Combined impacts of precipitation and temperature on diffuse phosphorus pollution loading and critical source area identification in a freeze-thaw area

Peng, Wei; Ouyang, Wei; Hao, Fang; Gao, Xiang; Yi, Yu

doi:10.1016/j.scitotenv.2016.02.138

Cited by 24 publications

(4 citation statements)

References 52 publications

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“…However, the magnitude of this decrease is quite different among different subbasins. This implies that the critical source area of a phosphorus load changes with a change in hydrological conditions; this is in line with the findings of Wei et al (2016). This phenomenon indicates that in addition to hydrological conditions and NPS input (fertilizer, livestock and poultry excrement), many geophysical properties, such as topography, soil type and land cover type, also impact NPS pollution loads.…”

Section: Influence Of Hydrological Conditions On Phosphorus Pollution At Basin Scalesupporting

confidence: 83%

Evaluating the influence of hydrological condition on the phosphorus loads in an agricultural river basin using the SWAT model

et al. 2021

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Excessive phosphorus is an important cause of eutrophication. For river basin management, source identification and control of nonpoint source (NPS) pollution are difficult. In this study, to explore influences of hydrological conditions on phosphorus, the Soil and Water Assessment Tool (SWAT) model is applied to the Luanhe River basin in North China. Moreover, influences of the spatial scale of the livestock and poultry amount data on estimations of phosphorus loads are also discussed. The results show that applying town-level livestock and poultry amount data allows the model to perform better when estimating phosphorus loads, indicating that using data at a finer administrative level is necessary. For the typical wet year, the estimated annual phosphorus load was 2.6 times that in the typical dry year. Meanwhile, the contribution of pollution in summer to the annual load is greater in the wet year than that in the dry year. The spatial distributions of subbasins with high unit loads of phosphorus differ under different hydrological conditions, meaning that critical areas for pollution control vary with the wetness of each year. All these findings indicate that for pollution control at basin scale, considering the seasonal and interannual variabilities in hydrological conditions is highly demanded.

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Section: Influence Of Hydrological Conditions On Phosphorus Pollution At Basin Scalesupporting

confidence: 83%

Evaluating the influence of hydrological condition on the phosphorus loads in an agricultural river basin using the SWAT model

et al. 2021

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“…Alternative freezing and thawing of soils in cold regions may inuence the rates of P cycling in soils due to the physicochemical and/or biological effects. 5,17,18 The freeze-thaw events may increase the rate of P loss and potentially impact soil P availability and ecosystem productivity.…”

Section: 5mentioning

confidence: 99%

An experimental study on the effects of freeze–thaw cycles on phosphorus adsorption–desorption processes in brown soil

2017

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Freeze-thaw cycles (FTCs) can strongly influence the physical and chemical properties of soils in cold regions, which can in turn affect the adsorption-desorption characteristics of phosphorus (P) in the soil.In this study, a series of one-dimensional laboratory freeze-thaw experiments were conducted to determine the adsorption-desorption behavior of P in soil. Results showed that greater numbers of FTCs were associated with a decrease in the adsorption capacity of P in soil. Langmuir and Freundlich equations were adopted to fit the isothermal adsorption curves of P in soil. Values of the critical fitting constant indicated that FTCs weakened the absorption capacity of P in soil. At identical concentrations of exogenous P, the P desorption ratio for soil samples treated with FTCs was greater compared with the ratio measured in untreated soil.

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“…An Integrated Approach to Identify Critical Source Areas of Agricultural Nonpoint-Source Pollution at the Watershed Scale Feier Wang, Zuolei Sun, Siyuan Zheng, Jie Yu, and Xinqiang Liang* I dentifying critical source areas of nonpoint-source pollution is important to allow watershed managers to implement mitigation practices in a cost-effective way (Qiu, 2009). There is growing interest in adopting best management practices to reduce nonpoint-source pollution from critical source areas (Giri et al, 2012;Buchanan et al, 2013;Kumar and Mishra, 2015), especially in China. In the absence of monitoring data, models have been applied to identify critical source areas of nonpointsource pollution (Zhang and Huang, 2011;Shen et al, 2012;Niraula et al, 2013;Giri et al, 2016;Liu et al, 2016;Wei et al, 2016). Instead of process-based watershed models, statistical or index models are increasingly being developed to identify critical source areas because they require fewer input parameters (Buczko and Kuchenbuch, 2010;Huang et al, 2013;Liu et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…There is growing interest in adopting best management practices to reduce nonpoint‐source pollution from critical source areas (Giri et al, 2012; Buchanan et al, 2013; Kumar and Mishra, 2015), especially in China. In the absence of monitoring data, models have been applied to identify critical source areas of nonpoint‐source pollution (Zhang and Huang, 2011; Shen et al, 2012; Niraula et al, 2013; Giri et al, 2016; Liu et al, 2016; Wei et al, 2016). Instead of process‐based watershed models, statistical or index models are increasingly being developed to identify critical source areas because they require fewer input parameters (Buczko and Kuchenbuch, 2010; Huang et al, 2013; Liu et al, 2016).…”

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confidence: 99%

An Integrated Approach to Identify Critical Source Areas of Agricultural Nonpoint‐Source Pollution at the Watershed Scale

et al. 2018

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Nonpoint sources are difficult to control because their nutrient contribution from different parts of a watershed can vary substantially. Identifying critical source areas of nutrient loss is an important step in watershed pollution mitigation programs. This study sought to use an integrated index model to differentiate between subbasins that serve as critical source areas of N and P nonpoint sources of pollution in China's Tiaoxi watershed. In contrast with previous N and P indices, multiple sources of pollution (i.e., agronomic activity, domestic wastewater, livestock farming, and aquaculture) were considered. Nitrogen and P source factors (i.e., N and P annual export loads) and transport factors were multiplied to determine the overall risk of nutrient loss in the integrated index model. Critical source areas were identified by a higher nutrient loss index. Of the 92 subbasins within the Tiaoxi watershed, 13 were determined to be critical sources for N, 10 for P, and seven for both N and P. Critical source area identification corresponds well with water quality data from the subbasins. The results show the potential use of the integrated index model for prioritizing and targeting watershed pollution mitigation activities at the subbasin level.

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Combined impacts of precipitation and temperature on diffuse phosphorus pollution loading and critical source area identification in a freeze-thaw area

Cited by 24 publications

References 52 publications

Evaluating the influence of hydrological condition on the phosphorus loads in an agricultural river basin using the SWAT model

Evaluating the influence of hydrological condition on the phosphorus loads in an agricultural river basin using the SWAT model

An experimental study on the effects of freeze–thaw cycles on phosphorus adsorption–desorption processes in brown soil

An Integrated Approach to Identify Critical Source Areas of Agricultural Nonpoint‐Source Pollution at the Watershed Scale

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