CRIS

Permanent URI for this communityhttps://investigadores.udd.cl/handle/123456789/1

Browse

Search Results

Now showing 1 - 7 of 7

Some of the metrics are blocked by your
consent settings
The economics impacts of long-run droughts: Challenges, gaps, and way forward
(2023)
Francisco J. Fernández
;
VÁSQUEZ LAVÍN , FELIPE ANTONIO
;
PONCE OLIVA, ROBERTO DANIEL
;
René Garreaud
;
Francisco Hernández
8Scopus© Citations 44
Some of the metrics are blocked by your
consent settings
Comparison of Three Daily Rainfall-Runoff Hydrological Models Using Four Evapotranspiration Models in Four Small Forested Watersheds with Different Land Cover in South-Central Chile
(2021)
Neftali Flores
;
Rolando Rodríguez
;
Santiago Yépez
;
Victor Osores
;
Pedro Rau
We used the lumped rainfall–runoff hydrologic models Génie Rural à 4, 5, 6 paramètres Journalier (GR4J, GR5J and GR6J) to evaluate the most robust model for simulating discharge on four forested small catchments (<40 ha) in south-central Chile. Different evapotranspiration methods were evaluated: Oudin, Hargreaves–Samani and Priestley–Taylor. Oudin’s model allows the achievement of the highest efficiencies in the flow simulation. The more sensitive parameters for each model were identified through a Generalized Probability Uncertainty Estimation (GLUE) model. Our results demonstrate that the three hydrological models were capable of efficiently simulating flow in the four study catchments. However, the GR6J model obtained the most satisfactory results in terms of simulated to measured streamflow closeness. In general, the three models tended to underestimate peak flow, as well as underestimate and overestimate flow events in most of the in situ observations, according to the probability of non-exceedance. We also evaluated the models’ performance in a simulation of summer discharge due to the importance of downstream water supply in the months of greatest scarcity. Again, we found that GR6J obtained the most efficient simulations.
4 1Scopus© Citations 33
Some of the metrics are blocked by your
consent settings
A satellite-based ex post analysis of water management in a blueberry orchard
(2020)
Eduardo Holzapfel
;
Mario Lillo-Saavedra
;
RIVERA SALAZAR, DIEGO ANDRÉS
;
Viviana Gavilán
;
Angel García-Pedrero
1Scopus© Citations 6 2
Some of the metrics are blocked by your
consent settings
A Conceptual Model Considering Multiple Agents for Water Management
(2022)
BENJAMÍN ANTONIO RIVADENEIRA TASSARA
;
VALDÉS GONZÁLEZ, HÉCTOR MOISÉS
;
Carlos Fúnez-Guerra
;
Lorenzo Reyes-Bozo
In Chile, as in many other areas of the world, water supplies have been poorly managed and water availability is decreasing. In order to manage water resources more sustainably and equitably, it is necessary to understand and predict their supply and use considering the characteristics of a particular zone. This study aimed to develop a conceptual model for water management in the Libertador Bernardo O’Higgins Region in Chile. The model considers the water needs of industries with production activities, human consumption, and the ecological flow of each sub-basin in the area. The results show that the proposed model contributes to the understanding of the critical variables, their agents, and the interaction between the hydric demands, which enables the prioritization of human consumption and the ecological flow. Furthermore, the cross-analysis between the offer and demand indicates that current and predicted consumption levels will only be sustainable up to the year 2031. The findings may be of use to decision-makers seeking to improve water management plans in this area and elsewhere, and to others interested in modeling water management in different areas.
Scopus© Citations 4 1
Some of the metrics are blocked by your
consent settings
Simulation of Water-Use Efficiency of Crops under Different Irrigation Strategies
(2020)
Mathias Kuschel-Otárola
;
RIVERA SALAZAR, DIEGO ANDRÉS
;
Eduardo Holzapfel
;
Niels Schütze
;
Patricio Neumann
<jats:p>Irrigation management is a key factor in attaining optimal yields, as different irrigation strategies lead to different yields even when using the same amount of water or under the same weather conditions. Our research aimed to simulate the water-use efficiency (WUE) of crops considering different irrigation strategies in the Central Valley of Chile. By means of AquaCrop-OS, we simulated expected yields for combinations of crops (maize, sugar beet, wheat), soil (clay loam, loam, silty clay loam, and silty loam), and bulk density. Thus, we tested four watering strategies: rainfed, soil moisture-based irrigation, irrigation with a fixed interval every 1, 3, 5, and 7 days, and an algorithm for optimal irrigation scheduling under water supply constraints (GET-OPTIS). The results showed that an efficient irrigation strategy must account for soil and crop characteristics. Among the tested strategies, GET-OPTIS led to the best performance for crop yield, water use, water-use efficiency, and profit, followed by the soil moisture-based strategy. Thus, soil type has an important influence on the yield and performance of different irrigation strategies, as it provides a significant storage and buffer for plants, making it possible to produce “more crop per drop”. This work can serve as a methodological guide for simulating the water-use efficiency of crops and can be used alongside evidence from the field.</jats:p>
20Scopus© Citations 12
Some of the metrics are blocked by your
consent settings
Estimation of Yield Response Factor for Each Growth Stage under Local Conditions Using AquaCrop-OS
(2020)
Mathias Kuschel-Otárola
;
Niels Schütze
;
Eduardo Holzapfel
;
GODOY FAUNDEZ, ALEX ORIEL
;
Oleksandr Mialyk
We 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.
Scopus© Citations 10 1
Some of the metrics are blocked by your
consent settings
Ex Post Analysis of Water Supply Demand in an Agricultural Basin by Multi-Source Data Integration
(2021)
Mario Lillo-Saavedra
;
Viviana Gavilán
;
Angel García-Pedrero
;
Consuelo Gonzalo-Martín
;
Felipe de la Hoz
In this work, we present a new methodology integrating data from multiple sources, such as observations from the Landsat-8 (L8) and Sentinel-2 (S2) satellites, with information gathered in field campaigns and information derived from different public databases, in order to characterize the water demand of crops (potential and estimated) in a spatially and temporally distributed manner. This methodology is applied to a case study corresponding to the basin of the Longaví River, located in south-central Chile. Potential and estimated demands, aggregated at different spatio-temporal scales, are compared to the streamflow of the Longaví River, as well as extractions from the groundwater system. The results obtained allow us to conclude that the availability of spatio-temporal information on the water availability and demand pairing allows us to close the water gap—i.e., the difference between supply and demand—allowing for better management of water resources in a watershed.
1Scopus© Citations 5 2

CRIS

Browse

Filters

Settings

Sort By

Results per page

Search Results