Rivers’ Temporal Sustainability through the Evaluation of Predictive Runoff Methods
| Autor: | José-Luis Molina, Santiago Zazo, María-Carmen Patino-Alonso, Ana-María Martín-Casado |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
causal reasoning
010504 meteorology & atmospheric sciences 0208 environmental biotechnology Geography Planning and Development temporal dependence TJ807-830 runoff 02 engineering and technology Management Monitoring Policy and Law Structural basin TD194-195 01 natural sciences Renewable energy sources runoff fractions water management rivers’ sustainability Quantitative assessment Environmental impact assessment GE1-350 0105 earth and related environmental sciences Environmental effects of industries and plants Renewable Energy Sustainability and the Environment predictive methods 020801 environmental engineering Environmental sciences Sustainability Internal memory Environmental science Minification Water resource management Surface runoff Predictive methods |
| Zdroj: | Sustainability, Vol 12, Iss 5, p 1720 (2020) |
| ISSN: | 2071-1050 |
| Popis: | The concept of sustainability is assumed for this research from a temporal perspective. Rivers represent natural systems with an inherent internal memory on their runoff and, by extension, to their hydrological behavior, that should be identified, characterized and quantified. This memory is formally called temporal dependence and allows quantifying it for each river system. The ability to capture that temporal signature has been analyzed through different methods and techniques. However, there is a high heterogeneity on those methods’ analytical capacities. It is found in this research that the most advanced ones are those whose output provides a dynamic and quantitative assessment of the temporal dependence for each river system runoff. Since the runoff can be split into temporal conditioned runoff fractions, advanced methods provide an important improvement over classic or alternative ones. Being able to characterize the basin by calculating those fractions is a very important progress for water managers that need predictive tools for orienting their water policies to a certain manner. For instance, rivers with large temporal dependence will need to be controlled and gauged by larger hydraulic infrastructures. The application of this approach may produce huge investment savings on hydraulic infrastructures and an environmental impact minimization due to the achieved optimization of the binomial cost-benefit. |
| Databáze: | OpenAIRE |
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