THIS STUDY ADDRESSES THE IMPORTANCE OF CONDUCTING MASS MOVEMENT SUSCEPTIBILITY MAPPING AND HAZARD ASSESSMENT USING QUANTITATIVE TECHNIQUES, INCLUDING MACHINE LEARNING, IN THE NORTHERN LIMA COMMONWEALTH (NLC). A PREVIOUS EXPLORATION OF THE TOPOGRAPHIC VARIABLES REVEALED A HIGH CORRELATION AND MULTICOLLINEARITY AMONG SOME OF THEM, WHICH LED TO DIMENSIONALITY REDUCTION THROUGH A PRINCIPAL COMPONENT ANALYSIS (PCA). SIX SUSCEPTIBILITY MODELS WERE GENERATED USING WEIGHTS OF EVIDENCE, LOGISTIC REGRESSION, MULTILAYER PERCEPTRON, SUPPORT VECTOR MACHINE, RANDOM FOREST, AND NAIVE BAYES METHODS TO PRODUCE QUANTITATIVE SUSCEPTIBILITY MAPS AND ASSESS THE HAZARD ASSOCIATED WITH TWO SCENARIOS: THE FIRST BEING EL NIÑO PHENOMENON AND THE SECOND BEING AN EARTHQUAKE EXCEEDING 8.8 MW. THE MAIN FINDINGS INDICATE THAT MACHINE LEARNING MODELS EXHIBIT EXCELLENT PREDICTIVE PERFORMANCE FOR THE PRESENCE AND ABSENC...

Los glaciares de rocas (GR), son una de las formas geomorfológicas más importantes de los sistemas criosféricos de los Andes Tropicales Peruanos, debido a que se espera que en el futuro su aporte hídrico aumente mientras que la de los glaciares libres de detritos (también conocidos como limpios o blancos) disminuyan en un contexto de cambio climático, sin embargo, sus características locales son aún desconocidas. El objetivo de esta investigación fue determinar la dinámica de los GR en los Andes Tropicales del Perú, para esto se usaron tecnologías de información geográfica, como sistemas de información geográfica, percepción remota e internet con la finalidad de identificar, caracterizar y determinar los factores que influyen en la presencia de los GR, la distribución espacial se realizó usando imágenes de alta resolución espacial de proyectos espaciales como Google ...

ENVIRONMENTAL POLLUTION FROM MICROPLASTICS (MPS), AN ANTHROPOGENICALLY MEDIATED MENACE TO THE BIOSPHERE, IS A GLOBAL CONCERN. THIS RESEARCH CONDUCTED A BIBLIOMETRIC ANALYSIS OF MPS IN SOIL AND TERRESTRIAL ECOSYSTEMS USING R SOFTWARE AND BIBLIOSHINY TO ANALYZE DESCRIPTIVE STATISTICS, AUTHOR CONTRIBUTIONS, DOCUMENTS, AND CONCEPTUAL STRUC-TURES. THE SCOPUS DATABASE WAS SELECTED, AND VARIOUS KEYWORDS OPTIMIZED THE SEARCH. AN ANALYSIS OF RESEARCH TRENDS DIVIDED THE TIMELINE INTO THREE PERIODS: PERIOD I (2012–2018), PERIOD II (2019–2021), AND PERIOD III (2022). RESULTS SHOWED WANG J. AS THE AUTHOR WITH THE HIGHEST H-INDEX, WHILE SCIENCE OF THE TOTAL ENVIRONMENT HAD AN H-INDEX OF 43. IN PERIOD I, RESEARCH FOCUSED ON MPS AND PLASTIC POLLUTION, RAISING QUESTIONS ABOUT THEIR IMPACTS ON TERRESTRIAL ECOSYSTEMS. RESEARCH FOUND THAT MPS NEGATIVELY AFFECTED SOIL ORGANISMS BY DECREASING GROWTH RATES...