PrISM at Operational Scale: Monitoring Irrigation District Water Use during Droughts
Visualitza/Obre
Autor/a
Paolini, Giovanni
Escorihuela, Maria Jose
Merlin, Olivier
Pellarin, Thierry
Data de publicació
2024-03-22ISSN
2072-4292
Resum
Efficient water management strategies are of utmost importance in drought-prone regions, given the fundamental role irrigation plays in avoiding yield losses and food shortages. Traditional methodologies for estimating irrigation amounts face limitations in terms of overall precision and operational scalability. This study proposes to estimate irrigation amounts from soil moisture (SM) data by adapting the PrISM (Precipitation Inferred from Soil Moisture) methodology. The PrISM assimilates SM into a simple Antecedent Precipitation Index (API) model using a particle filter approach, which allows the creation and estimation of irrigation events. The methodology is applied in a semi-arid region in the Ebro basin, located in the north-east of Spain (Catalonia), from 2016 to 2023. Multi-year drought, which started in 2020, particularly affected the region starting from the spring of 2023, which led to significant reductions in irrigation district water allocations in some of the areas of the region. This study demonstrates that the PrISM approach can correctly identify areas where water restrictions were adopted in 2023, and monitor the water usage with good performances and reliable results. When compared with in situ data for 8 consecutive years, PrISM showed a significant person’s correlation between 0.58 and 0.76 and a cumulative weekly root mean squared error (rmse) between 7 and 11 mm. Additionally, PrISM was applied to three irrigation districts with different levels of modernization, due to the different predominant irrigation systems: flood, sprinkler, and drip. This analysis underlined the strengths and limitations of PrISM depending on the irrigation techniques monitored. PrISM has good performances in areas irrigated by sprinkler and flood systems, while difficulties are present over drip irrigated areas, where the very localized and limited irrigation amounts could not be detected from SM observations.
Tipus de document
Article
Versió del document
Versió publicada
Llengua
English
Matèries (CDU)
631 - Agricultura. Agronomia. Maquinària agrícola. Sòls. Edafologia agrícola
Pàgines
16
Publicat per
MDPI
Publicat a
Remote Sensing
Citació
Paolini, Giovanni, Maria Jose Escorihuela, Joaquim Bellvert, Olivier Merlin, and Thierry Pellarin. 2024. “PrISM at Operational Scale: Monitoring Irrigation District Water Use during Droughts.” Remote Sensing 16 (7): 1116. https://doi.org/10.3390/rs16071116.
Número de l'acord de la subvenció
EC/H2020/823965/EU/Accounting for Climate Change in Water and Agriculture management/ACCWA
MICIU/Programa Estatal de I+D+I orientada a los retos de la sociedad/PCI2019-103649/ES/Managing water resources within Mediterranean agrosystems by accounting for spatial structures and connectivities/ALTOS
EC/PRIMA/ANR-19-P026-003/EU/Irrigation and Drainage monitoring by remote sensing for Ecosystems and Water resources management/IDEWA
Programa
Ús Eficient de l'Aigua en Agricultura
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