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Littérature scientifique sur le sujet « DNDC model »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 10 mars 2023

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Articles de revues sur le sujet "DNDC model"

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Kröbel, R., W. Smith, B. Grant, et al. "Development and evaluation of a new Canadian spring wheat sub-model for DNDC." Canadian Journal of Soil Science 91, no. 4 (2011): 503–20. http://dx.doi.org/10.4141/cjss2010-059.

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Kröbel, R., Smith, W. N., Grant, B. B., Desjardins, R. L., Campbell, C. A., Tremblay, N., Li, C. S., Zentner, R. P. and McConkey, B. G. 2011. Development and evaluation of a new Canadian spring wheat sub-model for DNDC. Can. J. Soil Sci. 91: 503–520. In this paper, the ability of the DNDC model (version 93) to predict biomass production, grain yield and plant nitrogen content was assessed using data from experiments at Swift Current, Saskatchewan, and St-Blaise, Quebec, Canada. While predicting wheat grain yields reasonably well, the model overestimated the growth of above-ground plant biomass

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Jiang, Qianjing, Zhiming Qi, Chandra A. Madramootoo, Ward Smith, Naeem A. Abbasi, and Tiequan Zhang. "Comparison of RZWQM2 and DNDC Models to Simulate Greenhouse Gas Emissions under Combined Inorganic/Organic Fertilization in a Subsurface-Drained Field." Transactions of the ASABE 63, no. 4 (2020): 771–87. http://dx.doi.org/10.13031/trans.13668.

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HighlightsRZWQM2 was compared with DNDC to predict greenhouse gas emissions.RZWQM2 was applied to simulate the greenhouse gas emissions under manure application.RZWQM2 performed better than DNDC in simulating soil water content and CO2 emissions.Abstract. N management has the potential to mitigate greenhouse gas (GHG) emissions. Process-based models are promising tools for evaluating and developing management practices that may optimize sustainability goals as well as promote crop productivity. In this study, the GHG emission component of the Root Zone Water Quality Model (RZWQM2) was tested u

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Smith, W. N., R. L. Desjardins, B. Grant, et al. "Testing the DNDC model using N2O emissions at two experimental sites in Canada." Canadian Journal of Soil Science 82, no. 3 (2002): 365–74. http://dx.doi.org/10.4141/s01-048.

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Measured data from two experimental sites in Canada were used to test the ability of the DeNitrification and DeComposition model (DNDC) to predict N2O emissions from agricultural soils. The two sites, one from eastern Canada, and one from western Canada, provided a variety of crops, management practices, soils, and climates for testing the model. At the site in eastern Canada, the magnitude of total seasonal N2O flux from the seven treatments was accurately predicted with a slight average over-prediction (ARE) of 3% and a coefficient of variation of 41%. Nitrous oxide emissions based on Intern

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Li, Hu, Jianjun Qiu, Ligang Wang, and Li Yang. "Advance in a terrestrial biogeochemical model—DNDC model." Acta Ecologica Sinica 31, no. 2 (2011): 91–96. http://dx.doi.org/10.1016/j.chnaes.2010.11.006.

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Deng, J., Z. Zhou, B. Zhu, et al. "Modeling nitrogen loading in a small watershed in Southwest China using a DNDC model with hydrological enhancements." Biogeosciences Discussions 8, no. 4 (2011): 6383–413. http://dx.doi.org/10.5194/bgd-8-6383-2011.

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Abstract. The degradation of water quality has been observed worldwide, and inputs of nitrogen (N), along with other nutrients, play a key role in the process of contamination. The quantification of N loading from non-point sources at a watershed scale has long been a challenge. Process-based models have been developed to address this problem. Because N loading from non-point sources result from interactions between biogeochemical and hydrological processes, a model framework must include both types of processes if it is to be useful. This paper reports the results of a study in which we integ

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Deng, J., Z. Zhou, B. Zhu, et al. "Modeling nitrogen loading in a small watershed in southwest China using a DNDC model with hydrological enhancements." Biogeosciences 8, no. 10 (2011): 2999–3009. http://dx.doi.org/10.5194/bg-8-2999-2011.

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Abstract. The degradation of water quality has been observed worldwide, and inputs of nitrogen (N), along with other nutrients, play a key role in the process of contamination. The quantification of N loading from non-point sources at a watershed scale has long been a challenge. Process-based models have been developed to address this problem. Because N loading from non-point sources result from interactions between biogeochemical and hydrological processes, a model framework must include both types of processes if it is to be useful. This paper reports the results of a study in which we integ

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Smith, W. N., B. B. Grant, R. L. Desjardins, P. Rochette, C. F. Drury, and C. Li. "Evaluation of two process-based models to estimate soil N2O emissions in Eastern Canada." Canadian Journal of Soil Science 88, no. 2 (2008): 251–60. http://dx.doi.org/10.4141/cjss06030.

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Process-based models play an important role in the estimation of soil N2O emissions from regions with contrasting soil and climatic conditions. A study was performed to evaluate the ability of two process-based models, DAYCENT and DNDC, to estimate N2O emissions, soil nitrate- and ammonium-N levels, as well as soil temperature and water content. The measurement sites included a maize crop fertilized with pig slurry (Quebec) and a wheat-maize-soybean rotation as part of a tillage-fertilizer experiment (Ontario). At the Quebec site, both models accurately simulated soil temperature with an avera

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Zhang, Wei, Zhisheng Yao, Siqi Li, et al. "An improved process-oriented hydro-biogeochemical model for simulating dynamic fluxes of methane and nitrous oxide in alpine ecosystems with seasonally frozen soils." Biogeosciences 18, no. 13 (2021): 4211–25. http://dx.doi.org/10.5194/bg-18-4211-2021.

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Abstract. The hydro-biogeochemical model Catchment Nutrient Management Model – DeNitrification-DeComposition (CNMM-DNDC) was established to simultaneously quantify ecosystem productivity and losses of nitrogen and carbon at the site or catchment scale. As a process-oriented model, this model is expected to be universally applied to different climate zones, soils, land uses and field management practices. This study is one of many efforts to fulfill such an expectation, which was performed to improve the CNMM-DNDC by incorporating a physically based soil thermal module to simulate the soil ther

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Hutchinson, J. J., B. B. Grant, W. N. Smith, et al. "Estimates of direct nitrous oxide emissions from Canadian agroecosystems and their uncertainties." Canadian Journal of Soil Science 87, Special Issue (2007): 141–52. http://dx.doi.org/10.4141/s06-066.

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Using a revised Intergovernmental Panel on Climate Change (IPCC) methodology and the process-based model DeNitrification and DeComposition (DNDC), we estimated N2O emissions from agroecosystems in Canada for each census year from 1981 to 2001. Based on the IPCC methodology, direct emissions of N2O ranged from 12.9 to 17.3 with an average of 15.1 Tg CO2 equivalents, while the DNDC model predicted values from 16.0 to 24.3 with an average of 20.8 Tg CO2 equivalents over the same period, and showed a large interannual variation reflecting weather variability. On a provincial basis, emissions estim

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Horák, Ján, and Bernard Šiška. "EVALUATION OF N2O EMISSIONS BY DNDC MODEL FOR SANDY LOAM SOILS OF DANUBIAN LOWLAND." JOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT 14, no. 4 (2006): 165–71. http://dx.doi.org/10.3846/16486897.2006.9636894.

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Except for food production the sector of agriculture contribute significantly to emissions of some Greenhouse gases (GHGs), especially N2O. Agricultural practices (especially increase of N consumption in the sector) are now recognized as a major factor influencing increase of N2O emissions into the atmosphere. Estimates of greenhouse gas emissions from the agricultural sector both at a local and regional level are necessary to create possible mitigation strategies with respect to environmental efficiency and economic possibility. We used the DNDC (DeNitrification and DeComposition) model that

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Thèses sur le sujet "DNDC model"

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Shahid, Syeda Rubyat. "Simulating changes in soil organic carbon in Bangaladesh with the denitrification-decomposition (DNDC) model." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=107848.

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Developed countries' growing awareness of greenhouse gas (CO2, CH4, N2O) emissions from agricultural soils has led to an increased interest in the management of soil organic matter (SOM), which now extends to developing countries, including Bangladesh. Bangladeshi agriculture follows a largely rice-based cropping rotation, for which insufficient site-specific information regarding gas emissions exists to identify temporal variability of SOM content. The objective of this study was to evaluate the applicability of the 'Denitrification-Decomposition' model (DNDC, version 9.3) as a tool to better

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Deng, Jia, Carmody K. McCalley, Steve Frolking, et al. "Adding stable carbon isotopes improves model representation of the role of microbial communities in peatland methane cycling." AMER GEOPHYSICAL UNION, 2017. http://hdl.handle.net/10150/625198.

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Climate change is expected to have significant and uncertain impacts on methane (CH4) emissions from northern peatlands. Biogeochemical models can extrapolate site-specificCH(4) measurements to larger scales and predict responses of CH4 emissions to environmental changes. However, these models include considerable uncertainties and limitations in representing CH4 production, consumption, and transport processes. To improve predictions of CH4 transformations, we incorporated acetate and stable carbon (C) isotopic dynamics associated with CH4 cycling into a biogeochemistry model, DNDC. By includ

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FERRE', CHIARA. "Monitoring of greenhouse gas emissions from agricultural and forest soils." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2009. http://hdl.handle.net/10281/7483.

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Global climate change is becoming a central issue in contemporary science as well as politics. There is a long-lasting debate about the cause of the climate change: anthropogenic activity versus the natural cycle. However, a scientific consensus is coming a conclusion that the contemporary climate change is mainly caused by anthropogenic emissions of the greenhouse gases (GHG), including carbon dioxide (CO2), nitrous oxide (N2O) and methane (CH4). The main objective of the thesis is the monitoring of such GHG emissions from two ecosystem types: a forest and a rice paddy ecosystem. The fores

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Zechel, Jennifer Lynn. "DEADEND1 GENETICS IN MOUSE MODELS OF TESTICULAR GERM CELL TUMOURS AND THEIR METASTASES." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1372716917.

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Talukdar, Muhammad Bakhtear U. "CFO Turnover, Firm’s Debt-Equity Choice and Information Environment." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2618.

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The CEO and CFO are the two key executives of a firm. They work cohesively to ensure the growth of the firm. After the adoption of the Sarbanes Oxley Act (SOX) in 2002, the importance of CFOs has increased due to their personal legal obligation in certifying the accuracy of financial statements. Only a few papers such as Mian (2001), Fee and Hadlock (2004), and Geiger and North (2006) focus on CFOs in the pre-SOX era. However, a vacuum exists in research focusing exclusively on CFOs in the post-SOX era. The purpose of this dissertation is to delve into a comprehensive investigation of the CFOs

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Kröbel, Roland [Verfasser]. "Validation and evaluation of the DNDC model to simulate soil water content, mineral N and N2O emission in the North China Plain / presented by Roland Kröbel." 2009. http://d-nb.info/999417959/34.

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Ayala, Alcántara Alejandro. "Propuesta del modelo DNC como herramienta de la consultoría empresarial aplicado a la empresa BONAFONT." Tesis de Licenciatura, 2017. http://hdl.handle.net/20.500.11799/99211.

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La presente investigación permitirá al lector entender, dentro del ámbito administrativo, cuál es la función de un consultor en una empresa, también podrá apreciar la importancia que requiere elaborar diagnósticos empresariales de manera constante y así mismo recibir consejos o asesorías de un consultor. El objetivo fundamental de la investigación es aportar conocimiento sobre el tema de la consultoría, en específico hablar acerca del modelo DNC, el cual es una herramienta sumamente útil para identificar áreas débiles en una empresa. Una de las principales problemáticas que presenta una PyME

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Chapitres de livres sur le sujet "DNDC model"

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Li, Changsheng. "The DNDC Model." In Evaluation of Soil Organic Matter Models. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61094-3_20.

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Jiang, Lihua, Wensheng Wang, Xiaorong Yang, Nengfu Xie, and Youping Cheng. "An Agricultural Tri-dimensional Pollution Data Management Platform Based on DNDC Model." In Computer and Computing Technologies in Agriculture IV. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18333-1_20.

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Grant, Brian B., Ward N. Smith, Con A. Campbell, et al. "Comparison of DayCent and DNDC Models: Case Studies Using Data from Long-Term Experiments on the Canadian Prairies." In Synthesis and Modeling of Greenhouse Gas Emissions and Carbon Storage in Agricultural and Forest Systems to Guide Mitigation and Adaptation. American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/advagricsystmodel6.2013.0035.

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Sun, Y. Y., J. W. Wang, and G. J. Hong. "Application of the DNDC model in simulating nitrate leaching due to irrigation and precipitation." In Hydraulic Engineering V. CRC Press, 2017. http://dx.doi.org/10.1201/9781351241571-20.

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Nagata, F., T. Yamashiro, N. Kitahara, A. Otsuka, K. Watanabe, and Maki K. Habib. "Self Control and Server-Supervisory Control for Multiple Mobile Robots, and its Applicability to Intelligent DNC System." In Computational Methods for Optimizing Manufacturing Technology. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0128-4.ch003.

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Multiple mobile robots with six PSD (Position Sensitive Detector) sensors are designed for experimentally evaluating the performance of two control systems. They are self-control mode and server-supervisory control mode. The control systems are considered to realize swarm behaviors such as Ligia exotica. This is done by using only information of PSD sensors. Experimental results show basic but important behaviors for multiple mobile robots. They are following, avoidance, and schooling behaviors. The collective behaviors such as following, avoidance, and schooling emerge from the local interactions among the robots and/or between the robots and the environment. The objective of the study is to design an actual system for multiple mobile robots, to systematically simulate the behaviors of various creatures who form groups such as a school of fish or a swarm of insect. Further, the applicability of the server-supervisory control scheme to an intelligent DNC (Direct Numerical Control) system is briefly considered for future development. DNC system is an important peripheral apparatus, which can directly control NC machine tools. However, conventional DNC systems can neither deal with various information transmitted from different kinds of sensors through wireless communication nor output suitable G-codes by analyzing the sensors information in real time. The intelligent DNC system proposed at the end of the chapter aims to realize such a novel and flexible function with low cost.

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Actes de conférences sur le sujet "DNDC model"

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"Simulating CO2 Emissions from Tropical Forest Soils by Denitrification-Nitrification Decomposition (DNDC) Model." In April 17-18, 2018 Kyoto (Japan). International Institute of Chemical, Biological and Environmental Engineering, 2018. http://dx.doi.org/10.17758/iicbe1.c0418131.

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Wang, Deying, Yanmin Yao, Haiqing Si, Wenju Zhang, and Huajun Tang. "Simulation and prediction of soil organic carbon spatial change in arable lands based on DNDC model." In 2014 Third International Conference on Agro-Geoinformatics. IEEE, 2014. http://dx.doi.org/10.1109/agro-geoinformatics.2014.6910583.

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Huang, Xianlei, Biao Tang, Xu Xia, and Hailin Zhang. "Evaluation of Soil Carbon Sequestration Potential under Conservation Tillage in Double Rice Cropping Region with DNDC Model." In 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE). IEEE, 2012. http://dx.doi.org/10.1109/rsete.2012.6260567.

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Smith, Ward N., Zhiming Qi, Brian B. Grant, et al. "<i>Towards improving the DNDC model for simulating soil hydrology and tile drainage</i>." In 2019 Boston, Massachusetts July 7- July 10, 2019. American Society of Agricultural and Biological Engineers, 2019. http://dx.doi.org/10.13031/aim.201901842.

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Chen, Maosi, Xiangyi Wang, Zhan Tian, et al. "Simulation of methane emissions from double-rice cropping system in Southern China during the past 50 years by DNDC model." In Remote Sensing and Modeling of Ecosystems for Sustainability XV, edited by Wei Gao, Ni-Bin Chang, and Jinnian Wang. SPIE, 2018. http://dx.doi.org/10.1117/12.2320158.

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Zhan Tian, Zhuoran Liang, Yilong Niu, Changsheng Li, Xueming Tu, and DongLi Fan. "Simulation of the methane emission in rice fields in China during the past 40 years by DNDC model and GIS technical." In 2014 Third International Conference on Agro-Geoinformatics. IEEE, 2014. http://dx.doi.org/10.1109/agro-geoinformatics.2014.6910624.

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Jiang, Qianjing, Zhiming Qi, Chandra A. Madramootoo, Ward Smith, Naeem A. Abbasi, and Tie-Quan Zhang. "<i>Comparison of RZWQM2 and DNDC model in simulating greenhouse gas emission, crop yield and subsurface drainage</i>." In 2018 Detroit, Michigan July 29 - August 1, 2018. American Society of Agricultural and Biological Engineers, 2018. http://dx.doi.org/10.13031/aim.201801588.

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Liu, Kaicheng, and Jianjun Wang. "Double Nodal Diameter Spectrum Method and its Application in Quantification of Vibration Localization of Impellers With Splitter Blades." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-63972.

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Double nodal diameter spectrum (DNDS) method which is used to analyze nodal diameter (ND) components of the vibration modes of impellers with splitters is proposed and its application in quantification of mode localization has been studied. Firstly, ND characteristics of the typical impeller with splitter blades are analyzed by mode shapes and representative subeigenvectors. Secondly, DNDS method is proposed and DNDSs of the representative modes indicate that the tuned modes of impellers with splitter blades contain two ND components. By applying the simplified engine order (EO) excitation in

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Jia, Ying, Lei Huang, and Jin Yan. "Impact of Field Development Strategies on CO2 Trapping Mechanisms: A Case Study of CO2-EGR in the DND Tight Gas Field." In SPE EuropEC - Europe Energy Conference featured at the 83rd EAGE Annual Conference & Exhibition. SPE, 2022. http://dx.doi.org/10.2118/209718-ms.

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Abstract This paper presents field-scale compositional reservoir flow modeling in the DND tight gas field, to demonstrate the relative partitioning of 3 during and after CO2 injection. The model was developed to study the effect of structural trapping, solubility trapping, residual trapping, and mineralization trapping on the partitioning of CO2 in gas (free or residual), and brine phases over time. Furthermore, we investigated the impact of various injection scenarios, such as Injection pressure, Injection rate and Injection time, on the different trapping mechanisms. First, we used a high-re

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Jia, Ying, Lei Huang, and Jin Yan. "Impact of Field Development Strategies on CO2 Trapping Mechanisms: A Case Study of CO2-EGR in the DND Tight Gas Field." In SPE EuropEC - Europe Energy Conference featured at the 83rd EAGE Annual Conference & Exhibition. SPE, 2022. http://dx.doi.org/10.2118/209718-ms.

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Abstract This paper presents field-scale compositional reservoir flow modeling in the DND tight gas field, to demonstrate the relative partitioning of 3 during and after CO2 injection. The model was developed to study the effect of structural trapping, solubility trapping, residual trapping, and mineralization trapping on the partitioning of CO2 in gas (free or residual), and brine phases over time. Furthermore, we investigated the impact of various injection scenarios, such as Injection pressure, Injection rate and Injection time, on the different trapping mechanisms. First, we used a high-re

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Rapports d'organisations sur le sujet "DNDC model"

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West, M. Technical Review Report for the Model 9977 Safety Analysis Report for Packaging Addendum 1 Justification for DNDO Contents. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/951668.

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