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| Spatiotemporal changes and influencing factors of soil salinity in the Hetao Irrigation District |
| CHANG Xiaomin1,2, WANG Shaoli1,2*, CHEN Haorui1,2, FU Xiaojun3, XU nannan1,2, YANG Xiaoping4 |
| 1.Department of Irrigation and Drainage, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; 2.National Center for Efficient Irrigation Engineering and Technology Research-Beijing, Beijing 100048, China; 3.Shahaoqu Experiment Station of Hetao Irrigation District, Shanba, Inner Mongolia 015400, China; 4.Jiefangzha Administration Bureau of Hetao Irrigation District in Inner Mongolia, Hanggin Rear Banner, Inner Mongolia 015400, China |
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Abstract To study the soil salinity dynamics and the main influencing factors in Hetao Irrigation District, the Jiefangzha Irrigation Scheme(JFIS)was selected as a study area. With the soil salinity in different soil layers, irrigation water, drain discharge, groundwater depth, salt concentration of the groundwater, rainfall, evaporation, etc. as the data foundation, combining with the cultivated land and salt wasteland area changes, the total soil salinity changes of 1-m-deep soil layer both in the cultivated land and salt wasteland during 2006—2016 was quantitatively estimated, the soil salinity dynamics was analyzed, and a prediction model for soil salinity of 1-m-deep soil layer was established. The results show that the annual salt accumulation is 571 200/y, 46.12% of which accumulates in 1-m-deep soil layer and the rest migrates to deep soil or groundwater, the soil salinity of 1-m-deep soil layer decreases by 6.34$ in the cultivated land, while increases by 86.8% in salt wasteland.The results of principle component analysis show that groundwater depth, drain discharge and annual evaporation have the greatest impact on soil salinity, followed by salt concentration of the groundwater, irrigation water and rainfall. Multiple linear regression analysis indicates that the soil salinity of 1-m-deep soil layer in the cultivated land is significantly related to groundwater depth, and the correlation coefficient can research 0.732.
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Received: 25 April 2018
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