The chemical characteristics of shallow groundwater in abandoned cropland on Yutian Oasis in Xinjiang |
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DOI:10.7606/j.issn.1000-7601.2010.01.39 |
Key Words: abandoned cropland shallow groundwater chemical characteristics Yutian Oasis |
Author Name | Affiliation | WANG Qingfeng | College of Resources and Environmental Science, Xinjiang University, Urumqi, Xinjiang 830046, China
Key Laboratory for Oasis Ecology, Ministry of Education, Urumqi, Xinjiang 830046, China | Hamid·Yimit | Key Laboratory for Oasis Ecology, Ministry of Education, Urumqi, Xinjiang 830046, China | LIU Guohua | College of Resources and Environmental Science, Xinjiang University, Urumqi, Xinjiang 830046, China
Key Laboratory for Oasis Ecology, Ministry of Education, Urumqi, Xinjiang 830046, China | Saidiguli·Haximu | College of Resources and Environmental Science, Xinjiang University, Urumqi, Xinjiang 830046, China
Key Laboratory for Oasis Ecology, Ministry of Education, Urumqi, Xinjiang 830046, China | LU Yunhai | College of Resources and Environmental Science, Xinjiang University, Urumqi, Xinjiang 830046, China
Key Laboratory for Oasis Ecology, Ministry of Education, Urumqi, Xinjiang 830046, China | ZHANG Lina | College of Resources and Environmental Science, Xinjiang University, Urumqi, Xinjiang 830046, China
Key Laboratory for Oasis Ecology, Ministry of Education, Urumqi, Xinjiang 830046, China | Ahmatjan·Omar | College of Resources and Environmental Science, Xinjiang University, Urumqi, Xinjiang 830046, China
Key Laboratory for Oasis Ecology, Ministry of Education, Urumqi, Xinjiang 830046, China | XIONG Chao | College of Resources and Environmental Science, Xinjiang University, Urumqi, Xinjiang 830046, China |
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Abstract: |
Two sampling belts are laid in a typical lot on Yutian Oasis, which are almost paralleling. With GPS positioning, 13 points are set along the belts to collect samples of groundwater, which were sent to laboratory to study their chemical characteristics. Using statistical analysis, it was found out that the average level of ions of shallow groundwater in the study area is K++Na+>Mg2+>Ca2+ and Cl->HCO3->SO42->CO32-. The coefficients of variation of CO32- and SO42- are both bigger, and the other ions are all between 30% and 65%. For those of buried depth of groundwater, TDS and EC are bigger, and all bigger than 50%. The coefficient of variation of pH value is the least, only 3.06%, and the pH values range between 8.35 and 9.28, which are all bigger than 7 and all weak alkaline. Through principal component analysis, it was also found out that principal components that impact the study area are 3 in all: The first principal component F1 has significant relationship with K++Na+, Cl- and CO32-; The second principal component F2 has significant relationship with buried depth and SO42-; The third principal component F3 has significant relationship with Mg2+. And the three principal components have covered more than 83% information of the eight i
ndexes. Linear regression analysis shows that there is a significant correlation between TDS and K++Na+ and Cl-, and the fitting equations have significant statistical significance. |
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