Effects of watershed char and climate variables on annual runoff in different climatic zones in China

Huo, Jiayi; Liu, Changjun; Yu, Xinxiao; Jia, Guodong; Chen, Lihua

doi:10.1016/j.scitotenv.2020.142157

Cited by 19 publications

(11 citation statements)

References 48 publications

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“…The 800 mm precipitation contour is considered to be an important geographic boundary between southern and northern China, as well as the boundary between humid and semi-humid regions and between subtropical and temperate monsoon climate zones [ 38 , 39 ]. Besides studying the general relationship between hydrothermal conditions and soil pH, we also divided the study area into regions with MAP < 800 mm and regions with MAP > 800 mm to explore the differences in relationship between hydrothermal conditions and soil pH in different regions.…”

Section: Methodsmentioning

confidence: 99%

“…where, γ h is the semi-variance value for all pairs at a lag distance h; n represents the number of pairs of observations separated by the distance h, Z(x i ) is the measured value of the variable at point x i , Z(x i + h) is the measured value of the variable at point x i + h. The 800 mm precipitation contour is considered to be an important geographic boundary between southern and northern China, as well as the boundary between humid and semi-humid regions and between subtropical and temperate monsoon climate zones [38,39]. Besides studying the general relationship between hydrothermal conditions and soil pH, we also divided the study area into regions with MAP < 800 mm and regions with MAP > 800 mm to explore the differences in relationship between hydrothermal conditions and soil pH in different regions.…”

Section: Data Processing and Analysismentioning

confidence: 99%

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Spatial Distribution and Estimation Model of Soil pH in Coastal Eastern China

Xie

Qiu

Feng

et al. 2022

IJERPH

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Soil pH is an essential indicator for assessing soil quality and soil health. In this study, based on the Chinese farmland soil survey dataset and meteorological dataset, the spatial distribution characteristics of soil pH in coastal eastern China were analyzed using kriging interpolation. The relationships between hydrothermal conditions and soil pH were explored using regression analysis with mean annual precipitation (MAP), mean annual temperature (MAT), the ratio of precipitation to temperature (P/T), and the product of precipitation and temperature (P*T) as the main explanatory variables. Based on this, a model that can rapidly estimate soil pH was established. The results showed that: (a) The spatial heterogeneity of soil pH in coastal eastern China was obvious, with the values gradually decreasing from north to south, ranging from 4.5 to 8.5; (b) soil pH was significantly correlated with all explanatory variables at the 0.01 level. In general, MAP was the main factor affecting soil pH (r = −0.7244), followed by P/T (r = −0.6007). In the regions with MAP < 800 mm, soil pH was negatively correlated with MAP (r = −0.4631) and P/T (r = −0.7041), respectively, and positively correlated with MAT (r = 0.6093) and P*T (r = 0.3951), respectively. In the regions with MAP > 800 mm, soil pH was negatively correlated with MAP (r = −0.6651), MAT (r = −0.5047), P/T (r = −0.3268), and P*T (r = −0.5808), respectively. (c) The estimation model of soil pH was: y = 23.4572 − 6.3930 × lgMAP + 0.1312 × MAT. It has been verified to have a high accuracy (r = 0.7743, p < 0.01). The mean error, the mean absolute error, and the root mean square error were 0.0450, 0.5300, and 0.7193, respectively. It provides a new path for rapid estimation of the regional soil pH, which is important for improving the management of agricultural production and slowing down soil degradation.

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Section: Methodsmentioning

confidence: 99%

Section: Data Processing and Analysismentioning

confidence: 99%

Spatial Distribution and Estimation Model of Soil pH in Coastal Eastern China

Xie

Qiu

Feng

et al. 2022

IJERPH

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“…Streamflow was generally affected by many factors, such as farmland reclamation, urban expansion, geomorphic properties, Frontiers in Environmental Science frontiersin.org climate warming and so on, but on the whole, it is mainly affected by climate change and land use (Cooley et al, 2021;Huo et al, 2021;Su et al, 2021). An opposite trend of streamflow was detected for the MYC and XDC during 1956-2019.…”

Section: Factors Affecting Streamflow Variations In the Selected Catc...mentioning

confidence: 99%

“…In addition, the groundwater level rose under the influence of the policy of prohibiting overexploitation of groundwater, reducing streamflow infiltration of the XDC and maintaining a normal circulation of surface water (Hochmuth et al, 2015;Huang et al, 2017). Moreover, the proportion of grassland and forest land was considered as the main factor affecting the annual streamflow of basins in temperate continental climate regions (Huo et al, 2021), and the XDC, with a total proportion of grassland and forest land accounting for 93% of the area, may not be greatly affected by the warming and wetting climate. All of these influences affect streamflow variations and increase the complexity of hydrological processes, and indicate that human activities and climate change play different roles in different regions and at different scales.…”

Section: Factors Affecting Streamflow Variations In the Selected Catc...mentioning

confidence: 99%

“…Numerous researches have reported on streamflow variation, based on long-term observation data, remote sensing data, hydrological simulation data (Zhang et al, 2015;Liu et al, 2017), and even analyzed the driving mechanism behind the observed variation trends (Huo et al, 2021;Su et al, 2021). Models such as the Soil and Water Assessment Tool (SWAT) and the Budyko-based models (Yang et al, 2014;Dey and Mishra, 2017;Zhai and Tao, 2017), the paired catchment method (Rangecroft et al, 2019) and statistical methods based on the double mass curve (Gao et al, 2017) are now available, to elucidate the role of climate change and anthropogenic stressors in shaping the streamflow hydrograph.…”

Section: Introductionmentioning

confidence: 99%

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Effects of precipitation changes and land-use alteration on streamflow: A comparative analysis from two adjacent catchments in the Qilian Mountains, arid northwestern China

Bai

Zhao

Liu

et al. 2023

Front. Environ. Sci.

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Comparative analysis of the impacts of precipitation and land use on streamflow from adjacent catchments is critical to exploring pathways toward water security and sustainable development. In this work, two adjacent catchments (the Mayinghe and Xidahe, abbreviated as MYC and XDC, respectively) in northwestern China were selected to compare the impacts of precipitation change and land use alteration on streamflow change during 1956–2019 using field observation streamflow data and satellite data. An opposite trend of streamflow was found for the two catchments from 1956 to 2019: the streamflow decreased significantly in the MYC (-0.63 × 107m3/10a, p < 0.05), while it increased in the XDC (0.71 × 107m3/10a, p < 0.05). Land conversion dominated the streamflow reduction in the MYC, with a contribution of about 68.3%. In the XDC, precipitation was confirmed to be the major factor driving the increase in streamflow. The streamflow for farmland irrigation reached 27.97 × 104 m3/km2 in the MYC, which was the leading factor of streamflow reduction in the basin. The findings obtained from this work can shed light on the quantitative understanding of streamflow changes in small catchments and offer a scientific basis for sustainable water management in other inland river basins.

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Effects of rainfall patterns, vegetation cover types and antecedent soil moisture on run‐off and soil loss of typical Luvisol in southern China

Wang,

Tian,

Guo

et al. 2024

Earth Surf Processes Landf

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Identifying the effect of precipitation, vegetation cover and underlying surface conditions on run‐off and soil loss is essential for understanding the mechanism of water erosion. The study site is located in the Shiqiaopu watershed of Hubei Province, China. The long‐term (2017–2021) monitoring data for this study included rainfall characteristics, antecedent soil moisture, run‐off and soil loss in four run‐off plots with four vegetation cover types (tea garden, soybean and rape, peanut and rape, and vetiver zizanioides). K‐means clustering and discriminant analysis were used to classify rainfall patterns. The improved redundancy analysis was used to quantitatively explore the relative importance of rainfall characteristics, vegetation cover and antecedent soil moisture to run‐off and soil loss. The results showed that the rainfall patterns were mainly divided into three categories: A (medium duration, small rainfall, medium rain intensity, high frequency), B (long duration, large rainfall, light rain intensity, low frequency) and C (short duration, medium rainfall, heavy rain intensity, medium frequency). The average run‐off coefficient, run‐off depth of different rainfall patterns were C > B > A, and the cumulative run‐off depth and soil loss under the A rainfall pattern were the largest. For the run‐off plots with four vegetation cover types, vetiver zizanioides had the best effect on run‐off and sediment reduction, while peanut and rape had the worst effect. The driving factor that contributed the most to the run‐off depth was vegetation cover (19.36%), and rainfall characteristics explained the most to the soil loss (11.65%). We also found that although antecedent soil moisture had a small explanation rate for soil loss, it was significantly correlated with the run‐off depth under the vegetation cover of the tea garden. Therefore, regional soil erosion should be combined with the importance of driving factors to take comprehensive control measures.

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Effects of watershed char and climate variables on annual runoff in different climatic zones in China

Cited by 19 publications

References 48 publications

Spatial Distribution and Estimation Model of Soil pH in Coastal Eastern China

Spatial Distribution and Estimation Model of Soil pH in Coastal Eastern China

Effects of precipitation changes and land-use alteration on streamflow: A comparative analysis from two adjacent catchments in the Qilian Mountains, arid northwestern China

Effects of rainfall patterns, vegetation cover types and antecedent soil moisture on run‐off and soil loss of typical Luvisol in southern China

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