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Cite this article:周文宇,杨小虎,杨海昌,等.基于最小数据集的典型绿洲农田土壤质量评价[J].灌溉排水学报,0,():-.
ZHOU Wen-yu,YANG Xiao-hu,YANG Hai-chang,et al.基于最小数据集的典型绿洲农田土壤质量评价[J].灌溉排水学报,0,():-.
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DOI:
Evaluation of farmland soil quality in Typical Oasis Based on minimum data set
ZHOU Wen-yu, YANG Xiao-hu, YANG Hai-chang, ZHANG Feng-hua
Shihezi University
Abstract:
Taking the farmland in Mosuowan irrigation area in Xinjiang as the research object, 13 indexes of soil organic matter, available phosphorus, available potassium, alkaline hydrolysis nitrogen, pH, EC, K+, Ca2+, Na+, Mg2+, Cl-, NO3-, SO42- were measured. The principal component analysis method and cluster analysis method were used to construct the minimum data set, and the soil comprehensive quality index method was used for comprehensive evaluation, the results of principal component analysis and cluster analysis were compared with the actual soil conditions in Mosuowan. The results show that: the content of organic matter in the farmland of Mosuowan irrigation area is less, and the alkaline hydrolysis nitrogen, available phosphorus and available potassium are abundant, but the distribution is uneven. The spatial distribution of salt is different, and the degree of soil salinization is high. Most of the soil quality levels are in the lower middle and the differences of soil quality are relatively large. The evaluation results obtained by the principal component analysis method in the study are more in line with the actual soil conditions of Mosuowan and more reasonable. The soil quality of Mosuowan irrigation area in Xinjiang is generally poor, and different construction methods are used to evaluate it. The principal component analysis method is the most reasonable, followed by cluster analysis method.
Key words:  oasis farmland; soil quality assessment; principal component analysis; cluster analysis; compare