Rainfall intensity and phosphorus source effects on phosphorus transport in surface runoff from soil trays

Shigaki, Francirose; Sharpley, Andrew N.; Prochnow, Luís Ignácio

doi:10.1016/j.scitotenv.2006.10.048

Cited by 143 publications

(93 citation statements)

References 28 publications

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“…Increased prevalence of storm events resulted in a considerable increase in P export from watershed landscapes to rivers (Table 2). Increasing the number of storm events as well as the variability in daily rainfall implies a greater erosivity and greater depth of leaching, which enhance P loss by erosion and leaching (Shigaki et al, 2007;Sharpley et al, 2008). The influence of storm events on P export to rivers is supported by a 20% increase in total suspended solids (TSS) concentration during the high flow regime (Fig.…”

Section: Response Of Riverine Tp Export To Changes In Land-use and Hymentioning

confidence: 99%

Factors controlling phosphorus export from agricultural/forest and residential systems to rivers in eastern China, 1980–2011

Chen

Wang

et al. 2016

Journal of Hydrology

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s u m m a r yThis study quantified long-term response of riverine total phosphorus (TP) export to changes in land-use, climate, and net anthropogenic phosphorus inputs to agricultural/forest (NAPI AF ) and residential (NAPI R ) systems for the upper Jiaojiang watershed in eastern China. Annual NAPI AF rose by 73% in 1980-1999 followed by a 41% decline in 2000-2011, while NAPI R continuously increased by 122% over the 1980-2011 period. Land-use showed a 63% increase in developed land area (D%) and a 91% increase in use of efficient drainage systems on agricultural land area (AD%) over the study period. Although no significant trends were observed in annual river discharge or precipitation, the annual number of storm events rose by 90% along with a 34% increase in the coefficient of variation of daily rainfall. In response to changes of NAPI AF , NAPI R , land-use and precipitation patterns, riverine TP flux increased 16.0-fold over the 32-year record. Phosphorus export via erosion and leaching was the dominant pathway for P delivery to rivers. An empirical model incorporating annual NAPI AF , NAPI R , precipitation, D%, and AD% was developed (R 2 = 0.96) for apportioning riverine TP sources and predicting annual riverine TP fluxes. The model estimated that NAPI AF , NAPI R and legacy P sources contributed 19-56%, 16-67% and 13-32% of annual riverine TP flux in 1980-2011, respectively. Compared to reduction of NAPI AF , reduction of NAPI R was predicted to have a greater immediate impact on decreasing riverine TP fluxes. Changes in anthropogenic P input sources (NAPI AF vs. NAPI R ), land-use, and precipitation patterns as well as the legacy P source can amplify P export from landscapes to rivers and should be considered in developing P management strategies to reduce riverine P fluxes.

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Section: Response Of Riverine Tp Export To Changes In Land-use and Hymentioning

confidence: 99%

Factors controlling phosphorus export from agricultural/forest and residential systems to rivers in eastern China, 1980–2011

Chen

Wang

et al. 2016

Journal of Hydrology

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“…2). Information associated with the duration of the dry and wet seasons is important for water quality management [28,29]. The determination of the high and low flow period can be done in the same manner (see Fig.…”

Section: Methods For the Division Of Dry And Wet Seasons Or Periodmentioning

confidence: 99%

“…SporreMoney et al [28] and Shigaki et al [29] also found that the concentrations of the reactive and particulate phosphorus in runoff increase with the rainfall intensity enhancement based on a rainfall simulation study. And there is also a link between phosphorus runoff from agricultural fields and freshwater eutrophication [29].…”

Section: Introductionmentioning

confidence: 94%

“…And wet season in other years appeared from May to October, which is different from the general convention. Thus the dry and wet seasons patterns of rainfall for different years are different, which might influence the variation of water quality [28,29]. The CWT of rainfall effectively identified significant temporal variability in the frequency scales and the dry and wet seasons in each year.…”

Section: Factors Influenced the Variation Of Water Quality Between Drmentioning

confidence: 99%

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Water Quality Management Based on Division of Dry and Wet Seasons in Pearl River Delta, China

Fan

Cui

Zhang

et al. 2012

CLEAN Soil Air Water

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In the Pearl River Delta (PRD), river water quality deteriorates continually due to the population increase and ongoing industrialization and urbanization. In this study, a water quality management paradigm based on the seasonal variation is proposed. For better exploring the seasonal change of water quality, wavelet analysis was used to analyze the division of dry and wet seasons in the PRD during 1952PRD during -2009. Then water quality seasonal variation in 2008 and relevant impact factors were analyzed by multivariate statistic methods as a case to make some management measures. The results show that there are some differences of dry and wet seasons division among different years. Wet season mainly appear from April to September, which occupy the largest proportion among the 58 years (about 70%) and then followed by the wet season from May to October (about 13.8% of the total years). As to the water quality of 2008, significant differences exist between dry and wet seasons for 17 water quality parameters except TP, NO À 3 , Fe 2þ , and Zn 2þ . Levels of parameters pH, EC, COD Mn , BOD 5 , NH þ 4 , SO 2À 4 , and Cl À in dry season are much higher than those in wet season. In dry season the variations of river water quality are mainly influenced by domestic sewage, industrial effluents, and salt water intrusion. While in wet season, except the aforementioned pollution sources, drainages from cultivated land and livestock farm are also the main factors influencing water pollution. Thus, water quality management measures are proposed in dry and wet seasons, respectively. The results obtained from this study would further facilitate water quality protection and water resources management in the PRD.

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“…The major part of the P loading in receiving waters after harvesting activities was derived from the P movement from the topsoil to the stream during overland flow events (McDowell and Wilcock, 2004;Monaghan et al, 2007). Shigaki et al (2006) and Quinton et al (2001) found that high rainfall intensity resulted in a greater degree and depth of interaction between runoff and surface soil, including high runoff DRP concentrations, compared to what occurs during low rainfall intensities. The P concentrations were also affected by antecedent weather conditions.…”

Section: Effect Of Storm Flow Eventsmentioning

confidence: 99%

Assessment and Mitigation of Nutrients Losses from Forest Harvesting on Upland Blanket Peat - A Case Study in the Burrishoole Catchment

Xiao¹,

Rodgers²,

O'Driscoll³

et al. 2012

New Advances and Contributions to Forestry Research

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Rainfall intensity and phosphorus source effects on phosphorus transport in surface runoff from soil trays

Cited by 143 publications

References 28 publications

Factors controlling phosphorus export from agricultural/forest and residential systems to rivers in eastern China, 1980–2011

Factors controlling phosphorus export from agricultural/forest and residential systems to rivers in eastern China, 1980–2011

Water Quality Management Based on Division of Dry and Wet Seasons in Pearl River Delta, China

Assessment and Mitigation of Nutrients Losses from Forest Harvesting on Upland Blanket Peat - A Case Study in the Burrishoole Catchment

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