Membrane fouling is an inevitable obstacle of polyamide composite forward osmosis (FO) membranes in oily wastewater treatment. In this study, zwitterionic arginine (Arg) is grafted onto nascent self-made FO polyamide poly(ether sulfone) (PA-PES) membrane, imparting superior hydrophilic, antifouling, and antibacterial properties to the membrane. Detailed characterizations revealed that the Arg-modified (Arg-PES) membrane presented obviously surface positively charged and unique morphology. Results showed that our strategy endowed the optimized membrane, the water flux increased by 113.2% compared to the pristine membrane, respectively, meanwhile keeping high NaCl rejection > 93.9% (with DI water as feed solution and 0.5 M NaCl as draw solution, FO mode). The dynamic fouling tests indicated that the Arg-PES membranes exhibited much improved antifouling performance towards oily wastewater treatment. The flux recovery ratios of the membrane were as high as 92.0% for cationic emulsified oil (cetyl pyridinium chloride, CPC), 87.0% for neutral emulsified oil (Tween-80), and 86.0% for anionic emulsified oil (sodium dodecyl sulfate, SDS) after washing, respectively. Meanwhile, the Arg-PES membranes assembled with guanidine cationic groups exhibited an enhanced antibacterial property against E. coli, which exhibited a high antibacterial efficiency of approximately 96%. Consequently, the newly arginine functionalized FO membrane possesses impressive antifouling performance, while simultaneously resisting bacterial invasion, thus rendering it an ideal alternative for oily wastewater treatment in the FO process.

To comprehend the intricate interaction between water resources and food security, it is critical to examine the hidden water footprint (WF) of food consumption and its underlying causes within specific nations or areas. This study investigates the changes in the quality and structure of food consumption in China’s urban and rural areas from 2000 to 2020. Following the calculation of the WF associated with food consumption for both urban and rural populations, this study uses ArcGIS 10.6 software to map the spatial configuration of the provincial per capita WF. Moreover, the random forest model is utilized to uncover the salient determinants influencing the WF of food consumption in urban and rural contexts. Quantitatively, rural populations have witnessed a more pronounced acceleration in their per capita food WF compared with urban entities, with a notable upswing in the proportion of meat and poultry consumption. Spatially, regions exhibiting elevated WF for urban populations have transitioned from the western zones toward the southeast and northeast, whereas a marked east–west dichotomy is evident in rural areas. In terms of drivers, for urban demographics, economic variables emerge as paramount determinants for food WF, while rural areas underscore the prominence of natural and technological parameters. The insights garnered from this investigation bear profound implications for facilitating balanced nutritional intake among China’s urban and rural populations, alleviating food-related water resource pressures, and optimizing water resource utilization.