| 潘登,任理,刘钰.应用分布式水文模型优化黑龙港及运东平原农田灌溉制度Ⅰ：模型参数的率定验证[J].水利学报,2012,43(6): |
| 应用分布式水文模型优化黑龙港及运东平原农田灌溉制度Ⅰ：模型参数的率定验证 |
| Application of distributed hydrological model for optimizing irrigation regime in Heilong-gang and Yundong plain Ⅰ. model calibration and validation |
| |
| DOI： |
| 中文关键词: 分布式水文模型 地理信息系统 遥感技术 参数率定 模拟验证 不确定性分析 |
| 英文关键词: distributed hydrological model GIS RS calibration validation uncertainty analysis |
| 基金项目: |
|
| 摘要点击次数: 2426 |
| 全文下载次数: 498 |
| 中文摘要: |
| 为了应用分布式水文模型优化该地区的农田灌溉制度，本文首先运用洗牌复形演化（SCE-UA）算法在曲周和吴桥两个试验站对分布式水文模型（SWAT）中的作物参数进行了率定，接着以遥感监测实际蒸散（ETa）数据为目标，在该区域应用拉丁超立方-单次单因素（LH-OAT）方法对SWAT模型中的参数进行敏感性分析，选出了对ETa最敏感的参数，用序贯不确定性（SUFI-2）算法优化出一套参数范围，最后对冬小麦－夏玉米轮作体系产量的长期模拟结果进行了验证。这些参数率定和模拟验证的结果为进一步深入研究该地区节水农业中的水分生产函数和优化灌溉制度奠定了基础。 |
| 英文摘要: |
| The Heilonggang-Yundong plain is one of the most important food production region in the Haihe River basin， but it is severe deficient in water resources. In this paper， in order to optimize irrigation schedule， firstly using Shuffled Complex Evolution （SCE-UA） to calibrate the crop parameter of Soil and Water Assessment Tool （SWAT） in Wuqiao Station and Quzhou Station. Secondly， based on the actual evapotranspiration （ETa） which calculated by remote sensing （RS）， are the sensitivity of parameters analysis and the most sensitive parameters are selected and then use“Sequential Uncertainty Fitting Algorithm” （SUFI-2） to optimize the parameters. Thirdly， under the consideration of uncertainty of the model， the yield of long term simulation for winter wheat and summer maize rotation system is validate. The results of calibration and validation laid the foundation for the further research on water product function and irrigation regime optimization. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |