Effects of rainfall and rocky desertification on soil erosion in karst area of Southwest China

Pan, Lidong; Li, Rui; Shu, Dong-cai; Zhao, Li-na; Chen, Mei; Jing, Jun

doi:10.1007/s11629-022-7458-7

Cited by 19 publications

(3 citation statements)

References 52 publications

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“…At present, there are various types of rainfall erosion force calculation models commonly used in the southwest karst region, including the erosivity estimation model based on daily or monthly rainfall established by power law, exponential or nonlinear multi-parameter equations (Silva, 2004; Wischmeier and Smith, 1965; Richardson et al, 1983; Xie et al, 2016; Yu and Rosewell, 1996; Shi et al, 2006; Zhang et al, 2002). These rainfall erosion estimation models are widely used in the karst region of southwest China and have been recognized by many researchers (Cao et al, 2020a; Zhu et al, 2021; Dai et al, 2015; Pan et al, 2022; Gao and Wang, 2019b). Zhu et al (2021) compared the applicability of the above model in the southwest karst region using relative error (RE) and absolute relative error (ARE) as measurement standards.…”

Section: Methodsmentioning

confidence: 99%

Identification of priority areas for soil erosion control based on minimum administrative units and karst landforms in karst areas of Guizhou

Jing

Zhang

et al. 2023

Progress in Physical Geography: Earth and Environment

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Soil erosion is one of the most serious ecological threats in karst areas of Southwest China. The identification of priority areas for remediation and its driving factors is essential to improving the efficiency of prevention and control. The present study systematically considered natural and socio-economic factors not involved in the revised universal soil loss equation (RUSLE) model, and determined priority areas for soil erosion management based on minimum administrative units and karst landforms. Then, the driving factors were identified by using geographic detector. The results showed that the priority areas were mainly concentrated in the southwest, southeast and northeast, overlapping with the severely eroded areas (Erosion rate=45.79 t·ha−1·a−1). Gradient risk zones had geomorphological differences, but the most eroded zones were all controlled by bedrock exposure rates, elevation, or slope position. The spatial correlation and high erosion rate of priority areas provided opportunities to optimize the efficiency and cost of control. Driving factors were affected by karst landforms. The explanation power of slope position on soil erosion was higher in the peak cluster depressions and karst basins with small undulations ([Formula: see text]), while the karst gorges, trough valleys and plateaus with large undulations gradually decreased ([Formula: see text]). The interaction of driving factors will enhance the explanatory power for soil erosion. Among them, the repetition rate of elevation was 60%, and the repetition rate of lithology and development index was 40%. This study provides useful information for identifying and managing priority areas for soil erosion control, and enriches the theory of soil and water conservation in karst areas.

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Section: Methodsmentioning

confidence: 99%

Identification of priority areas for soil erosion control based on minimum administrative units and karst landforms in karst areas of Guizhou

Jing

Zhang

et al. 2023

Progress in Physical Geography: Earth and Environment

Self Cite

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“…On the one hand, the special lithology and complex geological structure of the karst canyon area caused strong vertical development of landforms, obvious vertical differentiation of the regional landscape, and continuous undulating topography. Due to the large terrain drop, the thin soil, and poor water retention capacity, the surface water retention capacity and regulation capacity are low, and the rainfall quickly flows into the ground along the fissures and slopes without surface vegetation cover [44]. Furthermore, water vapor mainly comes from the westerly or southwesterly airflow brought by the cyclonic circulation in the Bay of Bengal and the southerly airflow advances along the western side of the subtropical high pressure in the South China Sea region, but the northerly airflow on the eastern side of the Bay of Bengal anticyclone and the northeasterly airflow in the northern part of the South China Sea cyclone block the water vapor channels that are transported to Guizhou all year round [45], resulting in less local water vapor and precipitation.…”

Section: Frequent Drought Disaster Areas and Cause Analysismentioning

confidence: 99%

A New Agricultural Drought Disaster Risk Assessment Framework: Coupled a Copula Function to Select Return Periods and the Jensen Model to Calculate Yield Loss

Liu

Pan

et al. 2023

Sustainability

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China is one of the regions with the most frequent drought disasters and serious social and economic losses. Agricultural drought loss is one the most serious natural disasters. Due to climate change, the regional agricultural drought risk assessment has always been the focus of the academic circle. This study takes Zunyi City as an example, which is the most typical City of karst landform development. The monthly precipitation data set of ground meteorological observation stations in Zunyi City from 1956 to 2020 was selected, and the drought characteristic variables were extracted by the coupled use of the precipitation anomaly percentage (Pa) index and the theory of runs. The Copula function was applied to establish the joint distribution model of characteristic variables, obtaining the drought frequency and drought return periods. Combined with the Jensen model, the agricultural drought loss rate under different drought return periods in the target year (2020) was calculated and evaluated. The results showed that the Gumbel-Hougaard copula function was suitable for the joint distribution of drought joint variables in Zunyi City. From 1956 to 2020, fewer droughts occurred in Zhengan and Wuchuan, and the most droughts took place in Fenggang, Meitan, and Yuqing. The average drought duration in each county was about 1.5 months, and the average drought severity was about 0.35 in spatial distribution. Crop loss rate caused by drought increased and the affected area expanded with the increase of drought return periods (5, 10, 20, 50, and 100 years) in temporal distribution. Meanwhile, the drought disaster was most drastic in the eastern region, followed by the south, north, west, and central area. The results were highly consistent with the historical drought in Zunyi City, which verified the validity of the model. This study could provide scientific knowledge for drought resistance and reasonable mitigation programing for the security of the regional agricultural production and the sustainability of social and economic development.

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“…Karst underground rivers are a major source of underground runoff in the karst areas of southern China (Pan et al, 2022; Li et al, 2022; Zhang, Wu, et al, 2023). These rivers are characterized by large and stable water volumes, as well as good water quality.…”

Section: Introductionmentioning

confidence: 99%

Hydrogeochemical characteristics, driving factors, and health risk assessment of karst groundwater in Southwest Hubei Province, China

Shan,

Tian,

Xie

et al. 2024

Water Environment Research

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In South China, karst groundwater is an important water resource for industrial, agricultural, and drinking purposes. However, karst aquifers are highly vulnerable to pollution, leading to deteriorating karst groundwater quality and posing potential health risks to local residents. In this study, 22 groundwater samples were collected from a karst aquifer in the southwestern part of Hubei Province. The hydrogeochemical characteristics and their controlling factors were examined, and the potential health risks associated with groundwater pollutant concentrations in karst groundwater were assessed. The results showed that the groundwater is slightly alkaline with low chemical oxygen demand values, indicating good water quality. The groundwater facies type was identified as HCO3‐Ca at most sample spots, showing low total dissolved solids concentrations. Substantial spatial variations in Na+, CO32−, and NO2− concentrations were found, whereas spatial variations in the K+, Ca2+, Cl−, HCO3−, and F− concentrations were small. In addition, the dissolution of gypsum deposits and magnesium carbonate sedimentary rocks at sampling sites resulted in groundwater facies types of HCO3•SO4‐Ca and HCO3‐Ca•Mg, with low total dissolved solids concentrations. The karst groundwater chemistry in the study area was mainly controlled by water–rock interactions, as well as by the dissolution of gypsum deposits and magnesium carbonate sedimentary rocks at specific groundwater sampling sites. The groundwater Cl− concentrations were mainly affected by atmospheric precipitation. NO3− was mainly derived from atmospheric precipitation, domestic sewage, septic tanks, and industrial activities, whereas SO42− was derived from atmospheric precipitation, sulfate rock dissolution, and sulfide mineral oxidation. These results highlight the absence of potential human health risks of NO3− and F− to infants, children, and adults, as their concentrations are below the corresponding regional background values. In contrast, the potential health risks of Cl− cannot be ignored, particularly for infants. This study offers scientific guidelines for protecting and allocating local groundwater resources.

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Effects of rainfall and rocky desertification on soil erosion in karst area of Southwest China

Cited by 19 publications

References 52 publications

Identification of priority areas for soil erosion control based on minimum administrative units and karst landforms in karst areas of Guizhou

Identification of priority areas for soil erosion control based on minimum administrative units and karst landforms in karst areas of Guizhou

A New Agricultural Drought Disaster Risk Assessment Framework: Coupled a Copula Function to Select Return Periods and the Jensen Model to Calculate Yield Loss

Hydrogeochemical characteristics, driving factors, and health risk assessment of karst groundwater in Southwest Hubei Province, China

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