李振炜,张光辉,耿韧,王浩.黄土丘陵区浅沟表层土壤粘结力状态空间模拟[J].农业机械学报,2015,46(6):175-182.
Li Zhenwei,Zhang Guanghui,Geng Ren,Wang Hao.Simulation of Soil Cohesion by State-space Approach in Ephemeral Gully of Hilly Loess Plateau[J].Transactions of the Chinese Society for Agricultural Machinery,2015,46(6):175-182.
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黄土丘陵区浅沟表层土壤粘结力状态空间模拟   [下载全文]
Simulation of Soil Cohesion by State-space Approach in Ephemeral Gully of Hilly Loess Plateau   [Download Pdf][in English]
投稿时间:2014-08-04  
DOI:10.6041/j.issn.1000-1298.2015.06.025
中文关键词:  黄土高原  土壤粘结力  浅沟  线性回归  状态空间模拟
基金项目:中国科学院“百人计划”择优支持资助项目和国家自然科学基金资助项目(41271287)
作者单位
李振炜 中国科学院水利部水土保持研究所 
张光辉 中国科学院水利部水土保持研究所
北京师范大学 
耿韧 北京师范大学 
王浩 北京师范大学 
中文摘要:为探明黄土丘陵区土壤粘结力沿浅沟分布的空间差异性及其影响因素,运用线性回归模型和状态空间方程模拟了土壤粘结力在浅沟不同部位的分布。结果表明:沿着浅沟分水线、沟坡和沟底,土壤粘结力呈中等程度变异,主要受海拔高度、粘粒、砂粒含量和容重的影响;粘结力与海拔高度、粘粒、砂粒含量、容重均存在显著的空间自相关性和较好的交互相关关系;状态空间方程对粘结力的空间模拟效果要优于线性回归模型,其中采用单因素粘粒含量的状态空间方程结果最好,纳什效率系数NSE为0.968,可以解释粘结力空间变异的97.2%。
Li Zhenwei  Zhang Guanghui  Geng Ren  Wang Hao
Institute of Soil and Water Conservation,Chinese Academy of Sciences and Ministry of Water Resources,Institute of Soil and Water Conservation,Chinese Academy of Sciences and Ministry of Water Resources;Beijing Normal University,Beijing Normal University and Beijing Normal University
Key Words:Loess Plateau  Soil cohesion  Ephemeral gully  Linear regression  State-space model
Abstract:Ephemeral gully is widespread on the hilly Loess Plateau of China. A better understanding of the spatial variability in soil cohesion across the ephemeral gully will improve understanding of ephemeral gully erosion. However, quantitative research about the spatial heterogeneity of soil cohesion is quite few. The study was conducted to investigate and predict the spatial variation of soil cohesion in an ephemeral gully of hilly Loess Plateau by using classical linear regression and state-space methodologies. The results showed that soil cohesion had a moderate variation, and it was considerably influenced by elevation, clay content, sand content and bulk density. The autocorrelation functions for above-mentioned five variables were sufficient to identify their spatial representatives. The cross-correlation functions showed a strong spatial dependence between soil cohesion and elevation, clay content, sand content and bulk density. All the derived state-space models described the spatial variation of soil cohesion better than that of the equivalent linear regression models. The best state-space models based on clay content can explain 97.2% of the soil cohesion variation. Thus, state-space model was recommended as a useful tool to predict soil cohesion in ephemeral gullies of the hilly Loess Plateau. Furthermore, the result can provide valuable data base for setting up soil erosion model.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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