Literature DB >> 25098900

Linking phosphorus export and hydrologic modeling: a case study in Central Italy.

Andrea Petroselli1, Antonio Leone, Maria Nicolina Ripa, Fabio Recanatesi.   

Abstract

Soil erosion is an open topic, not only because soil fertility is lost, but also because nutrients are spilled into water bodies, thereby causing pollution. Research carried out in this field has amply described this process, but the interaction between these factors is complex and experimental research is needed to understand the production of loads of nutrients for different land uses. This paper describes a long-term monitoring case study using high-resolution rainfall data and runoff samples, carried out in the Lake Vico basin (Central Italy) to determine the phosphorus (P) export during erosive rainfall events. State of the art GIS-based basin characterization and advanced rainfall-runoff models are employed in order to describe the relationship between nutrient export and rainfall or runoff time distribution. Results show that the phosphorus export is strongly related to such time distributions, and less to the cumulative amount of rainfall or runoff.

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Year:  2014        PMID: 25098900     DOI: 10.1007/s10661-014-3972-6

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  8 in total

1.  Assessing site vulnerability to phosphorus loss in an agricultural watershed.

Authors:  A N Sharpley; R W McDowell; J L Weld; P J Kleinman
Journal:  J Environ Qual       Date:  2001 Nov-Dec       Impact factor: 2.751

2.  Modelling diffuse nutrient flow in eutrophication control scenarios.

Authors:  B Arheimer; L Andersson; M Larsson; G Lindström; J Olsson; B C Pers
Journal:  Water Sci Technol       Date:  2004       Impact factor: 1.915

3.  Load estimation and source apportionment of nonpoint source nitrogen and phosphorus based on integrated application of SLURP model, ECM, and RUSLE: a case study in the Jinjiang River, China.

Authors:  Haiyang Chen; Yanguo Teng; Jinsheng Wang
Journal:  Environ Monit Assess       Date:  2012-05-29       Impact factor: 2.513

4.  Exploring the relationship between hydrologic parameters and nutrient loads using digital elevation model and GIS - a case study from Sugarcreek headwaters, Ohio, U.S.A.

Authors:  V Krishna Prasad; Ariel Ortiz; Ben Stinner; David McCartney; Jason Parker; Deana Hudgins; Casey Hoy; Richard Moore
Journal:  Environ Monit Assess       Date:  2005-11       Impact factor: 2.513

5.  Land use, climate and transport of nutrients: evidence emerging from the Lake Vico Case Study [corrected].

Authors:  F Recanatesi; M N Ripa; A Leone; Luigi Perini; Perini Luigi; Luca Salvati; Salvati Luca
Journal:  Environ Manage       Date:  2013-05-17       Impact factor: 3.266

6.  Agricultural nitrate monitoring in a lake basin in Central Italy: a further step ahead towards an integrated nutrient management aimed at controlling water pollution.

Authors:  Monica Garnier; Fabio Recanatesi; Maria Nicoletta Ripa; Antonio Leone
Journal:  Environ Monit Assess       Date:  2009-11-13       Impact factor: 2.513

7.  Phosphorus loss from an agricultural watershed as a function of storm size.

Authors:  Andrew N Sharpley; Peter J A Kleinman; A Louise Heathwaite; William J Gburek; Gordon J Folmar; John P Schmidt
Journal:  J Environ Qual       Date:  2008-02-11       Impact factor: 2.751

8.  Agricultural land use and best management practices to control nonpoint water pollution.

Authors:  Maria Nicoletta Ripa; Antonio Leone; Monica Garnier; Antonio Lo Porto
Journal:  Environ Manage       Date:  2006-08       Impact factor: 3.644

  8 in total
  2 in total

1.  Cape Fear: monitoring basic hydrological processes in an outdoor hillslope plot.

Authors:  Andrea Petroselli; Flavia Tauro
Journal:  Environ Monit Assess       Date:  2017-02-28       Impact factor: 2.513

2.  Investigating runoff formation dynamics: field observations at Cape Fear experimental plot.

Authors:  Andrea Petroselli; Flavia Tauro; Salvatore Grimaldi
Journal:  Environ Monit Assess       Date:  2019-10-08       Impact factor: 2.513

  2 in total

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