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UID:pretalx-flowpath-2025-AARSTL@talks.staging.osgeo.org
DTSTART;TZID=CET:20250611T151000
DTEND;TZID=CET:20250611T152000
DESCRIPTION:Agricultural managed aquifer recharge (Ag-MAR) techniques invol
 ve intentional enhancement of groundwater recharge through agricultural pr
 actices to increase water availability in aquifers which can be used to su
 pport irrigation. Successful implementation of Ag-MAR requires thorough hy
 drogeological understanding and can be supported by mathematical models to
  quantify infiltrated volumes and to evaluate aquifer contamination risks.
  Ag-MAR could be relevant for long-term sustainability of rice production 
 in the Piedmont–Lombardy regions\, where 92% of the national rice produc
 tion is concentrated. Our study focuses on the Lomellina area (1250 km2)\,
  a sub-region of the Piedmont–Lombardy rice basin\, bordered by the Sesi
 a\, Po and Ticino rivers. This region is an alluvial plain with flat topog
 raphy (elevations between 52–133 m asl)\, where the phreatic aquifer is 
 very shallow and crucial for rice production.  Recently\, groundwater leve
 ls are declining due to changes in climate and rice irrigation management\
 , and the question is whether Ag-MAR can reverse this trend. In this study
 \, to estimate the recharge from the agricultural area and the extensive i
 rrigation channel network\, a modeling framework based on a semi-distribut
 ed application of the SWAP model (https://www.swap.alterra.nl/) was implem
 ented in QGIS and completed with a simple model simulating the percolation
  from the irrigation network. Then\, MODFLOW-6 was used to develop a trans
 ient model which includes surface recharge and the main natural and artifi
 cial streams and canals exchanging water with the aquifer. The groundwater
  flow model was calibrated using groundwater level time series from 22 mon
 itoring wells in the study area. This study was carried out in the context
  of the PROMEDRICE project (https://promedrice.org/\; PRIMA-Section2–202
 2) funded\, for the Italian partners\, by MUR (Italian Ministry of Univers
 ity and Research).
DTSTAMP:20260427T201517Z
LOCATION:Room R3
SUMMARY:Assessment of the Ag-MAR potential of rice flooding practices throu
 gh a groundwater flow model in the Piedmont–Lombardy rice basin in North
 ern Italy - Petra Baják
URL:https://talks.staging.osgeo.org/flowpath-2025/talk/AARSTL/
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