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Dr. Andrea Nardini
Centro Italiano per la Riqualificazione Fluviale (CIRF)

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0 Integrated Water Resources Management
0 Mathematical Modeling
0 Sustainable Development
0 Decision Support Systems
0 fluvial geomorphology

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Concept paper
Published: 11 May 2021 in Water
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In this paper we propose a new framework to support river management and restoration in a more effective way, both conceptually and operationally, in view of an increasingly challenging future. ‘Development’ almost inevitably leads to modifications of rivers. These modifications are governed (at best) by planning exercises which typically encompass multiple and generally conflicting objectives (whether explicitly or implicitly). To address the inherent conflictual nature of a decision problem, it is key to measure the degree to which the objectives are (expected to be) met. This requires that suitable evaluation indices are established and assessed. To this purpose, we point out the important role of the Value Function technique inherited from Multicriteria Analysis. One of these objectives is the “Natural value N” of the river. We notice that a lot of ambiguity exists regarding its definition. To clarify this point, we develop a reasoning that makes it possible to structure and assess it in a conceptually sounder way, while clarifying the role of the two leading concepts: the Reference Conditions and the Leitbild. With regard to the relevant decisions involved, the delineation of the fluvial space, together with the improvement of the water quality and hydrological regime, represent the key issues that a decision making process should address, particularly thinking of the expected consequences of climate change. We propose henceforth a pragmatic, structured, adaptive planning framework which harmonizes all such concepts. We believe that this proposal may provide a useful contribution to improve and optimize river management and restoration.

ACS Style

Andrea Nardini; Giulio Conte. River Management & Restoration: What River Do We Wish for. Water 2021, 13, 1336 .

AMA Style

Andrea Nardini, Giulio Conte. River Management & Restoration: What River Do We Wish for. Water. 2021; 13 (10):1336.

Chicago/Turabian Style

Andrea Nardini; Giulio Conte. 2021. "River Management & Restoration: What River Do We Wish for." Water 13, no. 10: 1336.

Journal article
Published: 05 December 2020 in Geomorphology
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A solution is provided to automatically identify river reaches based on their planform typologies via a holistic synthesis of multi-dimensional, quali-quantitative information. Inspired by fuzzy logics, an algorithm is proposed which appraises the degree of fit of a range of archetypes based on formal criteria, applied over a discretized version of the river. The algorithm is fed by the values of a set of indicators relevant to the formal criteria. Indicators are determined from interpretation of remotely sensed data for each discrete “slice”. To ensure a spatially holistic view, the local indicators are first integrated over a variable significant length, thereby guaranteeing contextualization at the appropriate scale. For each indicator a specific Value Function (VF) translates its objective value into a partial fitness judgment; these judgments are then integrated within a multiattribute VF. The locally highest scoring VF determines the corresponding planform choice in each slice. As a by-product, the stretch (collection of consecutive slices) corresponding to that planform archetype is identified. Implementation of the algorithm for the Baker River in Chile shows promising results. The approach ensures self-consistency and repeatability of outputs. Beyond an initial subjective assessment of input criteria based on expert judgment, the method can be fully automated. As such it can support systematic, large scale river analyses and monitoring applications.

ACS Style

Andrea Nardini; Gary Brierley. Automatic river planform identification by a logical-heuristic algorithm. Geomorphology 2020, 375, 107558 .

AMA Style

Andrea Nardini, Gary Brierley. Automatic river planform identification by a logical-heuristic algorithm. Geomorphology. 2020; 375 ():107558.

Chicago/Turabian Style

Andrea Nardini; Gary Brierley. 2020. "Automatic river planform identification by a logical-heuristic algorithm." Geomorphology 375, no. : 107558.

Journal article
Published: 12 October 2020 in Water
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This paper proposes a systematic procedure to identify river reaches from a geomorphic point of view. Their identification traditionally relies on a subjective synthesis of multi-dimensional information (e.g., changes of slope, changes of width of valley bottom). We point out that some of the attributes adopted to describe geomorphic characters of a river (in particular sinuosity and confinement) depend on the length of reaches, while these latter are not yet identified; this is a source of ambiguity and introduces, at least conceptually, an unpleasant, implicit, iterative procedure. We introduce a new method which avoids this difficulty. Furthermore, it is simple, objective, and explicitly defined, and as such, it is automatable. The method requires to define and determine a set of intensive attributes, i.e., attributes that are independent of the segment length. The reaches are then identified by the intersection of the segmentations induced by such attributes. We applied the proposed procedure in two case studies, the Magdalena River (Colombia) and the Baker River (Chile), and investigated whether the adoption of the traditional approach for the definition of reaches would lead to a different result. We conclude that there would be no detectable differences. As such, the method can be considered an improvement in geomorphic river characterization.

ACS Style

Andrea Nardini; Santiago Yépez; Bruno Mazzorana; Héctor Ulloa; María Bejarano; Alain Laraque. A Systematic, Automated Approach for River Segmentation Tested on the Magdalena River (Colombia) and the Baker River (Chile). Water 2020, 12, 2827 .

AMA Style

Andrea Nardini, Santiago Yépez, Bruno Mazzorana, Héctor Ulloa, María Bejarano, Alain Laraque. A Systematic, Automated Approach for River Segmentation Tested on the Magdalena River (Colombia) and the Baker River (Chile). Water. 2020; 12 (10):2827.

Chicago/Turabian Style

Andrea Nardini; Santiago Yépez; Bruno Mazzorana; Héctor Ulloa; María Bejarano; Alain Laraque. 2020. "A Systematic, Automated Approach for River Segmentation Tested on the Magdalena River (Colombia) and the Baker River (Chile)." Water 12, no. 10: 2827.

Journal article
Published: 15 June 2020 in Geosciences
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This paper presents a systematic procedure for developing a characterization and classification of river reaches inspired by the River Styles Framework, through which insight can be gained about the understanding of river behavior. Our procedure takes advantage of several computer based “tools", i.e., algorithms implemented in software packages of various types, from "simple" Excel sheets to sophisticated algorithms in Python language, in general all supported by Geographic Information Systems (GIS). The main potentially useful, existing tools for this specific aim are discussed here, revealing their strengths and weaknesses. New, complementary or alternative tools that have been developed in the project feeding this paper are presented, which can contribute to the scientific community and stakeholders of the topic. The main result of our research is a structured and practical guide (a ToolBox Manual) that can support practitioners and researchers wishing to characterize and classify large rivers, based on the River Styles Framework. The main contribution is that this set of ideas, solutions, and tools, makes this type of exercise significantly more transparent and at the same time much less subjective. Moreover, the procedure is applicable to large systems and does not require more information than that generally available also in developing or emerging countries.

ACS Style

Andrea Nardini; Santiago Yépez; Maria Bejarano. A Computer Aided Approach for River Styles—Inspired Characterization of Large Basins: A Structured Procedure and Support Tools. Geosciences 2020, 10, 231 .

AMA Style

Andrea Nardini, Santiago Yépez, Maria Bejarano. A Computer Aided Approach for River Styles—Inspired Characterization of Large Basins: A Structured Procedure and Support Tools. Geosciences. 2020; 10 (6):231.

Chicago/Turabian Style

Andrea Nardini; Santiago Yépez; Maria Bejarano. 2020. "A Computer Aided Approach for River Styles—Inspired Characterization of Large Basins: A Structured Procedure and Support Tools." Geosciences 10, no. 6: 231.

Journal article
Published: 17 April 2020 in Water
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This paper addresses the geomorphic characterization and classification of large rivers in a framework of scarce information. This is inspired by the River Styles Framework with some modifications that make the process more straightforward and accessible to practitioners and more applicable to large basins, while reducing the subjective, expert-based inputs, as the process is now more systematic. To this aim, it utilizes innovative criteria and some computer-aided procedures and tools based on GIS, Excel and Python. This approach sheds light on the character and the behavior of rivers, which is key to informing planning, management and restoration. The application to the Magdalena River (Colombia) illustrates the characterization and classification process and the type of results, which ultimately highlight the great geomorphic diversity of that river. The process is applicable to many other rivers worldwide.

ACS Style

Andrea Nardini; Santiago Yepez; Lislie Zuniga; Carlo Gualtieri; Maria Dolores Bejarano. A Computer Aided Approach for River Styles—Inspired Characterization of Large Basins: The Magdalena River (Colombia). Water 2020, 12, 1147 .

AMA Style

Andrea Nardini, Santiago Yepez, Lislie Zuniga, Carlo Gualtieri, Maria Dolores Bejarano. A Computer Aided Approach for River Styles—Inspired Characterization of Large Basins: The Magdalena River (Colombia). Water. 2020; 12 (4):1147.

Chicago/Turabian Style

Andrea Nardini; Santiago Yepez; Lislie Zuniga; Carlo Gualtieri; Maria Dolores Bejarano. 2020. "A Computer Aided Approach for River Styles—Inspired Characterization of Large Basins: The Magdalena River (Colombia)." Water 12, no. 4: 1147.

Journal article
Published: 01 October 2018 in Información tecnológica
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Se han identificado las tipologías de viviendas más representativas en la ciudad de Riohacha en Colombia, para analizar el efecto de las inundaciones urbanas. Se aplicó la técnica de Análisis de Correspondencias Múltiples (ACM) en los datos previamente recolectados en una encuesta realizada a 411 viviendas de la zona afectada por inundaciones en la ola invernal 2010-2011. Se exploraron cuatro posibilidades entre la selección de los atributos a considerar y diferentes posibilidades de su medición en escalas cualitativas y cuantitativas. Se seleccionó el ACM3 que agrupó las viviendas en 13 tipologías de las cuales se seleccionaron las cinco más representativas, incluyendo las viviendas más vulnerables (viviendas de un piso con paredes de bahareque). El ACM demostró ser una herramienta apta, suficientemente versátil y manejable, a pesar que requiere realizar un zoom al mapa perceptual cuando el análisis se hace con numerosos casos.

ACS Style

Jhonny Pérez Montiel; Andrea Nardini; Yesenia P. Zuñiga. Identificación Multiatributo de Tipologías de Viviendas Vulnerables a Inundaciones en Riohacha, La Guajira-Colombia. Información tecnológica 2018, 29, 187 -202.

AMA Style

Jhonny Pérez Montiel, Andrea Nardini, Yesenia P. Zuñiga. Identificación Multiatributo de Tipologías de Viviendas Vulnerables a Inundaciones en Riohacha, La Guajira-Colombia. Información tecnológica. 2018; 29 (5):187-202.

Chicago/Turabian Style

Jhonny Pérez Montiel; Andrea Nardini; Yesenia P. Zuñiga. 2018. "Identificación Multiatributo de Tipologías de Viviendas Vulnerables a Inundaciones en Riohacha, La Guajira-Colombia." Información tecnológica 29, no. 5: 187-202.

Journal article
Published: 01 June 2018 in Información tecnológica
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Este artículo compara diversos índices de calidad del agua (ICA) aplicados en 235,3 km del río Ranchería, La Guajira-Colombia. La comparación de los ICA se realizó directamente con los valores numéricos de los índices discretizados en cinco rangos iguales (índices brutos) y con sus calificaciones, es decir los juicios ambientales (también en cinco clases) asociados a esos valores. La coherencia entre parejas de índices se analizó en ambos casos con el coeficiente de correlación de Spearman y la raíz del error cuadrático medio (RMSE). Se obtuvo mayor coincidencia, mejor correlación y menores desviaciones en el caso de los índices brutos. Este hecho evidencia la carencia de la relación entre los valores de los índices y su calificación. Se determina por tanto la necesidad de llevar a cabo un ejercicio de intercalibración para asegurar la coherencia entre los distintos índices.

ACS Style

Jhonny I. Pérez; Andrea G. Nardini; Andrés A. Galindo. Análisis Comparativo de Índices de Calidad del Agua Aplicados al Río Ranchería, La Guajira-Colombia. Información tecnológica 2018, 29, 47 -58.

AMA Style

Jhonny I. Pérez, Andrea G. Nardini, Andrés A. Galindo. Análisis Comparativo de Índices de Calidad del Agua Aplicados al Río Ranchería, La Guajira-Colombia. Información tecnológica. 2018; 29 (3):47-58.

Chicago/Turabian Style

Jhonny I. Pérez; Andrea G. Nardini; Andrés A. Galindo. 2018. "Análisis Comparativo de Índices de Calidad del Agua Aplicados al Río Ranchería, La Guajira-Colombia." Información tecnológica 29, no. 3: 47-58.

Journal article
Published: 24 June 2016 in Resources
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Colombia is undergoing a period of rapid development. In particular, the Magdalena-Cauca Rivers basin, and the Mojana region within it, is going to experience rapid expansion in infrastructure growth, entailing hydropower development, road and navigability works along hundreds of kilometers of channels, as well as standard flood control measures. This paper argues that unexpected and undesired outcomes are very likely to occur as a consequence of the hydraulic and geomorphological reaction of river systems to such development schemes; namely, we foresee heightened hydro-morphological risks, along with the loss of environmental services and strong increases in maintenance costs. River behavior has been the subject of extensive study by diverse disciplines. As a result, key principles of fluvial dynamics have been elucidated and specific quantitative prediction tools developed. In this paper we do rely on this wealth of knowledge. However, since specific local information and interpretative tools in Colombia are either lacking or unreliable, it is inevitable that, at the moment, any basin scale analysis has to remain qualitative and must incorporate several assumptions, leaving it open to questioning and further refinement. Nonetheless, we argue that advancing such type of speculative conjectures is the “right thing to do”. The undeniably desirable but hard to achieve alternative of waiting for sufficient datasets and tools would entail excessive delay in obtaining relevant answers while large-scale development would continue to occur with potentially damaging results. Therefore, our analysis is conceived along the precautionary principle. This paper is primarily aimed at technical advisors of policy makers as it offers scientifically-based arguments for informing the political debate, hopefully guiding decision makers towards better choices. Rather than advocating specific solutions, the focus is on pointing out the likely adverse consequences of the currently planned course of action.

ACS Style

Andrea Nardini; Freddy Leonardo Franco Idarraga. A Qualitative Hydro-Geomorphic Prediction of the Destiny of the Mojana Region (Magdalena-Cauca Basin, Colombia), to Inform Large Scale Decision Making. Resources 2016, 5, 22 .

AMA Style

Andrea Nardini, Freddy Leonardo Franco Idarraga. A Qualitative Hydro-Geomorphic Prediction of the Destiny of the Mojana Region (Magdalena-Cauca Basin, Colombia), to Inform Large Scale Decision Making. Resources. 2016; 5 (3):22.

Chicago/Turabian Style

Andrea Nardini; Freddy Leonardo Franco Idarraga. 2016. "A Qualitative Hydro-Geomorphic Prediction of the Destiny of the Mojana Region (Magdalena-Cauca Basin, Colombia), to Inform Large Scale Decision Making." Resources 5, no. 3: 22.