2023
DOI: 10.1007/s00271-023-00849-8
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Effects of saline water irrigation on winter wheat and its safe utilization under a subsurface drainage system in coastal saline-alkali land of Hebei Province, China

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Cited by 12 publications
(10 citation statements)
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“…In this study, the saline‐alkali land information of Huanghua City in the coastal area was interpreted using Landsat TM images. The supervised classification method was used to interpret the remote sensing images, and the interpretation marks were established in combination with the characteristics of the aboveground vegetation (Gao et al, 2016; Gao, Zhao, et al, 2023). The classification accuracy of other classes was over 90%, except for marsh and aquaculture in 1991 and marsh alone in 2020.…”
Section: Discussionmentioning
confidence: 99%
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“…In this study, the saline‐alkali land information of Huanghua City in the coastal area was interpreted using Landsat TM images. The supervised classification method was used to interpret the remote sensing images, and the interpretation marks were established in combination with the characteristics of the aboveground vegetation (Gao et al, 2016; Gao, Zhao, et al, 2023). The classification accuracy of other classes was over 90%, except for marsh and aquaculture in 1991 and marsh alone in 2020.…”
Section: Discussionmentioning
confidence: 99%
“…Soil salinization can be influenced by topography, climate, groundwater salinity, land cover, and agricultural activities, but not the groundwater table depth (Zhang et al, 2022). This study did not discuss or analyze the influence of climate or agricultural activities on the groundwater table depth threshold because the climate and agricultural activities across the study area are largely the same; for example, the amount of rainfall and evaporation are the same, and there no irrigation is used in agriculture in it (Gao et al, 2023). Ren et al (2019) found that soil salinization exhibits a relationship with topographic conditions; the higher the altitude, the lower the soil salt content.…”
Section: Discussionmentioning
confidence: 99%
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“…According to the PCA conducted for 2022, the rst three PCs accounted for 94.69% of the variance, and their contribution rates were 60.02%, 21.51% and 13.17%, respectively. The three PCs for 2021 and 2022 can be expressed as follows: PC2021 1 = 0.103X 1 -0.183X 2 -0.181X 3 -0.100X 4 + 0.162X 5 + 0.186X 6 + 0.167X 7 + 0.098X 8 + 0.100X 9 (7) PC2021 2 = 0.033X 2 + 0.148X 1 + 0.102X 3 + 0.349X 4 + 0.128X 5 -0.043X 6 -0.041X 7 + 0.364X 8 + 0.357X 9 (8) PC2021 3 = 0.784X 1 -0.063X 2 + 0.268X 3 -0.095X 4 + 0.050X 5 + 0.125X 6 -0.455X 7 -0.092X 8 + 0.008X 9 (9) PC2022 1 = 0.153X 1 -0.110X 2 -0.114X 3 -0.107X 4 + 0.153X 5 + 0.164X 6 + 0.175X 7 + 0.112X 8 + 0.177X 9 (10) PC2022 2 = 0.277X 2 + 0.372X 1 + 0.360X 3 + 0.146X 4 + 0.078X 5 -0.098X 6 -0.006X 7 + 0.347X 8 + 0.121X 9 (11) PC2022 3 =-0.060X 1 + 0.046X 2 -0.312X 3 + 0.640X 4 -0.327X 5 + 0.331X 6 + 0.186X 7 + 0.260X 8 -0.107X 9 (12) The comprehensive evaluation function can be established for 2020 to 2022 by the contribution rate of the PCs as follows: I2020 = 0.82F2020 1 + 0.18F2020 2 (13) I2021 = 0.60F2021 1 + 0.27F2021 2 + 0.13F2021 3 (14) I2022 = 0.63F2022 1 + 0.23F2022 2 + 0.14F2022 3 (15) where I year is the comprehensive score.…”
Section: Optimal Irrigation Water Quality For High-quality Winter Jujubementioning
confidence: 99%