采用改进采样策略的Morris方法和基于Sobol方差的方法,作为Richard方程数值模型的验证工具

Sunny Goh
{"title":"采用改进采样策略的Morris方法和基于Sobol方差的方法,作为Richard方程数值模型的验证工具","authors":"Sunny Goh","doi":"10.24294/JGC.V2I1.763","DOIUrl":null,"url":null,"abstract":"Richard’s equation was approximated by finite-difference numerical scheme to model water infiltration profile in variably unsaturated soil. The published data of Philip’s semi-analytical solution was used to validate the simulated results from the numerical scheme. A discrepancy was found between the simulated and the published semi-analytical results. Morris method as a global sensitivity tool was used as an alternative to local sensitivity analysis to assess the results discrepancy. Morris method with different sampling strategies were tested, of which Manhattan distance method have resulted a better sensitivity measures and also a better scan of input space than Euclidean method. Moreover, Morris method at  and Manhattan distance sampling strategy, with only 2 extra simulation runs than local sensitivity analysis, was able to produce reliable sensitivity measures ( , ). The sensitivity analysis results were cross-validated by Sobol’ variance-based method with 150,000 simulation runs. The global sensitivity tool has identified three important parameters, of which spatial discretization size was the sole reason of the discrepancy observed. In addition, a high proportion of total output variance contributed by parameters  and  is suggesting a greater significant digits is required to reduce its input uncertainty range.","PeriodicalId":363659,"journal":{"name":"Journal of Geography and Cartography","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Morris method with improved sampling strategy and Sobol’ variance-based method, as validation tool on numerical model of Richard’s equation\",\"authors\":\"Sunny Goh\",\"doi\":\"10.24294/JGC.V2I1.763\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Richard’s equation was approximated by finite-difference numerical scheme to model water infiltration profile in variably unsaturated soil. The published data of Philip’s semi-analytical solution was used to validate the simulated results from the numerical scheme. A discrepancy was found between the simulated and the published semi-analytical results. Morris method as a global sensitivity tool was used as an alternative to local sensitivity analysis to assess the results discrepancy. Morris method with different sampling strategies were tested, of which Manhattan distance method have resulted a better sensitivity measures and also a better scan of input space than Euclidean method. Moreover, Morris method at  and Manhattan distance sampling strategy, with only 2 extra simulation runs than local sensitivity analysis, was able to produce reliable sensitivity measures ( , ). The sensitivity analysis results were cross-validated by Sobol’ variance-based method with 150,000 simulation runs. The global sensitivity tool has identified three important parameters, of which spatial discretization size was the sole reason of the discrepancy observed. In addition, a high proportion of total output variance contributed by parameters  and  is suggesting a greater significant digits is required to reduce its input uncertainty range.\",\"PeriodicalId\":363659,\"journal\":{\"name\":\"Journal of Geography and Cartography\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Geography and Cartography\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24294/JGC.V2I1.763\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geography and Cartography","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24294/JGC.V2I1.763","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

采用有限差分数值格式逼近Richard方程,模拟变非饱和土壤的入渗剖面。利用已发表的Philip半解析解数据对数值方案的模拟结果进行了验证。模拟结果与已发表的半分析结果存在差异。Morris方法作为全局敏感性工具,作为局部敏感性分析的替代方法来评估结果的差异。对不同采样策略下的Morris方法进行了测试,结果表明,曼哈顿距离法比欧几里得方法具有更好的灵敏度和对输入空间的扫描能力。此外,Morris方法和Manhattan距离采样策略仅比局部灵敏度分析多2次模拟运行,就能得到可靠的灵敏度测量值(,)。敏感性分析结果采用Sobol方差法交叉验证,模拟运行15万次。全局灵敏度工具确定了三个重要参数,其中空间离散化大小是观测到差异的唯一原因。此外,参数贡献的总输出方差所占的比例很高,这表明需要更大的有效数字来减少其输入不确定性范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Morris method with improved sampling strategy and Sobol’ variance-based method, as validation tool on numerical model of Richard’s equation
Richard’s equation was approximated by finite-difference numerical scheme to model water infiltration profile in variably unsaturated soil. The published data of Philip’s semi-analytical solution was used to validate the simulated results from the numerical scheme. A discrepancy was found between the simulated and the published semi-analytical results. Morris method as a global sensitivity tool was used as an alternative to local sensitivity analysis to assess the results discrepancy. Morris method with different sampling strategies were tested, of which Manhattan distance method have resulted a better sensitivity measures and also a better scan of input space than Euclidean method. Moreover, Morris method at  and Manhattan distance sampling strategy, with only 2 extra simulation runs than local sensitivity analysis, was able to produce reliable sensitivity measures ( , ). The sensitivity analysis results were cross-validated by Sobol’ variance-based method with 150,000 simulation runs. The global sensitivity tool has identified three important parameters, of which spatial discretization size was the sole reason of the discrepancy observed. In addition, a high proportion of total output variance contributed by parameters  and  is suggesting a greater significant digits is required to reduce its input uncertainty range.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Integrating in-situ hydraulic conductivity measurements and vertical electrical sounding for groundwater exploration in fractured shales within Alex Ekwueme Federal University Ndufu Alike (AE-FUNAI), South Eastern Nigeria Cartographical digital products: Maps, 3D models, diagrams An integrated urban water resources management approach for infrastructure and urban planning On the elemental contents of aspen (Populus tremula L.) leaves grown in the mineralization area Comparative study of sediment loading in sub-watersheds of Phewa Lake, Nepal
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1