Estimation of crop water requirement based on principal component analysis and geographically weighted regression

文献类型： 外文期刊

第一作者： Wang JingLei

作者： Wang JingLei;Kang ShaoZhong;Wang JingLei;Sun JingSheng;Chen ZhiFang;Wang JingLei;Sun JingSheng;Chen ZhiFang;Kang ShaoZhong

作者机构：

关键词： principal component analysis;geographically weighted regression;crop water requirement;spatial variability;kriging

期刊名称：CHINESE SCIENCE BULLETIN （ 影响因子：1.649； 五年影响因子：1.738 ）

ISSN： 1001-6538

年卷期： 2013 年 58 卷 27 期

页码：

收录情况： SCI

摘要： In this study the principal component analysis (PCA) and geographically weighted regression (GWR) are combined to estimate the spatial distribution of water requirement of the winter wheat in North China while the effect of the macro- and micro-topographic as well as the meteorological factors on the crop water requirement is taking into account. The spatial distribution characteristic of the water requirement of the winter wheat in North China and its formation are analyzed based on the spatial variation of the main affecting factors and the regression coefficients. The findings reveal that the collinearity can be effectively removed when PCA is applied to process all of the affecting factors. The regression coefficients of GWR displayed a strong variability in space, which can better explain the spatial differences of the effect of the affecting factors on the crop water requirement. The evaluation index of the proposed method in this study is more efficient than the widely used Kriging method. Besides, it could clearly show the effect of those affecting factors in different spatial locations on the crop water requirement and provide more detailed information on the region where those factors suddenly change. To sum up, it is of great reference significance for the estimation of the regional crop water requirement.

分类号：

  • 相关文献

[1]Ancillary information improves kriging on soil organic carbon data for a typical karst peak cluster depression landscape. Zhang, Wei,Wang, Kelin,Chen, Hongsong,He, Xunyang,Zhang, Wei,Wang, Kelin,Chen, Hongsong,He, Xunyang,Zhang, Jiguang. 2012

[2]Soil Moisture and Crop Evapotranspiration Forecast for Winter Wheat Based on Weather Information in North China Plain. Liu, Zhandong,Qin, Anzhen,Duan, Aiwang,Zhang, Jiyang,Sun, Jingsheng,Ning, Dongfeng,Zhao, Ben,Mi, Zhaorong,Liu, Zugui. 2017

[3]The spatial continuity study of NDVI based on Kriging and BPNN algorithm. Yang, Yujian,Zhu, Jianhua,Liu, Shuyun,Tong, Xueqin,Zhao, Chunjiang.

[4]Soil Organic Carbon Stocks of Citrus Orchards in Yongchun County, Fujian Province, China. Wang Yixiang,Weng Boqi,Tian Na,Zhong Zhenmei,Wang Mingkuang. 2017

[5]Cropland soil organic matter content change in Northeast China, 1985-2005. Yao, Yanmin,Ye, Liming,Tang, Pengqin,Wang, Deying,Si, Haiqing,Hu, Wenjun,Yao, Yanmin,Ye, Liming,Tang, Huajun,Tang, Pengqin,Wang, Deying,Si, Haiqing,Hu, Wenjun,Van Ranst, Eric,Ye, Liming,Van Ranst, Eric,Tang, Huajun. 2015

[6]THE SPATIAL PATTERN CHARACTERISTICS OF SOIL NUTRIENTS AT THE FIELD SCALE. Yang, Yujian,Zhu, Jianhua,Tong, Xueqin,Wang, Dianchang. 2009

[7]Spatial Variability of Soil Chemical Properties in the Reclaiming Marine Foreland to Yellow Sea of China. Wei Yi-chang,Zhang Fang,Zhang Li-ping,Liu Xiao-qiang,Wei Yi-chang,Bai You-lu,Jin Ji-yun. 2009

[8]SPATIAL VARIABILITY OF WINTER WHEAT GROWTH BASED ON THE INDIVIDUAL INDEX AND THE POPULATION INDEX. Cui, Bei,Song, Xiaoyu,Feng, Meichen. 2014

[9]Study on the rational sampling numbers of soil moisture monitoring for cotton. Li, Yan,Lei, XiaoYun,Zheng, GuoYu. 2012

[10]Spatial scaling effects on variability of soil organic matter and total nitrogen in suburban Beijing. Hu, Kelin,Huang, Feng,Li, Baoguo,Wang, Shuying,Li, Hong,Li, Hong. 2014

[11]An in situ method to measure the longitudinal and transverse dispersion coefficients of solute transport in soil. Zhang, Xiaoxian,Qi, Xuebin,Zhou, Xinguo,Pang, Hongbin.

[12]Geospatial Based Assessment of Spatial Variation of Groundwater Nitrate Nitrogen in Shandong Intensive Farming Regions of China. Huang, J.,Su, W.,Xu, J.,Liu, X.,Liu, J.,Wang, L.,Ramsankaran, Raaj.

[13]Spatial distribution pattern analysis of groundwater nitrate nitrogen pollution in Shandong intensive farming regions of China using neural network method. Huang, Jianxi,Xu, Jingyu,Liu, Xingquan,Liu, Jia,Wang, Limin.

[14]Spatial variation of penetration resistance and water content as affected by tillage and crop rotation in a black soil in Northeast China. Chen, Xuewen,Fan, Ruqin,Liang, Aizhen,Zhang, Xiaoping,Jia, Shuxia,Shi, Xiuhuan. 2013

[15]Spatial variability of nitrate on cabbage and nitrate-N in soil. Huang, SW,Jin, JY,Yang, LP,Bai, YL,Li, CH.

[16]A simple assessment on spatial variability of rice yield and selected soil chemical properties of paddy fields in South China. Liu, Zhanjun,Zhou, Wei,He, Ping,Lei, Qiuliang,Liang, Guoqing,Liu, Zhanjun,Shen, Jianbo.

[17]Spatial Variability of Surface Soil Moisture in a Depression Area of Karst Region. Zhang, Jiguang,Chen, Hongsong,Su, Yirong,Zhang, Wei,Zhang, Jiguang,Shi, Yi,Chen, Hongsong,Su, Yirong,Zhang, Wei,Kong, Xiangli. 2011

[18]Spatial variability of soil nutrients and influencing factors in a vegetable production area of Hebei Province in China. Huang, Shao-Wen,Jin, Ji-Yun,Yang, Li-Ping,Bai, You-Lu.

[19]Spatial variability of soil nutrients and sitespecific nutrient management in the P.R. China. Jin, JY,Jiang, C. 2002

[20]Progress in monitoring and spatial simulation of soil moisture. Shao, XM,Liu, CL,Yan, CR. 2004

作者其他论文 更多>>

微信小程序