Coal Mining Impacts on Baseflow Detected Using Paired Catchments

Sun, Wenyi; Song, Xiaoyan; Zhang, Yongqiang; Chiew, Francis H. S.; Post, David; Zheng, Hongxing; Song, Songbai

doi:10.1029/2019wr025770

Cited by 18 publications

(12 citation statements)

References 48 publications

(81 reference statements)

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“…The changes in soil properties induced from ground fissures mainly comes from the alteration in hydrogeological processes, which are influenced by multiple characteristics of ground fissures [22,23]. Some research has indicated that the width and density of ground fissures are significantly correlated with the change of soil moisture, cohesion, and organic matter [24], by determining the rate and direction of runoff around ground fissures [25].…”

Section: Introductionmentioning

confidence: 99%

Impacts of Ground Fissures on Soil Properties in an Underground Mining Area on the Loess Plateau, China

Yang

Hou

et al. 2022

Land

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Mining-induced ground fissures are the main type of geological disasters found on the Loess Plateau, China, and cause great impacts on the soil properties around ground fissures. However, little research has been conducted on the quantitative relationship between ground fissures and changes in soil properties. To address this, 40 ground fissures in the Yungang mining area, Datong City, Shanxi Province, China, were investigated, and changes in soil properties (soil organic matter, soil moisture, field capacity, bulk density, soil porosity, and grain compositions) were revealed by the difference in soil properties between the edge and contrast points around ground fissures. Redundancy analyses were used to illustrate the relationships between the value (Si_DV) and percentage (Si_DP) of the difference in soil properties between the edge and contrast points, as well as the ground fissures. The characteristics of ground fissures that had a significant correlation according to Pearson correlation analysis with Si_DP were selected and analyzed via multivariate linear fitting model, random forest model, and Back Propagation (BP) neural network model, respectively. Results show that soil organic matter, soil moisture content, bulk density, field capacity, and the content of clay at the edge points were significantly less than those at the contrast points; conversely, soil porosity at the edge points was significantly greater. The average percentage of the difference between the edge points and contrast points of ground fissures in these six properties was 15.27%, while soil moisture content showed the greatest change (20.65%). The Si_DP was significantly correlated with the width, slope, and vegetation coverage of ground fissures; however, the vegetation coverage was the determining factor. BP neural network model had the greatest performance in revealing the relationships between ground fissures and changes in soil properties. The model for soil organic matter had the highest accuracy (R2 = 0.89), and all others were above 0.5. This research provides insights into the quantitative relationship between ground fissures and their impacts on soil physical properties, which can be used in conjunction with remote sensing images to rapidly assess soil erosion risks caused by mining on a large scale, given that soil physical properties are closely related to topsoil stability.

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Section: Introductionmentioning

confidence: 99%

Impacts of Ground Fissures on Soil Properties in an Underground Mining Area on the Loess Plateau, China

Yang

Hou

et al. 2022

Land

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“…Coal mining activities can have severe and long-term impacts on catchment hydrological processes and stream ecosystems [23,24]. Relevant studies have shown that coal mining and drainage processes form goaf-like funnels (similar to pumping wells) around the coal mine, resulting in the decline of the surrounding groundwater level [25].…”

Section: Introductionmentioning

confidence: 99%

Attribution of Runoff Decrease at the Guanyintang Station in the Yongding River Considering the Impact of Coal Mining

Tao

Jia

Niu

et al. 2022

Water

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The Yongding River basin has greatly changed in recent years; its runoff has decreased sharply and has even been cut off. In this study, the Guanyintang station in the upstream Yongding River basin was selected to quantify the impacts of climate change, water use, and coal mining on its runoff. The Mann–Kendall analysis method was used to analyze the climate change trend of the Guanyintang basin from 1956 to 2018. Then, the water and energy transfer processes in large river basins (WEP-L) model was improved to consider the impact of coal mining and applied to quantitatively analyze the impact of meteorological elements and human activities on runoff. The results show that, from 1956 to 2018, the precipitation in the Guanyintang basin decreased slightly, whereas the temperature obviously increased, the potential evapotranspiration changed marginally, and the runoff significantly decreased with a mutation point around 1998. The study period was divided into a calibration period (1956–1976), validation period 1 (1977–1997), and validation period 2 (1998–2018). Compared with the calibration period, the runoff in the validation periods decreased a lot and could not meet the water balance without considering the coal mining impact. After considering coal mining, the simulation accuracy of the model was satisfied. Generally speaking, climate change and coal mining were the main factors for runoff attenuation in validation period 1. In validation period 2, coal mining became the dominant factor, whereas land use change also made certain contributions.

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“…By comparing the changes of hydrological variables in the two basins, the impact of human activity on runoff is explored. The principle of this method is simple, but the test period is too long and the cost is high, so it is limited to small basin applications [16][17][18]. Therefore, according to the actual situation of the study area, the appropriate quantitative analysis method needs to be selected to ensure the accuracy of the study results.…”

Section: Introductionmentioning

confidence: 99%

Temporal and Spatial Changes of Runoff Regime in the Yellow River Basin from 1956 to 2017

Yang

Liu

Han

et al. 2021

Water

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The Yellow River is one of the major rivers with severe runoff declines in China, but there are significant differences in runoff changes in the upper and lower reaches of the basin and among different tributaries. However, the characteristic of runoff change and its spatial heterogeneity are not well understood in the whole basin. In this paper, 48 hydrological stations located in the mainstream and major tributaries were selected, and the meteorological and runoff data from 1956 to 2017 were collected. The multi-year and intra-year changes in runoff were analyzed, and then the attribution of climate change and human activity to runoff change was quantified by the climate elasticity coefficients. The results showed that: (1) in the past 60 years, the runoff of the Yellow River showed a serious decrease trend of −8.25 mm/10a. Moreover, most tributaries decreased significantly in runoff with a rate of −1.42 mm/10a to −28.99 mm/10a; (2) for the whole basin, the contribution of climate change and human activity to runoff changes was 13% and 87%, respectively. Moreover, the contribution of the two factors varied considerably in different tributaries. Finally, focusing on different runoff regime and socioeconomic characteristics, this study provided corresponding water resources adaptive management suggestions.

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Coal Mining Impacts on Baseflow Detected Using Paired Catchments

Cited by 18 publications

References 48 publications

Impacts of Ground Fissures on Soil Properties in an Underground Mining Area on the Loess Plateau, China

Impacts of Ground Fissures on Soil Properties in an Underground Mining Area on the Loess Plateau, China

Attribution of Runoff Decrease at the Guanyintang Station in the Yongding River Considering the Impact of Coal Mining

Temporal and Spatial Changes of Runoff Regime in the Yellow River Basin from 1956 to 2017

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