Estimation of greenhouse gas emissions from rice and annual upland crops in Red River Delta of Vietnam using the denitrification–decomposition model

IF 3.8 4区 工程技术 Q2 CHEMISTRY, MULTIDISCIPLINARY Green Processing and Synthesis Pub Date : 2024-01-01 DOI:10.1515/gps-2023-0187
Bui Thi Thu Trang, Mai Van Trinh
{"title":"Estimation of greenhouse gas emissions from rice and annual upland crops in Red River Delta of Vietnam using the denitrification–decomposition model","authors":"Bui Thi Thu Trang, Mai Van Trinh","doi":"10.1515/gps-2023-0187","DOIUrl":null,"url":null,"abstract":"\n This study used the denitrification–decomposition (DNDC) model and ArcGIS 10.1 to calculate and quantify the greenhouse gas (GHG) potential from rice and annual upland crops in the Red River Delta of Vietnam. GHG emissions were monitored, analyzed, and calculated at experimental sites. The operating mechanism, sensitivity analysis of the parameters, calibration, and verification of the DNDC model for the GHG emission calculation were studied and performed, and a set of parameters was built. A good correlation between actual and simulated values was shown. From the data set of meteorological stations in and around the Red River Delta, the current land-use map, the topographic and soil map, a complex map of meteorology–soil–land use was built. Each unit of this map contains complete information about climate, soil, and crops as input data for modeling GHG emissions from crop production. From the spatial analysis and collected input data, GHG emissions were measured and calculated for the cultivated field of the Red River Delta (annual rice and upland crops) using the DNDC model. The model's outputs were used to build thematic maps on the distribution of global warming potential (CH4, N2O) for each unit of the complex map of climate, soil, and crops.","PeriodicalId":12758,"journal":{"name":"Green Processing and Synthesis","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Green Processing and Synthesis","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1515/gps-2023-0187","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

This study used the denitrification–decomposition (DNDC) model and ArcGIS 10.1 to calculate and quantify the greenhouse gas (GHG) potential from rice and annual upland crops in the Red River Delta of Vietnam. GHG emissions were monitored, analyzed, and calculated at experimental sites. The operating mechanism, sensitivity analysis of the parameters, calibration, and verification of the DNDC model for the GHG emission calculation were studied and performed, and a set of parameters was built. A good correlation between actual and simulated values was shown. From the data set of meteorological stations in and around the Red River Delta, the current land-use map, the topographic and soil map, a complex map of meteorology–soil–land use was built. Each unit of this map contains complete information about climate, soil, and crops as input data for modeling GHG emissions from crop production. From the spatial analysis and collected input data, GHG emissions were measured and calculated for the cultivated field of the Red River Delta (annual rice and upland crops) using the DNDC model. The model's outputs were used to build thematic maps on the distribution of global warming potential (CH4, N2O) for each unit of the complex map of climate, soil, and crops.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用反硝化-分解模型估算越南红河三角洲水稻和一年生高地作物的温室气体排放量
本研究利用反硝化-分解(DNDC)模型和 ArcGIS 10.1 计算并量化了越南红河三角洲水稻和一年生高地作物的温室气体(GHG)潜力。在实验地点对温室气体排放量进行了监测、分析和计算。对用于温室气体排放计算的 DNDC 模型的运行机制、参数敏感性分析、校准和验证进行了研究,并建立了一套参数。结果表明,实际值与模拟值之间具有良好的相关性。根据红河三角洲及其周边地区的气象站数据集、土地利用现状图、地形图和土壤图,建立了气象-土壤-土地利用复合图。该地图的每个单元都包含完整的气候、土壤和农作物信息,作为农作物生产温室气体排放建模的输入数据。根据空间分析和收集的输入数据,利用 DNDC 模型测量和计算了红河三角洲耕地(一年生水稻和高地作物)的温室气体排放量。该模型的输出结果被用于绘制气候、土壤和作物复合图中每个单元的全球升温潜能值(CH4、N2O)分布专题图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Green Processing and Synthesis
Green Processing and Synthesis CHEMISTRY, MULTIDISCIPLINARY-ENGINEERING, CHEMICAL
CiteScore
6.70
自引率
9.30%
发文量
78
审稿时长
7 weeks
期刊介绍: Green Processing and Synthesis is a bimonthly, peer-reviewed journal that provides up-to-date research both on fundamental as well as applied aspects of innovative green process development and chemical synthesis, giving an appropriate share to industrial views. The contributions are cutting edge, high-impact, authoritative, and provide both pros and cons of potential technologies. Green Processing and Synthesis provides a platform for scientists and engineers, especially chemists and chemical engineers, but is also open for interdisciplinary research from other areas such as physics, materials science, or catalysis.
期刊最新文献
Green polymer electrolyte and activated charcoal-based supercapacitor for energy harvesting application: Electrochemical characteristics Ascorbic acid-mediated selenium nanoparticles as potential antihyperuricemic, antioxidant, anticoagulant, and thrombolytic agents Facile, polyherbal drug-mediated green synthesis of CuO nanoparticles and their potent biological applications Biofabrication of silver nanoparticles using Uncaria tomentosa L.: Insight into characterization, antibacterial activities combined with antibiotics, and effect on Triticum aestivum germination Materials-based drug delivery approaches: Recent advances and future perspectives
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1