Intra- and inter-event characteristics and controlling factors of agricultural nonpoint source pollution under different types of rainfall-runoff events

Xie, Hui; Dong, Jianwei; Shen, Zhenyao; Lei, Chen; Lai, Xijun; Qiu, Jiali; Wei, Guoyuan; Peng, Yexuan; Chen, Xinquan

doi:10.1016/j.catena.2019.104105

Cited by 52 publications

(13 citation statements)

References 59 publications

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“…Factor 3 showed a high loading of As. This result might be related to the use of As-containing fertilizer and pesticides, meaning that Factor 3 could be better explained as an agricultural source 21 , 55 . Therefore, we deduced that industrial discharge, parent rock weathering, and agriculture were the three main sources of TEs in surface water and riparian soil.…”

Section: Resultsmentioning

confidence: 99%

Risk assessment and source apportionment of trace elements in multiple compartments in the lower reach of the Jinsha River, China

et al. 2021

Sci Rep

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Studies on trace element (TE) pollution in abiotic matrices have typically focused on water, sediment, and soil, either separately or in pairs. The importance of multi-media connectivity has been ignored. This study analyzed the concentrations of 6 TEs in three connected environmental compartments of a 28-km section of the lower reach of the Jinsha River. The ecological risk posed by TEs was higher in soil than in sediment. The contribution of exposure pathways to human health risk were ranked as ingestion > dermal contact > inhalation. An improved regional environmental risk index (RERI) method was then developed to evaluate the comprehensive risk on both ecology and human health caused by TEs. The average RERI value was generally higher in the wet season (0.42) than in the dry (0.41) and dry-to-wet transition seasons (0.08) because of the combined effects of the high TE concentrations in riparian soil and the long exposure time. Source apportionment indicated that industrial activities, weathering of parent rock, and agricultural activities were possible sources of TEs in this region. The methods and results of this study could inform local environmental management and provide references for similar cases wherein multiple compartments of river systems should be considered.

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Section: Resultsmentioning

confidence: 99%

Risk assessment and source apportionment of trace elements in multiple compartments in the lower reach of the Jinsha River, China

et al. 2021

Sci Rep

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“…For treatments (1,4,7), the average leakage was 5.13 kg ha -1 , and medium water treatments (2,5,8) indicated an average of 3.44 kg ha -1 . The minimum average was 2.61 kg ha -1 for water treatments (3,6,9). For the crop yields, with the same fertilizer application, the following yields were shown: medium water>high water>low water.…”

Section: Effects Of Different Processing Interactionsmentioning

confidence: 87%

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mentioning

confidence: 99%

Nitrogen Utilization Characteristics and Their Influence on Groundwater in the Weishan Irrigation Region

Zhao

Jia

Guan

et al. 2020

Pol. J. Environ. Stud.

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In agricultural production activities, the problem of excessive application of water and fertilizer exists all over the world, and the agroecological environment is destroyed to some extent [1][2][3][4][5]. In particular, the water environment is contaminated severely, which impacts normal production activities [6,7]. Agricultural nonpoint source (NPS) pollution is now the No. 1 pollution source in waterways, with excessive application of water and fertilizer being the single largest contributor.

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“…Soil type influences rainfall runoff processes [72]. The average values of soil depth, soil clay fraction and soil bulk density in each catchment were calculated to analyze the influence of soil types on debris flows (Sde, Scf and Sbd, Figure 2).…”

Section: Factors Related To Materials Conditionsmentioning

confidence: 99%

Modeling the Spatial Distribution of Debris Flows and Analysis of the Controlling Factors: A Machine Learning Approach

Zhao

Meng

et al. 2021

Remote Sensing

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Debris flows are a major geological hazard in mountainous regions. For improving mitigation, it is important to study the spatial distribution and factors controlling debris flows. In the Bailong River Basin, central China, landslides and debris flows are very well developed due to the large differences in terrain, the complex geological environment, and concentrated rainfall. For analysis, 52 influencing factors, statistical, machine learning, remote sensing and GIS methods were used to analyze the spatial distribution and controlling factors of 652 debris flow catchments with different frequencies. The spatial distribution of these catchments was divided into three zones according to their differences in debris flow frequencies. A comprehensive analysis of the relationship between various factors and debris flows was made. Through parameter optimization and feature selection, the Extra Trees classifier performed the best, with an accuracy of 95.6%. The results show that lithology was the most important factor controlling debris flows in the study area (with a contribution of 26%), followed by landslide density and factors affecting slope stability (road density, fault density and peak ground acceleration, with a total contribution of 30%). The average annual frequency of daily rainfall > 20 mm was the most important triggering factor (with a contribution of 7%). Forest area and vegetation cover were also important controlling factors (with a total contribution of 9%), and they should be regarded as an important component of debris flow mitigation measures. The results are helpful to improve the understanding of factors influencing debris flows and provide a reference for the formulation of mitigation measures.

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Intra- and inter-event characteristics and controlling factors of agricultural nonpoint source pollution under different types of rainfall-runoff events

Cited by 52 publications

References 59 publications

Risk assessment and source apportionment of trace elements in multiple compartments in the lower reach of the Jinsha River, China

Risk assessment and source apportionment of trace elements in multiple compartments in the lower reach of the Jinsha River, China

Nitrogen Utilization Characteristics and Their Influence on Groundwater in the Weishan Irrigation Region

Modeling the Spatial Distribution of Debris Flows and Analysis of the Controlling Factors: A Machine Learning Approach

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