SWAT-N2O coupler: An integration tool for soil N2O emission modeling

Gao, Xiang; Ouyang, Wei; Hao, Zengchao; Xie, Xianhong; Lian, Zhongmin; Hao, Xin; Wang, Xuelei

doi:10.1016/j.envsoft.2019.02.008

Cited by 13 publications

(14 citation statements)

References 42 publications

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“…The structural limitations pertaining to simulating rice paddies in standard SWAT codes described above have resulted in several research efforts to modify the model to better represent rice paddy water balance dynamics [15,[60][61][62][63][64]190] , irrigation systems used to support rice production [60,61,63,64,[83][84][85] , or pesticide transport [61,62,189] or nutrient transport [181,191,192] in paddy systems. Some of the modified models feature adaptations of the original pothole routine in order to simulate rice paddy hydrology similar to that depicted in Figure 12 [60][61][62]64,181,[190][191][192] . Other efforts feature entire new rice paddy modules rather than adapting the pothole routine [65,67] .…”

Section: Overview Of Recently Modified Swat Approachesmentioning

confidence: 99%

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Simulation of rice paddy systems in SWAT: A review of previous applications and proposed SWAT+ rice paddy module

Gassman

Jeong

Boulangé

et al. 2022

International Journal of Agricultural and Biological Engineering

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The Soil and Water Assessment Tool (SWAT) is an ecohydrological watershed-scale model which was initially developed in the early 1990s to simulate the impacts of land use, management systems, and climate on hydrology and/or water quality. First adopted in the U.S., the use of the model then spread to Europe and then later to Asia and other regions. The range of applications that SWAT has been applied to have also expanded dramatically, which influenced ongoing model development which has been virtually continuous over the past two decades. A key component of many SWAT applications in Asia is accounting for rice paddy production that is common in some subregions within the continent. However, most of these studies do not provide explicit details of how rice production was simulated in SWAT. Other research has revealed that significant problems occur when trying to represent rice paddy systems in standard versions of SWAT, due to limitations in algorithms based on the runoff curve number approach or the pothole option. In response, key modifications have been made to SWAT in recent studies that have resulted in a more accurate representation of rice paddy systems. These developments point to the need for the incorporation of an enhanced rice paddy module within SWAT to better capture rice paddy hydrological and pollutant dynamics, which would support improved use of the model in Asia and other rice production regions. Subtopics related to simulating rice production in SWAT are discussed as follows: 1) an overview of global rice production; 2) history of SWAT development; 3) typical approaches for simulating rice production; 4) problems associated with the typical approaches; 5) recent code modifications to address deficiencies in replicating rice paddy systems; 6) recommendations for developing a standard rice paddy module for future SWAT codes.

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Section: Overview Of Recently Modified Swat Approachesmentioning

confidence: 99%

“…Figure 12 shows a schematic of a typical representation of rice paddy water dynamics that have been reported in the literature for several modified SWAT models and for APEX-Paddy [15,[60][61][62][63][64]67,[83][84][85]180,181,190,191,192] .…”

Section: Typical Depiction Of Rice Paddies In Modified Swat Models An...mentioning

confidence: 99%

Simulation of rice paddy systems in SWAT: A review of previous applications and proposed SWAT+ rice paddy module

Gassman

Jeong

Boulangé

et al. 2022

International Journal of Agricultural and Biological Engineering

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“…For a detailed description of these as well as their limitations see Wang et al [12]. For example, the DAYCENT (Daily Century) and the DNDC (DeNitrification-DeComposition) models are two commonly used physically based, biogeochemical models that simulate N2O emissions at the plot or the field scale [17,18], and the SWAT (Soil and Water Assessment Tool) model can be used to simulate N2O emissions at the catchment scale [19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

“…In SWAT, nitrification is a function of soil temperature and soil moisture, while denitrification is a function of soil moisture, temperature, SOC, and soil NO3 − [29]. A few studies have been undertaken to develop a SWAT N2O submodule to partition N2O emissions from the SWAT simulated nitrification and denitrification [20][21][22][23][24][25]. All the submodules use different approaches and equations.…”

Section: Introductionmentioning

confidence: 99%

“…Most recently, Gao et al [20] established a database for N2O fluxes based on 4488 field measurements, and developed an empirical equation to simulate N2O emissions from an agricultural catchment in northeast China, specifically to predict N2O emissions from non-paddy fields. The N2O emissions from non-paddy fields are directly calculated with the simulated variables from SWAT of soil moisture, soil temperature and soil nitrogen [20].…”

Section: Introductionmentioning

confidence: 99%

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N2O Emissions from Two Austrian Agricultural Catchments Simulated with an N2O Submodule Developed for the SWAT Model

et al. 2021

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Nitrous oxide (N2O) is a potent greenhouse gas stemming mainly from nitrogen (N)-fertilizer application. It is challenging to quantify N2O emissions from agroecosystems because of the dearth of measured data and high spatial variability of the emissions. The eco-hydrological model SWAT (Soil and Water Assessment Tool) simulates hydrological processes and N fluxes in a catchment. However, the routine for simulating N2O emissions is still missing in the SWAT model. A submodule was developed based on the outputs of the SWAT model to partition N2O from the simulated nitrification by applying a coefficient (K2) and also to isolate N2O from the simulated denitrification (N2O + N2) with a modified semi-empirical equation. The submodule was applied to quantify N2O emissions and N2O emission factors from selected crops in two agricultural catchments by using NH4NO3 fertilizer and the combination of organic N and NO3− fertilizer as N input data. The setup with the combination of organic N and NO3− fertilizer simulated lower N2O emissions than the setup with NH4NO3 fertilizer. When the water balance was simulated well (absolute percentage error <11%), the impact of N fertilizer application on the simulated N2O emissions was captured. More research to test the submodule with measured data is needed.

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Biochar decreased N loss from paddy ecosystem under alternate wetting and drying in the Lower Liaohe River Plain, China

Zhang,

Chen,

Zhu

et al. 2024

Agricultural Water Management

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SWAT-N2O coupler: An integration tool for soil N2O emission modeling

Cited by 13 publications

References 42 publications

Simulation of rice paddy systems in SWAT: A review of previous applications and proposed SWAT+ rice paddy module

Simulation of rice paddy systems in SWAT: A review of previous applications and proposed SWAT+ rice paddy module

N2O Emissions from Two Austrian Agricultural Catchments Simulated with an N2O Submodule Developed for the SWAT Model

Biochar decreased N loss from paddy ecosystem under alternate wetting and drying in the Lower Liaohe River Plain, China

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