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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Norte / UEP-Parnaíba. |
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Data corrente: |
28/11/1995 |
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Data da última atualização: |
28/11/1995 |
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Autoria: |
OR, D.; GROENEVELD, D. P. |
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Afiliação: |
Utah State University; Inyo County Water Department. |
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Título: |
Stochastic estimation of plant-available soil water under fluctuating water table depths. |
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Ano de publicação: |
1994 |
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Fonte/Imprenta: |
Journal of Hydrology, v.163, p.43-64, 1994. |
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Idioma: |
Inglês |
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Conteúdo: |
Preservation of native valley-floor phreatophytes while pumping groundwater for export from Owens Valley, California, requires reliable predictions of plant water use. These predictions are compared with stored soil water within well field regions and serve as a basis for managing groundwater resources. Soil water measurement errors, variable recharge, unpredictable climatic conditions affecting plant water use, and modeling errors make soil water predictions uncertain and error-prone. We developed and tested a scheme based on soil water balance coupled with implementation of Kalman filtering (KF) for (1) providing physically based soil water storage predictions with prediction errors projected from the statistics of the various inputs, and (2) reducing the overall uncertainty in both estimates and predictions. The proposed KF-based scheme was tested using experimental data collected at a location on the Owens Valley floor where the water table was artificially lowered by groundwater pumping and later allowed to recover. Vegetation composition and per cent cover, climatic data, and soil water information were collected and used for developing a soil water balance. Predictions and updates of soil water storage under different types of vegetation were obtained for a period of 5 years. The main results show that: (1) the proposed predictive model provides reliable and resilient soil water estimates under a wide range of external conditions; (2) the predicted soil water storage and the error bounds provided by ... MenosPreservation of native valley-floor phreatophytes while pumping groundwater for export from Owens Valley, California, requires reliable predictions of plant water use. These predictions are compared with stored soil water within well field regions and serve as a basis for managing groundwater resources. Soil water measurement errors, variable recharge, unpredictable climatic conditions affecting plant water use, and modeling errors make soil water predictions uncertain and error-prone. We developed and tested a scheme based on soil water balance coupled with implementation of Kalman filtering (KF) for (1) providing physically based soil water storage predictions with prediction errors projected from the statistics of the various inputs, and (2) reducing the overall uncertainty in both estimates and predictions. The proposed KF-based scheme was tested using experimental data collected at a location on the Owens Valley floor where the water table was artificially lowered by groundwater pumping and later allowed to recover. Vegetation composition and per cent cover, climatic data, and soil water information were collected and used for developing a soil water balance. Predictions and updates of soil water storage under different types of vegetation were obtained for a period of 5 years. The main results show that: (1) the proposed predictive model provides reliable and resilient soil water estimates under a wide range of external conditions; (2) the predicted soil water storage ... Mostrar Tudo |
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Palavras-Chave: |
Available; Avaliacao; Fluctuating water; Plant. |
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Thesagro: |
Água; Planta; Solo. |
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Thesaurus Nal: |
soil; water. |
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Categoria do assunto: |
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Marc: |
LEADER 02135naa a2200241 a 4500
001 1075394
005 1995-11-28
008 1994 bl --- 0-- u #d
100 1 $aOR, D.
245 $aStochastic estimation of plant-available soil water under fluctuating water table depths.
260 $c1994
520 $aPreservation of native valley-floor phreatophytes while pumping groundwater for export from Owens Valley, California, requires reliable predictions of plant water use. These predictions are compared with stored soil water within well field regions and serve as a basis for managing groundwater resources. Soil water measurement errors, variable recharge, unpredictable climatic conditions affecting plant water use, and modeling errors make soil water predictions uncertain and error-prone. We developed and tested a scheme based on soil water balance coupled with implementation of Kalman filtering (KF) for (1) providing physically based soil water storage predictions with prediction errors projected from the statistics of the various inputs, and (2) reducing the overall uncertainty in both estimates and predictions. The proposed KF-based scheme was tested using experimental data collected at a location on the Owens Valley floor where the water table was artificially lowered by groundwater pumping and later allowed to recover. Vegetation composition and per cent cover, climatic data, and soil water information were collected and used for developing a soil water balance. Predictions and updates of soil water storage under different types of vegetation were obtained for a period of 5 years. The main results show that: (1) the proposed predictive model provides reliable and resilient soil water estimates under a wide range of external conditions; (2) the predicted soil water storage and the error bounds provided by ...
650 $asoil
650 $awater
650 $aÁgua
650 $aPlanta
650 $aSolo
653 $aAvailable
653 $aAvaliacao
653 $aFluctuating water
653 $aPlant
700 1 $aGROENEVELD, D. P.
773 $tJournal of Hydrology$gv.163, p.43-64, 1994.
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Embrapa Meio Norte / UEP-Parnaíba (CPAMN-UEPP) |
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| 6. |  | COELHO, E. F.; OR, D.; SOUSA, V. F. de. Aspectos básicos em fertirrigação. In: SOUSA, V. F. de; MAROUELLI, W. A.; COELHO, E. F.; PINTO, J. M.; COELHO FILHO, M. A. (Ed.). Irrigação e fertirrigação em fruteiras e hortaliças. Brasília, DF: Embrapa Informação Tecnológica, 2011. Cap. 6, p. 235-251.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Cocais; Embrapa Mandioca e Fruticultura. |
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