scispace - formally typeset
J

Jesús Rodrigo-Comino

Researcher at Facultad de Filosofía y Letras

Publications -  190
Citations -  4681

Jesús Rodrigo-Comino is an academic researcher from Facultad de Filosofía y Letras. The author has contributed to research in topics: Erosion & Surface runoff. The author has an hindex of 32, co-authored 156 publications receiving 2992 citations. Previous affiliations of Jesús Rodrigo-Comino include University of Málaga & University of Trier.

Papers
More filters
Journal ArticleDOI

Global evaluation of heavy metal content in surface water bodies: A meta-analysis using heavy metal pollution indices and multivariate statistical analyses

TL;DR: Results of ingestion and dermal pathways for adults and children in the current analyzed review showed that As is the major contaminant, and remediation techniques such as the introduction of aquatic phytoremediation plant species and adsorbents should be included in land management plans in order to reduce human risks.
Journal ArticleDOI

Soil erosion modelling: A global review and statistical analysis.

Pasquale Borrelli, +68 more
TL;DR: This database intends to support the upcoming country-based United Nations global soil-erosion assessment in addition to helping to inform soil erosion research priorities by building a foundation for future targeted, in-depth analyses.
Journal ArticleDOI

An economic, perception and biophysical approach to the use of oat straw as mulch in Mediterranean rainfed agriculture land

TL;DR: In this article, the effect of the use of oat straw cover on soil erosion was investigated in the Sierra de Enguera region of Peru. And the results showed an immediate effect on the straw mulches as in these plots the runoff (from 7.7 till 5.9%) and soil erosion (from 47 till 26 Mg ǫ n−m−1 y−1 n−y−1) was reduced already in the first year.
Journal ArticleDOI

GIS-based groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches.

TL;DR: Results show that the combination of remote sensing data and geographic information system (GIS) with new approaches can be used as a powerful tool in GWPM in arid and semi-arid areas.