Project Title
Water Research center for Agriculture and Mining (CRHIAM)
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15130015
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basic research
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Item type:Publication, Estimation of Yield Response Factor for Each Growth Stage under Local Conditions Using AquaCrop-OS(2020) ;Mathias Kuschel-Otárola ;Niels Schütze ;Eduardo Holzapfel; Oleksandr MialykWe propose a methodology to estimate the yield response factor (i.e., the slope of the water-yield function) under local conditions for a given crop, weather, sowing date, and management at each growth stage using AquaCrop-OS. The methodology was applied to three crops (maize, sugar beet, and wheat) and four soil types (clay loam, loam, silty clay loam, and silty loam), considering three levels of bulk density: low, medium, and high. Yields are estimated for different weather and management scenarios using a problem-specific algorithm for optimal irrigation scheduling with limited water supply (GET-OPTIS). Our results show a good agreement between benchmarking (mathematical approach) and benchmark (estimated by AquaCrop-OS) using the Normalised Root Mean Square Error (NRMSE), allowing us to estimate reliable yield response factors ( K y ) under local conditions and to dispose of the typical simple mathematical approach, which estimates the yield reduction as a result of water scarcity at each growth stage.1Scopus© Citations 12 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Decadal Variability of Dry Days in Central Chile(2024) ;Daniela Latoja ;Mario Lillo-Saavedra ;Consuelo Gonzalo-Martin; Marcelo Somos-ValenzuelaDry days are crucial in precipitation variability and water scarcity, particularly in Mediterranean regions facing increasing aridity. Despite their importance, most research focuses on precipitation amounts and temporal dynamics. This study addresses this gap by analyzing dry days’ temporal and spatial variability in central Chile (32–40 S), a region experiencing prolonged drought. We examined dry day patterns from 1960 to 2021 using high-resolution gridded precipitation data, defining dry days with five precipitation thresholds (0.10, 1, 2.5, 5, and 10 mm/day). Principal component and trend analyses were employed to characterize spatial and temporal variability. Results reveal a spatial pattern of dry days closely following precipitation patterns, with more dry days in northern and coastal areas. The first principal component explains 70–80% of the variance, and clustering methods allowed the definition of five homogeneous regions with distinct monthly dry-day characteristics. Long-term trends show a significant increase in annual dry days south of 38°S, while trends are weaker and non-significant further north. Notably, trend direction is highly sensitive to the analysis period, with some regions showing opposing trends before and after 1982. The 2010–2019 megadrought is detectable in decadal anomalies. We found links between dry day anomalies and large-scale climate patterns, suggesting modulation by changes in subtropical and extratropical atmospheric circulation. This comprehensive characterization of dry day climatology and variability provides crucial insights for water resource management and climate change adaptation in central Chile and similar Mediterranean regions worldwide. Our findings highlight the importance of considering dry day frequency in drought assessment and water planning, contributing to a more nuanced understanding of precipitation patterns in Mediterranean climates.8Scopus© Citations 6 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Early Estimation of Tomato Yield by Decision Tree Ensembles(2022) ;Mario Lillo-Saavedra ;Alberto Espinoza-Salgado ;Angel García-Pedrero ;Camilo SoutoEduardo HolzapfelCrop yield forecasting allows farmers to make decisions in advance to improve farm management and logistics during and after harvest. In this sense, crop yield potential maps are an asset for farmers making decisions about farm management and planning. Although scientific efforts have been made to determine crop yields from in situ information and through remote sensing, most studies are limited to evaluating data from a single date just before harvest. This has a direct negative impact on the quality and predictability of these estimates, especially for logistics. This study proposes a methodology for the early prediction of tomato yield using decision tree ensembles, vegetation spectral indices, and shape factors from images captured by multispectral sensors on board an unmanned aerial vehicle (UAV) during different phenological stages of crop development. With the predictive model developed and based on the collection of training characteristics for 6 weeks before harvest, the tomato yield was estimated for a 0.4 ha plot, obtaining an error rate of 9.28%.1 1Scopus© Citations 10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Sensitivity of Water Price Elasticity Estimates to Different Data Aggregation Levels(2021) ;Yarela Flores Arévalo; ;Francisco J. Fernández3Scopus© Citations 15 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Aligning Global Efforts for a Carbon Neutral World: The Race to Zero Campaign(2022); ;Gonzalo MuñozAccording to the United Nations, in order to avoid some of the worst outcomes of climate change, the world must achieve net zero carbon emissions by 2050 at the very latest. That is the aim of the Race to Zero Campaign. Since 2019, more than 10,000 organizations around the world have embraced Race to Zero, which has been able to successfully create a relevant, global, and diverse cross-sector partnership, tearing down the barriers that have emerged from uncertainty. Building on three key cross-partnership elements (strategic, institutional, and learning), combined with the uncertainties faced by the partners, we describe the resources and activities that have made that possible.5Scopus© Citations 17 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Use of humic substances in froth flotation processes(2019) ;Lorenzo Reyes-Bozo ;Eduardo Vyhmeister; ;Pablo HiguerasCarlos Fúnez-Guerra45Scopus© Citations 9 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Force Measurement with a Strain Gauge Subjected to Pure Bending in the Fluid–Wall Interaction of Open Water Channels(2022) ;Luis Santana; Eric ForcaelAn experimental method to measure forces of small magnitude with a strain gauge as a force sensor in the fluid–wall interaction of open water channels is presented. Six uniaxial strain gauges were employed for this purpose, which were embedded across the entire sensing area and subjected to pure bending, employing two-point bending tests. Sixteen two-point bending tests were performed to determine the existence of a direct relationship between the load and the instrument signal. Furthermore, a regression analysis was used to estimate the parameters of the model. A data acquisition system was developed to register the behavior of the strain gauge relative to the lateral displacement induced by the loading nose of the universal testing machine. The results showed a significant linear relationship between the load and the instrumental signal, provided that the strain gauge was embedded between 30% and 45% of the central axis in the sensing area of the sensor (R2 > 0.99). Thus, the proposed sensor can be employed to measure forces of small magnitude. Additionally, the linear relationship between the load and the instrumental signal can be used as a calibration equation, provided that the strain gauge is embedded close to the central axis of the sensing area.1 2Scopus© Citations 5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Global patterns of nitrate isotope composition in rivers and adjacent aquifers reveal reactive nitrogen cascading(2021) ;Ioannis Matiatos ;Leonard I. Wassenaar ;Lucilena R. Monteiro ;Jason J. VenkiteswaranDaren C. GooddyRemediation of nitrate pollution of Earth’s rivers and aquifers is hampered by cumulative biogeochemical processes and nitrogen sources. Isotopes (δ15N, δ18O) help unravel spatiotemporal nitrogen(N)-cycling of aquatic nitrate (NO3−). We synthesized nitrate isotope data (n = ~5200) for global rivers and shallow aquifers for common patterns and processes. Rivers had lower median NO3− (0.3 ± 0.2 mg L−1, n = 2902) compared to aquifers (5.5 ± 5.1 mg L−1, n = 2291) and slightly lower δ15N values (+7.1 ± 3.8‰, n = 2902 vs +7.7 ± 4.5‰, n = 2291), but were indistinguishable in δ18O (+2.3 ± 6.2‰, n = 2790 vs +2.3 ± 5.4‰, n = 2235). The isotope composition of NO3− was correlated with water temperature revealing enhanced N-cascading in warmer climates. Seasonal analyses revealed higher δ15N and δ18O values in wintertime, suggesting waste-related N-source signals are better preserved in the cold seasons. Isotopic assays of nitrate biogeochemical transformations are key to understanding nitrate pollution and to inform beneficial agricultural and land management strategies. © 2021, The Author(s).8Scopus© Citations 143 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Water demand in the Chilean manufacturing industry: Analysis of the economic value of water and demand elasticities(2020); ;Leonardo Vargas O ;José I. Hernández1Scopus© Citations 29 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Distributional justice and hydropower development: A case study of Chile's equity tariff scheme(Elsevier BV, 2025-03); ; ;Manuel Barrientos5Scopus© Citations 3