Suchergebnisse - "Veloso GV"

The silent risks of urban lead and its impactful consequences in Boquira, Brazil.

Autoren: de Castro Paes É de Arruda DL de Lima Camêlo D et al.

Quelle: Environmental geochemistry and health [Environ Geochem Health] 2025 Oct 15; Vol. 47 (11), pp. 498. Date of Electronic Publication: 2025 Oct 15.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Kluwer Academic Publishers Country of Publication: Netherlands NLM ID: 8903118 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2983 (Electronic) Linking ISSN: 02694042 NLM ISO Abbreviation: Environ Geochem Health Subsets: MEDLINE

MeSH-Schlagworte: Lead*/analysis , Lead*/toxicity , Soil Pollutants*/analysis , Soil Pollutants*/toxicity, Brazil ; Humans ; Environmental Monitoring ; Cities ; Mining ; Risk Assessment ; Environmental Exposure

Soil Erosion Prediction in Western Kazakhstan Through Deep Learning with a Neural Network Approach to LS-Factor Analysis.

Autoren: Seitkazy, Moldir Beisekenov, Nail Rakhimova, Moldir et al.

Quelle: Journal of the Indian Society of Remote Sensing; Apr2025, Vol. 53 Issue 4, p1215-1226, 12p

Assessing how Grazing Intensity Affects the Spatial Distribution of Soil Properties.

Autoren: Barrena-González, Jesús Antoneli, Valdemir Contador, J Francisco Lavado et al.

Quelle: Earth Systems & Environment; Dec2025, Vol. 9 Issue 4, p2663-2682, 20p

Changes in Vegetation Cover Influence Organic Carbon Sequestration Potential in the Nigerian Landscape.

Autoren: Tobore, Anthony Olamiji Nkwunonwo, Ugonna C Oyerinde, Ganiyu et al.

Quelle: Remote Sensing in Earth Systems Sciences; Dec2025, Vol. 8 Issue 4, p1145-1160, 16p

Edaphic gradient shapes the structure and composition of vegetation in the forest-cerrado ecotone in north of minas gerais, Brazil.

Autoren: de Souza, Aline Parreira Corrêa, Guilherme Resende Arruda, Daniel Meira et al.

Quelle: Brazilian Journal of Botany / Revista Brasileira de Botânica; Dec2024, Vol. 47 Issue 4, p1147-1161, 15p

Assessing the performance of machine learning models for predicting soil organic carbon variability across diverse landforms.

Autoren: Dadgar, Maryam Faramarzi, Seyedeh Ensieh

Quelle: Environmental Earth Sciences; Dec2024, Vol. 83 Issue 23, p1-14, 14p

Schlagwörter: MACHINE learning, REMOTE sensing, SUSTAINABILITY, REMOTE-sensing images, RANDOM forest algorithms

Mapping soil organic carbon stock through remote sensing tools for monitoring iron minelands under rehabilitation in the Amazon.

Autoren: da Silva Junior, Ediu Carlos Ribeiro, Paula Godinho Martins, Gabriel Caixeta et al.

Quelle: Environment, Development & Sustainability; Nov2024, Vol. 26 Issue 11, p27685-27704, 20p

Schlagwörter: DIGITAL maps, DIGITAL mapping, ENVIRONMENTAL mapping, REHABILITATION technology, IRON mining

Mine tailings dams' failures: serious environmental impacts, remote solutions.

Autoren: Garcia, Flávia Ferreira Camilo Cotrim, Carlos Filipe Caramori, Samantha Salomão et al.

Quelle: Environment, Development & Sustainability; Aug2025, Vol. 27 Issue 8, p18179-18201, 23p

Schlagwörter: DAM failures, ENVIRONMENTAL impact analysis, RISK management in business, MINE waste, SAFETY, RETROSPECTIVE studies, FAILURE analysis

Spatiotemporal prediction of soil organic carbon density in Europe (2000–2022) using earth observation and machine learning.

Autoren: Tian, Xuemeng de Bruin, Sytze Simoes, Rolf et al.

Quelle: PeerJ; Jul2025, p1-56, 56p

Schlagwörter: MACHINE learning, RANDOM forest algorithms, REMOTE sensing, SPATIOTEMPORAL processes, SOIL mapping, HISTOSOLS, CONFIDENCE intervals

Geografische Kategorien: EUROPE

Impact of texture cutting tools on sustainable machining methods: a review.

Autoren: Singh, Raminder Singh, Manjeet Singh, Rupinder

Quelle: International Journal on Interactive Design & Manufacturing; May2025, Vol. 19 Issue 5, p3121-3137, 17p

AutoRA: an innovative algorithm for automatic delineation of reference areas in support of smart soil sampling and digital soil twins.

Autoren: Rodrigues, Hugo Ceddia, Marcos Bacis Vasques, Gustavo Mattos et al.

Quelle: Frontiers in Soil Science; 2025, p1-22, 22p

Schlagwörter: SOIL sampling, DIGITAL soil mapping, ECOLOGICAL zones, COST effectiveness, ALGORITHMS

Geografische Kategorien: BRAZIL, RIO de Janeiro (Brazil)

Laser scanner technology in the assessment of mining tailings surface changes and rehabilitation interventions after the Fundão dam rupture, Brazil.

Autoren: dos Santos, Eliana Elizabet Francelino, Márcio Rocha Siqueiraa, Rafael Gomes et al.

Quelle: Environmental Earth Sciences; May2024, Vol. 83 Issue 10, p1-13, 13p

Schlagwörter: OPTICAL scanners, GLOBAL Positioning System, TECHNOLOGY assessment, MEDICAL rehabilitation, DAM failures, RIVER channels, AIRBORNE lasers

Geografische Kategorien: BRAZIL

Prediction of soil organic carbon stock combining Sentinel-1 and Sentinel-2 images in the Zoige Plateau, the northeastern Qinghai-Tibet Plateau.

Autoren: Lei, Junjie Zeng, Changli Zhang, Lv et al.

Quelle: Ecological Processes; 5/1/2024, Vol. 13 Issue 1, p1-12, 12p

Schlagwörter: OPTICAL remote sensing, CARBON in soils, DEVELOPING countries, CARBON cycle, RESTORATION ecology, REMOTE-sensing images, CLIMATE sensitivity, MACHINE learning

Firma/Körperschaft: SENTINEL-1 (Artificial satellite)

Urban river recovery: a systematic review on the effectiveness of water clean-up programs.

Autoren: Silva, Caroline Ferreira da Pereira, Elisabete Alves Carvalho, Mayara de Almeida Ribeiro et al.

Quelle: Environmental Science & Pollution Research; Apr2024, Vol. 31 Issue 18, p26355-26377, 23p

Schlagwörter: RESTORATION ecology, STREAM restoration, SEWAGE, INDUSTRIAL wastes, RIVER conservation, SUSTAINABLE urban development

Responses of soil aggregate stability to carbon and nitrogen under precipitation gradients in a desert steppe.

Autoren: Cui, Yuanyuan Hou, Dongjie Wang, Zhongwu et al.

Quelle: Journal of Soils & Sediments: Protection, Risk Assessment, & Remediation; Mar2024, Vol. 24 Issue 3, p1071-1081, 11p

Schlagwörter: SOIL structure, STEPPES, SOIL temperature, SOIL moisture, DESERTS, SHAPE memory alloys

Geografische Kategorien: INNER Mongolia (China)

Five years after the collapse of the Fundão Dam: lessons from temporal monitoring of chemistry and acute toxicity.

Autoren: de Figueiredo Eufrasio Pauly, Guacira Perina, Fernando Cesar Yamamoto, Flávia Yoshie et al.

Quelle: Environmental Monitoring & Assessment; Mar2024, Vol. 196 Issue 3, p1-21, 21p

Schlagwörter: DAM failures, INDUCTIVELY coupled plasma atomic emission spectrometry, CLADOCERA, DAPHNIA, WATERSHEDS

On the rocks: Biogeography and floristic identity of rocky ecosystems in eastern South America.

Autoren: Azevedo, Luísa Zappi, Daniela Cristina de Oliveira, Daniela Melo Garcia et al.

Quelle: Journal of Systematics & Evolution; Mar2024, Vol. 62 Issue 2, p305-320, 16p

Schlagwörter: BIOGEOGRAPHY, PLANT communities, WILDLIFE conservation, RANDOM forest algorithms, PETROLOGY, ECOSYSTEMS, BIOMES

Geografische Kategorien: BRAZIL, SOUTH America

Lead effect on the morphophysiology of leaves and roots of Peltophorum dubium (Spreng.) Taub., a potential phytostabilizer.

Autoren: da Silva Paiva, W. de Araujo, M. A. Rosalem, P. F. et al.

Quelle: International Journal of Environmental Science & Technology (IJEST); Mar2024, Vol. 21 Issue 3, p2735-2746, 12p

Improved soil carbon stock spatial prediction in a Mediterranean soil erosion site through robust machine learning techniques.

Autoren: Mosaid, Hassan Barakat, Ahmed John, Kingsley et al.

Quelle: Environmental Monitoring & Assessment; Feb2024, Vol. 196 Issue 2, p1-23, 23p

Schlagwörter: SOIL erosion prediction, MACHINE learning, CARBON in soils, SUSTAINABILITY, SUPPORT vector machines

Geografische Kategorien: MOROCCO

Harnessing Hybridized Machine Learning Algorithms for Sustainable Smart Production: A Case Study of Solar PV Energy in China.

Autoren: Xu, Fangyi Wang, Jihong

Quelle: Journal of the Knowledge Economy; Mar2025, Vol. 16 Issue 1, p3214-3264, 51p