Basin Scale Soil Moisture Estimation with Grid SWAT and LESTKF Based on WSN

Abstract

This research utilized in situ soil moisture observations in a coupled grid Soil and Water Assessment Tool (SWAT) and Parallel Data Assimilation Framework (PDAF) data assimilation system, resulting in significant enhancements in soil moisture estimation. By incorporating Wireless Sensor Network (WSN) data (WATERNET), the method captured and integrated local soil moisture characteristics, thereby improving regional model state estimations. The use of varying observation search radii with the Local Error-subspace Transform Kalman Filter (LESTKF) resulted in improved spatial and temporal assimilation performance, while also considering the impact of observation data uncertainties. The best performance (improvement of 0.006 m3/m3) of LESTKF was achieved with a 20 km observation search radii and 0.01 m3/m3 observation standard error. This study assimilated wireless sensor network data into a distributed model, presenting a departure from traditional methods. The high accuracy and resolution capabilities of WATERNET’s regional soil moisture observations were crucial, and its provision of multi-layered soil temperature and moisture observations presented new opportunities for integration into the data assimilation framework, further enhancing hydrological state estimations. This study’s implications are broad and relevant to regional-scale water resource research and management, particularly for freshwater resource scheduling at small basin scales.

Using 5TE Sensors for Monitoring Moisture Conditions in Green Parks

“…A wireless sensor network (WSN) is an approach to collect data for extended and remote areas. Zhang et al [ 27 ] claimed that in situ soil moisture observation can be reported in a radius exceeding 20 km. This is mainly dependent on careful selection of the required range.…”

Biomimetic spray coating for fruit preservation based on UiO-1 67 metal–organic framework nanozyme

“…Researchers have prepared a series of new nanoenzymes based on MOFs, which show excellent enzyme-like activities and good prospects for application (Natalini et al, 2021;Ni et al, 2021;Zhang et al, 2023). Wang et al synthesized a Cu-MOF with peroxidase-like activity using Cu 2+ and 4,4 ′ -bipyridine using a coordinated induction strategy (Chen et al, 2020).…”