Russian
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Environmental Quality

Simulating nitrogen dynamics in agricultural soils fertilized with pig slurry and urea.

Только зарегистрированные пользователи могут переводить статьи
Войти Зарегистрироваться
Ссылка сохраняется в буфер обмена
Rosa Marchetti
Gilda Ponzoni
Pasquale Spallacci

Ключевые слова

абстрактный

Within the framework of an interregional project in the Emilia Romagna region of northern Italy, the coupled MACRO-SOILN model was chosen to estimate soil protective capacity against pollutants. The aim of our study was to evaluate the model to better identify key parameters and processes that influence N losses in agricultural soils. Nitrate N content was monitored in soil under corn (Zea mays L.) fertilized with urea and/or pig slurry, in two field experiments performed on four different soils: a Fienili clay, a Barco-like silt, a Sant'Omobono silt loam, and a La Boaria silty clay soil. Measurements were compared with model predictions. For all soils, nitrate content was underestimated on average by 24 to 88% at lower N rates; it was overestimated by 1 to 104% at higher N rates. The root mean square error (RMSE) was equal to 81.1%. Simulation of crop N uptake and soil water flow, estimation of the ammonia losses at pig slurry spreading, and N transformation parameter setting were considered as possible error sources. The calibration of crop N uptake gave rise to good model efficiency index values. The RMSE for the simulation of soil water content varied between 9.8 and 20.2%. A more accurate setting of the ammonia losses and of the feces transformation parameter values could allow the RMSE for the simulation of soil nitrate content to be reduced by no more than 10 to 15%. It is possible for the model not to include the simulation of processes that could have relevant effects on the soil N dynamics.

Присоединяйтесь к нашей
странице facebook

Самая полная база данных о лекарственных травах, подтвержденная наукой

  • Работает на 55 языках
  • Травяные лекарства, подтвержденные наукой
  • Распознавание трав по изображению
  • Интерактивная карта GPS - отметьте травы на месте (скоро)
  • Прочтите научные публикации, связанные с вашим поиском
  • Ищите лекарственные травы по их действию
  • Организуйте свои интересы и будьте в курсе новостей исследований, клинических испытаний и патентов

Введите симптом или заболевание и прочтите о травах, которые могут помочь, введите лекарство и узнайте о болезнях и симптомах, против которых оно применяется.
* Вся информация основана на опубликованных научных исследованиях.

Google Play badgeApp Store badge