environment of Horqin Sandy Land

关键词： Land use

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Social inequity of park accessibility in Taiyuan:highlighting the unfair layout of parks in second-tier cities of China and the relative role of contributors

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地球空间信息科学学报（英文版） 2024年第4期27卷 1118-1140页

作者： Jing He Fu Ren Jiaxin Dong Huihui Zhang Wenhao Yan Jiping Liu School of Resource and Environmental Sciences Wuhan UniversityWuhanChina School of Resource and Environmental Sciences Wuhan UniversityWuhanChina Key Laboratory of Geographic Information Systems Ministry of EducationWuhan UniversityWuhanChina School of Remote Sensing and Information Engineering Wuhan UniversityWuhanChina Guangdong Provincial Department of Natural Resources Land and Resources Technology CenterGuangzhouChina Research Center of Geospatial Big Data Application Chinese Academy of Surveying and MappingBeijingChina

The scarcity of public resources and environmental pollution caused by rapid urbanization highlight the practical significance of parks in ensuring the sustainable development of a ***,the social equity of parks warrants further *** paper proposes a fine-grained comprehensive evaluation framework that combines geographic accessibility models,geo-statistical analysis,and machine learning algorithms to explore social inequity in Taiyuan,*** this framework,gini coefficient and lorentz curve express spatial equality,accessibility shows spatial equity,and ridge regression model handles the interdependence of variables with different dimensions to quantify the relative effects of local participants on changes in park *** this basis,the imbalance between vulnerable groups and park supply is analyzed to further understand the core concept of social *** highlight serious spatial inequality in all three types of parks allocation of six urban areas,especially in commu-nity *** actual access level of people to parks is also stratified by their demographic and socioeconomic characteristics,revealing the social inequity in access to *** distribution is indeed not conducive to some social vulnerable groups,whose contradiction between supply and demand is highly prominent in urban-rural junctions and new urban *** paper also confirms the unfair layout of public facilities can be observed in second-tier cities of China by highlighting the social inequity of parks in *** findings of this work have profound implications for urban planning and sustainable development.

关键词： Parks social inequity spatial equality accessibility social vulnerable groups Taiyuan

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Estimation the leaf phosphorus concentration of litchi (Litchi chinensis Sonn.) at different growth stages by canopy reflectance

Estimation the leaf phosphorus concentration of litchi (Litc...

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International Conference on Agro-Geoinformatics

作者： Chongyang Wang Zhiping Peng Wei Liu Shuisen Chen Dan Li Siyu Huang Guangdong Open Laboratory of Geospatial Information Technology and Application Guangzhou Institute of Geography Guangzhou China Institute of Agricultural Resources and Environment Guangdong Academy of Agricultural Sciences Guangzhou China

This study aims to quantify litchi leaf phosphorus concentration (LPC) from canopy spectra at five different growth stages. The band iteration was used to optimize the ratio vegetation index (RVI) and ratio of band difference index (RBDI). The correlation analysis, linear regression and cross validation were used to analyze the relationship between spectral data and LPC and construct the robust estimation model for LPC. It is difficult to estimate the LPC by the general model. The correlation analysis based on the dataset at each growth stage showed that the band optimization can improve the relationship between spectral data and LPC. And the wavebands selected by the band iteration were located in blue, red, near infrared and shortwave infrared region, which were partly related to the absorption of anthocyanin, protein, starch et al. The estimation model by RBDI (905, 965, 1005) in fruit maturation stage had the best performance (R2cv>0.95). The best estimation model in flowering stage was calibrated by RVI (925, 1025) with the R2cv of 0.66. The linear model by RBDI (1525, 2105, 2225) presented the R2cv of 0.75 in autumn shoot maturation stage. And the RBDI (815, 1475, 2135) and RBDI (2005, 2095, 2375) had the best performances in flower spike growing stage and flower bud differentiation stage with the R2cvs of 0.68 and 0.63, respectively. The results indicated that it is available to estimate LPC by canopy reflectance spectra. Besides it is necessary to estimate the phosphorus content of litchi based on the growth stages.

关键词： Geography Frequency selective surfaces Nitrogen Indexes Spectroradiometers

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The mechanism of farmland marginalization in Chinese mountainous areas:Evidence from cost and return changes

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Journal of Geographical Sciences 2019年第4期29卷 531-548页

作者： LI Shengfa LI Xiubin Guangdong Open Laboratory of Geospatial Information Technology and Application Guangzhou Institute of GeographyGuangzhou 510070China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China

Farmland marginalization has become the main trend of land-use change in the mountainous areas of China. Using annual survey data of major agricultural production costs and earnings at national and provincial levels in China, this study aims to analyze the reasons and mechanism behind farmland marginalization in mountainous areas. We find that farmers on plains are able to reduce their per mu labor input effectively through intensive use of agricultural machinery, which has minimized the impact of the increase in labor price. However, it is extremely challenging for farmers in mountainous areas to use the same method owing to the rough terrain. Thus, per laborer farming area in these areas has increased relatively slowly, causing a widening gap in agricultural labor productivity between the two regions. With the rapid rise in labor costs since 2003, the marginalization of cultivated land in mountainous areas is evident. In 2013, the net profit of agricultural production in mountainous China fell below zero. Since 2000, the land-use and land-cover change in these areas was characterized by the reduction of farmland area, reforestation, and the enhancement of the NDVI value. The high correlation between the NDVI change rate and the ratio of change in farmland(r = –0.70) and forest(r = 0.91) in mountainous areas at provincial level further attests to the trend of farmland marginalization there. Finally, we summarize the mechanism of such marginalization against the backdrop of the rapid increase in the opportunity cost of farming and the rapid fall of agricultural labor forces in mountainous areas. This study contributes to a deep understanding of the development process of farmland marginalization and abandonment as well as forest transition in Chinese mountainous areas.

关键词： farmland marginalization farmland abandonment labor costs returns agricultural labor productivity mountainous areas China

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Daily forecasting model for urban residential water consumption based on smart meters

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International Journal of Earth Sciences and Engineering 2016年第1期9卷 308-312页

作者： Ji, Yang Yong, Li Jingfeng, Yang Handong, Zhou Guangliang, Tang Open Laboratory of Geo-spatial Information Technology and Application of Guangdong Province Guangzhou Institute of Geography Guangzhou510070 China

The traditional models for water consumption forecast in the time scale of month or year, can’t provide decision-making support to the daily water supply dispatching, while models in the spatial scale of city, province or the whole country, can’t meet the needs of micro water supply dispatching in a relatively smaller area. The research analyzes the urban residential water consumption based on the detailed data collected by smart meters, and proposed a daily forecasting model for water consumption both in the time scale of day or hours, and in the spatial scale of household. We can’t forecast water consumption in the time scale of one day with the traditional monthly collected water consumption data. But the detailed water consumption data, which are collected by smart meters, have a better accuracy and higher frequency than the traditional water supply meters. Based on these detailed water consumption data in a residential area, we can do research in the time scale of day or 15 minutes. These data can be divided into several representative periods. The proposed model for water consumption can be made by assigning weight to the water consumption data of the previous day, and data of the previous week. © 2016 CAFET-INNOVA TECHNICAL SOCIETY. All rights reserved.

关键词： Forecasting

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