隨著人類活動的加劇和工業(yè)的迅速發(fā)展,帶來了一系列的環(huán)境問題,其中重金屬污染成為人們關(guān)注的環(huán)境問題之一。重金屬在環(huán)境中難以降解,可通過食物鏈富集危害人類健康。銻(Sb)屬于重金屬,Sb(Ⅲ)毒性高于Sb(Ⅴ),當(dāng)吸入高含量的Sb會導(dǎo)致銻中毒,會出現(xiàn)嘔吐、頭痛、呼吸困難等癥狀,嚴重時可能會死亡。砷(As)作為一種類金屬元素,因其進入生物體內(nèi)的毒性與重金屬的性質(zhì)相似,常常將其歸為重金屬污染物范疇之內(nèi),且As(Ⅲ)毒性也遠高于As(Ⅴ)。酸性礦山廢水、城市污水、工業(yè)廢水中富含大量重金屬離子,直接排放到環(huán)境中將嚴重破壞生態(tài)環(huán)境,故急需采取各種手段治理廢水中富含的重金屬離子。為降低環(huán)境中的重金屬含量,本研究采用四氧化三鐵及高鐵酸鈷分別負載氧化石墨烯形成的有序介孔納米材料用于去除模擬廢水中的Sb(Ⅲ)和As(Ⅲ)。兩種材料均采用化學(xué)沉積法成功合成,并通過X射線光電子能譜儀、掃描電鏡、拉曼光譜儀、傅里葉變換紅外光譜儀及磁力計、氮氣吸附、原子力顯微鏡、透射電鏡、X射線衍射儀、小角X射線衍射等儀器進行表征。此外,采用響應(yīng)面結(jié)合人工智能技術(shù)(如人工神經(jīng)網(wǎng)絡(luò)、遺傳算法、隨機森林、粒子群優(yōu)化算法)對去除過程Sb...

【文章頁數(shù)】：103 頁

【學(xué)位級別】：碩士

【文章目錄】：
ABBREVIATIONS
摘要
Abstract
1. Introduction
    1.1. Hazards of Sb and As
    1.2. Development and application of OMMs
    1.3. Preparation and characterization of graphene oxide-supported-metaloxide -based OMMs
        1.3.1. Preparation of graphene oxide-supported-metal oxide-based OMMs
        1.3.2. Characterization techniques
    1.4. Optimizing removal conditions
    1.5. Analysis of equilibrium isotherms, adsorption kinetics andthermodynamics
        1.5.1. Equilibrium Isotherms
        1.5.2. Removal kinetics
        1.5.3. Thermodynamics analysis
    1.6. Application of graphene oxide-supported-metal oxide-based OMMsfor the removal of pollutants
    1.7. Main objectives of the present study
2. Preparation of iron-based OMMs supported on GO
    2.1. Experiment section
        2.1.1. Experimental reagents and instruments
        2.1.2. Synthesis of GO and Fe₃O₄/GO
        2.1.3. Synthesis of CoFe₂O₄/GO
        2.1.4. Batch experimental design
    2.2. Results and discussion
        2.2.1. Characterization of Fe₃O₄/GO nanocomposites
        2.2.2. Characterization of CoFe₂O₄/GO nanocomposites
        2.2.3. Summary
3. RSM modeling and optimization
    3.1. Results and discussion
        3.1.1. Modeling and optimization of Sb(Ⅲ) removal by Fe₃O₄/GO
        3.1.2. Modeling and optimization of As(Ⅲ) removal by CoFe₃O₄/GO
    3.2. Summary
4. Modeling and optimization using AI tools
    4.1. Results and discussion
        4.1.1. Modeling and optimization for removal of Sb(Ⅲ) by Fe₃O₄/GO
        4.1.2. Modeling and optimization for removal of As(Ⅲ) by CoFe₂O₄/GO
    4.2. Summary
5. Isotherm, thermodynamic and kinetic studies
    5.1. Isotherm study
        5.1.1. Isotherm study for removal of Sb(Ⅲ) by Fe₃O₄/GO
        5.1.2. Isotherm study for the removal of As(Ⅲ) by CoFe₂O₄/GO
    5.2. Kinetic study
        5.2.1. Kinetic study for the removal of Sb(Ⅲ) by Fe₃O₄/GO
        5.2.2. Kinetic study for the removal of As(Ⅲ) by CoFe₂O₄/GO
    5.3. Thermodynamic analysis
        5.3.1. Thermodynamic study for the removal of Sb(Ⅲ) by Fe₃O₄/GO
        5.3.2. Thermodynamic study for the removal of As(Ⅲ) by CoFe₂O₄/GO
    5.4. Factor importance analysis
        5.4.1. Factorial importance analysis of Sb(Ⅲ) removal process
        5.4.2. Factorial importance analysis of As(Ⅲ) removal process
    5.5. Removal mechanism for Sb(Ⅲ) and As(Ⅲ)
        5.5.1. Removal mechanism for the removal of Sb(Ⅲ) by Fe₃O₄/GO
        5.5.2. Removal mechanism for the removal of As(Ⅲ) by CoFe₂O₄/GO
    5.6. Summary
6. Conclusion
7. Prospects
References
致謝
附錄



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