来源:Clean Technologies 发布时间:2025/10/20 17:17:32
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文献清单:【废水、固废处理】|MDPI Clean Technologies

期刊名:Clean Technologies

期刊主页:https://www.mdpi.com/journal/cleantechnol

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1.英文标题: Mercury Removal from Mining Wastewater by Phytoaccumulation in Autochthonous Aquatic Plant Species

中文标题: 通过本土水生植物物种的植物富集作用去除采矿废水中的汞

文章链接:https://www.mdpi.com/2571-8797/5/3/41

MDPI引用格式: Gomez, F.H.; Collivignarelli, M.C.; Masoud, A.M.N.; Carnevale Miino, M.; Torres, K.C.; Quintero, J.A.; Sorlini, S.; Vaccari, M. Mercury Removal from Mining Wastewater by Phytoaccumulation in Autochthonous Aquatic Plant Species. Clean Technol. 2023, 5, 839-851.

2.英文标题: Mathematical Modeling of Particle Terminal Velocity for Improved Design of Clarifiers, Thickeners and Flotation Devices for Wastewater Treatment

中文标题: 颗粒终端速度数学模型及其在废水处理澄清、浓缩与浮选设备优化设计中的应用

文章链接:https://www.mdpi.com/2571-8797/5/3/46

MDPI引用格式: Friso, D. Mathematical Modeling of Particle Terminal Velocity for Improved Design of Clarifiers, Thickeners and Flotation Devices for Wastewater Treatment. Clean Technol20235, 921-933.

3.英文标题: Eco-Friendly Cement Mortar with Wastewater Treatment Plant Sludge Upcycling

中文标题: 基于污水厂污泥高值化利用的生态友好型水泥砂浆

文章链接:https://www.mdpi.com/2571-8797/5/3/48

MDPI引用格式: Grabowski, T.T.; Pietrobelli, J.M.T.d.A.; Martins, R.J.E. Eco-Friendly Cement Mortar with Wastewater Treatment Plant Sludge Upcycling. Clean Technol20235, 961-972.

4.英文标题: Quantitating Wastewater Characteristic Parameters Using Neural Network Regression Modeling on Spectral Reflectance

中文标题: 基于光谱反射率神经网络回归模型的废水特征参数定量研究

文章链接:https://www.mdpi.com/2571-8797/5/4/59

MDPI引用格式: Fortela, D.L.B.; Travis, A.; Mikolajczyk, A.P.; Sharp, W.; Revellame, E.; Holmes, W.; Hernandez, R.; Zappi, M.E. Quantitating Wastewater Characteristic Parameters Using Neural Network Regression Modeling on Spectral Reflectance. Clean Technol20235, 1186-1202.

5.英文标题: Numerical Investigation for Power Generation by Microbial Fuel Cells Treating Municipal Wastewater in Guelph, Canada

中文标题: 加拿大圭尔夫市市政污水微生物燃料电池产电性能数值模拟研究

文章链接:https://www.mdpi.com/2571-8797/6/2/26

MDPI引用格式: Li, Y.; Yin, S. Numerical Investigation for Power Generation by Microbial Fuel Cells Treating Municipal Wastewater in Guelph, Canada. Clean Technol. 2024, 6, 497-512.

6.英文标题: Superhydrophobic Materials from Waste: Innovative Approach

中文标题: 基于废弃物的超疏水材料:创新制备策略

文章链接:https://www.mdpi.com/2571-8797/6/1/15

MDPI引用格式: Cannio, M.; Boccaccini, D.N.; Caporali, S.; Taurino, R. Superhydrophobic Materials from Waste: Innovative Approach. Clean Technol20246, 299-321.

7.英文标题: Reinforcement Fiber Production from Wheat Straw for Wastepaper-Based Packaging Using Steam Refining with Sodium Carbonate

中文标题: 基于碳酸钠辅助蒸汽精炼工艺利用麦秸制备废纸基包装增强纤维

文章链接:https://www.mdpi.com/2571-8797/6/1/16

MDPI引用格式: Hagel, S.; Schütt, F. Reinforcement Fiber Production from Wheat Straw for Wastepaper-Based Packaging Using Steam Refining with Sodium Carbonate. Clean Technol20246, 322-338.

8.英文标题: Co-Treatment of Food Waste and Municipal Sewage Sludge: Technical and Environmental Review of Biological and Thermal Technologies

中文标题: 餐厨垃圾与市政污泥协同处理:生物及热法工艺的技术与环境综合评价

文章链接:https://www.mdpi.com/2571-8797/6/3/44

MDPI引用格式: Gadaleta, G.; Todaro, F.; Giuliano, A.; De Gisi, S.; Notarnicola, M. Co-Treatment of Food Waste and Municipal Sewage Sludge: Technical and Environmental Review of Biological and Thermal Technologies. Clean Technol20246, 852-885.

9.英文标题: Use of Vegetable Waste for New Ecological Methods in Wool Fibre Treatments

中文标题: 基于蔬菜废弃物的羊毛纤维生态处理新技术研究

文章链接:https://www.mdpi.com/2571-8797/6/4/63

MDPI引用格式: Gavrilas, S.; Dochia, M.; S?rsan, A.-R.; Chereji, B.-D.; Munteanu, F.-D. Use of Vegetable Waste for New Ecological Methods in Wool Fibre Treatments. Clean Technol20246, 1326-1339.

10.英文标题: Applying the Efficiency Analysis Tree Method for Enhanced Eco-Efficiency in Municipal Solid Waste Management: A Case Study of Chilean Municipalities

中文标题: 应用效率分析树法提升市政固体废物管理的生态效率:基于智利城市的案例研究

文章链接:https://www.mdpi.com/2571-8797/6/4/75

MDPI引用格式: Sala-Garrido, R.; Mocholi-Arce, M.; Molinos-Senante, M.; Maziotis, A. Applying the Efficiency Analysis Tree Method for Enhanced Eco-Efficiency in Municipal Solid Waste Management: A Case Study of Chilean Municipalities. Clean Technol20246, 1565-1578.

 
 
 
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