RIVERA SALAZAR, DIEGO ANDRÉS

Preferred name

Main Affiliation

Facultad de Ingeniería

diegorivera@udd.cl

ORCID

0000-0003-0916-1540

Scopus Author ID

25822747600

Goggle Scholar

https://scholar.google.com/citations?user=P0YhYL0AAAAJ&hl=es&oi=ao

Now showing 1 - 10 of 41

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Dataset - Eco-Innovation: Drivers and Obstacles for Agriculture Firms in a Developing Country
(Ministerio de Ciencia (Chile), 2026)
CAMPOS REQUENA, NELYDA AURORA
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RIVERA SALAZAR, DIEGO ANDRÉS
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VÁSQUEZ LAVÍN , FELIPE ANTONIO
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PONCE OLIVA, ROBERTO DANIEL
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Dataset - Drought begets drought: self-exciting onsets, spell persistence, and network structure in hydroclimatic extremes
(GITHUB, 2026)
HERRERA MARÍN, MAURICIO RENÉ
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RIVERA SALAZAR, DIEGO ANDRÉS
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GODOY FAUNDEZ, ALEX ORIEL
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Dataset - Decadal climate variability and increasing exposure of Chilean agriculture
(CR2, 2026)
RIVERA SALAZAR, DIEGO ANDRÉS
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DANIELA LATOJA
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GODOY FAUNDEZ, ALEX ORIEL
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FELIPE ARTURO MORA APABLAZA
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Andean Hydrology
(2018)
RIVERA SALAZAR, DIEGO ANDRÉS
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GODOY FAUNDEZ, ALEX ORIEL
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Lillo Saavedra, Mario
1
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Socio-Hydrological Agent-Based Modeling as a Framework for Analyzing Conflicts Within Water User Organizations
(2024)
Mario Lillo-Saavedra
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Pablo Velásquez-Cisterna
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Ángel García-Pedrero
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Marcela Salgado-Vargas
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RIVERA SALAZAR, DIEGO ANDRÉS
Water resource management in agriculture faces complex challenges due to increasing scarcity, exacerbated by climate change, and the intensification of conflicts among various user groups. This study addresses the issue of predicting and managing these conflicts in the Longaví River Basin, Chile, by considering the intricate interactions between hydrological, social, and economic factors. A socio-hydrological agent-based model (SHABM) was developed, integrating hydrological, economic, and behavioral data. The methodology combined fieldwork with computational modeling, characterizing three types of agents (selfish, neutral, and cooperative) and simulating scenarios with varying levels of water availability and oversight across three water user organizations (WUOs). The key findings revealed that (1) selfish agents are more likely to disregard irrigation schedules under conditions of scarcity and low supervision; (2) high supervision (90%) significantly reduces conflicts; (3) water scarcity exacerbates non-cooperative behaviors; (4) high-risk conflict areas can be identified; and (5) behavioral patterns stabilize after the third year of simulation. This work demonstrates the potential of SHABM as a decision-making tool in water management, enabling the proactive identification of conflict-prone areas and the evaluation of management strategies.
Scopus© Citations 1 7
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Circular Economy in a Water-Energy-Food Security Nexus Associate to an SDGs Framework: Understanding Complexities
(2020)
GODOY FAUNDEZ, ALEX ORIEL
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RIVERA SALAZAR, DIEGO ANDRÉS
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HERRERA MARÍN, MAURICIO RENÉ
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Lahcen El Youssfi
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Douglas Aitken
1Scopus© Citations 9 4
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Dataset - NUCLEUS
(International Atomic Energy Agency (IAEA), 2021)
RIVERA SALAZAR, DIEGO ANDRÉS
4
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Role of mountain glaciers in the hydrological dynamics of headwater basins in the Wet Andes
(Elsevier BV, 2025-03)
Elizabet Lizama
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Marcelo Somos-Valenzuela
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RIVERA SALAZAR, DIEGO ANDRÉS
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Mario Lillo
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Bastian Morales
13
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Comparing Methods for the Regionalization of Intensity−Duration−Frequency (IDF) Curve Parameters in Sparsely-Gauged and Ungauged Areas of Central Chile
(2023)
Claudia Sangüesa
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Roberto Pizarro
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Ben Ingram
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Alfredo Ibáñez
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RIVERA SALAZAR, DIEGO ANDRÉS
<jats:p>Estimating intensity−duration−frequency (IDF) curves requires local historical information of precipitation intensity. When such information is unavailable, as in areas without rain gauges, it is necessary to consider other methods to estimate curve parameters. In this study, three methods were explored to estimate IDF curves in ungauged areas: Kriging (KG), Inverse Distance Weighting (IDW), and Storm Index (SI). To test the viability of these methods, historical data collected from 31 rain gauges distributed in central Chile, 35° S to 38° S, are used. As a result of the reduced number of rain gauges to evaluate the performance of each method, we used LOOCV (Leaving One Out Cross Validation). The results indicate that KG was limited due to the sparse distribution of rain gauges in central Chile. SI (a linear scaling method) showed the smallest prediction error in all of the ungauged locations, and outperformed both KG and IDW. However, the SI method does not provide estimates of uncertainty, as is possible with KG. The simplicity of SI renders it a viable method for extrapolating IDF curves to locations without data in the central zone of Chile.</jats:p>
Scopus© Citations 9 3
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Optimization of Water and Land Allocation in Fruit Orchards over a 20-Year Period
(MDPI AG, 2024-12-24)
Luciano Quezada
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Eduardo Holzapfel
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Mathias Kuschel-Otárola
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Mario Lillo-Saavedra
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RIVERA SALAZAR, DIEGO ANDRÉS
<jats:p>This study proposes a nonlinear programming model for the optimization of water and land allocation in a 1000 ha orchard over a 20-year period to maximize farmers’ net profits. Different scenarios were evaluated, including equitable and unrestricted land allocation, and the risks associated with fruit production were considered. Additionally, a sensitivity analysis that focused on the variability of labor and water availability was conducted. The results reveal that with equitable land allocations and no constraints on the cultivated area, cherry emerges as the most profitable crop, although there are large risks associated with its price volatility. The introduction of risk and land allocation constraints highlights the importance of crop diversification in mitigating economic risks. A sensitivity analysis indicated that reductions in water and labor availability significantly affect the optimal cropping pattern of an orchard, suggesting that the efficient and adaptive management of resources is required. The proposed optimal cropping pattern maintains the economic viability of the orchard even with 70% and 24% reductions in water and labor, respectively. This approach underscores the importance of implementing resilient and sustainable agricultural strategies to ensure food security and increase economic stability in the face of changing climatic and labor conditions.</jats:p>
Scopus© Citations 5 2

RIVERA SALAZAR, DIEGO ANDRÉS

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