RZ-TRADEOFF: A New Model to Estimate Riparian Water and Air Quality Functions

摘要: Riparian zones are often used as best management practices due to their ability remove nitrate (NO3−) from subsurface flow. Research suggests that beyond local biogeochemical controls, the impact of riparian on nitrogen removal and other functions, such phosphorus dynamics greenhouse gas emissions, largely depends land-use/land-cover, hydrogeomorphology, weather. In this study, we therefore present RZ-TRADEOFF, a novel easily applicable model connects multiple functions characteristics (NO3− phosphate (PO43−), concentration in flow, total (TP) overland nitrous oxide (N2O), methane (CH4), carbon dioxide (CO2) water table) landscape hydrogeomorphic characteristics, weather, land-cover/land-use. RZ-TRADEOFF was developed with data past studies digital databases, validated collected literature. Three (water table, PO43− CO2) were observed be significantly influenced by climate/weather, while others primarily hydrogeomorphology land use. The percent bias normalized root mean square error respectively −3.35% 0.28 for 16.00% 0.34 NO3− concentration, −7.83% 20.82 removal, 6.64% 0.35 2.55% 0.17 TP 40.33% 0.23 N2O, 72.68% 0.18 CH4, −34.98% 0.91 CO2. From standpoint, advances our predict air quality using accessible over large areas its scalability.