Determination of irrigation water use from multiple soil moisture observations at a fine spatial resolution: Preferred model optimization and fusion strategy
Year: 2026
Type: article
Abstract: Determining high-resolution irrigation water use (IWU) is essential for agricultural water management. However, current remote sensing and statistics-based approaches suffer from either a challenge of coarse spatial resolution or insufficient irrigation details. Given that IWU estimation is fundamentally dependent on soil moisture (SM) dynamics in accordance with the water balance principle, we have proposed a framework to determine the IWU amount using multiple SM observations at kilometer scale across the entire irrigated farmlands throughout China. This framework specifically focuses on investigating SM dynamics at which depth is optimal for estimating IWU, considering that irrigation water infiltration leads to asynchronous SM variations across soil column. Moreover, an optimal fusion strategy was implemented to mitigate the possible error of a single SM data on the determination of the individual IWU amount estimation. The proposed framework exhibits the best IWU estimates when considering SM dynamics at the top layer (0–10 cm), with a correlation coefficient (R) of 0.79 and an unbiased root mean square error (ubRMSE) of 4.14 km 3 /year compared with statistics collected from the China Water Resources Bulletin over a period of 10 years (2010–2019). This result demonstrates the feasibility of using satellite SM products to estimate the IWU amount. An optimal fusion strategy incorporating multiple satellite-based fine resolution SM products shows improved IWU estimates with an ubRMSE decrease of approximately 10 % (3.72 km 3 /year), indicating the effectiveness of multiple satellite SM datasets in reducing the uncertainty associated with IWU estimation. • A framework was proposed to determine irrigation water use from multiple soil moisture data fusion. • Surface soil moisture dynamics can be used to estimate irrigation water use. • An assessment covering 10 years in China yields an ubRMSE of 3.72 km 3 /year in irrigation estimates.
Source: Agricultural Water Management
Institutions: Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Chinese Academy of Sciences, Northwest Institute of Eco-Environment and Resources, Federal University Dutsin-Ma, Korea Institute of Civil Engineering and Building Technology, University of Chinese Academy of Sciences, Information Technology University, China Institute of Water Resources and Hydropower Research
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: gold
Estimated APC paid: $3,070
Award: G4099910539
OpenAlex ID: W7130311962
