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　　在微觀尺度上，針對污泥性質復雜多變使得其調理脫水過程難以量化控制的難題，研究了污泥多理化特性協(xié)同影響調理過程的規(guī)律，建立了量化調理劑添加量的多因子耦合模型，構建了一個“雙系統(tǒng)”概念模型，用于表征污泥的調理與脫水過程，相關性系數(shù)從傳統(tǒng)模型的0.54提升至新模型的0.93。相關研究成果以" Synergistic effect of organic matter-floc size-bound water and multifactorial quantitative model of optimal reagent demand in sewage sludge conditioning process prior to dewatering "為題發(fā)表于《Water Research》。 

　　圖1 污泥調理脫水“雙系統(tǒng)”影響模型 

　　在河庫尺度上，針對水動力條件變化誘發(fā)水庫泥沙沉積、水體富營養(yǎng)化、水華頻發(fā)等大型河庫系統(tǒng)亟待突破的難題，構建了三峽水庫全庫區(qū)干支流水動力-泥沙-水質耦合模型，揭示了潮汐式調度對三峽水庫水動力條件、物質通量、物質滯留率的影響機制。相關研究成果以" Large-scale sediment and phosphorus transport in the Three Gorges Reservoir based on a new reservoir operation method. Environmental Research "為題發(fā)表于《Environmental Research》。 

　　圖2 基于水動力-泥沙-水質耦合模型的潮汐式調度下水沙和磷輸移特征 

　　在流域尺度上，針對大中型流域碎片化管理方式難以實現(xiàn)最佳治理效果的問題，在水環(huán)境模擬基礎上引入了Gi* statistic算法，揭示了非點源污染在流域中的聚集特征，從流域管理的角度為辨識嘉陵江水污染的關鍵治理區(qū)提供了新的思路。相關研究成果以"Identifying critical regions for nitrogen and phosphorus loss management in a large-scale complex basin: The Jialing River"為題發(fā)表于《Environmental Research》。 

　　圖3 基于水環(huán)境模型的嘉陵江關鍵治理區(qū)分布及面積特征 

　　論文信息: 

　　(1) Tan, X., Zeng, S.D., Chen, Z., Lv, M.Q., Tang, X.Y., He, X.X., Chen, Y.J., Wan, Y., Zhang, J.P., 2024. Synergistic effect of organic matter-floc size-bound water and multifactorial quantitative model of optimal reagent demand in sewage sludge conditioning process prior to dewatering. Water Research. 251, 121108. https://doi.org/https://doi.org/10.1016/j.watres.2024.121108. 

　　(2) Tang, X.Y., Zeng, S.D., Huang, G.X., Tong, S.C., Qiao, F., Ren, Y.X, Zhang, X.X., 2023. Large-scale sediment and phosphorus transport in the Three Gorges Reservoir based on a new reservoir operation method. Environmental Research. 233, 116386. https://doi.org/10.1016/j.envres.2023.116386. 

　　(3) Ren, Y., Xia, J., Zeng, S., Song, J., Tang, X., Yang, L., Lv, P., Fan, D., 2023. Identifying critical regions for nitrogen and phosphorus loss management in a large-scale complex basin: The Jialing River. Environmental Research. 232, 116359. http://doi.org/10.1016/j.envres.2023.116359.