Estimating nitrogen flux from a watershed using hydrological model
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- SHIMIZU Yuta
- National Agriculture and Food Research Organization (NARO) Western Region Agricultural Research Center (WARC), JSPS Research Fellow
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- ONODERA Shin-ichi
- Graduate School of Integrated Arts and Sciences, Hiroshima University
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- MATSUMORI Kenji
- National Agriculture and Food Research Organization (NARO) Western Region Agricultural Research Center (WARC)
Bibliographic Information
- Other Title
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- 水文流出モデルを用いた流域からの窒素流出量推定
- 水文流出モデルを用いた流域からの窒素流出量推定 : 現状と課題
- スイモン リュウシュツ モデル オ モチイタ リュウイキ カラ ノ チッソ リュウシュツリョウ スイテイ : ゲンジョウ ト カダイ
- —現状と課題—
- —an overview of recent achievements and future directions—
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Abstract
Hydrological models have been applied to estimate water budget and nitrogen flux in watersheds. In order to discuss problems in the application of the models for the estimation, descriptions for nitrogen processes in the models were reviewed and summarize an aspect of improvement. As the results, there are possibilities of improvement of the processes in rainfall-runoff, groundwater, impoundments and denitrificaion. Lacking of concept of hydrological processes in rice paddy field and septic tank was found because the majority of models have been developed in Europe and the United States. Due to this problem, improvement of these processes was necessary if the models apply to agricultural or suburban watersheds in Japan. Consequently, it is necessary to pay attention for application of the models for estimation nitrogen flux, especially in the case of estimation of the contribution to river discharge due to the problems. For solution of the problems, confirmation of the model applicability, improvement of processes of nitrogen dynamics in the models and coupling with external specific models is suggested.
Journal
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- Journal of Japanese Association of Hydrological Sciences
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Journal of Japanese Association of Hydrological Sciences 44 (4), 207-223, 2014
THE JAPANESE ASSOCIATION OF HYDOROLOGICAL SCIENCES
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Details 詳細情報について
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- CRID
- 1390282679399014784
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- NII Article ID
- 130004706602
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- NII Book ID
- AA11123427
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- ISSN
- 18837166
- 13429612
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- NDL BIB ID
- 025975873
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed