Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

GroMoPo Metadata for LISFLOOD Irrigation Model


Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type: Resource
Storage: The size of this resource is 5.4 KB
Created: Apr 13, 2023 at 2:03 p.m.
Last updated: Apr 13, 2023 at 2:03 p.m.
Citation: See how to cite this resource
Sharing Status: Public
Views: 537
Downloads: 163
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

Abstract

We assess the sustainability of groundwater irrigation in the Euro-Mediterranean region. After analysing the available data on groundwater irrigation, we identify areas where irrigation causes groundwater depletion. To prevent the latter, we experiment with guidelines to restrict groundwater irrigation to sustainable levels, simulating beneficial and detrimental impacts in terms of improved environmental flow conditions and crop yield losses. To carry out these analyses, we apply the integrated model of water resources, irrigation and crop production LISFLOOD-EPIC. Crop growth is simulated accounting for atmospheric conditions and abiotic stress factors, including transpiration deficit. Four irrigation methods are modelled: drip, sprinkler, and intermittent and permanent flooding. Hydrologic and agricultural modules are dynamically coupled at the daily time scale through soil moisture, plant water uptake, and irrigation water abstraction and application. Water abstractions of other sectors are simulated based on requirement data. Water may be withdrawn from groundwater, rivers, lakes and reservoirs. As groundwater is abstracted to buffer the effects of drought, we use groundwater depletion to detect unsustainable water exploitation. We characterise reported data of annual groundwater abstractions for irrigation available at country and sub-national levels. Country data are the most complete, but their spatial resolution is often coarse. While the resolution of sub-national data is finer, their coverage is heterogeneous. Simulated and reported irrigation groundwater abstractions compare well in several areas, particularly in France, while some structural discrepancies emerge: simulated values tend to be larger than those reported, especially in southern Spain; and simulated inter-annual variability is significantly smaller than reported in some areas, most remarkably in Turkey. Potential causes of these discrepancies are simplified model assumptions influencing irrigation frequency and amounts; lack of high temporal and spatial resolution data on irrigated areas, and irrigation technologies and distribution; and possible unreported abstractions in areas where groundwater irrigation is significant. We identify areas undergoing groundwater depletion from model simulations. In the southern Iberian Peninsula, Greece, Middle East and northern Africa, most simulated depletion is caused by irrigation. In other Mediterranean areas, depletion is caused by all sectors combined. From well measurements of groundwater table depth in Spain, we find statistically significant decline rates affecting large areas of the south, thus in agreement with the model, but also areas in the north-eastern and central parts where model estimates detect no depletion. The comparison of model- and well-based depletion rates is limited by spatial scale differences and groundwater model assumptions, for which we suggest potential research directions. We design rules restricting irrigation groundwater abstraction to prevent groundwater depletion and minimise severe irrigation shortages. We optimise them and simulate their effects in the southern Iberian Peninsula. Irrigation restrictions cause crop yield reductions in groundwater-dependent irrigated areas, particularly in the Algarve and Segura river basin districts. At the same time, they positively impact environmental flows. This study shows the potential of integrated agro-hydrologic modelling for detecting water resources over-exploitation and exploring trade-offs between crop production, sustainable irrigation and ecosystem support.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Europe
North Latitude
67.3568°
East Longitude
45.6391°
South Latitude
36.8859°
West Longitude
-29.7480°

Content

Additional Metadata

Name Value
DOI 10.5194/asr-17-227-2020
Depth N/A
Scale Continental
Layers 3
Purpose Groundwater resources, Agricultural growth, Decision support
GroMoPo_ID 2017
IsVerified True
Model Code LISFLOOD-EPIC
Model Link https://doi.org/10.5194/asr-17-227-2020
Model Time 1990-2018
Model Year 2020
Creator Email kcompare@fsu.edu
Model Country Europe
Data Available Report/paper only
Developer Email emiliano.gelati@geo.uio.no
Dominant Geology Unsure
Developer Country Italy; Netherlands; Norway
Publication Title Assessing groundwater irrigation sustainability in the Euro-Mediterranean region with an integrated agro-hydrologic model
Original Developer No
Additional Information Integrated model of climate, groundwater, and agriculture across all of Europe
Integration or Coupling Surface water, Land surface model’, Water management
Evaluation or Calibration Unsure
Geologic Data Availability No

How to Cite

GroMoPo, K. Compare (2023). GroMoPo Metadata for LISFLOOD Irrigation Model, HydroShare, http://www.hydroshare.org/resource/5e6e8c05f21b4c8fa404509a3d5a7f28

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required