SMARTIES
RIASSUNTO
SMARTIES coinvolge 12 partner europei e nordafricani per sviluppare un sistema web-gis che ottimizzi l’irrigazione e massimizzi i redditi aziendali. SMARTIES combina modelli di bilancio idrico ed energetico del suolo, modelli colturali, dati satellitari, stime giornaliere e stagionali del contenuto idrico del suolo. SMARTIES opera nella stagione irrigua, supportando l’irrigazione con previsioni settimanali e stagionali; nonché prima della stagione irrigua, predicendo fabbisogni irrigui e rese produttive a supporto delle scelte sugli ordinamenti colturali e l’irrigazione.
L’analisi economica, sviluppata dall’unità di ricerca DAFNE coinvolgendo ricercatori DEIM, ha fornito sia indicatori a scala aziendale, che valutano i benefici di SMARTIES per l’azienda agricola, sia un’analisi econometrica (Seemingly Unrelated Regressions) sul possibile impatto territoriale di questo sistema. Quest’ultima analisi ha definito i fattori che influenzano l’irrigazione in un campione RICA della Capitanata-Puglia (2011-2019) che include aziende che utilizzano solo acqua consortile, aziende che integrano con acqua di pozzo e aziende che usano solo acqua di pozzo. L’evapotraspirazione netta (ETN) è stata inserita tra i regressori per valutare in che misura le varie aziende adattano l’irrigazione all’andamento climatico.
La reattività all’ETN è risultata molto alta nell’area con abbondante disponibilità idrica e del tutto abnorme nell’area con poca acqua consortile e prelievi dai pozzi. In quest’area, una riduzione di ETN del 10% accresce l’irrigazione dell’anno successivo di uno straordinario 110%, l’opposto accade se ETN aumenta. Questa sproporzione fa fluttuare ampiamente le richieste degli agricoltori al Consorzio d’irrigazione, complicandone la gestione. SMARTIES potrà accrescere la comprensione della variabilità climatica, migliorando l’adattamento ad essa.
LINK
https://www.smarties.polimi.it/
PARTNERNARIATO
Partner | Nazione | Descrizione sintetica dei compiti di ciascun partner |
Politecnico di Milano (POLIMI) | Italy | Coordinatore del progetto internazionale, WP0, WP1, WP3, WP5 |
Università degli studi della Tuscia (UNITUS) | Italy | WP0, WP4, WP5 |
CNR – ISAFOM | Italy | WP1, WP2, WP5 |
Meteo operations Italia (MOPI) | Italy | WP2, WP3, WP5 |
Aswan university | Egitto | WP1, WP3, WP4, WP5 |
University of Valencia (UVEG) | Spagna | WP0, WP1, WP5 |
Centro de Investigación y Tecnología Agroalimentaria | Spagna | WP1, WP4, WP5 |
Centre d’Etudes Spatiales de la BIOsphère (CESBIO) | Francia | WP1, WP2, WP5 |
Luxembourg Institute of Science and Technology (LIST) | Lussemburgo | WP0, WP1, WP2, WP5 |
Chouaib Doukkali University (UCD) | Marocco | WP0, WP1, WP3, WP5 |
Ecole Supérieure des Ingénieurs de Medjez El Bab (ESIM) | Tunisia | WP1, WP2, WP3, WP5 |
Institut National de Recherches en Génie Rural, Eaux et FWPêts (INRGREF) | Tunisia | WP1, WP2, WP3, WP5 |
Institut Supérieur Agronomique Chott Mériem (ISA) | Tunisia | WP1, WP2, WP3, WP5 |
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