A new methodology to identify surface water bodies at risk by using pesticide monitoring data: The glyphosate case study in Lombardy Region (Italy)

2018 ◽  
Vol 610-611 ◽  
pp. 421-429 ◽  
Author(s):  
Andrea Di Guardo ◽  
Antonio Finizio
Keyword(s):  
At Risk ◽  
Surface Water ◽  
Water Bodies ◽  
Monitoring Data ◽  
Lombardy Region ◽  
Pesticide Monitoring ◽  
Surface Water Bodies

scholarly journals Short communication: Quantitative spatial analysis of randomly situated surface water bodies through f-αspectra

2001 ◽  
Vol 6 (3) ◽  
pp. 213-217 ◽  
Author(s):  
B. S. Daya Sagar
Keyword(s):  
Spatial Distribution ◽  
Surface Water ◽  
Short Communication ◽  
Probability Distributions ◽  
Water Bodies ◽  
Spatial Organisation ◽  
Data Set ◽  
Surface Water Bodies ◽  
Quantitative Spatial Analysis

A notable similarity is observed between the probability distributions obtained from a data set that contains a large number of randomly situated surface water bodies and the probability distributions estimated by binomial multiplicative process. From these well conformed probability distributions, the generalised information dimensions have been computed through f-αspectra to characterise and quantify the spatial organisation of the surface water bodies. It is noticed from the investigated case study that the results tend to vary by changing the direction of bisecting process. The experimental results on spatial distribution of surface water bodies of the study area qualify that the computed generalised information dimensions for the vertical bisecting is rather uniform than that of the horizontal bisecting process.

Inferring the interconnections between surface water bodies, tile-drains and an unconfined aquifer–aquitard system: A case study

2016 ◽  
Vol 537 ◽  
pp. 86-95 ◽  
Author(s):  
N. Colombani ◽  
D. Di Giuseppe ◽  
B. Faccini ◽  
G. Ferretti ◽  
M. Mastrocicco ◽  
...  
Keyword(s):  
Surface Water ◽  
Unconfined Aquifer ◽  
Water Bodies ◽  
System A ◽  
Tile Drains ◽  
Surface Water Bodies

scholarly journals Risk Assessment of Heavy Metal Hotspots in Surface Water Bodies: A Case Study of Zanjan Province, Iran

2019 ◽  
Vol 8 (3) ◽  
pp. 202-214
Author(s):  
Mohammad Rafiee ◽  
Mahsa Jahangiri-rad ◽  
◽  
Keyword(s):  
Risk Assessment ◽  
Heavy Metal ◽  
Surface Water ◽  
Water Bodies ◽  
Surface Water Bodies

scholarly journals How to Implement User-Friendly BLMs in the Absence of DOC Monitoring Data: A Case Study on Bulgarian Surface Waters

Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 246
Author(s):  
Tony Venelinov ◽  
Stefan Tsakovski
Keyword(s):  
Surface Water ◽  
Surface Waters ◽  
Historical Data ◽  
Monitoring Network ◽  
Water Bodies ◽  
Monitoring Networks ◽  
Biotic Ligand ◽  
Surface Water Bodies ◽  
User Friendly

The metal bioavailability concept is implemented in the Water Framework Directive (WFD) compliance assessment. The bioavailability assessment is usually performed by the application of user-friendly Biotic Ligand Models (BLMs), which require dissolved metal concentrations to be used with the “matching” data of the supporting physicochemical parameters of dissolved organic carbon (DOC), pH and Cadissolved. Many national surface water monitoring networks do not have sufficient matching data records, especially for DOC. In this study, different approaches for dealing with the missing DOC data are presented: substitution using historical data; the appropriate percentile of DOC concentrations; and combinations of the two. The applicability of the three following proposed substitution approaches is verified by comparison with the available matching data: (i) calculations from available TOC data; (ii) the 25th percentile of the joint Bulgarian monitoring network DOC data (measured and calculated by TOC); and (iii) the 25th percentile of the calculated DOC from the matching TOC data for the investigated surface water body (SWB). The application of user-friendly BLMs (BIO-MET, M-BAT and PNEC Pro) to 13 surface water bodies (3 reservoirs and 10 rivers) in the Bulgarian surface waters monitoring network outlines that the suitability of the substitution approaches decreases in order: DOC calculated by TOC > the use of the 25th percentile of the data for respective SWB > the use of the 25th percentile of the Bulgarian monitoring network data. Additionally, BIO-MET is the most appropriate tool for the bioavailability assessment of Cu, Zn and Pb in Bulgarian surface water bodies.

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