Browsing by Author "Cabello Torres, Rita Jaqueline"

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Evaluation of the impact of anthropogenic activities on surface water quality using a water quality index and environmental assessment
(2022) Jimenez Ordoñez, Ana Magaly; Iglesias Abad, Sergio; Cabello Torres, Rita Jaqueline; Zhindón Arévalo, César; Torres Sanchez, Jessica Lizbeth; García Ávila, Fausto Fernando
The article presents an assessment of the effects of anthropogenic activities on the quality of water in four streams flowing through a camp based on a combined assessment of environmental impacts and the water quality index. The quantitative and qualitative assessment of environmental impact was made after identifying the anthropogenic activities carried out in the camp. The water quality index (WQI) was calculated after monitoring seventeen physicochemical and microbiological variables and the Montoya index was applied. The samples were collected during 48 sampling campaigns, organised over the period of six months in eight stations. Two stations were located in each stream, one before and one after it passed through the camp. The results indicated that streams 1, 3, and 4 show a slight deterioration in water quality, affected by anthropogenic activities carried out in the said camp; meanwhile, stream 2 shows an increasing deterioration in water quality. The water quality of the streams before passing through the camp was determined to be between “uncontaminated” and “acceptable”, while after passing through the camp it was classified between “acceptable” and “slightly contaminated”. The results indicated a non-significant difference between the downstream and upstream WQI values for streams 1, 3, and 4; while stream 2 did show a significant difference in the WQI between upstream and downstream; indicating that anthropogenic activities alter the quality of the water.
Scientometric study of drinking water treatments technologies: present and future challenges
(2021) Valdiviezo Gonzales, Lorgio; García Ávila, Fausto Fernando; Cabello Torres, Rita Jaqueline; Castañeda Olivera, Carlos Alberto; Alfaro Paredes, Emigdio Antonio; Cameselle, Claudio
The knowledge of the tendencies of the drinking water treatments was changing through the previous decades and it is necessary to improve it for the benefit of the human beings. In this sense, the purpose of the study was to develop a scientometric study about the drinking water treatments in the period 2010–2020 for providing the state of art of the studies about the drinking water treatments in diverse knowledge areas and new orientations for future research. For this purpose, a search of the information was performed both in the Web of Science (WoS) and Scopus databases, and all articles and reviews related to the field of water treat ment or chemistry were included. The results showed that China, the USA and the Netherlands have the majority of the most cited publications and various related multidisciplinary topics, such as infrastructure, technologies and pollution. Therefore, the study allows concluding that there is a need for research on different technologies that contribute positively to obtaining quality water for consumption and for the use of routine activities, being the combination and integration of the different treatment processes a challenge for future studies.
Scientometric study of treatment technologies of soil pollution: present and future challenges
(2023) Valdiviezo Gonzales, Lorgio; Alfaro Paredes, Emigdio Antonio; Munive Cerrón, Rubén Víctor; García Ávila, Fausto Fernando; Cabello Torres, Rita Jaqueline; Castañeda Olivera, Carlos Alberto
There are few bibliometric studies showing current technologies and their combinations for the remediation of contaminated soils. For this reason, a scientometric study was carried out in order to know the trends in soil contamination treatment technologies. The study considered original articles and reviews published in the Scopus and Web of Science databases between January 2010 and June 2021, evaluating: (a) characteristics of the publications, (b) main research sources, (c) citations and production by journals, (d) keywords used, (e) countries, institutions and authors active in research production, (f) most cited articles and (g) trends in soil treatment and remediation techniques. The results showed: (a) continuous growth of publications on soil remediation in the “Environmental Science” subject area and a limited contribution of the “Soil Science” and “Agriculture and Biological Science” subject areas, (b) leadership of countries such as China, USA, India, Italy and Spain in research production, (c) phytoremediation, bioremediation and biodegradation were the most studied treatment technologies in the last decade and (d) recent research (from 2020) studied pesticides and herbicides, including Chlorimuron-ethyl and also microplastics and other emerging pollutants. It is also noted that the current trend of combinations of techniques for the treatment of soil contamination is attractive for future research.
Statistical modeling approach for PM10 prediction before and during confinement by COVID-19 in South Lima, Perú
(2022) Valdiviezo Gonzáles, Lorgio; Romero Cabello, Edison Alessandro; García Ávila, Fausto Fernando; Castañeda Olivera, Carlos Alberto; Quispe Eulogio, Carlos Enrique; López Gonzáles, Javier Linkolk; Huamán De la Cruz, Alex Rubén; Sánchez Ccoyllo, Odón Román; Cabello Torres, Rita Jaqueline; Ponce Estela, Manuel Angel
A total of 188,859 meteorological-PM10 data validated before (2019) and during the COVID-19 pandemic (2020) were used. In order to predict PM10 in two districts of South Lima in Peru, hourly, daily, monthly and seasonal variations of the data were analyzed. Principal Component Analysis (PCA) and linear/nonlinear modeling were applied. The results showed the highest annual average PM10 for San Juan de Miraflores (SJM) (PM10-SJM: 78.7 μ g/m3) and the lowest in Santiago de Surco (SS) (PM10-SS: 40.2 μ g/m3). The PCA showed the influence of relative humidity (RH)-atmospheric pressure (AP)-temperature (T)/dew point (DP)-wind speed (WS)-wind direction (WD) combinations. Cool months with higher humidity and atmospheric instability decreased PM10 values in SJM and warm months increased it, favored by thermal inversion (TI). Dust resuspension, vehicular transport and stationary sources contributed more PM10 at peak times in the morning and evening. The Multiple linear regression (MLR) showed the best correlation (r = 0.6166), followed by the three-dimensional model LogAP-LogWD-LogPM10 (r = 0.5753); the RMSE-MLR (12.92) exceeded that found in the 3D models (RMSE < 0.3) and the NSE-MLR criterion (0.3804) was acceptable. PM10 prediction was modeled using the algorithmic approach in any scenario to optimize urban management decisions in times of pandemic.