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Analysis of salinization dynamics by remote sensing in Hetao Irrigation District of North China

Author

Listed:
  • Yu, Ruihong
  • Liu, Tingxi
  • Xu, Youpeng
  • Zhu, Chao
  • Zhang, Qing
  • Qu, Zhongyi
  • Liu, Xiaomin
  • Li, Changyou

Abstract

Remote sensing can provide base information for documenting salinity change and for predicting its future evolution trend. The spatial and temporal distributions of soil salinization of Jiefangzha Irrigation Sub-district, the western part of Hetao Irrigation District of Inner Mongolia in northern China, were determined through analysis of satellite-based remote sensing images. Three Landsat TM/ETM+ satellite images taken during 14 years (1991Â ~Â 2005) coupled with field observations were chosen as the basic data sources. Supervised classification and visual interpretation were used to analyze salinity classification and statistical method was applied to analyze the relationship between salinity and groundwater depth. From 1991 to 2005 the area of heavy saline land decreased from 191 to 136Â km2, or 3.9Â km2 per year; the moderate saline land decreased from 318 to 284Â km2, or 2.5Â km2 per year; the slight saline land decreased from 510 to 394Â km2, or 8.2Â km2 per year. Therefore, soil salinization in Jiefangzha Irrigation Sub-district is decreasing in general. The electrical conductivity (EC) values measured from field have the following relationship with the reflectance composition obtained from LANDSAT Enhanced Thematic Mapper Plus (ETM+) data: ECÂ =Â 5.653(band5Â -Â band7)/(band5Â +Â band7)Â +Â 0.246. In addition, an r2 value between EC values and groundwater depth is 0.72, which indicates groundwater depth is the major factor for the regional soil salinity control. The paper can serve as a theoretical reference for optimal allocation of irrigation water resource and salinization control in Hetao Irrigation District.

Suggested Citation

  • Yu, Ruihong & Liu, Tingxi & Xu, Youpeng & Zhu, Chao & Zhang, Qing & Qu, Zhongyi & Liu, Xiaomin & Li, Changyou, 2010. "Analysis of salinization dynamics by remote sensing in Hetao Irrigation District of North China," Agricultural Water Management, Elsevier, vol. 97(12), pages 1952-1960, November.
    • Handle: RePEc:eee:agiwat:v:97:y:2010:i:12:p:1952-1960
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    11. Guanfang Sun & Yan Zhu & Zhaoliang Gao & Jinzhong Yang & Zhongyi Qu & Wei Mao & Jingwei Wu, 2022. "Spatiotemporal Patterns and Key Driving Factors of Soil Salinity in Dry and Wet Years in an Arid Agricultural Area with Shallow Groundwater Table," Agriculture, MDPI, vol. 12(8), pages 1-17, August.
    12. Liu, Meihan & Shi, Haibin & Paredes, Paula & Ramos, Tiago B. & Dai, Liping & Feng, Zhuangzhuang & Pereira, Luis S., 2022. "Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 261(C).
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    14. Zhao, Tianxing & Zhu, Yan & Ye, Ming & Yang, Jinzhong & Jia, Biao & Mao, Wei & Wu, Jingwei, 2022. "A new approach for estimating spatial-temporal phreatic evapotranspiration at a regional scale using NDVI and water table depth measurements," Agricultural Water Management, Elsevier, vol. 264(C).
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    16. Hui Gao & Jintong Liu & A. Egrinya Eneji & Lipu Han & Limei Tan, 2016. "Using Modified Remote Sensing Imagery to Interpret Changes in Cultivated Land under Saline-Alkali Conditions," Sustainability, MDPI, vol. 8(7), pages 1-14, July.
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    18. Du, Ruiqi & Chen, Junying & Zhang, Zhitao & Chen, Yinwen & He, Yujie & Yin, Haoyuan, 2022. "Simultaneous estimation of surface soil moisture and salinity during irrigation with the moisture-salinity-dependent spectral response model," Agricultural Water Management, Elsevier, vol. 265(C).
    19. Dong, Qin’ge & Yang, Yuchen & Zhang, Tinbin & Zhou, Lifeng & He, Jianqiang & Chau, Henry Wai & Zou, Yufeng & Feng, Hao, 2018. "Impacts of ridge with plastic mulch-furrow irrigation on soil salinity, spring maize yield and water use efficiency in an arid saline area," Agricultural Water Management, Elsevier, vol. 201(C), pages 268-277.

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