Autonomous real-time adaptive management of soil salinity using a receding horizon control algorithm: A pilot-scale demonstration
Soil salinization is a potentially negative side effect of irrigation with reclaimed water. While optimization schemes have been applied to soil salinity control, these have typically failed to take advantage of real-time sensor feedback. This study incorporates current soil observation technologies...
| Publicado en: | Journal of Environmental Management Vol. 92; no. 10; pp. 2619 - 2628 |
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| Autores principales: | , |
| Formato: | Artículo |
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Academic Press Inc.
Oct2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=63555128&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 63555128 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Oct2011 vid: 92 iid: 10 pid: 735 pub: Academic Press Inc. artinfo: ui: 63555128 10.1016/j.jenvman.2011.05.034 ppf: 2619 ppct: 9 formats: tig: atl: Autonomous real-time adaptive management of soil salinity using a receding horizon control algorithm: A pilot-scale demonstration aug: au: Park, Yeonjeong Harmon, Thomas C. affil: School of Engineering, University of California, 5200 North Lake Rd. Merced, CA 95343, USA su: Environmental management Adaptive natural resource management Water reuse Soil salinization Soil management Control of soil salinization Irrigation management sug: subj: Water Supply and Irrigation Systems Soil Preparation, Planting, and Cultivating Environmental management Adaptive natural resource management Water reuse Soil salinization Soil management Control of soil salinization Irrigation management keyword: adaptive management Autonomous feedback control Irrigation scheduling Real-time sensor data Receding horizon control Reclaimed water reuse Soil salinity control adaptive management Autonomous feedback control Irrigation scheduling Real-time sensor data Receding horizon control Reclaimed water reuse Soil salinity control ab: Soil salinization is a potentially negative side effect of irrigation with reclaimed water. While optimization schemes have been applied to soil salinity control, these have typically failed to take advantage of real-time sensor feedback. This study incorporates current soil observation technologies into the optimal feedback-control scheme known as Receding Horizon Control (RHC) to enable successful autonomous control of soil salinization. RHC uses real-time sensor measurements, physically-based state prediction models, and optimization algorithms to drive field conditions to a desired environmental state by manipulating application rate or irrigation duration/frequency. A simulation model including the Richards equation coupled to energy and solute transport equations is employed as a state estimator. Vertical multi-sensor arrays installed in the soil provide initial conditions and continuous feedback to the control scheme. An optimization algorithm determines the optimal irrigation rate or frequency subject to imposed constraints protective of soil salinization. A small-scale field test demonstrates that the RHC scheme is capable of autonomously maintaining specified salt levels at a prescribed soil depth. This finding suggests that, given an adequately structured and trained simulation model, sensor networks, and optimization algorithms can be integrated using RHC to autonomously achieve water reuse and agricultural objectives while managing soil salinization. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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