Field-scale simulation of runoff and water quality in a paddy field: A study of novel RWQSPad model

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY
Dawei Lin , Baolin Su , Wuzhi Yang , Ningbo Huang , Kun Zhao , Yutang Guan , Ya Liao , Jingwen Zhou
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引用次数: 0

Abstract

A Runoff & Water Quality Simulation model for Paddy fields (RWQSPad) based on water balance and nutrients mass balance was developed to simulate paddy hydrological process, nutrients (nitrogen and phosphorous) and chlorophyll-a dynamics at field scale. A paddy field was separated into flooded water layer and soil layer, and a plant growth component of EPIC model was applied to simulate crop interception and evapotranspiration. Parameters named minimum suitable water depth (Hd), maximum suitable water depth (Hu) and minimum ridge height (Ht) were introduced to control the processes of irrigation and runoff. Besides that, all the important nutrients transformation processes that take place in flooded rice field were considered by the first-order reaction kinetics equations. The effect of limitations of light, temperature and nutrients to floating-algae dynamics indicated by chlorophyll-a was taken into account. The application of RWQSPad model in a paddy field plot of the Shangzhuan Town, Beijing, China showed that the model can simulate well the hydrological, nitrogen and phosphorous transformation processes and chlorophyll-a dynamics in surface water in the paddy field. Simultaneously, it also demonstrated a good level of runoff simulation which can fit quite well with the observed data and a great potential in simulating rainfall-runoff-pollution. RWQSPad model gives more reasonable results of the runoff amount and nutrient losses, and shows a better performance on the modelling of drainage processes.
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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