基于RSM及SEM的水体自净多因素交互作用评估OA
Evaluation of Multifactor Interactions on Water Self-purification Based on Response Surface Methodology and Structural Equation Modeling
针对多因素交互作用对水体自净能力影响不明晰的问题,通过构建多因子正交试验,结合响应面法(RSM)和结构方程模型(SEM),揭示涵盖气象条件、污染物浓度值和生物作用3种类型在内的典型影响因素间的非线性交互机制.响应面法分析发现,当各因素在最优参数组合(温度24.8℃、溶氧量5.9mg/L、流速0.27 m/s、COD负荷量<100 mg/L、微生物丰度4.7×107 CFU/mL)时,自净效率η可显著提高,达83.24%,此时,氧传质效率达到峰值.另外,在二元因子交互作用中,最显著交互项T×DO的协同贡献率达45.52%.结构方程模型路径分析显示,流速和温度通过直接效应和间接效应(路径 v→DO→η,v→DO→Mi→η,T→DO→η,T→Mi→η,T→DO→Mi→η)双重机制影响水体自净过程,总效应相比单因素直接效应均提高0.25.研究证实环境因子间存在协同放大机制与显著阈值效应,该发现为复杂水环境下的水体自净能力及其影响因素评估提供了新的量化依据.
[Objective]This study investigates the synergistic and antagonistic effects of multiple factors on water self-purification capacity and examines self-purification efficiency of water under the combined influence of multiple factors,aiming to overcome the limitations of previous studies and provide new quantitative evidence for understand-ing water self-purification capacity in complex aquatic environments.[Methods]To investigate the interactions a-mong multiple factors affecting water self-purification capacity,orthogonal experiments were conducted on water samples collected from the northwest side of a lake in Wuhan,which was affected by mixed pollution from domestic sewage and industrial wastewater and contained a microbial community.The orthogonal experiment results were ana-lyzed using a combination of response surface methodology(RSM)and structural equation modeling(SEM)to re-veal the nonlinear interaction mechanisms among typical influencing factors,including meteorological conditions,pollutant concentration background values,and biological activity.[Results]The results of orthogonal experiments showed that water self-purification efficiency(η),nitrification rate(rN),and oxygen mass transfer efficiency(KLa)of water all varied nonlinearly across experimental groups,with maximum values observed at approximately temperature(T)=25℃,dissolved oxygen concentration(DO)=6 mg/L,flow rate(v)=0.1 m/s,microbial a-bundance(M)=5×107 CFU/mL,and chemical oxygen demand(C)=100 mg/L.RSM analysis indicated that at the optimal parameter combination(T=24.8 ℃,DO=5.9 mg/L,v=0.27 m/s,C<100 mg/L,and M=4.7×107 CFU/mL),η significantly increased to 83.24%,rN exceeded 1 mg/(L·h),and KLa reached its maximum.In ad-dition,in the binary factor interactions,the most significant interaction term was T× DO,with a synergistic contri-bution of 45.52%.SEM path analysis showed that v and T influenced the water self-purification process through both direct effect and indirect effect.Paths:v→DO→η;v→DO→Mi(microbial activity,including rN and M)→η;T→DO→η;T→Mi→η;T→DO→Mi→η,where the direct effect of v on water self-purification process was 0.41,and the indirect effect was 0.25;and the direct effect of T on water self-purification process was 0.35,and the indirect effect was 0.25.The total effect of T and v on water self-purification process increased by 0.25 compared with the direct effect of each factor alone.[Conclusion]The results confirm that there is a synergistic amplification mecha-nism and significant threshold effects among different environmental influencing factors.Binary factor interactions not only show significant effects,but also factors originally negatively correlated with water self-purification capacity can significantly reduce their inhibitory influence on water self-purification efficiency after complex interactions with other factors.Additionally,factors such as flow rate and temperature affect the water self-purification process both directly and indirectly through their effects on other influencing factors.These findings provide a new quantitative basis for evaluating water self-purification ability and its controlling factors in complex aquatic environments.
张钰杰;杨文俊
长江科学院河流研究所,武汉 430010长江科学院,武汉 430010
资源环境
水体自净能力多环境因素非线性交互机制响应面法(RSM)结构方程模型(SEM)
self-purification capacity of watermultiple environmental factorsnonlinear interaction mechanismresponse surface methodologystructural equation modeling
《长江科学院院报》 2026 (4)
86-93,8
国家自然科学基金重点项目(52130903)国家自然科学基金国家重大科研仪器研制项目(51527809)
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