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Preliminary empirical models to predict reductions in total and low flows resulting from afforestation

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dc.contributor.author Scott, DF en_US
dc.contributor.author Smith, RE en_US
dc.date.accessioned 2007-03-27T12:32:53Z en_US
dc.date.accessioned 2007-06-07T10:08:01Z
dc.date.available 2007-03-27T12:32:53Z en_US
dc.date.available 2007-06-07T10:08:01Z
dc.date.copyright en_US
dc.date.issued 1997-04 en_US
dc.identifier.citation Scott, DF and Smith, RE. 1997. Preliminary empirical models to predict reductions in total and low flows resulting from afforestation. Water SA, vol. 23(2), pp 135-140 en_US
dc.identifier.issn 0378-4738 en_US
dc.identifier.uri http://hdl.handle.net/10204/2112 en_US
dc.identifier.uri http://hdl.handle.net/10204/2112
dc.description.abstract Mathematical models to predict runoff reductions due to afforestation are presented. The models are intended to aid decision-makers and planners who need to evaluate the water requirements of competing land uses at a district or regional scale. Five afforestation catchment experiments were analysed by the paired catchment method to determine the reductions in both total (annual) and low flows. The percentage reduction in flow after afforestation with both eucalypts and pines was determined for each post-treatment year relative to the expected flow based on a calibration relationship with an untreated (control) catchment. The authors fitted curves to these data points to predict the effects of afforestation under optimal and sub-optimal growing conditions. Eucalypt plantations were found to deplete both total and low flows sooner and in larger quantities than pine stands. en_US
dc.format.extent 562056 bytes en_US
dc.format.mimetype application/pdf en_US
dc.language.iso en en_US
dc.publisher Water Research Commission en_US
dc.rights Copyright: 1997 Water Research Commission en_US
dc.source en_US
dc.subject Afforestation effects en_US
dc.subject Runoff reductions en_US
dc.subject Eucalypt plantations en_US
dc.subject Catchments en_US
dc.subject Water resources en_US
dc.title Preliminary empirical models to predict reductions in total and low flows resulting from afforestation en_US
dc.type Article en_US
dc.identifier.apacitation Scott, D., & Smith, R. (1997). Preliminary empirical models to predict reductions in total and low flows resulting from afforestation. http://hdl.handle.net/10204/2112 en_ZA
dc.identifier.chicagocitation Scott, DF, and RE Smith "Preliminary empirical models to predict reductions in total and low flows resulting from afforestation." (1997) http://hdl.handle.net/10204/2112 en_ZA
dc.identifier.vancouvercitation Scott D, Smith R. Preliminary empirical models to predict reductions in total and low flows resulting from afforestation. 1997; http://hdl.handle.net/10204/2112. en_ZA
dc.identifier.ris TY - Article AU - Scott, DF AU - Smith, RE AB - Mathematical models to predict runoff reductions due to afforestation are presented. The models are intended to aid decision-makers and planners who need to evaluate the water requirements of competing land uses at a district or regional scale. Five afforestation catchment experiments were analysed by the paired catchment method to determine the reductions in both total (annual) and low flows. The percentage reduction in flow after afforestation with both eucalypts and pines was determined for each post-treatment year relative to the expected flow based on a calibration relationship with an untreated (control) catchment. The authors fitted curves to these data points to predict the effects of afforestation under optimal and sub-optimal growing conditions. Eucalypt plantations were found to deplete both total and low flows sooner and in larger quantities than pine stands. DA - 1997-04 DB - ResearchSpace DP - CSIR KW - Afforestation effects KW - Runoff reductions KW - Eucalypt plantations KW - Catchments KW - Water resources LK - https://researchspace.csir.co.za PY - 1997 SM - 0378-4738 T1 - Preliminary empirical models to predict reductions in total and low flows resulting from afforestation TI - Preliminary empirical models to predict reductions in total and low flows resulting from afforestation UR - http://hdl.handle.net/10204/2112 ER - en_ZA


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