检索结果-南通市图书馆

A review of ecological risk assessment and associated health risks with heavy metals in sediment from India

在线全文

学校读者我要写书评

暂无评论

International Journal of Sediment Research 2020年第5期35卷 516-526页

作者： Vinod Kumar Anket Sharma Shevita Pandita Renu Bhardwaj Ashwani Kumar Thukral artemi cerda Department of Botany Government Degree College Ramban State Key Laboratory of Subtropical Silviculture Zhejiang Agriculture & Forest University Department of Botany University of Jammu Department of Botanical and Environmental Sciences Guru Nanak Dev University Soil Erosion and Degradation Research Group Department of GeographyUniversity of Valencia

Heavy metal(HM) pollution in sediment is a serious concern particularly in developing nations,warranting an extensive survey to understand the current situation and propose possible remedial *** paper compiles the data of HMs cadmium(Cd),iron(Fe),cobalt(Co),manganese(Mn),arsenic(As),lead(Pb),chromium(Cr),copper(Cu),zinc(Zn) and nickel(Ni) in aquatic sediment from India from 1979 to *** was found that mean values of Cu,Co,Zn,Pb,As,and Cr in Indian sediment were high in comparison to the Australian Interim Sediment Quality Guidelines,World Surface Rock Average,and the Threshold Effect Level for freshwater *** activities,lithogenic factors,and sand intrusion are the main factors associated with HM pollution as observed using cluster analysis and principal component *** results of contamination indices indicate that HM contamination ranged from average to high,in the *** ecological risk assessment results showed that 11%HMs present very high *** cancer risk,due to the high contents of Cd,As,and Cr the ingestion pathway,showed high risk of cancer through food/water contaminated with *** source reduction of HMs in industrial effluents by effluent treatment plants,and plantation of phytoremediating rooted macrophytes in sediment may help in HM mitigation of the sediment.

关键词： Sediments Heavy metal pollution Ecological risk assessment Cancer risk Health risk

Modelling of piping collapses and gully headcut landforms: Evaluating topographic variables from different types of DEM

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Geoscience Frontiers 2021年第6期12卷 129-146页

作者： Alireza Arabameri Fatemeh Rezaie Subodh Chandra Pal artemi cerda Asish Saha Rabin Chakrabortty Saro Lee Department of Geomorphology Tarbiat Modares UniversityTehran 14117-13116Iran Geoscience Platform Research Division Korea Institute of Geoscience and Mineral Resources(KIGAM)124 Gwahak-ro Yuseong-guDaejeon 34132South Korea Department of Geophysical Exploration Korea University of Science and Technology217 Gajeong-ro Yuseong-guDaejeon 34113South Korea Department of Geography The University of BurdwanBardhamanWest Bengal 713104India Soil Erosion and Degradation Research Group Departament de GeografiaUniversitat de ValènciaBlasco Ibàñez2846010-ValenciaSpain

The geomorphic studies are extremely dependent on the quality and spatial resolution of digital elevation model(DEM)*** unique terrain characteristics of a particular landscape are derived from DEM,which are responsible for initiation and development of ephemeral *** the topographic features of an area significantly influences on the erosive power of the water flow,it is an important task the extraction of terrain features from DEM to properly research gully ***,topography is highly correlated with other geo-environmental factors ***,climate,soil types,vegetation density and floristic composition,runoff generation,which ultimately influences on gully ***,terrain morphometric attributes derived from DEM data are used in spatial prediction of gully erosion susceptibility(GES)*** this study,remote sensing-Geographic information system(GIS)techniques coupled with machine learning(ML)methods has been used for GES mapping in the parts of Semnan province,*** research focuses on the comparison of predicted GES result by using three types of DEM *** Land Observation satellite(ALOS),ALOS World 3D-30 m(AW3D30)and Advanced Space borne Thermal Emission and Reflection Radiometer(ASTER)in different *** further progress of our research work,here we have used thirteen suitable geo-environmental gully erosion conditioning factors(GECFs)based on the multi-collinearity *** methods of conditional inference forests(Cforest),Cubist model and Elastic net model have been chosen for modelling GES ***’s importance of GECFs was measured through sensitivity analysis and result show that elevation is the most important factor for occurrences of gullies in the three aforementioned ML methods(Cforest=21.4,Cubist=19.65 and Elastic net=17.08),followed by lithology and *** of the model’s result was performed through area under curve(AUC)and other statistical *** valid

关键词： Digital elevation model(DEM) Gully erosion susceptibility(GES) Advanced land observation satellite(ALOS) Cforest Cubist Elastic net

Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

在线全文

学校读者我要写书评

暂无评论

Geoscience Frontiers 2021年第2期12卷 505-519页

作者： Phuong Thao Thi Ngo Mahdi Panahi Khabat Khosravi Omid Ghorbanzadeh Narges Kariminejad artemi cerda Saro Lee Institute of Research and Development Duy Tan UniversityDa Nang550000Viet Nam Division of Science Education Kangwon National UniversityChuncheon-siGangwon-do24341Republic of Korea Geoscience Platform Division Korea Institute of Geoscience and Mineral Resources(KIGAM)124Gwahak-ro Yuseong-guDaejeon34132Republic of Korea Department of Watershed Management Engineering Sari Agricultural Science and Natural Resources UniversitySariIran Department of Geoinformatics–Z_GIS University of SalzburgSalzburg5020Austria Department of Watershed and Arid Zone Management Gorgan University of Agricultural Sciences and Natural ResourcesGorgan49189-434Iran Soil Erosion and Desertification Research Group Department of GeographyUniversity of ValenciaValenciaSpain Department of Geophysical Exploration Korea University of Science and Technology217 Gajeong-ro Yuseong-guDaejeon34113Republic of Korea

The identification of landslide-prone areas is an essential step in landslide hazard assessment and mitigation of landslide-related *** this study,we applied two novel deep learning algorithms,the recurrent neural network(RNN)and convolutional neural network(CNN),for national-scale landslide susceptibility mapping of *** prepared a dataset comprising 4069 historical landslide locations and 11 conditioning factors(altitude,slope degree,profile curvature,distance to river,aspect,plan curvature,distance to road,distance to fault,rainfall,geology and land-sue)to construct a geospatial database and divided the data into the training and the testing *** then developed RNN and CNN algorithms to generate landslide susceptibility maps of Iran using the training *** calculated the receiver operating characteristic(ROC)curve and used the area under the curve(AUC)for the quantitative evaluation of the landslide susceptibility maps using the testing *** performance in both the training and testing phases was provided by the RNN algorithm(AUC=0.88)than by the CNN algorithm(AUC=0.85).Finally,we calculated areas of susceptibility for each province and found that 6%and 14%of the land area of Iran is very highly and highly susceptible to future landslide events,respectively,with the highest susceptibility in Chaharmahal and Bakhtiari Province(33.8%).About 31%of cities of Iran are located in areas with high and very high landslide *** results of the present study will be useful for the development of landslide hazard mitigation strategies.

关键词： CNN RNN Deep learning Landslide Iran

Comparison of machine learning models for gully erosion susceptibility mapping

在线全文

学校读者我要写书评

暂无评论

Geoscience Frontiers 2020年第5期11卷 1609-1620页

作者： Alireza Arabameri Wei Chen Marco Loche Xia Zhao Yang Li Luigi Lombardo artemi cerda Biswajeet Pradhan Dieu Tien Bui Department of Geomorphology Tarbiat Modares UniversityTehranIran College of Geology&Environment Xi’an University of Science and TechnologyXi’an 710054China Key Laboratory of Coal Resources Exploration and Comprehensive Utilization Ministry of Land and ResourcesXi’an 710021China Shaanxi Provincial Key Laboratory of Geological Support for Coal Green Exploitation Xi’an 710054China Universita Degli Studi di Cagliari Dipartimento di Scienze Chimiche e Geologiche09042MonserratoCagliariItaly University of Twente Faculty of Geo-Information Science and Earth Observation(ITC)PO Box 217EnschedeAE 7500Netherlands Soil Erosion and Degradation Research Group Departament de GeografiaUniversitat de ValenciaBlasco Iba~nez2846010ValenciaSpain Centre for Advanced Modelling and Geospatial Information Systems(CAMGIS) Faculty of Engineering and Information TechnologyUniversity of Technology SydneyNew South WalesAustralia Department of Energy and Mineral Resources Engineering Sejong UniversityChoongmu-gwan209 Neungdong-ro Gwangjin-guSeoul05006Republic of Korea Institute of Research and Development Duy Tan UniversityDa Nang550000Viet Nam

Gully erosion is a disruptive phenomenon which extensively affects the Iranian territory,especially in the Northern provinces.A number of studies have been recently undertaken to study this process and to predict it over space and ultimately,in a broader national effort,to limit its negative effects on local *** focused on the Bastam watershed where 9.3%of its surface is currently affected by *** learning algorithms are currently under the magnifying glass across the geomorphological community for their high predictive ***,unlike the bivariate statistical models,their structure does not provide intuitive and quantifiable measures of environmental preconditioning *** cope with such weakness,we interpret preconditioning causes on the basis of a bivariate approach namely,Index of ***,we performed the susceptibility mapping procedure by testing three extensions of a decision tree model namely,Alternating Decision Tree(ADTree),Naive-Bayes tree(NBTree),and Logistic Model Tree(LMT).We dichotomized the gully information over space into gully presence/absence conditions,which we further explored in their calibration and validation *** the presence/absence information and associated factors identical,the resulting differences are only due to the algorithmic structures of the three models we *** differences are not significant in terms of performances;in fact,the three models produce outstanding predictive AUC measures(ADTree=0.922;NBTree=0.939;LMT=0.944).However,the associated mapping results depict very different patterns where only the LMT is associated with reasonable susceptibility *** is a strong indication of what model combines best performance and mapping for any natural hazard-oriented application.

关键词： Oil erosion GIS Alternating decision tree model Logistic model tree model

Soil Physical Quality of Citrus Orchards Under Tillage, Herbicide, and Organic Managements

在线全文

学校读者我要写书评

暂无评论

Pedosphere 2018年第3期28卷 463-477页

作者： Simone DI PRIMA Jesus RODRIGO-COMINO Agata NOVARA Massimo IOVINO Mario PIRASTRU Saskia KEESSTRA artemi cerda Dipartimento di Agraria Università degli Studi di Sassari Sassari 07100 Italy Instituto de Geomorfologia y Suelos Department of Geography Mdlaga University Campus of Teatinos sin Mdlaga 29071( Spain) Department of Physical Geography Trier University Trier D-54286( Germany) Dipartimento di Scienze Agrarie Alimentari e Forestali Universita degli Studi di Palermo Palermo 90128( Italy) Team Soil Water and Land Use Wageningen Environmental Research Wageningen UR Droevendaalsesteeg 3 Wageningen 6700 AA(The Netherlands) Civil Surveying and Environmental Engineering The University of Newcastle Callaghan 2308(Australia) Soil Erosion and Degradation Research Group Department of Geography Universitat de Valencia Valencia 46010( Spain)

Soil capacity to support life and to produce economic goods and services is strongly linked to the maintenance of good soil physical quality(SPQ). In this study, the SPQ of citrus orchards was assessed under three different soil managements, namely no-tillage using herbicides, tillage under chemical farming, and no-tillage under organic farming. Commonly used indicators, such as soil bulk density,organic carbon content, and structural stability index, were considered in conjunction with capacitive indicators estimated by the Beerkan estimation of soil transfer parameter(BEST) method. The measurements taken at the L'Alcoleja Experimental Station in Spain yielded optimal values for soil bulk density and organic carbon content in 100% and 70% of cases for organic farming. The values of structural stability index indicated that the soil was stable in 90% of cases. Differences between the soil management practices were particularly clear in terms of plant-available water capacity and saturated hydraulic conductivity. Under organic farming, the soil had the greatest ability to store and provide water to plant roots, and to quickly drain excess water and facilitate root *** practices adopted under organic farming(such as vegetation cover between the trees, chipping after pruning, and spreading the chips on the soil surface) improved the SPQ. Conversely, the conventional management strategies unequivocally led to soil degradation owing to the loss of organic matter, soil compaction, and reduced structural stability. The results in this study show that organic farming has a clear positive impact on the SPQ, suggesting that tillage and herbicide treatments should be avoided.

关键词： Beerkan estimation of soil transfer parameter capacitive indicator organic farming soil management soil quality assessment structural stability index

Woody plant taxonomic,functional,and phylogenetic diversity decrease along elevational gradients in Andean tropical montane forests:Environmental filtering and arrival of temperate taxa

在线全文

学校读者我要写书评

暂无评论

Plant Diversity 2024年第4期46卷 491-501页

作者： Guillermo Bañares-de-Dios Manuel J.Macía Gabriel Arellano Íñigo Granzow-de la cerda Julia Vega-álvarez Itziar Arnelas Carlos I.Espinosa Norma Salinas Luis Cayuela Departamento de Biología y Geología Física y Química InorgánicaUniversidad Rey Juan CarlosCalle Tulipán s/nMóstolesMadridES-28933Spain Departamento de Biología Área de BotánicaUniversidad Autónoma de MadridCalle Darwin 2MadridES-28049Spain Centro de Investigación en Biodiversidad y Cambio Global(CIBC-UAM) Universidad Autónoma de MadridCalle Darwin 2MadridES-28049Spain Ecology and Evolutionary Biology University of MichiganAnn ArborMI 48109USA Oikobit LLC ***AlbuquerqueNM87120USA Real Jardín Botánico–CSIC Plaza Murillo 2MadridES-28014Spain Departamento de Biología Animal EcologíaParasitologíaEdafología y Química AgrícolaUniversidad de SalamancaCalle Donantes de Sangre s/nSalamancaES-37007Spain Departamento de Biodiversidad Ecología y EvoluciónUniversidad Complutense de MadridCalle JoséAntonio Nováis 12Ciudad UniversitariaES-28040Spain Departamento de Ciencias Biológicas y Agropecuarias Universidad Técnica Particular de LojaA.P.11-01-608 LojaEcuador Sección Química Pontificia Universidad Católica del PerúA.P.Lima 32LimaPeru ECI School of Geography and EnvironmentUniversity of OxfordOX13QYOxfordshireUnited Kingdom Instituto de Investigación en Cambio Global(IICG-URJC) Universidad Rey Juan CarlosCalle Tulipán s/nMóstolesMadridES-28933Spain

Mountains are paramount for exploring biodiversity patterns due to the mosaic of topographies and climates encompassed over short *** research has traditionally focused on taxonomic diversity when investigating changes along elevational gradients,but other facets should be *** first time,we simultaneously assessed elevational trends in taxonomic,functional,and phylogenetic diversity of woody plants in Andean tropical montane forests and explored their underlying ecological and evolutionary *** investigation covered four transects(traversing ca.2200 m a.s.l.) encompassing 114 plots of 0.1 ha across a broad latitudinal range(ca.10°).Using Hill numbers to quantify abundance-based diversity among 37,869 individuals we observed a consistent decrease in taxonomic,functional,and phylogenetic diversity as elevation increased,although the decrease was less pronounced for higher Hill *** exception was a slight increase in phylogenetic diversity when dominant species were *** decrease in taxonomic and functional diversity might be attributed to an environmental filtering process towards highlands,where the increasingly harsher conditions exclude species and functional ***,the differences in steepness decrease between Hill orders suggest that rare species disproportionately contribute to functional *** phylogenetic diversity the shifting elevational trend between Hill orders indicates a greater than previously considered influence in central Andean highlands of tropical lowlands originated species with strong niche conservatism relative to distantly related temperate *** could be explained by a decreasing presence and abundance of temperate,extratropical taxa towards the central Andes relative to northern or southern Andes,where they are more prevalent.

关键词： Altitudinal gradients Andes Environmentalﬁltering Out of the Tropical Lowlands Functional rarity Tropical Niche Conservatism

Stability analysis for time delay control of nonlinear systems in discrete-time domain with a standard discretisation method

在线全文

学校读者我要写书评

暂无评论

Control Theory and Technology 2020年第1期18卷 92-106页

作者： Jinoh LEE Gustavo A.MEDRANO-cerda Je Hyung JUNG Advanced Robotics Istituto Italian.di TecnologiaVia Morego 30Genoa16163Italy Tecnalia Research and Innovation Mikeletegi Pasealekua1-3E-20009Donostia-San SebastianSpain

This paper provides stability analysis results for discretised time delay control(TDC)as implemented in a sampled data system with the standard form of zero-order *** first substantiate stability issues in discrete-time TDC using an example and propose sufficient stability criteria in the sense of *** parameters significantly affecting the overall system stability are the sampling period,the desired trajectory and the selection of the reference model dynamics.

关键词： Time delay control(TDC) discretisation stability analysis zero-order hold

A realistic topological p-n junction at the Bi2Se3 （0001） surface based on planar twin boundary defects

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Nano Research 2017年第5期10卷 1784-1793页

作者： Hugo Aramberri M. Carmen Munoz Jorge I. cerda Instituto de Ciencia de Materiales de Madrid (ICMM-CSIC) Cantoblanco Madrid 28049 Spain

We propose a realistic topological p-n junction （TPNJ） by matching two Bi2Se3 （0001） slabs with opposite arrangements of planar twin boundary defects. The atomistic modeling of such a device leads to dislocation defects in the hexagonal lattice in several quintuple layers. Nevertheless, total energy calculations reveal that the interface relaxes, yielding a smooth geometrical transition that preserves the nearest-neighbors fcc-type geometry throughout these defect layers. The electronic, magnetic, and transport properties of the junction have then been calculated at the ab initio level under open boundary conditions, i.e., employing a thin-film geometry that is infinite along the electron transport direction. Indeed, a p-n junction is obtained with a built-in potential as large as 350 meV. The calculations further reveal the spin texture across the interface with unprecedented detail. As the main result, we obtain non-negligible transmission probabilities around the F point, which involve an electron spin-flip process while crossing the interface.

关键词： topological insulators p-n junctions spintronics electronic devices twin boundaries

Genomic regions underlying agronomic traits in linseed(Linum usitatissimum L.) as revealed by association mapping

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Integrative Plant Biology 2014年第1期56卷 75-87页

作者： Braulio J.Soto-cerda Scott Duguid Helen Booker Gordon Rowland Axel Diederichsen Sylvie Cloutier Department of Plant Science University of Manitoba 66 Dafoe Road Cereal Research Center Agriculture and Agri-Food Canada 195 Dafoe Road Morden Research Station Agriculture and Agri-Food Canada 101 Route 100 Unit 100 Morden Department of Plant Sciences College of Agriculture and Bioresources University of Saskatchewan 51 Campus Drive Plant Gene Resources of Canada Agriculture and Agri-Food Canada 107 Science Place

The extreme climate of the Canadian Prairies poses a major chal enge to improve yield. Although it is possible to breed for yield per se, focusing on yield-related traits could be advantageous because of their simpler genetic architecture. The Canadian flax core col ection of 390 accessions was genotyped with 464 simple sequence repeat markers, and phenotypic data for nine agronomic traits including yield, bol s per area, 1,000 seed weight, seeds per bol , start of flowering, end of flowering, plant height, plant branching, and lodging col ected from up to eight environments was used for association mapping. Based on a mixed model （principal component analysis （PCA） t kinship matrix （K））, 12 significant marker-trait associations for six agronomic traits were identi-fied. Most of the associations were stable across environments as revealed by multivariate analyses. Statistical simulation for five markers associated with 1000 seed weight indicated that the favorable al eles have additive effects. None of the modern cultivars carried the five favorable al eles and the maximum number of four observed in any accessions was mostly in＆amp;nbsp;breeding lines. Our results confirmed the complex genetic architecture of yield-related traits and the inherent difficulties associated with their identification while il ustrating the potential for improvement through marker-assisted selection.

关键词： Linum usitatissimum marker-assisted selection