Hydroeconomic modeling for assessing water scarcity and agricultural pollution abatement policies in the Ebro River Basin, Spain

Baccour, Safa; Albiac, José; Kahil, Taher; Esteban, Encarna; Crespo, Daniel; Dinar, Ariel

doi:10.1016/j.jclepro.2021.129459

Cited by 28 publications

(14 citation statements)

References 68 publications

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“…To this aim, it must use the best approximation of the crop field system, so a discrete-time version of the agro-hydrological equations ( 1) is used. The ODE model F can be written as follows 2 :…”

Section: ) Upper Layer Descriptionmentioning

confidence: 99%

“…The optimal solution can be obtained from the solution of the following optimization problem: 2 The ref superscript letter denotes trajectories of signals of the RTO.…”

Section: ) Upper Layer Descriptionmentioning

confidence: 99%

“…AGRICULTURE plays a crucial role in a nation's economy as it provides the population's basic needs and serves as the foundation for trade in industries, particularly in rural areas where the population depends on it [1]. Irrigation also plays a critical role in agriculture, especially in arid regions or areas with inadequate precipitation patterns [2].…”

Section: Introductionmentioning

confidence: 99%

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Model Predictive Control Structures for Periodic ON–OFF Irrigation

et al. 2023

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Agriculture accounts for approximately 70% of the world's freshwater consumption. Furthermore, traditional irrigation practices, which rely on empirical methods, result in excessive water usage. This, in turn, leads to increased working hours for irrigation pumps and higher electricity consumption. The main objective of this study is to develop and evaluate periodic model predictive control structures that explicitly account for on-off irrigation, a characteristic of drip irrigation systems where watering can be turned on and off, but flow cannot be regulated. While both proposed control structures incorporate an economic upper layer (Real Time Optimizer, RTO), they differ in the costs associated with the lower layer. The first structure, called Model Predictive Control for Tracking (MPCT), focuses on tracking effectiveness, while the second structure, called Economic Model Predictive Control for Tracking (EMPCT), incorporates the economic cost into the tracking term. These proposed structures are tested in a realistic case study, specifically in a strawberry greenhouse, and both show satisfactory performance. The choice of the best option will depend on specific conditions.INDEX TERMS Economic model predictive control, non-linear equations, on-off irrigation, periodic MPC, transient regime. NOMENCLATUREA.

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Section: ) Upper Layer Descriptionmentioning

confidence: 99%

“…The optimal solution can be obtained from the solution of the following optimization problem: 2 The ref superscript letter denotes trajectories of signals of the RTO.…”

Section: ) Upper Layer Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Model Predictive Control Structures for Periodic ON–OFF Irrigation

et al. 2023

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“…A river basin authority could be a state or federal entity with the authority to impose fines or restrict water allocations in the case of nonpoint Water 2022, 14, 2384 2 of 21 source pollution. Baccour et al [3] model the case of the Ebro River Basin in Spain, where regulations to control nonpoint source pollution of nitrates from livestock production are addressed, among other policy interventions, by restriction of water supply, imposed by the Ebro Basin Authority. Quinn [4], compares the performance of real-time, basin-scale salinity regulation in the San Joaquin River in California with those of the Hunter River Basin authority, Australia.…”

Section: Introductionmentioning

confidence: 99%

Developing a Decision Support System for Regional Agricultural Nonpoint Salinity Pollution Management: Application to the San Joaquin River, California

Dinar

Quinn

2022

Water

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Environmental problems and production losses associated with irrigated agriculture, such as salinity, degradation of receiving waters, such as rivers, and deep percolation of saline water to aquifers, highlight water-quality concerns that require a paradigm shift in resource-management policy. New tools are needed to assist environmental managers in developing sustainable solutions to these problems, given the nonpoint source nature of salt loads to surface water and groundwater from irrigated agriculture. Equity issues arise in distributing responsibility and costs to the generators of this source of pollution. This paper describes an alternative approach to salt regulation and control using the concept of “Real-Time Water Quality management”. The approach relies on a continually updateable WARMF (Watershed Analysis Risk Management Framework) forecasting model to provide daily estimates of salt load assimilative capacity in the San Joaquin River and assessments of compliance with salinity concentration objectives at key monitoring sites on the river. The results of the study showed that the policy combination of well-crafted river salinity objectives by the regulator and the application of an easy-to use and maintain decision support tool by stakeholders have succeeded in minimizing water quality (salinity) exceedances over a 20-year study period.

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“…About 1.5 billion people, accounting for 40% of the global population, in 80 countries and regions are suffering from a shortage of freshwater [ 11 , 12 ], and about 300 million from 26 countries are in an extreme water-shortage state [ 13 , 14 , 15 ]. Agricultural development will be especially hindered, and world food security will be compromised as a result of water shortages [ 16 , 17 ]. Globally, industrial water consumes approximately 20% of the total freshwater [ 18 ]; the shortage of water resources may lead to industrial shutdowns and limit production [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Virtual Water Flow Pattern in the Yellow River Basin, China: An Analysis Based on a Multiregional Input–Output Model

Liu

Xiong

Guo³

et al. 2022

IJERPH

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Research on the Yellow River Basin’s virtual water is not only beneficial for rational water resource regulation and allocation, but it is also a crucial means of relieving the pressures of a shortage of water resources. The water stress index and pull coefficient have been introduced to calculate the implied virtual water from intraregional and interregional trade in the Yellow River Basin on the basis of a multi-regional input–output model; a systematic study of virtual water flow has been conducted. The analysis illustrated that: (1) Agriculture is the leading sector in terms of virtual water input and output among all provinces in the Yellow River Basin, which explains the high usage. Therefore, it is important to note that the agricultural sector needs to improve its water efficiency. In addition to agriculture, virtual water is mainly exported through supply companies in the upper reaches; the middle reaches mainly output services and the transportation industry, and the lower reaches mainly output to the manufacturing industry. Significant differences exist in the pull coefficients of the same sectors in different provinces (regions). The average pull coefficients of the manufacturing, mining, and construction industries are large, so it is necessary to formulate stricter water use policies. (2) The whole basin is in a state of virtual net water input, that is, throughout the region. The Henan, Shandong, Shanxi, Shaanxi, and Qinghai Provinces, which are relatively short of water, import virtual water to relieve local water pressures. However, in the Gansu Province and the Ningxia Autonomous Region, where water resources are not abundant, continuous virtual water output will exacerbate the local resource shortage. (3) The Yellow River Basin’s virtual water resources have obvious geographical distribution characteristics. The cross-provincial trade volume in the downstream area is high; the virtual water trade volume in the upstream area is low, as it is in the midstream and downstream areas; the trade relationship is insufficient. The Henan and Shandong Provinces are located in the dominant flow direction of Yellow River Basin’s virtual water, while Gansu and Inner Mongolia are at the major water sources. Trade exchanges between the midstream and downstream and the upstream should be strengthened. Therefore, the utilization of water resources should be planned nationwide to reduce water pressures, and policymakers should improve the performance of agricultural water use within the Yellow River Basin and change the main trade industries according to the resource advantages and water resources situation of each of them.

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Hydroeconomic modeling for assessing water scarcity and agricultural pollution abatement policies in the Ebro River Basin, Spain

Cited by 28 publications

References 68 publications

Model Predictive Control Structures for Periodic ON–OFF Irrigation

Model Predictive Control Structures for Periodic ON–OFF Irrigation

Developing a Decision Support System for Regional Agricultural Nonpoint Salinity Pollution Management: Application to the San Joaquin River, California

Virtual Water Flow Pattern in the Yellow River Basin, China: An Analysis Based on a Multiregional Input–Output Model

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