{"title":"使用DNDC模型v. 9.5模拟muktsar punjab地下排水条件下氮平衡","authors":"Original Paper, M. Dar, J. Singh, Kuldip Singh","doi":"10.15576/asp.fc/2023.22.2.01","DOIUrl":null,"url":null,"abstract":"Aim of the study: The aim of the study is DNDC model simulation for nitrogen balance in rice-wheat cropping system. Material and methods: The DeNitrification-DeComposition (DNDC) model is a computer simulation model for the biogeochemistry of carbon and nitrogen in agro ecosystems that takes a process-oriented approach. The DNDC model version 9.5 (http:// www.dndc.sr.unh.edu) was selected for estimating nitrogen balance. The model consists of two modules. The first component simulates moisture, soil temperature, pH, and substrate concentration, which are determined by ecological parameters such as soil, climate, anthropogenic activities, and vegetation. It consists of sub-models for plant growth, decomposition, and soil climate. The second module predicts the emission of gasses from plant-soil systems such as methane (CH4), nitrous oxide (N2O), nitrogen oxide (NO), dinitrogen (N2), ammonia (NH3), and carbon dioxide (CO2). The model includes empirical equations developed from laboratory studies and is based on the classical laws of chemistry, physics, and biology. The empirical equations included parameterizing specific biochemical or geochemical reactions. The entire model bridges the primary ecological drivers with the biogeochemical cycles of C and N (see: Figures 1 and 2). Results and conclusions: This study used the DNDC model to estimate nitrogen balance in the study area. A calibrated and validated DNDC model was used to simulate NO3-N loss in runoff and leachate from a rice–wheat cropping system from 2018 to 2020. The total nitrogen balance estimated by the DNDC model was negative (–99.44 kg N ha–1 yr–1) and positive (69.1 kg N ha–1 yr–1) for rice and wheat cropping systems, respectively, in the study area.","PeriodicalId":51904,"journal":{"name":"Acta Scientiarum Polonorum-Formatio Circumiectus","volume":"112 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SIMULATION OF NITROGEN BALANCE UNDER SUB-SURFACE DRAINAGE CONDITIONS AT THEHRI MUKTSAR PUNJAB, USING THE DNDC MODEL V. 9.5\",\"authors\":\"Original Paper, M. Dar, J. Singh, Kuldip Singh\",\"doi\":\"10.15576/asp.fc/2023.22.2.01\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aim of the study: The aim of the study is DNDC model simulation for nitrogen balance in rice-wheat cropping system. Material and methods: The DeNitrification-DeComposition (DNDC) model is a computer simulation model for the biogeochemistry of carbon and nitrogen in agro ecosystems that takes a process-oriented approach. The DNDC model version 9.5 (http:// www.dndc.sr.unh.edu) was selected for estimating nitrogen balance. The model consists of two modules. The first component simulates moisture, soil temperature, pH, and substrate concentration, which are determined by ecological parameters such as soil, climate, anthropogenic activities, and vegetation. It consists of sub-models for plant growth, decomposition, and soil climate. The second module predicts the emission of gasses from plant-soil systems such as methane (CH4), nitrous oxide (N2O), nitrogen oxide (NO), dinitrogen (N2), ammonia (NH3), and carbon dioxide (CO2). The model includes empirical equations developed from laboratory studies and is based on the classical laws of chemistry, physics, and biology. The empirical equations included parameterizing specific biochemical or geochemical reactions. The entire model bridges the primary ecological drivers with the biogeochemical cycles of C and N (see: Figures 1 and 2). Results and conclusions: This study used the DNDC model to estimate nitrogen balance in the study area. A calibrated and validated DNDC model was used to simulate NO3-N loss in runoff and leachate from a rice–wheat cropping system from 2018 to 2020. The total nitrogen balance estimated by the DNDC model was negative (–99.44 kg N ha–1 yr–1) and positive (69.1 kg N ha–1 yr–1) for rice and wheat cropping systems, respectively, in the study area.\",\"PeriodicalId\":51904,\"journal\":{\"name\":\"Acta Scientiarum Polonorum-Formatio Circumiectus\",\"volume\":\"112 1\",\"pages\":\"\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2023-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta Scientiarum Polonorum-Formatio Circumiectus\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15576/asp.fc/2023.22.2.01\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Scientiarum Polonorum-Formatio Circumiectus","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15576/asp.fc/2023.22.2.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
摘要
研究目的:研究水稻-小麦种植系统氮平衡的DNDC模型。材料和方法:反硝化分解(DNDC)模型是农业生态系统中碳氮生物地球化学的计算机模拟模型,采用面向过程的方法。采用DNDC模型9.5版(http:// www.dndc.sr.unh.edu)估算氮平衡。该模型由两个模块组成。第一个分量模拟水分、土壤温度、pH值和基质浓度,这些是由土壤、气候、人为活动和植被等生态参数决定的。它包括植物生长、分解和土壤气候的子模型。第二个模块预测植物-土壤系统的气体排放,如甲烷(CH4)、氧化亚氮(N2O)、氧化氮(NO)、二氮(N2)、氨(NH3)和二氧化碳(CO2)。该模型包括从实验室研究中发展出来的经验方程,并以化学、物理和生物学的经典定律为基础。经验方程包括参数化特定的生化或地球化学反应。整个模型将主要生态驱动因素与C和N的生物地球化学循环联系起来(见图1和图2)。结果和结论:本研究使用DNDC模型估算了研究区氮平衡。采用经过校准和验证的DNDC模型,模拟了2018 - 2020年稻田-小麦种植系统径流和渗滤液中NO3-N的损失。DNDC模型估算的研究区水稻和小麦的总氮平衡分别为负(-99.44 kg N ha-1年- 1)和正(69.1 kg N ha-1年- 1)。
SIMULATION OF NITROGEN BALANCE UNDER SUB-SURFACE DRAINAGE CONDITIONS AT THEHRI MUKTSAR PUNJAB, USING THE DNDC MODEL V. 9.5
Aim of the study: The aim of the study is DNDC model simulation for nitrogen balance in rice-wheat cropping system. Material and methods: The DeNitrification-DeComposition (DNDC) model is a computer simulation model for the biogeochemistry of carbon and nitrogen in agro ecosystems that takes a process-oriented approach. The DNDC model version 9.5 (http:// www.dndc.sr.unh.edu) was selected for estimating nitrogen balance. The model consists of two modules. The first component simulates moisture, soil temperature, pH, and substrate concentration, which are determined by ecological parameters such as soil, climate, anthropogenic activities, and vegetation. It consists of sub-models for plant growth, decomposition, and soil climate. The second module predicts the emission of gasses from plant-soil systems such as methane (CH4), nitrous oxide (N2O), nitrogen oxide (NO), dinitrogen (N2), ammonia (NH3), and carbon dioxide (CO2). The model includes empirical equations developed from laboratory studies and is based on the classical laws of chemistry, physics, and biology. The empirical equations included parameterizing specific biochemical or geochemical reactions. The entire model bridges the primary ecological drivers with the biogeochemical cycles of C and N (see: Figures 1 and 2). Results and conclusions: This study used the DNDC model to estimate nitrogen balance in the study area. A calibrated and validated DNDC model was used to simulate NO3-N loss in runoff and leachate from a rice–wheat cropping system from 2018 to 2020. The total nitrogen balance estimated by the DNDC model was negative (–99.44 kg N ha–1 yr–1) and positive (69.1 kg N ha–1 yr–1) for rice and wheat cropping systems, respectively, in the study area.