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Corrigendum to “V 2 O 5 supported on NbTiO x : A novel NH 3 -SCR catalyst with high performance induced by V-Nb-Ti interaction” [Appl. Surf. Sci. 639 (2023) 158200]

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Applied Surface Science 2024年 660卷

作者： Chunxi Lin Zhihua Lian Wenpo Shan Hong He Center for Excellence in Regional Atmospheric Environment and Key Laboratory of Urban Pollutant Conversion Institute of Urban Environment Chinese Academy of Sciences Xiamen 361021 China University of Chinese Academy of Sciences Beijing 100049 China Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control Ningbo Urban Environment Observation and Research Station Institute of Urban Environment Chinese Academy of Sciences Ningbo 315800 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China

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Selective Separation of Volatile Fatty Acids, Nitrogen and Phosphorus from Anaerobic Acidogenic Fermentation Via Forward Osmosis Membrane Process

SSRN

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SSRN 2022年

作者： Zhu, Xian-Zheng Wang, Long-Fei Pan, Xin-Rong Zhang, Feng Huang, Min-Sheng Li, Wen-Wei Liu, Hou-Qi National and Local Joint Engineering Laboratory for Municipal Sewage Resource Utilization Technology Suzhou University of Science and Technology Suzhou215009 China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration School of Ecological and Environmental Sciences East China Normal University Shanghai200062 China Suzhou Advanced Research Institute University of Science and Technology of China Suzhou215123 China

Selective separation and recovery of volatile fatty acids (VFA) and other valuable resources promotes a sustainable wastewater treatment system, but its cost-effective separation approaches are poorly understood. This study investigated the feasibility of applying a forward osmosis (FO) dewatering process for the selective separation of VFA, ammonium and phosphate from anaerobic acidogenic fermentation. Limited VFA rejection of fermentation broth, i.e., less than 20%, was observed under acidic conditions, while the rejection rate was significantly increased to ~90% at neutral pH. The transfer of ammonium across the membranes was remarkably impacted by the feed solution pH. Lower pH (~4) values resulted in higher rejection rates of ammonium (~96%), and the rate gradually declined as pH increased. The rejection of phosphate, which remained higher than 98%, was less sensitive to pH variations. The increase in water flux promoted the rejection of VFA, ammonium and phosphate, and the membrane orientation significantly impacted the transfer of nutrients in the FO process. The active layer facing the feed solution (AL-FS) mode exhibited higher rejection rates of VFA, ammonium and phosphate than the active layer facing the draw solution (AL-DS) mode, which was ascribed to the internal concentration polarization effect. Furthermore, approximately 80% of water could be effectively reduced from a real acidogenic fermentation liquor during the FO process;ammonium and phosphate were 3.72-fold and 4.10-fold concentrated in feed solution, respectively, and VFA was selectively separated in draw solution. The work confirmed the feasibility of utilizing FO processes in separating and enriching VFA, ammonium and phosphate from anaerobic fermentation liquors, providing meaningful information on promoting FO-based processes in treating wastewater. © 2022, The Authors. All rights reserved.

关键词： Nutrients

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Cropland redistribution to marginal lands undermines environmental sustainability

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National Science Review 2022年第1期9卷 66-78页

作者： Wenhui Kuang Jiyuan Liu Hanqin Tian Hao Shi Jinwei Dong Changqing Song Xiaoyong Li Guoming Du Yali Hou Dengsheng Lu Wenfeng Chi Tao Pan Shuwen Zhang Rafiq Hamdi Zherui Yin Huimin Yan Changzhen Yan Shixin Wu Rendong Li Jiuchun Yang Yinyin Dou Wenbin Wu Liqiao Liang Bao Xiang Shiqi Yang Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences International Center for Climate and Global Change Research School of Forestry and Wildlife Sciences Auburn University Faculty of Geographical Science Beijing Normal University State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences College of Resources and Environment University of Chinese Academy of Sciences School of Public Administration and Law Northeast Agricultural University School of Geographical Sciences Fujian Normal University School of Resources and Environmental Economics Inner Mongolia University of Finance and Economics School of Geography and Tourism Qufu Normal University Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Royal Meteorological Institute of Belgium Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences Key Laboratory for Resources Use & Environmental Remediation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Hubei Province’s Key Laboratory for Environment & Disaster Monitoring and Evaluation Innovation Academy for Precision Measurement Science and Technology Chinese Academy of Sciences Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences Key Laboratory of Tibetan Environment Changes and Land Surface Processes Institute of Tibetan Plateau Research Chinese Academy of Sciences Institute of Ecology Chinese Research Academy of Environmental Sciences College of Environment and Planning Henan University

Cropland redistribution to marginal land has been reported worldwide;however,the resulting impacts on environmental sustainability have not been investigated *** we investigated the environmental impacts of cropland redistribution in *** a result of urbanization-induced loss of high-quality croplands in south China(～8.5 t ha-1),croplands expanded to marginal lands in northeast(～4.5 t ha-1) and northwest China(～2.9 t ha-1) during 1990-2015 to pursue food ***,the reclamation in these low-yield and ecologically vulnerable zones considerably undermined local environmental sustainability,for example increasing wind erosion（+3.47%）,irrigation water consumption（+34.42%）,fertilizer use（+20.02%） and decreasing natural habitats（-3.11%）.Forecasts show that further reclamation in marginal lands per current policies would exacerbate environmental costs by *** future cropland security risk will be remarkably intensified because of the conflict between food production and environmental *** research suggests that globally emerging reclamation of marginal lands should be restricted and crop yield boost should be encouraged for both food security and environmental benefits.

关键词： cropland redistribution environmental sustainability marginal lands wind erosion irrigation water consumption

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Land subsidence monitoring based on PS-InSAR Persistent Scatterers identification with spectral analysis method 10

Land subsidence monitoring based on PS-InSAR Persistent Scat...

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10th International Symposium on Land Subsidence, TISOLS 2020

作者： Zhou, Di Yu, Jie Zhu, Lin Wang, Yanbing Zhang, Jing Jiao, Shuai Shu Chen, Ren College of Geospatial Information Science and Technology Capital Normal University Beijing100048 China College of Resource Environment and Tourism Capital Normal University Beijing100048 China State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation Beijing100048 China Beijing Laboratory of Water Resources Security Beijing Municipal Education Commission Beijing100048 China Key Laboratory of 3-Dimensional Information Acquisition and Application Ministry of Education Beijing100048 China

Layover occurs as a consequence of the slant range scale distortion in Synthetic Aperture Radar (SAR) data and it is commonly observed in the images acquired over urban areas. There may be two or more Persistent Scatterers (PSs) in one pixel. Moreover, these PSs do not have amplitude stability and spatial coherence. The threshold method used in the Persistent Scatterer Interferometric (PSI) SAR technique cannot identify the PS with two scatterers in urban, the accuracy of urban land subsidence is reduced. To solve this problem, we used Fast Fourier Transform (FFT) convert PSs in frequency domain during PS identification process of PSI, by observing their characteristics in the frequency domain, the layover scatterers can be identified and separated. The results of simulation experiment show that by analyzing the peak distribution characteristics of PSs in the elevation direction under the relatively even space baseline, PSI with FFT can identify single scatterers and layover scatterers. After separating the layover scatterers, the reliability of PSs identification are improved. For the real data experiment, we use 31 Sentinel-1A IW images covering Beijing from 2014 to 2016 as data sources. The results show that the proposed method can effectively identify layover scatterers which cannot be identified by the threshold method in urban, reducing the effect of layover scatterers, improving the accuracy of urban land subsidence monitoring. ©Author(s) 2020.

关键词： Fast Fourier transforms

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Examining multi-level poverty-causing factors of farm household

Examining multi-level poverty-causing factors of farm househ...

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2019 ISPRS and GEO Workshop on Geospatially-enabled SDGs Monitoring for the 2030 Agenda

作者： Jiang, Yuewen Wang, Yanhui Qi, Wenping Beijing Key Laboratory of Resource Environment and Geographic Information System Capital Normal University Beijing100048 China Ministry of Education Key Laboratory of 3-Dimensional Information Acquisition and Application Capital Normal University Beijing100048 China State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation Capital Normal University Beijing100048 China

In view of the current research on the factors of poverty at home and abroad, most of them have less background effects on scale and the mechanism. This study uses a multi-level linear regression model and a geographic detector to jointly detect the poverty influencing factors in the study area. This study mainly draws the following three conclusions: (1) There are background effects on the scale of the poverty-stricken factors in the study area, and the background effects have a great impact. (2) At different scales there are significant poverty-stricken factors. (3) Different research methods lead to differences in research results. © Authors 2019. CC BY 4.0 License.

关键词： Regression analysis

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Vegetation Rather than Climate Dominate the Bowen Ratio Over Terrestrial Ecosystems of China

SSRN

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SSRN 2023年

作者： Sun, Mingyu Yu, Guirui Chen, Zhi Zhu, Xianjin Zhang, Weikang Han, Lang Liu, Zhaogang Ma, Lexin Dou, Xiaojun Yao, Yuan Wang, Jilong Luo, Wenxing Lin, Yong Chen, Shiping Deng, Zhengmiao Dong, Gang Du, Hu Gao, Yanhong Gu, Fengxue Hao, Xiangxiang Hao, Yanbin He, Qihua He, Yongtao He, Jinsheng Ji, Xibin Jiang, Shicheng Jiang, Zhengde Li, Xinhu Li, Yingnian Li, Yuqiang Li, Yuzhe Liu, Ran Liu, Shaomin Luo, Weijun Mo, Xingguo Sha, Liqing Shi, Peili Song, Qinghai Sun, Dan Tan, Junlei Tang, Yakun Wang, Fei Wang, Huimin Wang, Jianlin Wei, Wenxue Wu, Jiabing Wu, Zhixiang Xin, Xiaoping Yan, Junhua Zhang, Fawei Zhang, Yangjian Zhang, Yiping Zhang, Yucui Zhao, Fenghua Zhao, Liang Zhou, Li Zhu, Jiaojun Zhu, Zhilin Institute of Surface-Earth System Science School of Earth System Science Tianjin University Tianjin300072 China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China College of Resources and Environment University of Chinese Academy of Sciences Beijing100049 China Beijing Yanshan Earth Critical Zone National Research Station University of Chinese Academy of Sciences Beijing101408 China College of Agronomy Shenyang Agricultural University Shenyang100161 China Tianjin Bohai Rim Coastal Earth Critical Zone National Observation and Research Station Tianjin University Tianjin300072 China State Key Laboratory of Vegetation and Environmental Change Institute of Botany Chinese Academy of Sciences Beijing100093 China Key Laboratory for Agro-ecological Processes in Subtropical Region Institute of Subtropical Agriculture Chinese Academy of Sciences Changsha410125 China Shanxi University Taiyuan030006 China Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou730000 China Institute of Environment and Sustainable Development in Agriculture Chinese Academy of Agricultural Sciences Beijing100081 China Center for Agricultural Technology Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Harbin150081 China University of Chinese Academy of Sciences Beijing100049 China Chengdu Institute of Biology Chinese Academy of Sciences Chengdu610041 China Institute of Ecology College of Urban and Environmental Sciences Key Laboratory for Earth Surface Processes the Ministry of Education Peking University Beijing100871 China State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems College of Pastoral Agriculture Science and Technology Lanzhou University Lanzhou China School of Life Sciences Northeast Normal University Changchun130024 China Institute of Applied Ecology Chinese

Bowen ratio (β) is the ratio of sensible heat (H) to latent heat (LE), which reflected the energy balance and partitioning process between soil, vegetation, and atmosphere. Revealing the spatial patterns of β would benefit understanding the variation of energy partitioning in terrestrial ecosystems and its reciprocal relationship with environmental change. Here, we calculated β by integrating sensible and latent heat flux values from 80 flux observation sites based on eddy covariance method in ChinaFLUX to analyze the spatial pattern and dominant factors of β in China. Results showed that terrestrial ecosystems in China had an average β of 0.64±0.47, suggesting the strong regulating effect of ecosystems on the radiative warming in China. β significantly varied with ecosystem types in which desert has the highest β (2.08) while wetland showed the lowest β (0.37). β of terrestrial ecosystems in China showed a significant latitudinal pattern, increasing linearly with the increase of latitude, and showed specific patterns in forest and cropland ecosystems. However, β did not present a clear longitudinal and vertical pattern in different ecosystems except cropland. The spatial pattern of β was dominated by vegetation factors including gross primary productivity (GPP). However, the dominant role of vegetation factors varied with the climate and soil conditions, which showing that the dominant role of GPP gradually decreased from the hot and humid subtropical evergreen broad-leaved forest region to the low temperature arid temperate desert region. These findings demonstrated the spatial variation and its mechanism of terrestrial ecosystems β and provided insight into the future of vegetation mitigation of global climate change. © 2023, The Authors. All rights reserved.

关键词： Heat flux

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Cross-Comparison of Snow Albedo Products Derived from Satellite (Sentinel-2 and Landsat 8) Optical Data

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IOP Conference Series: Earth and environmental Science 2021年第1期658卷

作者： Yan Fan Jie Yu Wenting liu College of Resource Environment and Tourism Capital Normal University Beijing 100048 China State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation Beijing 100048 China Beijing Laboratory of Water Resources Security Beijing Municipal Education Commission Beijing 100048 China

Snow albedo is an important factor affecting global climate change. Due to the limitation of atmospheric conditions and cloud cover, remote sensing products of snow albedo have data missing and error uncertainty. In this study, based on the method of directly inverting the reflectance of the top of the atmosphere, the difference and accuracy of the snow albedo derived from the Sentinel-2 and Landsat 8 data were compared. we used two narrowband-to-broadband conversion algorithms to obtain a total of four snow albedo products. Then we use scatterplots and three indicators (the mean absolute value error, root mean square error, and pearson correlation coefficient) to compare the correlation and accuracy of the four products. The research results show that four snow albedo products derived from satellite (Sentinel-2 and Landsat 8) optical data have a strong correlation. Finally, we use IDL to check each field for regression analysis to obtain a linear regression equation. The fitting coefficient of the equation is between 0.85-0.90. The snow albedo is inverted by a variety of remote sensing data, which provides a solution to the problem of missing data.

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Research on Aerosol Retrieval Algorithm of Multi-parameter Optimization Model

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IOP Conference Series: Earth and environmental Science 2021年第1期658卷

作者： Jiabao Yue Donghai Xie Jie Yu Lin Zhu Zhengyang He College of Resource Environment and Tourism Capital Normal University Beijing 100048 China State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation Beijing 100048 China Beijing Laboratory of Water Resources Security Beijing Municipal Education Commission Beijing 100048 China

Aerosols can have an important impact on human society. Remote sensing method plays an important role in the aerosol retrieval. The aerosol retrieval SARA algorithm isn't required a lot of prior knowledge and look-up table comparing with the traditional aerosol retrieval algorithms. However, the retrieval results of SARA algorithm are affected by the acquisition time differences and instability of MODIS data and AERONET data. In order to improve SARA algorithm, this paper studies the nonlinear optimization methods to construct the three-parameter model and the five-parameter model. And used the model to optimize the input parameters to improve the accuracy of aerosol retrieval. The correlation of five-parameter optimization results with AERONET sites Beijing and XiangHe is 0.7454 and 0.701 respectively, which is better than that of three-parameter optimization model's 0.6012, 0.6479, and both are higher than SARA's 0.3844 and 0.526.

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Temporal and Spatial Evolution Characteristics Analysis of Beijing Land Subsidence Based on InSAR

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IOP Conference Series: Earth and environmental Science 2021年第1期658卷

作者： Nijiati Muhetaer Jie Yu Yanbing Wang Jiabao Yue College of Resource Environment and Tourism Capital Normal University Beijing 100048 China State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation Beijing 100048 China Beijing Laboratory of Water Resources Security Beijing Municipal Education Commission Beijing 100048 China Key Laboratory of 3-Dimensional Information Acquisition and Application Ministry of Education Beijing 100048 China

Land subsidence is one of the main geological disasters in the Beijing Plain. Accurate and quantitative monitoring of the evolution of land subsidence will help scientifically guide the prevention and control of land subsidence. We use PS-InSAR technology and TerraSAR 3m resolution images as our data source to study the temporal and spatial evolution characteristics of Beijing's land subsidence from 2012 to 2015. The research indicates that, from a spatial perspective, the land subsidence presents a funnel shape, the central area of the settlement funnel is maintained at 112.5km², and the total land subsidence area remains basically unchanged. From the temporal point of view, the central area of the ground subsidence funnel subsides at a rate of 110mm/y, the ground subsidence rate in other areas decreases as it far away from the settlement center.

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An improved probabilistic relaxation method for matching multi-scale road networks

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International Journal of Digital Earth 2018年第6期11卷 635-655页

作者： Jianchen Zhang Yanhui Wang Wenji Zhao College of Resources Environment and Tourism Capital Normal UniversityBeijingPeople’s Republic of China D Information Collection and Application Key Lab of Education Ministry Capital Normal UniversityBeijingPeople’s Republic of China Beijing State key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation Capital Normal UniversityBeijingPeople’s Republic of China

Matching multi-scale road networks in the same area is the first step in merging two road networks or updating one based upon the *** quality of the merge or update depends greatly on the matching accuracy of the two road *** propose an improved probabilistic relaxation method,considering both local and global optimizations for matching multi-scale of road *** aim is to achieve local optimization,as well as to address the identification of the M:N matching pattern by means of inserting virtual nodes to achieve global optimization ***,by adding two attribute-related evaluation indicators,we developed four evaluation indicators to evaluate the matching accuracy,considering both geographic and attribute *** paper also provides instructions on how to identify the proper buffer threshold during matching *** experiments were conducted to compare the proposed method with the traditional *** results indicate that:(1)the overall matching accuracy of each evaluation indicator exceeds 90%;(2)the overall matching accuracy increases by 6–12%after an M:N matching pattern is added,and by 4–6%following the addition of topology indicators;and(3)the proper buffer threshold is about twice the average value of the closest distance from all nodes.

关键词： Improved probabilistic relaxation multi-scale road network matching topology constraint M:N matching pairs matching accuracy

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