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  • 1
    Online Resource
    Online Resource
    Introduction to Development Engineering : A Framework with Applications from the Field (2022)
    Cham : Springer International Publishing AG
    Details Availability
    Keywords: Electronic books
    Type of Medium: Online Resource
    Pages: 1 online resource (655 pages)
    ISBN: 9783030860653
    URL: https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=7083217
    Language: English
    Note: Description based on publisher supplied metadata and other sources
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  • 2
    Online Resource
    Online Resource
    Introduction to development engineering : a framework with applications from the field (2023)
    Cham : Springer
    Details Availability
    Keywords: Environmental engineering. ; Biotechnology. ; Bioremediation. ; Energy policy. ; Energy and state. ; Development economics. ; Economic development. ; Engineering design. ; Developmental psychology.
    Description / Table of Contents: Part I: A New Discipline: Development Engineering -- Chapter 1: The Role Of Technology In Development -- Chapter 2: The Development Engineering Framework: Innovate, Evaluate, Scale -- Chapter 3: Asking the Right Questions -- Part II: Water, Sanitation and Health -- Chapter 4: Advances In Water and Health Technologies -- Chapter 5: Case Study: Electrochemical Arsenic Remediation, India (Innovation) -- Chapter 6: Case Study: Information For Intermittent Water Supply, India (Evaluation) -- Chapter 7: Case Study: Mobile Phone Diagnostic Microscopy, Vietnam/Cameroon (Innovation, Scale) -- Part III: Governance -- Chapter 8: Technologies for Governance And Accountability -- Chapter 9: Case Study: Sensors For Aid Accountability, Rwanda (Evaluation, Scale) -- Chapter 10: Case Study: High Resolution Development Indicators, Afghanistan (Evaluation, Scale) -- Chapter 11: Case Study: Monitoring For Elections And Public Service Delivery, Kenya (Evaluation, Scale) -- Part IV: Energy and Resources -- Chapter 12: Advances in Energy & Environmental Technologies -- Chapter 13: Case Study: Economic Impacts Of Rural Electrification, Kenya (Evaluation, Scale) -- Chapter 14: Case Study: Cool Joule: Flexible Energy Loads, Nicaragua (Innovation, Evaluation) -- Chapter 15: Case Study: Cookstove Monitoring and Use In East Africa (Innovation, Evaluation) -- Part V: Information -- Chapter 16: Information and Communications Technology For Development -- Chapter 17: Case Study: Community Cellular Networks, Philippines (Innovation, Evaluation) -- Chapter 18: Case Study: ICT Solutions To Bring Telemedicine To Rural India (Innovation) -- Chapter 19: Case Study: Platforms For Development Data (ODK/Mezuri) (Innovation, Scale) -- PART VI: Markets (Incorporates Agriculture) -- Chapter 20: Technologies To Improve Market Performance -- Chapter 21: Case Study: Ag Market Information Platforms, India (Innovation, Evaluation, Scale) -- Chapter 22: Case Study: Agricultural Trading Platforms, Uganda (Innovation, Evaluation) -- Chapter 23: Case Study: Inventory And Supply Chain Tracking, Sri Lanka (Evaluation) -- PART VII: Human Capital (Incorporates Labor) -- Chapter 24: Increasing the Productivity of Human Capital -- Chapter 25: Case Study: Electronic Job Search Platforms, India (Evaluation, Scale) -- Chapter 26: Case Study: Customized E-Learning Innovations, India (Evaluation) -- Chapter 27: Case Study: TBD (Evaluation) -- PART VIII: Conclusion -- Chapter 28: Promising Directions in Development Engineering.
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (xxi, 652 Seiten) , Illustrationen
    ISBN: 9783030860653
    URL: https://doi.org/10.1007/978-3-030-86065-3
    DOI: 10.1007/978-3-030-86065-3
    Language: English
    Note: Literaturangaben
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  • 3
    Electronic Resource
    Electronic Resource
    Field study and numerical simulation of subslab ventilation systems (1992)
    s.l. : American Chemical Society
    Environmental science & technology 26 (1992), S. 1752-1759 
    Details
    ISSN: 1520-5851
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology , Energy, Environment Protection, Nuclear Power Engineering
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/es00033a006
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  • 4
    Electronic Resource
    Electronic Resource
    Relative Effectiveness of Sub-slab Pressurization and Depressurization Systems for Indoor Radon Mitigation: Studies with an Experimentally Verified Numerical Model (1994)
    Oxford, UK : Munksgaard International Publishers
    Indoor air 4 (1994), S. 0 
    Details
    ISSN: 1600-0668
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Architecture, Civil Engineering, Surveying , Medicine
    Notes: The performance of sub-slab-ventilation (SSV) systems has been parametrically studied with a numerical model that was earlier compared successfully with experiment (Bonnefous et al., 1992). The model distinguishes between the sub-slab gravel and the underlying soil. It is used w examine system performance for the following system parameters: the permeability of the soil and of the sub-slab gravel, the magnitude of pressurization (or depressurization) applied by the SSV system, and the mode of SSV application (i.e. pressurization (SSP) or depressurization (SSD)). The mechanisms contributing to the successful performance of SSP and SSD systems are identified. For SSD systems, the mechanisms are (1) the inversion of the pressure gradient across the basement slab, and (2) the reduction of the radon concentration in the soil. For SSP systems, the mechanisms are (1) the elimination of convective flow of soil-gas from the soil into the sub-slab gravel by pressurization of the sub-slab region, (2) the reduction of the radon concentration in the soil, and (3) the suppression of diffusion of soil-gas from the soil into the sub-slab gravel by advective flow of air from the gravel bed into the subgravel soil. Numerical modeling demonstrates that placement of a sub-slab gravel layer substantially improves the SSV system performance. Except in the case of highly permeable soils, SSD systems are predicted to perform better than SSP systems. This prediction is consistent with reported field experience. The numerical model is used to elucidate the reasons for this difference in performance.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1600-0668.1994.00007.x
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