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contributor authorCan Chen
contributor authorYun-xuan Bao
contributor authorQing Lv
contributor authorQian Tang
contributor authorKai Nu
date accessioned2022-01-30T19:27:34Z
date available2022-01-30T19:27:34Z
date issued2020
identifier other%28ASCE%29EE.1943-7870.0001661.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4265339
description abstractStraw retention is an important practice increasing crop production worldwide. It also can reduce nitrous oxide (N2O) gas emissions from agricultural soils. But it is very difficult to predict N2O gas discharge amounts when straw is incorporated at different soil depths. This research combined wheat growing season data from the Agricultural Meteorological Experiment Station of Nanjing University of Information Science and Technology, China, with the denitrification-decomposition model (DNDC model) to determine whether the DNDC could simulate the N2O emission rate, annual discharge, and effect of incorporation depth on N2O emissions. Straw was retained on the soil surface, and incorporated at 10, 20, and 30 cm depths. The sensitivity of N2O emissions to several site-specific and environmental factors was also examined. The results were as follows: (1) the DNDC model was able to simulate the N2O emission rate and annual emission rate from different straw incorporation depths; (2) N2O gas emissions are sensitive to annual mean temperature, soil pH, and amounts of soil organic carbon, fertilization, and retained straw, which have different impacts under different straw incorporation depths; and (3) the direct influence of soil internal factors was more important than environmental factors in the surface and 10-cm treatments; however, the influence of straw retention decreased and the influence of environmental factors increased in the 20- and 30-cm treatments.
publisherASCE
titleSimulation and Influence Factors of Nitrous Oxide (N2O) Gases Emission under Different Straw Retention Depths
typeJournal Paper
journal volume146
journal issue3
journal titleJournal of Environmental Engineering
identifier doi10.1061/(ASCE)EE.1943-7870.0001661
page04020002
treeJournal of Environmental Engineering:;2020:;Volume ( 146 ):;issue: 003
contenttypeFulltext


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