| Studies on salinity characteristics of takyric solonetz in Ningxia Yinbei region based on principal component analysis |
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| DOI：10.7606/j.issn.1000-7601.2012.02.07 |
| Key Words: takyric solonetz salinity characteristics principal component analysis |
| Author Name | Affiliation | | ZHANG Tibin | Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural
Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Graduate University of Chinese Academy of Sciences, Beijing 100049, China | | KANG Yuehu | Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural
Resources Research, Chinese Academy of Sciences, Beijing 100101, China | | HU Wei | Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural
Resources Research, Chinese Academy of Sciences, Beijing 100101, China | | DOU Chaoyin | Liaoning Institute of Water Conservancy and Hydropower, Shenyang, Liaoning 110003, China |
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| Abstract: |
| In order to investigate the basic salinity conditions and the dominant, restrictive factors of salinity characteristics of takyric solonetz under drip irrigation in Ningxia Yinbei Region, classical statistical analysis and principle component analysis (PCA) was applied to explore the salinity characteristics of takyric solonetz utilized by drip irrigation. The results showed that the salt ions content distributed as a “T” letter in soil profile of takyric solonetz. SAR in 0～40 cm soil was above 15 (mmol/L)0.5, and pH values about 9.5. Na+ and Cl- were the dominant cation and anion respectively in the soil, and HCO3- content increased gradually in the soils below 100 cm. Total soluble salt (TSS) in the soil had the strangest correlation with the contents of Cl- and Na+, the correlation coefficients were 0.967 and 0.910(P<0.01), meanwhile the positive correlation between TSS and the electrical conductivity of saturation paste extracts (ECe) was significant at 0.01 level. The results of PCA showed that four principle components, which could explain 88.28% of the total variance, represented the saline condition, structure condition, alkaline characteristics and
the contents of ions other than key ions such as Na+, Mg2+ and Ca2+ in solonetz, respectively, affected the utilization of takyric solonetz. For the reasons above, like other salt-affected soils in arid regions, takyric solonetz in Ningxia Yinbei region had the characteristics of the salt accumulation at surface siol layers. To decrease the salinity should be the first step in the utilization, and next, reduce the alkalinity, ameliorate the soil structure through changing the salt components. |
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