Lorena Salgado

ORCID: 0000-0001-7217-514X
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About
Contact & Profiles
Research Areas
  • Heavy metals in environment
  • Geochemistry and Geologic Mapping
  • Soil Geostatistics and Mapping
  • Clay minerals and soil interactions
  • Fire effects on ecosystems
  • Environmental Justice and Health Disparities
  • Mercury impact and mitigation studies
  • Electrokinetic Soil Remediation Techniques
  • Geological Modeling and Analysis
  • Heavy Metal Exposure and Toxicity
  • Business, Education, Mathematics Research
  • Atmospheric and Environmental Gas Dynamics
  • Coal and Its By-products
  • Image Processing and 3D Reconstruction
  • Regional Development and Innovation
  • Mining and Resource Management
  • Business, Innovation, and Economy
  • Mineral Processing and Grinding
  • Remote Sensing and LiDAR Applications
  • Quality and Supply Management
  • Environmental and Ecological Studies
  • Engineering and Information Technology
  • Coal Combustion and Slurry Processing

Universidad de Oviedo
2020-2025

Soil organic carbon (SOC) is essential for maintaining ecosystem health, and its depletion widely recognized as a key indicator of soil degradation. Activities such mining wildfire disturbances significantly intensify degradation, leading to quantitative qualitative declines in SOC. Accurate SOC monitoring critical, yet traditional methods are often costly time-intensive. Advances technologies like Unmanned Aerial Vehicles (UAVs) satellite remote sensing (SRS) now offer efficient scalable...

10.3390/land14020377 article EN cc-by Land 2025-02-11

Abstract Wildfires have a significant impact on Soil Organic Carbon (SOC) content and fractionation. Here we used Diffuse Reflectance Spectroscopy (DRS) Machine Learning (ML) algorithms, particularly decision tree-based ones, to assess post-wildfire changes in labile, removable, recalcitrant SOC fractions across six distinct areas with varying wildfire recurrence levels. Once spectral data had been acquired by DRS, the transformation of raw through first second derivatives enhanced...

10.1007/s41748-024-00564-0 article EN cc-by Earth Systems and Environment 2025-01-07

Phytoremediation is a cost-effective nature-based solution for brownfield reclamation. The choice of phytoextraction or phytostabilization strategies highly relevant when planning full-scale treatments. A suitable approach to identify such species involves the evaluation plants that grow spontaneously on contaminated sites. Here, we sought determine phytoremediation potential three spontaneous plant species, namely trees Acer pseudoplatanus L (A. pseudoplatanus) and Betula celtiberica Rothm....

10.1007/s11356-023-26968-5 article EN cc-by Environmental Science and Pollution Research 2023-04-28

Abstract Mining is a cornerstone of the productive system, particularly in sectors, such as renewable energy and electronic equipment production, where its significance anticipated to grow coming years. Aligned with principles Nature-Based Solutions Zero Waste policies, recycling mining waste soil amendments could concurrently restore degraded areas reduce disposal waste. In this context, we aimed remediate post-mining primarily impacted by heavy metal pollution using an alkaline generated...

10.1007/s10163-024-02013-6 article EN cc-by Journal of Material Cycles and Waste Management 2024-06-28

In the context of soil pollution, plants suffer stress when exposed to extreme concentrations potentially toxic elements (PTEs). The alterations caused by such stressors can be monitored multispectral imagery in form vegetation indices, which inform pollution management strategies. Here we combined geochemistry and remote sensing techniques offer a preliminary assessment vast abandoned spoil heap surroundings La Soterraña mining site (Asturias, Spain). To study distribution PTEs over time,...

10.3390/ijgi9120739 article EN cc-by ISPRS International Journal of Geo-Information 2020-12-10

Traditional methods to acquire (geo)chemical data of Soil Organic Carbon (SOC) in soil rely on manual sampling, time-consuming and laborious chemical analyses, subsequent mapping by geostatistical interpolation methods. In this study, we propose the use UAV-RS Sentinel-2 images, still partially supported field for assessing different fractions SOC using a regression study through Machine Learning (ML) techniques. This approach is exemplified postmining degraded soils vast former coal-mining...

10.5194/egusphere-egu24-1286 preprint EN 2024-03-08

Hydrothermal carbonization (HTC) at temperatures of 150-250°C and self-generated pressures 1−5 MPa is an efficient technology to convert wet biomass wastes into stable carbon-rich solids (hydrochars) with great potential for energy production/storage, soil amendment, sustainable construction, adsorption, catalysis, etc., within a circular economy framework. The different composition the residues, impact operating conditions diversity reactions that take place during HTC...

10.5194/egusphere-egu24-16746 preprint EN 2024-03-11

D. Baragaño1, C. Sierra2, B. Fernández1, J. Menéndez-Aguado1, L. Salgado1, R. Forján1, J.R. Gallego1 1University of Oviedo (SPAIN) 2University León

10.21125/inted.2020.0240 article EN INTED proceedings 2020-03-01
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