Nitrogen-loss reduction efficiencies of field–ditch–pond systems under different water management strategies in rice-growing regions of China
Year: 2026
Type: article
Abstract: Field–ditch–pond (FDP) systems alleviate nitrogen (N) loss from rice production through interception and purification; however, optimal strategies for N-loss regulation remain unclear. Therefore, we evaluated different water management strategies for N-reduction efficiency under FDP systems using FDP-NPS model in typical rice-growing regions of China. The ditch–pond proportions were 1.87–6.91%, and annual rainfall was 228.0–2713.2 mm. The “low‑water-level management” strategy for FDP system, consisting of water‑saving irrigation in fields and low‑water‑level regulation in ditch–ponds, synergistically intercepted over 93.72% of runoff from rainfall events. The N reduction efficiencies ( IR Nload ) were 42.68–89.55% in Northeast Plain, 46.01–85.94% in Mid-lower Yangtze River Basin, 27.18–76.44% in Southeast Coast, and 13.85–38.82% in Upper Yangtze River Basin. Adjusting the effective water depth of ditch–pond systems increased the high-intensity regulation of IR Nload by 7.74–36.23% over low- and medium-intensity regulation. The flexible regulatory strategies can further adapt to diverse rainfall events across dry, normal, and wet years while maintaining stable IR Nload with slight nationwide fluctuations (0.22–14.57%). Thus, region-specific optimization of water regulation should be prioritized over blind ditch–pond expansion for N pollution control and high-standard farmland construction.
Source: Agricultural Water Management
Institutions: University of Chinese Academy of Sciences, Innovation Academy for Precision Measurement Science and Technology, CAS, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Chinese Academy of Sciences, Institute of Hydrobiology, Northwest A&F University
Language: English
Subfield: Environmental Chemistry
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,070
OpenAlex ID: W7204450889
