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Experiment Design For Environmental Engineering : Methods and Examples
Language: English.Country: CA.Publication: Boca Raton : CRC Press, 2022Description: 350 P. : Couv; ill; en noir; fig; tabl. ; 16 cm × 24 cmISBN: 9781032017044.Abstract: Experiment Design for Environmental Engineering provides a wide range of practical environmental engineering laboratory experiments for implementation by students in a university laboratory or by practicing professionals in the field, along with an extensive discussion on how to design an experiment that will provide meaningful and useful data, how to interpret the data generated from an experiment, and how to present those data to an audience of other students or professionals. .Subject: How to Design an Engineering Experiment; Sampling Source Media; Expected Outcomes and Interpretation of Data; Model Design Methodology; Water Quality Experiments; Contaminant Removal Experiments Online Resources:Table of contents Item type:
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| Current library | Call number | Status | Barcode | |
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| مكتبة علوم الطبيعة والحياة | EBB/001/4/08/001 (Browse shelf(Opens below)) | Available | LNL/EBB/001/4/08/001 |
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| EBB/001/4/05/001 Climate, Environment and Disaster in Developing Countries | EBB/001/4/06/001 Environmental Degradation: , Challenges and Strategies for Mitigation | EBB/001/4/07/001 Environmental Degradation: , Monitoring, Assessment and Treatment Technologies | EBB/001/4/08/001 Experiment Design For Environmental Engineering, Methods and Examples | EBB/001/4/09/001 Extraction Techniques For Environmental Analysis | EBB/001/4/10/001 Fruits and Vegetable Wastes, Valorization to Bioproducts and Platform Chemicals | EBB/001/5/01/001 Hazardous Environmental Micro-pollutants, Health Impacts and Allied Treatment Technologies |
Experiment Design for Environmental Engineering provides a wide range of practical environmental engineering laboratory experiments for implementation by students in a university laboratory or by practicing professionals in the field, along with an extensive discussion on how to design an experiment that will provide meaningful and useful data, how to interpret the data generated from an experiment, and how to present those data to an audience of other students or professionals.
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