2018
DOI: 10.3390/ijerph15071464
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Role of Sediments in Insecticide Runoff from Urban Surfaces: Analysis and Modeling

Abstract: Insecticides, such as pyrethroids, have frequently been detected in runoff from urban areas, and their offsite transport can cause aquatic toxicity in urban streams and estuaries. To better understand the wash-off process of pesticide residues in urban runoff, the association of pyrethroids with sediment in runoff from residential surfaces was investigated in two watersheds located in Northern California (Sacramento County). Rainfall, flow rate, and event mean concentrations/loads of sediments and pyrethroids,… Show more

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Cited by 28 publications
(20 citation statements)
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“…It is a difficult and complicated process to know the water quality status of the whole river basin, determine the influencing factors of water quality, and improve the water environment quality of the river basin [26]. To provide a holistic vision of all the variables involved in the system, PCA was used on the Xin'anjiang River [27,28].…”
Section: Principal Component Analysismentioning
confidence: 99%
“…It is a difficult and complicated process to know the water quality status of the whole river basin, determine the influencing factors of water quality, and improve the water environment quality of the river basin [26]. To provide a holistic vision of all the variables involved in the system, PCA was used on the Xin'anjiang River [27,28].…”
Section: Principal Component Analysismentioning
confidence: 99%
“…Once the data points begin to be grouped into clusters, the similarity is computed between the groups as well. Several metrics could be used to calculate it, and the choice of the similarity measure could influence the results [47]. This technique also requires a prior choice of the number of groups (k) that is arbitrary.…”
Section: Cluster Analysis For Watershed Selectionmentioning
confidence: 99%
“…The numerical values for this final stage (regional model calibration) are reported in Table 9. Considering that in the 56 iterations, x 2 and x 3 were varying in the ranges [−1.5, −0.5] and [47,67] respectively, it is worth remarking that the following outcomes correspond to the best values of x 2 = −1.5 and x 3 = 59. Table 9.…”
Section: Cross-validation Of the Regionalization Processmentioning
confidence: 99%
“…Agricultural and urban runoff represent the two most common polluted storm waters that threaten the quality of surface waters [68][69][70][71]. For this reason, many studies have classified stormwater runoff from urban regions as a contribution to non-point source pollution to surface water [72,73]. An example of HSSF CWs used to treat agriculture stormwater runoff was reported by Zhou et al [74].…”
Section: Stormwater Runoffmentioning
confidence: 99%