scholarly journals System Dynamics Modeling for Supporting Drought-Oriented Management of the Jucar River System, Spain

Water ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1407
Author(s):  
Adria Rubio-Martin ◽  
Manuel Pulido-Velazquez ◽  
Hector Macian-Sorribes ◽  
Alberto Garcia-Prats
Keyword(s):  
System Dynamics ◽  
Economic Impact ◽  
Water Resource ◽  
Management Strategies ◽  
River System ◽  
Drought Management ◽  
Management Options ◽  
Early Management ◽  
Operating Rules ◽  
Resource Systems

The management of water in systems where the balance between resources and demands is already precarious can pose a challenge and it can be easily disrupted by drought episodes. Anticipated drought management has proved to be one of the main strategies to reduce their impact. Drought economic, environmental, and social impacts affect different sectors that are often interconnected. There is a need for water management models able to acknowledge the complex interactions between multiple sectors, activities, and variables to study the response of water resource systems to drought management strategies. System dynamics (SD) is a modeling methodology that facilitates the analysis of interactions and feedbacks within and between sectors. Although SD has been applied for water resource management, there is a lack of SD models able to regulate complex water resource systems on a monthly time scale and considering multiple reservoir operating rules, demands, and policies. In this paper, we present an SD model for the strategic planning of drought management in the Jucar River system, incorporating dynamic reservoir operating rules, policies, and drought management strategies triggered by a system state index. The DSS combines features from early warning and information systems, allowing for the simulation of drought strategies, evaluating their economic impact, and exploring new management options in the same environment. The results for the historical period show that drought early management can be beneficial for the performance of the system, monitoring the current state of the system, and activating drought management measures results in a substantial reduction of the economic impact of droughts.

scholarly journals Challenges for the Integration of Water Resource and Drought-Risk Management in Spain

2019 ◽  
Vol 11 (2) ◽  
pp. 308 ◽  
Author(s):  
Jesús Vargas ◽  
Pilar Paneque
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Water Resource ◽  
Water Resources Management ◽  
Management Strategies ◽  
Drought Risk ◽  
Drought Management ◽  
Intergovernmental Panel ◽  
Resources Management ◽  
Increased Risk

Droughts are risks characterized by their complexity, uncertainty, and a series of other features, which differentiate them from other natural disasters and affect the strategies designed to manage them. These characteristics highlight the close relationship between drought management and water resources management. The following hypothesis is raised in this study—unsatisfactory integration of a drought-risk and water resources management strategies, increases the vulnerability to drought. To corroborate this hypothesis, the Spanish case was analyzed, where droughts are a recurrent phenomenon, due to the Mediterranean climate. Starting from the Intergovernmental Panel on Climate Change (IPCC) framework, which has been proposed to characterize vulnerability as a function of exposure, sensitivity, and adaptive capacity, this study analyzed the vulnerability in the Spanish River Basin Districts, through—(i) the integration of the predictable effects of climate change and the increased risk of exposure in hydrologic planning; (ii) the pressure on water resources that determines the sensitivity of the systems; and (iii) the development and implementation of drought management plans as a fundamental tool, in order to adapt before these events occur. The results showed that despite important advances in the process of conceiving and managing droughts, in Spain, there are still important gaps for an adequate integration of droughts risk into the water resource strategies. Therefore, despite the improvements, drought-risk vulnerability of the systems remained high.

scholarly journals Assessment of evolutionary algorithms for optimal operating rules design in real Water Resource Systems

2015 ◽  
Vol 69 ◽  
pp. 425-436 ◽  
Author(s):  
Néstor Lerma ◽  
Javier Paredes-Arquiola ◽  
Joaquín Andreu ◽  
Abel Solera ◽  
Giovanni M. Sechi
Keyword(s):  
Evolutionary Algorithms ◽  
Water Resource ◽  
Optimal Operating ◽  
Operating Rules ◽  
Resource Systems

scholarly journals System Dynamics-Multiple Objective Optimization Model for Water Resource Management: A Case Study in Jiaxing City, China

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 671
Author(s):  
Xiaoying Zhou ◽  
Feier Wang ◽  
Kuan Huang ◽  
Huichun Zhang ◽  
Jie Yu ◽  
...  
Keyword(s):  
Resource Management ◽  
System Dynamics ◽  
Water Resource ◽  
Water Allocation ◽  
Water Resource Management ◽  
Water Shortage ◽  
Multiple Objective ◽  
Multiple Objective Optimization ◽  
Model Framework

Predicting and allocating water resources have become important tasks in water resource management. System dynamics and optimal planning models are widely applied to solve individual problems, but are seldom combined in studies. In this work, we developed a framework involving a system dynamics-multiple objective optimization (SD-MOO) model, which integrated the functions of simulation, policy control, and water allocation, and applied it to a case study of water management in Jiaxing, China to demonstrate the modeling. The predicted results of the case study showed that water shortage would not occur at a high-inflow level during 2018–2035 but would appear at mid- and low-inflow levels in 2025 and 2022, respectively. After we made dynamic adjustments to water use efficiency, economic growth, population growth, and water resource utilization, the predicted water shortage rates decreased by approximately 69–70% at the mid- and low-inflow levels in 2025 and 2035 compared to the scenarios without any adjustment strategies. Water allocation schemes obtained from the “prediction + dynamic regulation + optimization” framework were competitive in terms of social, economic and environmental benefits and flexibly satisfied the water demands. The case study demonstrated that the SD-MOO model framework could be an effective tool in achieving sustainable water resource management.

Improving Performance Criteria in the Water Resource Systems Based on Fuzzy Approach

2021 ◽  
Vol 35 (2) ◽  
pp. 593-611
Author(s):  
Mohammad H. Golmohammadi ◽  
Hamid R. Safavi ◽  
Samuel Sandoval-Solis ◽  
Mahmood Fooladi
Keyword(s):  
Water Resource ◽  
Performance Criteria ◽  
Fuzzy Approach ◽  
Resource Systems

scholarly journals Acoustofluidic separation enables early diagnosis of traumatic brain injury based on circulating exosomes

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Zeyu Wang ◽  
Haichen Wang ◽  
Ryan Becker ◽  
Joseph Rufo ◽  
Shujie Yang ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Flow Cytometry ◽  
Brain Injury ◽  
Early Diagnosis ◽  
Tissue Injury ◽  
Management Strategies ◽  
Acoustic Properties ◽  
Early Management ◽  
Biomarker Analysis ◽  
Downstream Analysis

AbstractTraumatic brain injury (TBI) is a global cause of morbidity and mortality. Initial management and risk stratification of patients with TBI is made difficult by the relative insensitivity of screening radiographic studies as well as by the absence of a widely available, noninvasive diagnostic biomarker. In particular, a blood-based biomarker assay could provide a quick and minimally invasive process to stratify risk and guide early management strategies in patients with mild TBI (mTBI). Analysis of circulating exosomes allows the potential for rapid and specific identification of tissue injury. By applying acoustofluidic exosome separation—which uses a combination of microfluidics and acoustics to separate bioparticles based on differences in size and acoustic properties—we successfully isolated exosomes from plasma samples obtained from mice after TBI. Acoustofluidic isolation eliminated interference from other blood components, making it possible to detect exosomal biomarkers for TBI via flow cytometry. Flow cytometry analysis indicated that exosomal biomarkers for TBI increase in the first 24 h following head trauma, indicating the potential of using circulating exosomes for the rapid diagnosis of TBI. Elevated levels of TBI biomarkers were only detected in the samples separated via acoustofluidics; no changes were observed in the analysis of the raw plasma sample. This finding demonstrated the necessity of sample purification prior to exosomal biomarker analysis. Since acoustofluidic exosome separation can easily be integrated with downstream analysis methods, it shows great potential for improving early diagnosis and treatment decisions associated with TBI.

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