{"title":"作物模型的参数敏感性及行为研究","authors":"A. Heuer, M. Casper","doi":"10.2174/1874378101105010058","DOIUrl":null,"url":null,"abstract":"The present article shows the results of a study on the soil module of the STICS (Simulateur Multidisciplinaire des Cultures Standards, developed by INRA, France) crop model. Simulation models are often applied to regions where conditions are substantially different from the ones which the model was originally developed for and validated against. This was the reason to study the sensitivity of the STICS soil module and to analyze model behavior with regard to spatial transferability. The model was parameterized with data collected from an area close to the German city of Trier. Using this parameterization as a baseline, an initial study was carried out on the sensitivity of the soil parameters. This was followed by an analysis of model behavior concerning parameters which also in the real system are responsible for successful or poor plant growth. This provided some improvements over the initial simulation results. However, the model failed to match the real system's behavior concerning yield, biomass development, and root growth. From various approaches to parameterization it has become clear that a high level of abstraction is required to produce a satisfactory model of the soil-plant-atmosphere continuum and in particular the soil water dynamics. This applies especially to extreme locations as well as to relatively extreme climatic years.","PeriodicalId":247243,"journal":{"name":"The Open Hydrology Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Studying Parameter Sensitivity and Behaviour of the Crop Model STICS\",\"authors\":\"A. Heuer, M. Casper\",\"doi\":\"10.2174/1874378101105010058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present article shows the results of a study on the soil module of the STICS (Simulateur Multidisciplinaire des Cultures Standards, developed by INRA, France) crop model. Simulation models are often applied to regions where conditions are substantially different from the ones which the model was originally developed for and validated against. This was the reason to study the sensitivity of the STICS soil module and to analyze model behavior with regard to spatial transferability. The model was parameterized with data collected from an area close to the German city of Trier. Using this parameterization as a baseline, an initial study was carried out on the sensitivity of the soil parameters. This was followed by an analysis of model behavior concerning parameters which also in the real system are responsible for successful or poor plant growth. This provided some improvements over the initial simulation results. However, the model failed to match the real system's behavior concerning yield, biomass development, and root growth. From various approaches to parameterization it has become clear that a high level of abstraction is required to produce a satisfactory model of the soil-plant-atmosphere continuum and in particular the soil water dynamics. This applies especially to extreme locations as well as to relatively extreme climatic years.\",\"PeriodicalId\":247243,\"journal\":{\"name\":\"The Open Hydrology Journal\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Open Hydrology Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/1874378101105010058\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Open Hydrology Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1874378101105010058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
摘要
本文介绍了法国INRA开发的作物模型tics (Simulateur Multidisciplinaire des Cultures Standards)土壤模块的研究结果。模拟模型通常应用于条件与模型最初开发和验证的条件有很大不同的地区。这就是为什么要研究STICS土壤模块的敏感性,并分析模型在空间可转移性方面的行为。该模型是用从德国特里尔市附近地区收集的数据参数化的。以该参数化为基准,对土壤参数的敏感性进行了初步研究。接下来是对模型行为的分析,这些参数在实际系统中也对植物生长的成功或不良负责。这比最初的模拟结果提供了一些改进。然而,该模型在产量、生物量发育和根系生长等方面不能与实际系统的行为相匹配。从各种参数化方法来看,很明显,要产生令人满意的土壤-植物-大气连续体模型,特别是土壤水动力学模型,需要高度抽象。这尤其适用于极端地区以及相对极端的气候年份。
Studying Parameter Sensitivity and Behaviour of the Crop Model STICS
The present article shows the results of a study on the soil module of the STICS (Simulateur Multidisciplinaire des Cultures Standards, developed by INRA, France) crop model. Simulation models are often applied to regions where conditions are substantially different from the ones which the model was originally developed for and validated against. This was the reason to study the sensitivity of the STICS soil module and to analyze model behavior with regard to spatial transferability. The model was parameterized with data collected from an area close to the German city of Trier. Using this parameterization as a baseline, an initial study was carried out on the sensitivity of the soil parameters. This was followed by an analysis of model behavior concerning parameters which also in the real system are responsible for successful or poor plant growth. This provided some improvements over the initial simulation results. However, the model failed to match the real system's behavior concerning yield, biomass development, and root growth. From various approaches to parameterization it has become clear that a high level of abstraction is required to produce a satisfactory model of the soil-plant-atmosphere continuum and in particular the soil water dynamics. This applies especially to extreme locations as well as to relatively extreme climatic years.