| 修正克里金插值法在大尺度农田土壤墒情插值中的应用 |
| |
| 引用本文： | 王婧雅,高学睿,陆垂裕,缴锡云,秦大庸. 修正克里金插值法在大尺度农田土壤墒情插值中的应用[J]. 水电能源科学, 2013, 31(3): 116-119 |
| |
| 作者姓名： | 王婧雅 高学睿 陆垂裕 缴锡云 秦大庸 |
| |
| 作者单位： | 河海大学 水文水资源与水利工程科学国家重点实验室， 江苏 南京 210098； 中国水利水电科学研究院 流域水循环模拟与调控国家重点实验室， 北京 100038; 河海大学 水利水电学院， 江苏 南京 210098 |
| |
| 基金项目： | 中国水利水电科学研究院科研专项基金资助项目（资集1224）；国家自然科学基金资助项目（50809076） |
| |
| 摘 要： | 土壤墒情空间分布场的模拟和监测对科学指导农业灌溉具有重要意义。将分布式水文模型的模拟数据作为样本观测点上的土壤墒情值，运用改进的克里金插值法对大尺度农田土壤墒情分布进行了插值，分析了区域大尺度土壤墒情的分布规律，并以邯郸市为例，将模拟值与实测值进行了对比。结果表明，模拟值与实测值具有较好的吻合度，两者的相对误差和相关系数均接近最优值，验证了修正克里金插值法具有可行性和可靠性。
|
| 关 键 词： | 土壤墒情； 修正克里金插值法； 分布式水文模型； 空间分布 |
Study on the Large-scale Farmland Soil Moisture Interpolation Based |
| |
| WANG Jingy,GAO Xuerui,LU Chuiyu,JIAO Xiyun and QIN Dayong. Study on the Large-scale Farmland Soil Moisture Interpolation Based[J]. International Journal Hydroelectric Energy, 2013, 31(3): 116-119 |
| |
| Authors: | WANG Jingy GAO Xuerui LU Chuiyu JIAO Xiyun QIN Dayong |
| |
| Affiliation: | State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; College of Water Conservancy and Hydropower, Hohai University, Nanjing 210098, China |
| |
| Abstract: | The simulation and monitoring on spatial distribution of soil moisture have great significance to the scientific guidance of agricultural irrigation.The soil moisture value were taken from the simulation data of the sample observation points using a distributed hydrological model, improved Kriging interpolation method are used for the large-scale soil moisture distribution of interpolation, and the distribution of regional-scale soil moisture is analyzed. Taking Handan City for an example, the calculation results were compared with the measured values.The results show that the calculated results and measured values have good agreement; both relative error and correlation coefficients were close to the optimal value, which verified the effective and reliable application of the revised Kriging interpolation method in soil moisture map. |
| |
| Keywords: | |
|
|
