Browsing by Author "Feyen, Jan"

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A preliminary response from the Faculty of Psychology students of the University of Cuenca to the modified EFL teaching approach
(Universidad de Cuenca, 2017) Berna, Marcelo; Feyen, Jan
English teachers in Ecuadorian universities, like teachers in many non-native English-speaking countries, face the challenge of dealing with uninterested, unmotivated students, even when intermediate proficiency of English is a basic requirement for graduation. As from the end of 2014, the Faculty of Psychology of the University of Cuenca modified the English as a Foreign Language (EFL) instruction at the three proficiency levels of English learning, by linking the training in reading to the reading of major related material and stimulating the students to practice actively the four English language skills outside the classroom using website and video hosting sites. At the end of 2016, the students’ impressions of being exposed to the modified way of student-centered instruction were assessed using a questionnaire. A total of 106 students completed online the 10-question survey. Results showed the enthusiasm of the students towards the modified more dynamic and interactive mode of EFL instruction; appreciated that more autonomy and responsibility were given to the students, and suggested that focus on grammar should not be neglected. An important side effect of the approach was the indirect harnessing of listening, writing, reading and speaking skills as well as skills in the reading and analysis of thematic research papers; considered an important benefit for the thesis project.
A preliminary response of the Faculty of Psychology students of the University of Cuenca to the modified EFL teaching approach
(2017) Bernal Arellano, Walter Marcelo; Feyen, Jan
English teachers in Ecuadorian universities, like teachers in many non-native English-speaking countries, face the challenge of dealing with uninterested, unmotivated students, even when intermediate proficiency of English is a basic requirement for graduation. As from the end of 2014, the Faculty of Psychology of the University of Cuenca modified the English as a Foreign Language (EFL) instruction at the three proficiency levels of English learning, by linking the training in reading to the reading of major related material and stimulating the students to practice actively the four English language skills outside the classroom using the website and video hosting sites. At the end of 2016, the students’ impressions of being exposed to the modified way of student-centered instruction were assessed using a questionnaire. A total of 106 students completed online the 10-question survey. Results showed the enthusiasm of the students towards the modified more dynamic and interactive mode of EFL instruction; appreciated that more autonomy and responsibility were given to the students, and suggested that focus on grammar should not be neglected. An important side effect of the approach was the indirect harnessing of listening, writing, reading, and speaking skills as well as skills in the reading and analysis of thematic research papers; considered an important benefit for the thesis project.
An analysis of the relationship between higher education performance and socio-economic and technological indicators: the Latin American case study
(Universidad de Cuenca, 2013-12) Feyen, Jan; Hoof, Hubert B. Van; Universidad de Cuenca; DIUC; Dirección de Investigación de la Universidad de Cuenca
This paper reports on a study that analyzed the research output of higher education systems in a select number of Latin American countries and its relationship to several socio-economic and technological success indicators. This was placed within a broader discussion of the changing role of the university in society. The study used the rankings of the countries surveyed with respect to two major indicators: 1. higher education and training (Global Competiveness Report 2012-2013) and 2. scientific productivity of higher education institutions (HEI) as measured by the number of research papers published in international, peer reviewed journals as archived in the Scopus Database (Elsevier B.V.) and available in the SIR Iberoamericano Ranking Reports 2009-2013. The relationship of both indicators with various socio-economic and technology indicators was examined to assess the extent to which the quality and scientific productivity of a country’s higher education system affected a number of country performance indices such as global competitiveness, innovation, health and primary education, government effectiveness, knowledge and technology output and GDP per capita. The relationship between scientific productivity in the form of published, refereed papers and a country’s investment in R&D, researcher headcount per million inhabitants and the quality of its research institutes was analyzed as well. The findings at the Latin American level were compared to the research effectiveness of higher education institutes at the global level. The study found that, notwithstanding the huge variation that existed between the countries studied in the survey, the education and training country rank and the country average HEI publication record correlates with several important socio-economic indicators. Although improvements have been made many Latin American countries still trail their global counterparts in the area of research and publication.
Análisis comparativo del comportamiento de la escorrentía de tres microcuencas andinas con diferente régimen de precipitación y cobertura vegetal
(Universidad de Cuenca, 2017) Martínez, Erika; Coello, Cristian; Feyen, Jan
The paper presents a descriptive comparative analysis of the precipitation and runoff of three Andean small watersheds (varying in size between 0.6 and 1 km2), using approximately 8 years of rainfall and discharge data, with the objective to relate differences in runoff behavior to the level of annual precipitation, the monthly distribution of rainfall and land use. The catchment covered with native forest receives on average the largest amount of rainfall (1,540 mm/year), whereas the two other catchments, respectively under grassland with extensive cattle breeding and pine trees, receive annually on average respectively 1,267 and 1,181 mm. Although the analysis did not permit to describe in detail the processes controlling the transformation of precipitation into runoff, the exhaustive breakdown of the daily rainfall and runoff data enabled to define the effect of climate and land cover on the runoff pattern of each of the studied micro-catchments. Furthermore, the detailed analysis allowed to accurately identify the type of events whereby the studied micro-catchments show a different response in runoff related to a difference in climate and land use, which would not have been possible to define using only the average monthly precipitation and runoff data of the catchments, a traditional approach in hydrologic consulting services.
La clasificación de universidades como herramienta de gestión universitaria
(Universidad de Cuenca, 2010-12) Feyen, Jan; Vázquez Zambrano, Raúl Fernando; Universidad de Cuenca; DIUC; Dirección de Investigación de la Universidad de Cuenca
The recent discussion on university ranking raised quite some commotion among the Ecuadorian academic society. Because Ecuadorian universities do not produce Nobel Prize winners, public and private investment in research are limited, academicians hardly produce articles in recognized scientific journals, among other factors, are responsible that the higher education institutions in Ecuador do not rank in the top of the world university ranking systems. The tendency exists to impeach the value of the world ranking systems by stating that the criteria used are far away from Ecuador‟s reality. True, but the moderate to low ranking might be an incentive for the universities to be more alert and look for ways to improve the institutional performance and in doing so enhancing its competitiveness at national and international level. In this respect, the paper first examines the relation between higher education and development with Ecuador as case study, as to come to an MASKANA, Vol. 1, No. 1, 2010 Revista semestral de la DIUC 4 interpretation of the ranking of Ecuador‟s higher educational institutes. In contradiction to the misinterpretation of the ranking systems by local academicians, the article explains briefly the basis of 5 world university ranking systems, illustrates that a given institution ranks different in each of the ranking systems, compares and explains the ranking of 10 Ecuadorian institutions that classify in the Ranking Iberoamericano SIR 2010 and the Ranking Web, to conclude that the Ranking Iberoamericano SIR 2010 and the ranking of the Consejo Nacional de Evaluación y Acreditación (CONEA) yield upon a few exceptions very similar results. Since international rankings put quite some emphasis on research and research output, two avenues are discussed to improve the institutional publication record, i.e. (i) attracting junior staff with doctorate, having experience writing scientific articles, including the creation of an inductive research environment, and (ii) establishing in the institution a scientific journal offering to inexperienced staff the opportunity of acquiring and/or improving writing skills.
Comparison of Statistical Downscaling Methods for Monthly Total Precipitation: Case Study for the Paute River Basin in Southern Ecuador
(2016) Campozano Parra, Lenin Vladimir; Tenelanda Patiño, Daniel Orlando; Sánchez Cordero, Esteban Remigio; Samaniego Alvarado, Esteban Patricio; Feyen, Jan
Downscaling improves considerably the results of General Circulation Models (GCMs). However, little information is available on the performance of downscaling methods in the Andean mountain region. The paper presents the downscaling of monthly precipitation estimates of the NCEP/NCAR reanalysis 1 applying the statistical downscaling model (SDSM), artificial neural networks (ANNs), and the least squares support vector machines (LS-SVM) approach. Downscaled monthly precipitation estimates after bias and variance correction were compared to the median and variance of the 30-year observations of 5 climate stations in the Paute River basin in southern Ecuador, one of Ecuador’s main river basins. A preliminary comparison revealed that both artificial intelligence methods, ANN and LS-SVM, performed equally. Results disclosed that ANN and LS-SVM methods depict, in general, better skills in comparison to SDSM. However, in some months, SDSM estimates matched the median and variance of the observed monthly precipitation depths better. Since synoptic variables do not always present local conditions, particularly in the period going from September to December, it is recommended for future studies to refine estimates of downscaling, for example, by combining dynamic and statistical methods, or to select sets of synoptic predictors for specific months or seasons.
Evaluating extreme climate indices from CMIP3&5 global climate models and reanalysis data sets: a case study for present climate in the Andes of Ecuador
(2017) Campozano Parra, Lenin Vladimir; Vázquez Patiño, Angel Oswaldo; Tenelanda Patiño, Daniel Orlando; Feyen, Jan; Samaniego Alvarado, Esteban Patricio; Sánchez Cordero, Esteban Remigio
The reliability of climate models depends ultimately on their adequacy in relevant real situations. However, climate in mountains, a very sensitive system, is scarcely monitored, making the assessment of global climate models (GCMs) projections problematic. This is even more critical for tropical mountain regions, where complex atmospheric processes acting across scales are specially challenging for GCMs. To help bridge this gap, we evaluated the representation of extreme climate indices by GCMs and reanalysis data in the Andes of Ecuador. This work presents an intercomparison of 11 climate precipitation indices (Climate Change Detection and Indices, ETCCDIs) reconstructed for the period 1 January 1981–31 December 2000 using the data of six climate stations situated in a medium-sized Andean catchment in southern Ecuador, reanalysis data sets (RAD) ERA40, ERA-Interim, NCEP/NCAR Reanalysis 1 (NCEP/NCAR-R1) and NCEP/DOE Reanalysis 2 (NCEP/DOE-R2), and the data sets of 19 and 29 models of the Coupled Model Intercomparison Project, Phases 3 and 5 (CMIP3&5). Temporal and spatial analysis highlights that the values and the variability of ETCCDIs based on reanalysis and CMIP3&5 data overestimate observations, especially in ENSO years. However, frequency-type indices are in general better captured than amount-related indices in RAD. In general, reanalysis data displayed a similar uncertainty as the CMIP model data sets and some indices present lower uncertainty. The uncertainty of ETCCDIs based on CMIP5 remains similar to CMIP3 GCMs, with small variations. The indices using NCEP/NCAR-R1, NCEP/DOE-R2, and ERA-Interim data performed better than those obtained with the ERA40 data sets, with no discernible improvement between both NCEP products. It can be concluded that for the given study region CMIP3&5 models and reanalysis products with respectively good and poor performance, exist, however data should be carefully screened before use. Furthermore, these results confirm that the specificity of the studied region is a key to identify limiting aspects on the GCMs and reanalysis extreme climate representation.
Evaluation of a data-based hydrological model for simulating the runoff of medium sized Andean basins
(Universidad de Cuenca, 2010-12) Célleri Alvear, Rolando Enrique; Willems, Patrick; Feyen, Jan; Universidad de Cuenca; Dirección de Investigación de la Universidad de Cuenca; DIUC
Using timeseries of rainfall and streamflow of two basins in the Andean mountain range, South Ecuador, different in size (300 and 1260 Km2), a generalized lumped conceptual model (VHM), offering the possibility of using different levels of complexity with number of model parameters varying between 5 and 15, was tested. To increase the information timeseries of total streamflow were split in timeseries of quick, intermittent and baseflow, and the timeseries were discretized to select independent events of high and low flows. The paper outlines in detailed the procedure for the model structure identification, calibration and validation, as well as the multi-objective criteria approach used to evaluate the performance of the model and its components. It has been shown that the model structure, consisting of a module for soil storage and quick flow, was able to model for both basins the water balance and streamflow components with acceptable accuracy. A low value of the soil water storage facilitates the model calibration but it is not a guarantee that the model performs better. The study further reveals that the risk of over-parameterization
Experimental assessment of the sprinkler application rate for steep sloping fields
(2007-06) Cisneros, Felipe; Torres, P.; Feyen, Jan
The Programa para el Manejo del Agua y del Suelo (PROMAS) assists the local farming community in introducing new types of locally available irrigation equipment that are both inexpensive and water efficient. Field experiments enabled determining the maximum application rates that cause zero runoff for slopes above 16% for low-cost sprinkler systems.
Flood early warning systems using machine learning techniques: the case of the Tomebamba catchment at the southern Andes of Ecuador
(2021) Bendix, Jor; Muñoz Pauta, Paúl Andrés; Orellana Alvear, Johanna Marlene; Célleri Alvear, Rolando Enrique; Feyen, Jan
Worldwide, machine learning (ML) is increasingly being used for developing flood early warning systems (FEWSs). However, previous studies have not focused on establishing a methodology for determining the most efficient ML technique. We assessed FEWSs with three river states, No-alert, Pre-alert and Alert for flooding, for lead times between 1 to 12 h using the most common ML techniques, such as multi-layer perceptron (MLP), logistic regression (LR), K-nearest neighbors (KNN), naive Bayes (NB), and random forest (RF). The Tomebamba catchment in the tropical Andes of Ecuador was selected as a case study. For all lead times, MLP models achieve the highest performance followed by LR, with f1-macro (log-loss) scores of 0.82 (0.09) and 0.46 (0.20) for the 1 h and 12 h cases, respectively. The ranking was highly variable for the remaining ML techniques. According to the g-mean, LR models correctly forecast and show more stability at all states, while the MLP models perform better in the Pre-alert and Alert states. The proposed methodology for selecting the optimal ML technique for a FEWS can be extrapolated to other case studies. Future efforts are recommended to enhance the input data representation and develop communication applications to boost the awareness of society of floods.
Identifcation of the runoff generation processes in a montane cloud forest combining hydrometric data and mixing model analysis
(Universidad de Cuenca, 2011-07) Crespo Sánchez, Patricio Javier; Bücker, Amelie; Feyen, Jan; Vache, Kellie B.; Frede, Hans Georg; Universidad de Cuenca; Dirección de Investigación de la Universidad de Cuenca; Breuer, Lutz
Field observations of runoff generation in pristine montane cloud forests are scarce. However, this knowledge is important for a sustainable natural resources management. Here we report results of a study carried out in the San Francisco River basin (75,3 km2) located on the Amazonian side of the Cordillera Real in the southernmost Andes of Ecuador. The basin is mainly covered with cloud forest, sub-páramo, pasture and ferns. A nested sampling approach was used for the collection of stream water samples and discharge measurements in the main tributaries and outlet of the basin. Additionally, soil and rock water samples were collected. Weekly to biweekly water grab samples were taken at all stations in the period April 2007 to November 2008. Hydrometric, mean residence time and mixing model approaches allowed identifying the main hydrological processes that control the runoff generation in the basin. Results clearly reveal that flow during dry conditions mainly consists of lateral flow through the C-horizon and cracks in the top weathered bedrock layer. The data shows that all catchments have an important contribution of this deep water to runoff, no matter whether pristine or deforested. During normal to low precipitation intensities, when antecedent soil moisture conditions favor water infiltration, vertical flow paths to deeper soil horizons with subsequent lateral sub-surface flow contributes most to streamflow. Under wet conditions in forested catchments streamflow is controlled by near-surface lateral flow through the organic horizon, and it is unlikely that Horton overland flow occurs during storm events. By absence of the litter layer in pasture streamflow under wet conditions primarily originates from the rooted surface layers and the A horizon, and Hortonian overland flow during extreme events.
Identifying controls of the rainfall-runoff response of small catchments in the tropical Andes (Ecuador)
(2011-07-24) Crespo, Patricio; Feyen, Jan; Buytaert, Wouter; Bücker, Amelie; Breuer, Lutz; Frede, Hans Georg; Ramírez, Marco
Tropical mountain regions are characterized by strong spatial climate gradients which together with the limited amount of data and knowledge of the underlying processes hinder the management of the water resources. Especially for regional-scale prediction it is important to identify the dominant factors controlling the rainfall–runoff response and link those to known spatial patterns of climate, soils, and vegetation. This study analyzes the rainfall–runoff relation of 13 intensively monitored micro-catchments in the Andes of southern Ecuador. The results of this study show that streamflow in the southern cordillera of the Ecuadorian Andes, above 2500 m a.s.l., primarily consists of subsurface flow. The yearly amount of streamflow is controlled by the annual rainfall depth, whereas the temporal distribution is mainly governed by the lateral saturated hydraulic conductivity, the soil water retention and the antecedent soil moisture content. Anthropogenic effects were found insignificant, with the exception in one of the studied micro-catchment. Effect of land use changes in most of the micro-catchments did not reflect in the shape of the flow duration curve because either the spatial extent of human impact was small and/or the overall basin slope was less than 20%.
Improving the publication visibility of Ecuador’s higher education system
(2016) Feyen, Jan; Milia, Matías Federico; Van Hoof, Hubert B.; Quinde Herrera, Karina Sandra; Ochoa Robles, María Verónica; Abril Ulloa, Sandra Victoria; Bojorque Iñeguez, Jaime Asdrúbal
This article reports on a comparative study between the publication productivity of Ecuador’s leading Higher Education Institutions (HEIs) (as reported in the SCOPUS journal/proceedings database; https://www.elsevier.com/solutions/scopus) and the publication efforts of similar universities in South America and Western Europe when those universities converted from a “teaching-only” to a “teaching and research” focus. The authors highlight the causes of Ecuador’s research and publication paucity and suggest remedial strategies which focus on adjusting the profile and activities of Ecuador’s HEIs to better meet the skills gap in the 21st century economy; economy driven by innovation and knowledge. The article proposes that Ecuador’s HEIs make teaching collaborative and more affordable, stimulate faculty to examine society-relevant problems in teams, educate and encourage faculty to publish in peer-reviewed journals and enhance effectiveness and efficiency so that a stronger teaching-researchservice nexus emerges; all even though Ecuador has entered a period of economic hardship with dwindling funds for higher education.
Mining from a conflicting to a collaborative activity: review of literature
(Universidad de Cuenca, 2015-12) Feyen, Jan; Crespo, Patricio; Célleri, Rolando; Universidad de Cuenca; Dirección de Investigación de la Universidad de Cuenca
This article states that the confrontational attitude between local communities pushed by lobbying groups, eventually with the support of local governments, and mining companies can be turned into a corporate communication and cooperation model. Several of the large mining companies recently adopted a corporate business model in which ample room is given to the social and economic desires of the communities living nearby mining sites. Proposed actions that contribute to a collaborative attitude are the investment of time in the setting up of a communication model, the negotiation of impact and benefit agreements, involving community members in the organization and exploitation of services and the provision of goods, training of locals in conservation and restoration techniques and related technologies, and making available infrastructure and equipment as to enable locals developing economic activities which they independently can continue after mine closure. Involving the local scientific community, eventually in association with environmentalists, in activities of monitoring, mitigation, remediation and restoration helps this sector to develop capacity which will be beneficial in educational and research related programs. Governments’ participation will culminate in a better legal framework and the development of more efficient protocols for the verification if mining is conducted in an ethical, social and environmental sound manner.
Modeling hydrological consequences of climate and land use change Progress and Challenges
(Universidad de Cuenca, 2011-12) Feyen, Jan; Vázquez Zambrano, Raúl Fernando; Universidad de Cuenca; Dirección de Investigación de la Universidad de Cuenca
This paper provides the state-of-the-art in hydrologic modeling regarding its capability of predicting the effects of climate and land use change on the hydrological cycle. In conclusion, the research challenges are pinpointed, which the community should address as to be able to observe and model, at a regional-scale, the coupled climate-water cycle in response to the human induced changes in climate and land use. The findings presented herein are a compilation resulting from an extensive literature review and the personal expertise of the authors. Given the focus on hydrologic modeling, many other aspects such as the best practices of integrated water resources management, cross-boundary water governance, the establishment of institutional frameworks, empowerment of local communities to participate effectively in water management and policy making, among many other very relevant aspects, were intentionally not considered as not to dilute the focus of the paper.
Multicriteria assessment of water dynamics reveals subcatchment variability in a seemingly homogeneous tropical cloud forest catchment
(2017) Timbe Castro, Edison Patricio; Feyen, Jan; Timbe Castro, Luis Manuel; Crespo Sánchez, Patricio Javier; Célleri Alvear, Rolando Enrique; Windhorst, David; Frede, Hans Georg; Breuer, Lutz
To improve the current knowledge of the rainfall–runoff phenomena of tropical montane catchments, we explored the usefulness of several hydrological indicators on a nested cloud forest catchment (76.9 km2). The used metrics belong to 5 categories: baseflow mean transit time, physicochemical properties of stream water, land cover, topographic, and hydrometric parameters. We applied diverse statistical techniques for data analysis and to contrast findings. Multiple regression analysis showed that mean transit times of base flow could be efficiently predicted by sodium concentrations (higher during baseflows) and temperatures of stream water, indicating a major influence of geomorphology rather than topographic or land cover characteristics. Principal component analysis revealed that no specific subset of catchment indicators could be identified as prevailing descriptors for all catchments. The agglomerative hierarchical clustering analysis provided concomitant results, implying larger levels of dissimilarity between smaller subcatchments than between larger ones. Overall, results point out an intricate interdependence of diverse processes at surface and subsurface level indicating a high level of heterogeneity. Disregarding heterogeneity of nested or paired catchments could lead to incomplete or misleading conclusions, especially in tropical mountain regions where pronounced spatial and temporal gradients are present.
Night irrigation reduction for water saving in medium-sized systems
(2003-04) Bievre, Bert De; Alvarado, Andrés; Timbe, Luis; Célleri, Rolando; Feyen, Jan
In many medium-sized irrigation systems water is wasted during the night because demand is low and supply is not reduced accordingly. A hydrodynamic model was applied, using MIKE 11 as a software tool, to simulate abrupt discharge changes and their travel times along small irrigation canals. Filling and emptying of the canal were also analyzed. The model was calibrated with data of a field experiment that included startup, positive, and negative surges. A technique was developed to take into account the considerable water losses in the canal. Performance indicators efficiency, adequacy, equity, and dependability, proposed by Molden and Gates in 1990, were redefined using the concept of usefully delivered discharge. The newly defined indicators were consequently used to find the gate operation scenario that meets optimally the target day and night discharges. It was found that it is feasible to implement night delivery reduction. The calibrated model was used to develop guidelines for the operation of the canal with daily flow variation, resulting in considerable water savings during the night.
Preliminary evaluation of the runoff processes in a remote montane cloud forest basin using mixing model analysis and mean transit time
(2012-12-15) Crespo, Patricio; Bücker, Amelie; Feyen, Jan; Vaché, Kellie B.; Frede, Hans Georg; Breuer, Lutz
In this study, the Mean Transit Time and Mixing Model Analysis methods are combined to unravel the runoff generation process of the San Francisco River basin (73.5 km2) situated on the Amazonian side of the Cordillera Real in the southernmost Andes of Ecuador. The montane basin is covered with cloud forest, sub-páramo, pasture and ferns. Nested sampling was applied for the collection of streamwater samples and discharge measurements in the main tributaries and outlet of the basin, and for the collection of soil and rock water samples. Weekly to biweekly water grab samples were taken at all stations in the period April 2007–November 2008. Hydrometric data, Mean Transit Time and Mixing Model Analysis allowed preliminary evaluation of the processes controlling the runoff in the San Francisco River basin. Results suggest that flow during dry conditions mainly consists of lateral flow through the C-horizon and cracks in the top weathered bedrock layer, and that all subcatchments have an important contribution of this deep water to runoff, no matter whether pristine or deforested. During normal to low precipitation intensities, when antecedent soil moisture conditions favour water infiltration, vertical flow paths to deeper soil horizons with subsequent lateral subsurface flow contribute most to streamflow. Under wet conditions in forested catchments, streamflow is controlled by near surface lateral flow through the organic horizon. Exceptionally, saturation excess overland flow occurs. By absence of the litter layer in pasture, streamflow under wet conditions originates from the A horizon, and overland flow.
Retos del Buen Vivir
(Universidad de Cuenca. PYDLOS, 2010) Guillén García, Alejandro; Tortosa, José María; Acosta, Alberto; Jiménez, Maren; Cebrián, Andrés; Ferreira, Rodrigo; Mancero, Nirma; Avila Larrea, Javier Alejandro; Feyen, Jan; Gallego, Anastacio; Velasco, Santiago
Sampling frequency trade-offs in the assessment of mean transit times of tropical montane catchment waters under semi-steady-state conditions
(2015) Timbe Castro, Edison Patricio; Windhorst, David; Célleri Alvear, Rolando Enrique; Timbe Castro, Luis Manuel; Crespo Sánchez, Patricio Javier; Frede, Hans Georg; Feyen, Jan; Breuer, Lutz
Precipitation event samples and weekly based water samples from streams and soils were collected in a tropical montane cloud forest catchment for 2 years and analyzed for stable water isotopes in order to understand the effect of sampling frequency in the performance of three lumped-parameter distribution functions (exponential-piston flow, linear-piston flow and gamma) which were used to estimate mean transit times of waters. Precipitation data, used as input function for the models, were aggregated to daily, weekly, bi-weekly, monthly and bi-monthly sampling resolutions, while analyzed frequencies for outflows went from weekly to bi-monthly. By using different scenarios involving diverse sampling frequencies, this study reveals that the effect of lowering the sampling frequency depends on the water type. For soil waters, with transit times on the order of few weeks, there was a clear trend of over predictions. In contrast, the trend for stream waters, which have a more damped isotopic signal and mean transit times on the order of 2 to 4 years, was less clear and showed a dependence on the type of model used. The trade-off to coarse data resolutions could potentially lead to misleading conclusions on how water actually moves through the catchment, notwithstanding that these predictions could reach better fitting efficiencies, fewer uncertainties, errors and biases. For both water types an optimal sampling frequency seems to be 1 or at most 2 weeks. The results of our analyses provide information for the planning of future fieldwork in similar Andean or other catchments.