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water-soluble chitosan promotes remediation of Pb-contaminated soil by Hylotelephium spectabile

Frontiers of Environmental Science & Engineering 2024年第7期18卷 109-122页

作者： Bingxin Guo Yiwei Zhang Junxing Yang Tianwei Qian Junmei Guo Xiaona Liu Yuan Jiao Tongbin Chen Guodi Zheng Wenjun Li Fei Qi College of Environmental Science and Engineering Taiyuan University of TechnologyShanxi Key Laboratory of Earth Surface Processes and Resource Ecological Security in Fenhe River BasinShanxi Engineering Research Center of Low Carbon Remediation for Water and Soil Pollution in Yellow River BasinJinzhong 030600China Center for Environmental Remediation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China University of Chinese Academy of sciences Beijing 100049China Shanxi Transportation Holding Ecological Environment Co. Ltd.Shanxi 030000China Beijing Key Lab for Source Control Technology of water Pollution College of Environmental Science and EngineeringBeijing Forestry UniversityBeijing 100083China

water-soluble chitosan(WSC)has been studied for its ability to mobilize soil Pb and promote the phytoremediation by Hylotelephium spectabile in Pb-contaminated *** aimed to clarify the internal mechanism by which wSC impacts phytoremediation by examining plant growth and Pb accumulation performance of *** as well as the Pb form,functional groups,and mineral phases of Pb-contaminated *** effectively decreased soil pH and activated Pb migration in rhizosphere soils,with a considerable increase in water-soluble and acid-extractable Pb by 29%-102%and 9%-65%,respectively,and a clear decreasing trend in reducible and oxidizable ***-transform infrared spectroscopy revealed a significant increase in amino and hydroxyl groups in the soil generated by *** coordination of Pb with amino and hydroxyl groups may play an important role in the formation of Pb complexes and activation of Pb in *** field trials,the application of WSC significantly increased Pb accumulation in *** by 125.44%,reaching 92 g/hm^(2).Moreover,the organic matter and nitrogen in the soils were increased by WSc,which improved the growth conditions of *** obvious growth inhibition was observed in either the pot or field ***,WSC is a promising chelating agent for mobilizing Pb in ***,WSC can be potentially used to boost ***-mediated phytoremediation of Pb-contaminatedfarmland.

关键词： Phytoremediation Pb-contaminated soil water-soluble chitosan Hylotelephium spectabile Fourier transform infrared spectroscopy

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Role of biochar in raising blue carbon stock capacity of salt marshes

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Pedosphere 2024年第1期34卷 19-22页

作者： Yuzhou HUANG Xi XIAO Ocean College Zhejiang UniversityZhoushan 316021China Key Laboratory of Marine Ecological Monitoring and Restoration Technologies of the Ministry of Natural resources of China Shanghai 201306China Donghai Laboratory Zhoushan 316021China Ocean Academy Zhejiang UniversityZhoushan 316021China Key Laboratory of watershed Non-point Source Pollution Control and water Eco-security of Ministry of water resources College of Environmental and Resources SciencesZhejiang UniversityHangzhou 310058China

Salt marshes are an important blue carbon ecosystem, with surprisingly fast carbon accumulation rates that are 40 times higher than those of terrestrial forests. In recent decades, salt marshes have suffered great degradation and loss all over the world. The idea to enhance carbon stock in salt marshes(so-called blue carbon) using biochar (so-called black carbon) has recently been proposed. Although experiments and observations remain limited, significant enhancements in soil organic carbon and plant growth have been documented in most case studies. However, due to the limited number of observations and their relatively short time window ranging from months to less than one year, there still exists a knowledge gap regarding the process, mechanism, and effect of biochar in enhancing carbon stock in salt marshes. Future research is urgently needed in the following perspectives:1) exploring the relationship between carbon stock enhancement efficiency and biochar properties, 2) optimizing the physical and chemical properties of biochar to boost its efficiency, and 3)studying the in-situ responses of complex carbon pools to biochar addition, especially under tidal conditions and over a longer period of time.

关键词： soil stock char

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Assessment of groundwater quantity, quality, and associated health risk of the Tano river basin, Ghana

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Acta Geochimica 2024年第2期43卷 325-353页

作者： Adwoba Kua-Manza Edjah Bruce Banoeng-Yakubo Anthony Ewusi Enoch Sakyi-Yeboah David Saka Clara Turetta Giulio Cozzi David Atta-Peters Larry Pax Chegbeleh water resources Research Centre Ghana Atomic Energy CommissionAccraGhana Earth Science department University of GhanaLegonAccraGhana Geological Engineering department University of Mines and TechnologyTarkwaGhana department of Statistics University of GhanaAccraLegonGhana Institute of Polar sciences National Research Council of ItalyVeniceItaly

In the Tano River Basin,groundwater serves as a crucial resource;however,its quantity and quality with regard to trace elements and microbiological loadings remain poorly understood due to the lack of groundwater logs and limited water *** study presents a comprehensive analysis of the Tano River Basin,focusing on three key ***,it investigated the aquifer hydraulic parameters and the results showed signiﬁcant spatial variations in borehole depths,yields,transmissivity,hydraulic conductivity,and speciﬁc *** boreholes were concentrated in the northeastern and southeastern zones,while geological formations,particu-larly the Apollonian Formation,exhibit a strong inﬂuence on borehole *** study identiﬁed areas with high transmissivity and hydraulic conductivity in the southern and eastern regions,suggesting good groundwater avail-ability and suitability for sustainable water ***-ondly,the research investigated the groundwater quality and observed that the majority of borehole samples fall within WHO(Guidelines for Drinking-water Quality,Environmental Health Criteria,Geneva,2011,***://***)***,some samples have pH levels below the standards,although the groundwater generally qualiﬁes as *** study further explores hydrochemical facies and health risk assessment,highlighting the dominance of Ca–HCO3 water *** element analysis reveals minimal health risks from most elements,with chromium(Cr)as the primary contributor to chronic health ***,this study has provided a key insights into the Tano River Basin’s hydrogeology and associated health *** outcome of this research has contributed to the broader understanding of hydrogeologi-cal dynamics and the importance of managing groundwater resources sustainably in complex geological environments.

关键词： Groundwater Unsupervised machine learning technique Hydrochemistry Aquifer hydraulic parameter Health risk

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Mapping soil organic matter in cultivated land based on multi-year composite images on monthly time scales

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Journal of Integrative Agriculture 2024年第4期23卷 1393-1408页

作者： Jie Song Dongsheng Yu Siwei Wang Yanhe Zhao Xin Wang Lixia Ma Jiangang Li State Key Laboratory of soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China Agricultural and Rural Bureau of Luanping County Luanping 068250China Chinese Academy of sciences University Beijing 100049China

Rapid and accurate acquisition of soil organic matter(SOM)information in cultivated land is important for sustainable agricultural development and carbon balance *** study proposed a novel approach to predict SOM with high accuracy using multiyear synthetic remote sensing variables on a monthly *** obtained 12 monthly synthetic Sentinel-2 images covering the study area from 2016 to 2021 through the Google Earth Engine(GEE)platform,and reflectance bands and vegetation indices were extracted from these composite *** the random forest(RF),support vector machine(SVM)and gradient boosting regression tree(GBRT)models were tested to investigate the difference in SOM prediction accuracy under different combinations of monthly synthetic *** showed that firstly,all monthly synthetic spectral bands of Sentinel-2 showed a significant correlation with SOM(P<0.05)for the months of January,March,April,October,and ***,in terms of single-monthly composite variables,the prediction accuracy was relatively poor,with the highest R^(2)value of 0.36 being observed in *** monthly synthetic environmental variables were grouped in accordance with the four quarters of the year,the first quarter and the fourth quarter showed good performance,and any combination of three quarters was similar in estimation *** overall best performance was observed when all monthly synthetic variables were incorporated into the ***,among the three models compared,the RF model was consistently more accurate than the SVM and GBRT models,achieving an R^(2)value of *** for band 12 in December,the importance of the remaining bands did not exhibit significant *** research offers a new attempt to map SOM with high accuracy and fine spatial resolution based on monthly synthetic Sentinel-2 images.

关键词： soil organic matter Sentinel-2 monthly synthetic images machine learning model spatial prediction

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Incorporation of source contributions to improve the accuracy of soil heavy metal mapping using small sample sizes at a county scale

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Pedosphere 2024年第1期34卷 170-180页

作者： Jie SONG Xin WANG Dongsheng YU Jiangang LI Yanhe ZHAO Siwei WANG Lixia MA State Key Laboratory of soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China Chinese Academy of sciences University Beijing 100049China Agricultural and Rural Bureau of Luanping County Luanping 068250China

Estimating heavy metal(HM) distribution with high precision is the key to effectively preventing Chinese medicinal plants from being polluted by the native soil. A total of 44 surface soil samples were gathered to detect the concentrations of eight HMs(As, Hg, Cu, Cr, Ni, Zn, Pb, and Cd) in the herb growing area of Luanping County, northeastern Hebei Province, China. An absolute principal component score-multiple linear regression(APCS-MLR) model was used to quantify pollution source contributions to soil HMs. Furthermore, the source contribution rates and environmental data of each sampling point were simultaneously incorporated into a stepwise linear regression model to identify the crucial indicators for predicting soil HM spatial distributions. Results showed that 88% of Cu, 72% of Cr, and 72% of Ni came from natural sources;50% of Zn, 49% of Pb, and 59% of Cd were mainly caused by agricultural activities;and 44% of As and 56% of Hg originated from industrial activities. When three-type(natural, agricultural, and industrial) source contribution rates and environmental data were simultaneously incorporated into the stepwise linear regression model, the fitting accuracy was significantly improved and the model could explain 31%–86% of the total variance in soil HM concentrations. This study introduced three-type source contributions of each sampling point based on APCS-MLR analysis as new covariates to improve soil HM estimation precision, thus providing a new approach for predicting the spatial distribution of HMs using small sample sizes at the county scale.

关键词： absolute principal component score-multiple linear regression Chinese herbal medicine influencing factors spatial distribution stepwise multiple regression

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Parkland trees on smallholder farms ameliorate soil physical-chemical properties in the semi-arid area of Tigray,Ethiopia

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Journal of Arid Land 2024年第1期16卷 1-13页

作者： Selam LJALEM Emiru BIRHANE Kassa TEKA Daniel H BERHE department of Land resources Management and Environmental Protection College of Dryland Agriculture and Natural ResourcesMekelle UniversityMekelle 231Ethiopia Institute of Climate and Society Mekelle UniversityMekelle 231Ethiopia Faculty of Environmental sciences and Natural Resource Management Norwegian University of Life Sciences(NMBU)Ås 1432Norway department of Natural resources Management Adigrat UniversityAdigrat 50Ethiopia

Proposed agroforestry options should begin with the species that farmers are most familiar with,which would be the native multipurpose trees that have evolved under smallholder farms and socioeconomic *** African birch(Anogeissus leiocarpa(DC.)Guill.&Perr.)and pink jacaranda(Stereospermum kunthianum Cham.)trees are the dominant species in the agroforestry parkland system in the drylands of Tigray,*** farmers highly value these trees for their multifunctional uses including timber,firewood,charcoal,medicine,*** trees also could improve soil ***,the amount of soil physical and chemical properties enhanced by the two species must be determined to maintain the sustainable conservation of the species in the parklands and to scale up to similar agroecological ***,we selected twelve isolated trees,six from each species that had similar dendrometric characteristics and were growing in similar environmental *** divided the canopy cover of each tree into three radial distances:mid-canopy,canopy edge,and canopy gap(control).At each distance,we took soil samples from three different *** collected 216 soil samples(half disturbed and the other half undisturbed)from each canopy position and soil *** density(BD),soil moisture content(SMC),soil organic carbon(SOC),total nitrogen(TN),available phosphorus(AP),available potassium(AK),p H,electrical conductivity(EC),and cation exchange capacity(CEC)were *** revealed that soil physical and chemical properties significantly improved except for soil texture and EC under both species,CEC under ***,and soil p H under ***,all the studied soils were improved under both species canopy as compared with canopy ***,TN,AP,and AK under canopy of these trees were respectively 24.1%,11.1%,55.0%,and 9.3% higher than those soils under *** two parkland agroforestry species significantly enhanced soil fertility near the canopy of top

关键词： agroforestry bulk density carbon stock dispersed tree soil texture tree canopy

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An integrated land change modeler and distributed hydrological model approach for quantifying future urban runoff dynamics

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Science China Earth sciences 2024年第10期67卷 3288-3301页

作者： Asad Hussain MUHAMMAD Waseem MUHAMMAD Ajmal MUHAMMAD Atiq Ur Rehman Tariq MUHAMMAD Jiaqing XIAO Tao YANG Pengfei SHI Institute for Disaster Risk Management School of Geographical Science Nanjing University of Information Science and Technology Centre of Excellence in water resources Engineering University of Engineering and Technology The National Key Laboratory of water Disaster Prevention Hohai University Yangtze Institute for Conservation and Development Hohai University College of Hydrology and water resources Hohai University department of Agricultural Engineering Faculty of Civil Agricultural and Mining Engineering University of Engineering and Technology

Climate and land use changes have a significant impact on the runoff generation process in urban environments, and these effects could get worse in the future. The combined contributions of these changes have increased the risk of ***, there is a need for integrated modeling to better understand the runoff variability, especially in small urban catchments. To quantify and separate the effects of land-use changes and climate change on the hydrological response of urban catchments with a distributed hydrological model(Storm water Management Model, SWMM), this study introduces a new integrated approach based on the Machine Learning based land use change modeler and climate change scenarios under *** on supervised classification and land use change model analysis, accumulated impervious area increase from 22%(in2023) to 33%(in 2060) was observed in the study area. Furthermore, integrating this projected increase in imperviousness with future climate change into SWMM by considering three different scenarios i.e., S1(Climate Change), S2(Combined Land Use and Climate Change), and S3(Land use Change) resulted that climate change could cause an increase in runoff from 13.2% to18.3% in peak runoff and the contribution of land use could range from 9.1% to 18.6%. Similarly, in response to the coupled effects of climate and land-use change, the runoff would likely change from 24.53% to 39.66%. Conclusively, the study showed that despite climate change, intensive urban development by the substitution of impervious surfaces could also have a severe impact on the microclimate and hydrology of small catchments. Lastly, this study could provide a way forward for the future planning and management of water resources in small catchments which could be extended to larger catchments.

关键词： Climate change Land-use modeling Runoff simulation Percent Imperviousness TerrSet

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Organic-inorganic fertilization promotes paddy soil macroaggregate organic carbon accumulation associated with key bacterial populations in subtropical China

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Pedosphere 2024年第05期 941-950页

作者： Jinhua ZHAO Lin CHEN Guixiang ZHOU Fang LI Jiabao ZHANG Congzhi ZHANG Donghao MA Biao FENG Fengqiu Experimental Station of National Ecosystem Research Network of China State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil Science Chinese Academy of Sciences University of Chinese Academy of sciences College of resources and Environment Henan Agricultural University

Macroaggregate organic carbon (Macro-OC) accumulation in paddy soils is of great significance in promoting multiple agroecosystem services. However,the effects of different fertilization practices on Macro-OC accumulation in paddy soils at the regional scale have not been comprehensively ***, we conducted long-term fertilization field experiments at four sites, Taoyuan, Wangcheng, Jinxian, and Suzhou, in the subtropical area of China to reveal the effects of inorganic and organic-inorganic (OIF) fertilization on Macro-OC accumulation and its relationships with important microbial traits (the abundance ratio of GH48:cbhI genes and the richness of keystone bacterial taxa) in paddy soils. The results showed that long-term fertilization (particularly OIF) significantly increased the content of Macro-OC, which mainly consisted of particulate organic carbon (C). Organic-inorganic fertilization decreased the percentage of O-alkyl C but increased the percentages of alkyl, aromatic, and phenolic C. Organic-inorganic fertilization promoted the abundance of the bacterial cellulose-degrading gene GH48 retrieved from macroaggregates. The orders Anaerolineales, Bacillales, and Clostridiales were identified as keystone bacterial taxa in macroaggregates and were significantly correlated with the physical fraction and chemical structure of Macro-OC. Structural equation modeling revealed that fertilization-induced changes in soil pH and C:N ratio affected the richness of Anaerolineales, Bacillales, and Clostridiales, which was strongly associated with the increase of percentages of aromatic and phenolic C and further facilitated Macro-OC accumulation. Together, these results suggested that OIF promoted Macro-OC accumulation associated with key bacterial populations in paddy soils. The results provide an important basis for boosting soil C accrual in the subtropical rice-growing areas.

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Tensile strength behavior of cement-stabilized dredged sediment reinforced by polypropylene fiber

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Frontiers of Structural and Civil Engineering 2024年第3期18卷 380-392页

作者： Lei LANG Jiangshan LI Xin CHEN Lijun HAN Ping WANG State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil MechanicChinese Academy of SciencesWuhan 430071China Hubei Provincial Key Laboratory of Contaminated Sludge and soil Science and Engineering Wuhan 430071China University of Chinese Academy of sciences Beijing 100049China

This study evaluated the feasibility of using polypropylene fiber(PF)as reinforcement in improving tensile strength behavior of cement-stabilized dredged sediment(CDS).The effects of cement content,water content,PF content and length on the tensile strength and stress–strain behavioral evolutions were evaluated by conducting splitting tensile strength ***,the micro-mechanisms characterizing the tensile strength behavior inside PF-reinforced CDS(CPFDS)were clarified via analyzing macro failure and microstructure *** results indicate that the highest tensile strengths of 7,28,60,and 90 d CPFDS were reached at PF contents of 0.6%,1.0%,1.0%,and 1.0%,exhibiting values 5.96%,65.16%,34.10%,and 35.83%higher than those of CDS,***,3 mm,PF of showed the best reinforcement *** CPFDS exhibited obvious tensile strain-hardening characteristic,and also had better ductility than *** mix factor(C_(C)^(a)/C_(w)^(b))and time parameter(q_(t0)(t))of CDS,and the reinforcement index(k_(t-PF))of CPFDS were used to establish the tensile strength prediction models of CDS and CPFDS,considering multiple *** PF“bridge effect”and associated cementation-reinforcement coupling actions inside CPFDS were mainly responsible for tensile strength behavior *** key findings contribute to the use of CPFDS as recycled engineering soils.

关键词： dredged sediment chemical stabilization fiber reinforcement splitting tensile strength micro-mechanisms

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Optimizing nitrogen management in the food system for sustainable development: a case study of Quzhou County

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Frontiers of Agricultural Science and Engineering 2024年第1期11卷 113-121页

作者： Fanlei MENG Menru WANG Yong HOU Lin MA Wenqi MA Xuejun LIU Fusuo ZHANG Wen XU College of resources and Environmental sciences National Academy of Agriculture Green DevelopmentState Key Laboratory of Nutrient Use and ManagementNational Observation and Research Station of Agriculture Green Development(QuzhouHebei)China Agricultural UniversityBeijing 100193China water Systems and Global Change Group Wageningen University&Research6700 AA Wageningenthe Netherlands Environmental Systems Analysis Group Wageningen University&Research6708 PB Wageningenthe Netherlands Key Laboratory of Agricultural water resources Hebei Key Laboratory of Soil EcologyCenter for Agricultural Resources ResearchInstitute of Genetic and Developmental BiologyChinese Academy of SciencesShijiazhuang 050021China College of resources and Environment Science Hebei Agricultural UniversityBaoding 071001China

Nitrogen(N) is an essential nutrient for food production. The rapid increase in population requires high inputs of N to meet the growing food demand. If not managed well, the substantial loss of N from the food system has multiple impacts on grain yield, air and water pollution, and the economic benefits of agricultural. Multi-objective(food security, environmental sustainability and economic sustainability) synergistic consideration of N management in the food system is still lacking. This study employed strategies for optimizing N management in the food system, using Quzhou County as a typical example on the North China Plain. Firstly, a food chain approach was adopted to understand drivers and reasons behind N losses from the food ***, a top-down approach was used to define multi-objective N management, taking into consideration food security, environmental sustainability and economic sustainability. Multi-objective N management aims to reduce N losses to the environment and increase N use efficiencies,while simultaneously increasing yields and economic benefits. Thirdly, 3R(reduce-retain-recycle) N management strategies were identified for specific crops and animals through a bottom-up approach and then analyzed the potential of these strategies to achieve the multi-objectives. Finally, there is a discussion of how to engage different stakeholders to promote the technologies implementation. This study provides new insights into the synergistic achievement of multi-objective N management in the food system and the development of environmentally-friendly agriculture.

关键词： Agriculture green development food system multi-objective nitrogen management

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