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Geoscience Frontiers 2022年第1期13卷 217-229页

作者： Liang Han Lin Wang Xuanming Ding Haijia Wen xingzhong yuan Wengang Zhang School of Civil Engineering Chongqing UniversityChongqing 400045China Key Laboratory of New Technology for Construction of Cities in Mountain Area Chongqing UniversityChongqing 400045China National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas Chongqing UniversityChongqing 400045China

This paper presents a confidence ellipse-based method to evaluate the similarity of soil parametric data using the database from the site investigation reports.Then,the obtained similarity assessment results of parametric data are used to further estimate the site similarity via two proposed strategies,namely the mean and weighted mean approaches.The former referred to the average of parametric data similarity degrees,while the latter was the weighted average,and the weight was calculated using the coefficient of variation(COV)of each parameter.For illustration,the liquidity index(LI)dataset was firstly used to explore the performance of the presented method in the evaluation of parametric data similarity.Subsequently,the site similarity was assessed and the effects of numbers and weights of selected parameters for study were systematically studied.Lastly,the transformation models about the relationships between Cc and x as well as between Cc and e0 were constructed to illustrate the application of the similarity analysis in reduction of transformation uncertainty.Results show that the greatest site similarity degree is at about 0.76 in this study,and the maximum decrease of transformation uncertainty can reach up to 18%and 25.5%as union parametric data similarity degree increases.Moreover,the site similarity degree represents the whole similarity between two different sites,and the presented union parameter similarity degree maintains a good agreement with transformation uncertainty.

关键词： Soil parameters Site Confidence ellipse Similarity

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Zeolite-based Fenton-like catalysis for pollutant removal and reclamation from wastewater

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Chinese Chemical Letters 2022年第11期33卷 4719-4731页

作者： Zichen Shangguan xingzhong yuan Longbo Jiang Yanlan Zhao Lei Qin Xuerong Zhou Yan Wu Jia Wei Chew Hou Wang College of Environmental Science and Engineering Hunan UniversityChangsha 410082China Key Laboratory of Environment Biology and Pollution Control Hunan UniversityMinistry of EducationChangsha 410082China College of Resources and Environment Hunan Agricultural UniversityChangsha 410128China School of Chemical and Biomedical Engineering Nanyang Technological UniversitySingapore 637459Singapore

Wastewater treatment and reclamation from wastewater are essential for the sustainable use of water resource.Zeolite-based heterogeneous catalysis shows great potential in circumventing the current limitations on pollutant removal and transformation to useful chemicals,inspiring advancements towards practical water treatment.This paper summarizes the methods for synthesizing zeolite-based catalyst,and the corresponding advantages and disadvantages.In comparison with traditional Fenton-like reaction,the superiority of zeolite-based catalysis lies in less sludge,wide pH range and easy recyclability.Accordingly,applications of zeolite-based Fenton-like catalysis(ZFCs)in pollutant removal and reclamation of wastewater were reviewed.Emphasis was placed on the methodological strategies in improving ZFCs,including the combination of external driving force(e.g.,photocatalysis or electrochemistry),as well as the introduction of various transition metals into zeolite-based catalyst.Possible challenges and future perspectives for ZFCs were proposed.

关键词： Zeolite-based catalysis Methodology External field Degradation Useful chemical regeneration

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Machine learning predicting and engineering the yield,N content,and specific surface area of biochar derived from pyrolysis of biomass

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Biochar 2022年第1期4卷 134-151页

作者： Lijian Leng Lihong Yang Xinni Lei Weijin Zhang Zejian Ai Zequn Yang Hao Zhan Jianping Yang xingzhong yuan Haoyi Peng Hailong Li School of Energy Science and Engineering Central South UniversityChangsha 410083HunanPeople’s Republic of China. College of Environmental Science and Engineering Hunan UniversityChangsha 410083HunanPeople’s Republic of China

Biochar produced from pyrolysis of biomass has been developed as a platform carbonaceous material that can be used in various applications.The specific surface area(SSA)and functionalities such as N-containing functional groups of biochar are the most significant properties determining the application performance of biochar as a carbon material in various areas,such as removal of pollutants,adsorption of CO_(2)and H2,catalysis,and energy storage.Producing biochar with preferable SSA and N functional groups is among the frontiers to engineer biochar materials.This study attempted to build machine learning models to predict and optimize specific surface area of biochar(SSA-char),N content of biochar(N-char),and yield of biochar(Yield-char)individually or simultaneously,by using elemental,proximate,and biochemical compositions of biomass and pyrolysis conditions as input variables.The predictions of Yield-char,N-char,and SSA-char were compared by using random forest(RF)and gradient boosting regression(GBR)models.GBR outperformed RF for most predictions.When input parameters included elemental and proximate compositions as well as pyrolysis conditions,the test R^(2) values for the single-target and multi-target GBR models were 0.90-0.95 except for the two-target prediction of Yield-char and SSA-char which had a test R^(2) of 0.84 and the three-target prediction model which had a test R^(2) of 0.81.As indicated by the Pearson correlation coefficient between variables and the feature importance of these GBR models,the top influencing factors toward predicting three targets were specified as follows:pyrolysis temperature,residence time,and fixed carbon for Yield-char;N and ash for N-char;ash and pyrolysis temperature for SSA-char.The effects of these parameters on three targets were different,but the trade-offs of these three were balanced during multi-target ML prediction and optimization.The optimum solutions were then experimentally verified,which opens a new way for designing smart biochar with target properties and

关键词： Specific surface area Nitrogen Biochar Pyrolysis Machine learning

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Quantifying the spatiotemporal characteristics of ecosystem services and livelihoods in China’s poverty-stricken counties

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Frontiers of Earth Science 2021年第3期15卷 553-579页

作者： Lilei ZHOU Dongjie GUAN xingzhong yuan Mengjie ZHANG Weijun GAO Faculty of Architecture and Urban planning Chongqing UniversityChongqing 400030China Key Lab of Three Gorges Reservoir Region Eco-Environment(Ministry of Education) Chongqing UniversityChongqing 400030China Faculty of Environmental Engineering University of KitakyushuKitakyushu 808-0135Japan College of Architecture and Urban Planning Chongqing Jiaotong UniversityChongqing 400074China

Understanding the coupling relationship between ecosystem services and poverty livelihoods is a prerequisite for poverty eradication and ecological protection in China.In this paper,we intended to quantify the coupling relationship between ecosystem services and poverty livelihoods in 717 poverty-stricken counties in China.First,we identified distinct levels of ecosystem services and poverty respectively in the poverty-stricken areas based on the ecosystem services subsystem index and poverty livelihoods subsystem index.Then,we calculated the coupling degree and coupling coordination degree between the ecosystem services and the poverty livelihoods in China^poverty-stricken counties from 2000 to 2015.Finally,we analyzed the temporal and spatial evolution of the coupling between ecosystem services and poverty livelihoods.The results indicate that the ecosystem services showed a trend of first decreasing and then increasing,while the poverty level showed an increased trend.In addition,the coupling relationship between ecosystem services and poverty livelihoods in poverty-stricken counties was also improved from 2000 to 2015.However,the coupling degree value or coupling coordination degree values in some counties or contiguous impoverished areas showed a decreased trend,the coupling relationship between ecosystem services and poverty livelihoods in those counties or areas was higher conflict.Future more,the coupling relationship in China's poverty-stricken counties was mainly intermediate conflict and low conflict,which need to improve in the future.Thus,it is suggested that effective measures are required to lift ecosystem services out of the poverty trap and into sustainable livelihoods.

关键词： ecosystem services poverty livelihoods coupling degree coupling coordination degree coupling relationship spatiotemporal characteristic

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三峡库区消落带植物群落及其功能性状对水淹强度的响应

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生态学报 2024年第11期44卷 4795-4807页

作者：程莅登袁兴中孙阔唐婷袁嘉重庆大学建筑城规学院重庆400044 重庆大学三峡库区消落区生态修复与治理研究中心重庆400044

植物功能性状能表征其对资源的利用能力和对外界环境的响应,而水淹强度的不同使得三峡库区消落带不同高程的生境存在较大差异,因此开展不同水淹梯度下消落带植物群落生态策略及功能性状差异的研究,对全面理解植物对消落带不同生境的适... 详细信息

植物功能性状能表征其对资源的利用能力和对外界环境的响应,而水淹强度的不同使得三峡库区消落带不同高程的生境存在较大差异,因此开展不同水淹梯度下消落带植物群落生态策略及功能性状差异的研究,对全面理解植物对消落带不同生境的适应机理具有重要意义。研究选取受三峡水库水位变化影响的澎溪河流域,沿高程梯度对不同水淹强度下的植物群落及其功能性状指标进行分析。结果表明:(1)消落带植物群落处于演替的初级阶段,不同水淹梯度下的植物群落存在显著分化;(2)环境胁迫是决定消落带植物生态策略的主要因素,总体呈现较为集中的耐压策略,随着高程升高有逐渐向杂草策略转移的趋势;(3)随着高程升高,植物的高度、主茎干物质量、比根长及叶组织密度都有增大的趋势,比叶面积则相反。(4)各功能性状之间存在显著相关性,并通过形成不同的性状组合以适应不同强度水淹干扰的生境。消落带下部更倾向于投资于叶片使植物在出露期能快速获取资源和完成生活史,而消落带上部则更倾向于投资防御组织及根系以抵御干旱,研究结果可为消落带生物多样性保护及其生态系统修复提供理论依据。

关键词：消落带水淹强度植物群落功能性状竞争-耐压-杂草生态策略

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网络虚拟财产的物权客体属性与保护

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贵州民族大学学报（哲学社会科学版） 2024年第3期 193-208页

作者：孙永军袁行重南京农业大学法律系江苏南京210095 江苏省太仓市人民法院江苏太仓215400

网络虚拟财产不同于传统的现实财产,作为一种新型的财产形态,其法律属性的认定一直存在争议。现实中网络虚拟财产纠纷的日益增加,迫切要求予以明确。目前,《中华人民共和国民法典》已经完成编纂并正式施行,不应再试图为网络虚拟财产设... 详细信息

网络虚拟财产不同于传统的现实财产,作为一种新型的财产形态,其法律属性的认定一直存在争议。现实中网络虚拟财产纠纷的日益增加,迫切要求予以明确。目前,《中华人民共和国民法典》已经完成编纂并正式施行,不应再试图为网络虚拟财产设定新的权利类型与保护路径,而应在物债二元体系下寻求对其法律属性的定位。在我国现有民法框架下,通过法律解释可以证成网络虚拟财产符合“物”之支配性和“物必有体”的要求,应将其视为民法上的“物”,归入物权客体的范畴。在明确网络虚拟财产的物权客体属性之后,应当构建起一套系统的物权保护路径,具体来说,应从网络虚拟财产物权的主体、物权的行使及其限制、物权的公示、物权的变动、物权的救济五个方面来完善网络虚拟财产的法律保护。

关键词：网络虚拟财产法律属性物债二元体系物权客体

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Yangtze Three Gorges Reservoir, China: A holistic assessment of organic pollution, mutagenic effects of sediments and genotoxic impacts on fish

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Journal of Environmental Sciences 2015年第12期27卷 63-82页

作者： Tilman Floehr Bj?rn Scholz-Starke Hongxia Xiao Josef Koch Lingling Wu Junli Hou Anja Wolf Axel Bergmann Kerstin Bluhm xingzhong yuan Martina Ro?-Nickoll Andreas Sch?ffer Henner Hollert Department of Ecosystem Analysis Institute for Environmental ResearchRWTH Aachen University Key Laboratory of Yangtze River Water Environment Ministry of EducationTongji University East China Sea Fisheries Research Institute IWW Rhenish-Westfalian Institute for Water Research Institute for Applied Geosciences Technische Universit?t Darmstadt College of Resources and Environmental Science Chongqing University State Key Laboratory of Pollution Control and Research Reuse School of the EnvironmentNanjing University

Besides obvious benefits,the Three Gorges Dam＇s construction resulted in new pollution scenarios with the potentials to threaten the Three Gorges Reservoir（TGR） ecosystem.In order to record organic contamination,to find links to ecotoxicological impacts and to serve as reference for ensuing monitoring,several sites in the TGR area were screened applying the triad approach with additional lines-of-evidence as a holistic assessment method.Sediments and the benthic fish species Pelteobagrus vachellii were sampled in 2011 and 2012 to determine organic pollution levels,mutagenic potentials and genotoxic impacts.Two regional hot-spots near the cities of Chongqing and Kaixian were identified and further investigated in 2013.Only polycyclic aromatic hydrocarbons（PAHs） could be detected in sediments in 2011（165-1653 ng/g）,emphasizing their roles as key pollutants of the area.Their ubiquity was confirmed at Chongqing（150-433 ng/g） and Kaixian（127-590 ng/g） in2013.Concentrations were comparable to other major Chinese and German rivers.However,the immense sediment influx suggested a deposition of 216-636 kg PAH/day（0.2-0.6 mg PAH/（m2·day））,indicating an ecotoxicological risk.PAH source analysis highlighted primary impacts of combustion sources on the more industrialized upper TGR section,whereas petrogenic sources dominated the mid-low section.Furthermore,sediment extracts from several sites exhibited significant activities of frameshift promutagens in the Ames fluctuation assay.Additionally,significant genotoxic impairments in erythrocytes of P.vachellii were detected（Chongqing/Kaixian）,demonstrating the relevance of genotoxicity as animportant mode of action in the TGR＇s fish.PAHs,their derivatives and non-target compounds are considered as main causative agents.

关键词： Yangtze Three Gorges Reservoir Triad approach Sediment Fish Mutagenicity Genotoxicity PAH

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喀斯特小微湿地植物多样性研究——以贵阳市阿哈湖国家湿地公园为例

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三峡生态环境监测 2024年第1期9卷 49-59页

作者：刘文媛米珊珊罗鸣肖晶胡敏向羚丰袁兴中贵阳阿哈湖国家湿地公园管理处贵阳550000 成都青塘文化传播有限公司成都610045 贵州师范大学贵阳550001 重庆千洲生态环境工程有限公司重庆400050 重庆大学建筑城规学院重庆400044

为了更好地评估阿哈湖国家湿地公园内的喀斯特梯田小微湿地植被修复效果,对小微湿地修复区A、B、C 3个不同植物配置区内66个样地的植物物种组成、盖度、密度、群落结构以及α和β多样性特征进行了调查研究。结果表明:梯田小微湿地共有2... 详细信息

为了更好地评估阿哈湖国家湿地公园内的喀斯特梯田小微湿地植被修复效果,对小微湿地修复区A、B、C 3个不同植物配置区内66个样地的植物物种组成、盖度、密度、群落结构以及α和β多样性特征进行了调查研究。结果表明:梯田小微湿地共有23种湿地植物,划分为7个群落类型;湿地植被盖度和植株密度均呈现C>A>B,α多样性指数呈现A>B>C的趋势;泽泻+黄花鸢尾+水葱群落类型通常具有较高的α多样性指数和伴生物种数;而以茭白、水葱或泽泻为主要优势种且植被密度和盖度较高的群落类型的小微湿地,通常α多样性指数较低且伴生种数量少;泽泻+茭白和香蒲+水葱的群落类型与其他群落类型的β多样性指数最大,物种组成差异性最大。研究结果表明:后期对小微湿地植物选择配置时应谨慎考虑茭白、水葱或泽泻与其他物种混种对植物多样性降低的影响。

关键词：梯田小微湿地植物多样性湿地修复阿哈湖湿地公园

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Litter Decomposition of Emergent Plants along an Elevation Gradient in Wetlands of Yunnan Plateau,China

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Chinese Geographical Science 2017年第5期27卷 760-771页

作者： LIU Guodong SUN Jinfang TIAN Kun yuan xingzhong AN Subang WANG Hang College of Geography and Tourism Qufu Normal UniversityRizhao 276826China National Plateau Wetlands Research Center/Southwest Forestry University Kunming 650224China College of Resource and Environmental Science Chongqing UniversityChongqing 400030China Key Laboratory of Wetland Ecology and Environment Northeast Institute of Geography and AgroecologyChinese Academy of SciencesChangehun 130102China

The decomposition of plant litter is a key process in the flows of energy and nutrients in ecosystems. However, the response of litter decomposition to global climate warming in plateau wetlands remains largely unknown. In this study, we conducted a one-year litter decomposition experiment along an elevation gradient from 1891 m to 3260 m on the Yunnan Plateau of Southwest China, using different litter types to determine the influences of climate change, litter quality and microenvironment on the decomposition rate. The results showed that the average decomposition rate(K) increased from 0.608 to 1.152, and the temperature sensitivity of litter mass losses was approximately 4.98%/℃ along the declining elevation gradient. Based on a correlation analysis, N concentrations and C︰N ratios in the litter were the best predictors of the decomposition rate, with significantly positive and negative correlations, respectively. Additionally, the cumulative effects of decomposition were clearly observed in the mixtures of Scirpus tabernaemontani and Zizania caduciflora. Moreover, the litter decomposition rate in the water was higher than that in the sediment, especially in high-elevation areas where the microenvironment was significantly affected by temperature. These results suggest that future climate warming will have significant impacts on plateau wetlands, which have important functions in biogeochemical cycling in cold highland ecosystems.

关键词：凋落物分解中国西南部高原湿地挺水植物海拔梯度云南高原生物地球化学循环全球气候变暖

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适应水位变化的鸟类生境修复研究——以三峡水库澎溪河大浪坝为例

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中国园林 2022年第12期38卷 32-37页

作者：陈鸿飞袁嘉唐婷张展菲袁兴中重庆大学建筑城规学院重庆400044 重庆大学山地城镇建设与新技术教育部重点实验室、重庆大学三峡库区消落区生态修复与治理研究中心重庆400044 重庆大学三峡库区消落区生态修复与治理研究中心重庆400044

蓄水后三峡水库消落带的剧烈水位变化与反季节水淹,导致鸟类生境数量与质量的双重衰退,并引发鸟类群落组成与空间分布的显著变化。针对适应水位变化并恢复鸟类多样性这一三峡水库生物多样性保护的重要科学问题,选取澎溪河大浪坝消落带... 详细信息

蓄水后三峡水库消落带的剧烈水位变化与反季节水淹,导致鸟类生境数量与质量的双重衰退,并引发鸟类群落组成与空间分布的显著变化。针对适应水位变化并恢复鸟类多样性这一三峡水库生物多样性保护的重要科学问题,选取澎溪河大浪坝消落带为研究区域,基于栖息、觅食、繁殖及庇护等鸟类生境综合需求,提出以“环境要素-生物要素-空间结构”协同设计为核心的鸟类生境修复技术框架。对修复后大浪坝消落带鸟类群落的结构及多样性变化进行评估,结果表明:鸟类生境质量显著改善,在不同季节及水位条件下均能维持良好的鸟类生境异质性,鸟类多样性得到持续提升。研究成果可为复杂水位变化影响下大型水库消落带的鸟类生境修复与多样性提升提供科学依据和可参考的技术范式。

关键词：风景园林水位变化消落带鸟类生境生态修复生物多样性三峡水库

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