Arid
DOI10.1007/s12517-021-07356-0
Evaluation of oasis soil water quality and B2C shopping user experience optimization based on Markov chain
Chen, Zili; Liu, Aihong
Corresponding AuthorChen, ZL (corresponding author), Neijiang Normal Univ, Sch Econ & Management, Neijiang 641100, Sichuan, Peoples R China.
JournalARABIAN JOURNAL OF GEOSCIENCES
ISSN1866-7511
EISSN1866-7538
Year Published2021
Volume14Issue:11
Abstract in EnglishThe rapid development of Internet technology has promoted the development of economic models to new heights and produced many new business models. E-commerce is one of them. The B2C market has developed rapidly in recent years, and its prospects are very attractive, attracting people's attention, and more and more fans have joined this market. Facing such fierce competition, how to maintain and improve the existing customer identity has become one of the problems that B2C e-commerce companies should solve. In recent years, the land use status of the surveyed areas has undergone great changes, mainly due to the rapid expansion of arable land and the gradual decrease of natural vegetation. According to the survey of land utilization index, the survey results show that the degree of land utilization in the surveyed area continues to increase. The status of land use change is mainly caused by natural evolution and human activities, but human activities have the greatest impact on land use changes, and economic activities at various social levels will also affect land use, especially the number of people. Establish the correlation between the area of relevant land use types and the concentration of water quality indicators. By establishing the relationship between the concentration of water quality indicators and the area of the corresponding land use type, the response relationship to the water quality evaluation coefficient of each land use structure can be obtained. Cultivated land and residential land have a degree of mineralization; COD, TN, and TP have a mutually promoting relationship, while waters and grassland have a mutually inhibiting relationship with the above water quality indicators.
Keyword in EnglishMarkov chain Oasis soil water quality evaluation B2C shopping User experience
SubtypeArticle
Language英语
Indexed BySCI-E
WOS IDWOS:000668346800010
WOS KeywordQINLING OROGEN ; EVOLUTION ; GEOCHRONOLOGY ; GEOCHEMISTRY ; OPHIOLITE ; BASALT ; BELT ; AREA
WOS SubjectGeosciences, Multidisciplinary
WOS Research AreaGeology
Document Type期刊论文
Identifierhttp://119.78.100.177/qdio/handle/2XILL650/349576
Affiliation[Chen, Zili; Liu, Aihong] Neijiang Normal Univ, Sch Econ & Management, Neijiang 641100, Sichuan, Peoples R China
Recommended Citation
GB/T 7714
Chen, Zili,Liu, Aihong. Evaluation of oasis soil water quality and B2C shopping user experience optimization based on Markov chain[J],2021,14(11).
APA Chen, Zili,&Liu, Aihong.(2021).Evaluation of oasis soil water quality and B2C shopping user experience optimization based on Markov chain.ARABIAN JOURNAL OF GEOSCIENCES,14(11).
MLA Chen, Zili,et al."Evaluation of oasis soil water quality and B2C shopping user experience optimization based on Markov chain".ARABIAN JOURNAL OF GEOSCIENCES 14.11(2021).
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