Comparison Efficiency of DNDC and DAYCENT Models in Sensitivity Analysis of Greenhouse Gases Estimation

Abstract Background and Objective: Emission of greenhouse gases and their effects on global warming is one of the most serious challenges facing developed and developing countries. Examining emissions of greenhouse gases from different countries makes it possible to determine share of countries in g...

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Autores principales:	Nasrin Moradimajd, Gholam Abbas Fallahghalhari
Formato:	article
Lenguaje:	FA
Publicado:	University of Tabriz 2021
Materias:	keywords: residential room ntitros oxide nitric oxide statistical indicators gas chromatography global warming methane Agriculture (General) S1-972 Plant culture SB1-1110
Acceso en línea:	https://doaj.org/article/85700607cf764378877403cf31e99dc3
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spelling	oai:doaj.org-article:85700607cf764378877403cf31e99dc32021-11-27T07:10:27ZComparison Efficiency of DNDC and DAYCENT Models in Sensitivity Analysis of Greenhouse Gases Estimation2476-43102476-432910.22034/saps.2021.13104https://doaj.org/article/85700607cf764378877403cf31e99dc32021-06-01T00:00:00Zhttps://sustainagriculture.tabrizu.ac.ir/article_13104_cf51565f4891bb4160747f0659fff992.pdfhttps://doaj.org/toc/2476-4310https://doaj.org/toc/2476-4329Abstract Background and Objective: Emission of greenhouse gases and their effects on global warming is one of the most serious challenges facing developed and developing countries. Examining emissions of greenhouse gases from different countries makes it possible to determine share of countries in greenhouse gas emissions. This article tries to estimate growth rate of methane, oxidantrose and oxidantric gases, as well as the amount of global warming potential in agricultural lands of Khuzestan by using DAYCENT and DNDC models. Materials and Methods: Initially, emissions were measured in rice, wheat, and sugarcane fields using a static chamber, gas chromatography to measure methane and APNA-370 analyzer for nitrous oxide and nitric oxide. DAYCENT and DNDC models were used to estimate and model gas emissions. Results: Based on results data from two models, DAYCENT and DNDC, the highest amount of methane flux modeled at Baghmalek station was 1.369 and 1.094 tonnes of CO2 equivalent per hectare per year, respectively, the highest rate of nitrous oxide modeling at Shushtar station was 0.160 and 0.988 tonnes of CO2 equivalent per hectare per year, respectively. The highest global warming potential was determined based on observational data at Baghmalek station (55.074 tonnes of CO2 equivalent per hectare per year) and based on DAYCENT data at Shush station (68.059 tonnes of CO2 equivalent per hectare per year) and based on DNDC data in Shush station (47.06 tonnes of CO2 equivalent per hectare per year). Conclusion: According to the statistical indicators both models showed acceptable accuracy in estimating greenhouse gases.Nasrin MoradimajdGholam Abbas FallahghalhariUniversity of Tabrizarticlekeywords: residential roomntitros oxidenitric oxidestatistical indicatorsgas chromatographyglobal warmingmethaneAgriculture (General)S1-972Plant cultureSB1-1110FAJournal of Agricultural Science and Sustainable Production, Vol 31, Iss 2, Pp 181-198 (2021)
institution	DOAJ
collection	DOAJ
language	FA
topic	keywords: residential room ntitros oxide nitric oxide statistical indicators gas chromatography global warming methane Agriculture (General) S1-972 Plant culture SB1-1110
spellingShingle	keywords: residential room ntitros oxide nitric oxide statistical indicators gas chromatography global warming methane Agriculture (General) S1-972 Plant culture SB1-1110 Nasrin Moradimajd Gholam Abbas Fallahghalhari Comparison Efficiency of DNDC and DAYCENT Models in Sensitivity Analysis of Greenhouse Gases Estimation
description	Abstract Background and Objective: Emission of greenhouse gases and their effects on global warming is one of the most serious challenges facing developed and developing countries. Examining emissions of greenhouse gases from different countries makes it possible to determine share of countries in greenhouse gas emissions. This article tries to estimate growth rate of methane, oxidantrose and oxidantric gases, as well as the amount of global warming potential in agricultural lands of Khuzestan by using DAYCENT and DNDC models. Materials and Methods: Initially, emissions were measured in rice, wheat, and sugarcane fields using a static chamber, gas chromatography to measure methane and APNA-370 analyzer for nitrous oxide and nitric oxide. DAYCENT and DNDC models were used to estimate and model gas emissions. Results: Based on results data from two models, DAYCENT and DNDC, the highest amount of methane flux modeled at Baghmalek station was 1.369 and 1.094 tonnes of CO2 equivalent per hectare per year, respectively, the highest rate of nitrous oxide modeling at Shushtar station was 0.160 and 0.988 tonnes of CO2 equivalent per hectare per year, respectively. The highest global warming potential was determined based on observational data at Baghmalek station (55.074 tonnes of CO2 equivalent per hectare per year) and based on DAYCENT data at Shush station (68.059 tonnes of CO2 equivalent per hectare per year) and based on DNDC data in Shush station (47.06 tonnes of CO2 equivalent per hectare per year). Conclusion: According to the statistical indicators both models showed acceptable accuracy in estimating greenhouse gases.
format	article
author	Nasrin Moradimajd Gholam Abbas Fallahghalhari
author_facet	Nasrin Moradimajd Gholam Abbas Fallahghalhari
author_sort	Nasrin Moradimajd
title	Comparison Efficiency of DNDC and DAYCENT Models in Sensitivity Analysis of Greenhouse Gases Estimation
title_short	Comparison Efficiency of DNDC and DAYCENT Models in Sensitivity Analysis of Greenhouse Gases Estimation
title_full	Comparison Efficiency of DNDC and DAYCENT Models in Sensitivity Analysis of Greenhouse Gases Estimation
title_fullStr	Comparison Efficiency of DNDC and DAYCENT Models in Sensitivity Analysis of Greenhouse Gases Estimation
title_full_unstemmed	Comparison Efficiency of DNDC and DAYCENT Models in Sensitivity Analysis of Greenhouse Gases Estimation
title_sort	comparison efficiency of dndc and daycent models in sensitivity analysis of greenhouse gases estimation
publisher	University of Tabriz
publishDate	2021
url	https://doaj.org/article/85700607cf764378877403cf31e99dc3
work_keys_str_mv	AT nasrinmoradimajd comparisonefficiencyofdndcanddaycentmodelsinsensitivityanalysisofgreenhousegasesestimation AT gholamabbasfallahghalhari comparisonefficiencyofdndcanddaycentmodelsinsensitivityanalysisofgreenhousegasesestimation
_version_	1718409175526014976

Comparison Efficiency of DNDC and DAYCENT Models in Sensitivity Analysis of Greenhouse Gases Estimation

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