the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 18 May 2022
Modelling floating riverine litter in the south-eastern Bay of Biscay: a regional distribution from a seasonal perspective
Abstract. Although rivers contribute to the flux of litter to the coastal and marine environment, estimates of riverine litter amounts are scarce and the behaviour of riverine litter at river mouths and coastal waters is highly uncertain. This paper provides a comprehensive overview of the seasonal trends of floating riverine litter transport and fate in the south-eastern Bay of Biscay based on riverine litter characterization, drifters and high-frequency radars observations and Lagrangian simulations. Virtual particles were released close to the river mouths as a proxy of litter entering the ocean from rivers and were parameterized with a wind drag coefficient (Cd) to represent their trajectories and fate according to the buoyancy of the litter items. They were forced with numerical winds and measured currents provided by high-frequency radars covering selected seasonal week-long periods between 2009 and 2021. To gain a better insight on the type and buoyancy of the items, samples collected from a barrier placed at Deba river (Spain) were characterized at laboratory. Items were grouped into two categories: low buoyant items (objects not exposed to wind forcing e.g., plastic bags) and highly buoyant items (objects highly exposed to wind forcing, e.g., bottles). Overall, low buoyant items encompassed almost 90 % by number and 68 % by weight. Low buoyant items were parametrized with Cd=0 %, and highly buoyant items with Cd=4 %, this later one as a result of the joint analysis of modelled and observed trajectories of four satellite drifting buoys released at Adour (France), Deba (Spain) and Oria (Spain) river mouths. Results show that all regions in the study area are highly affected by rivers within or nearby the region itself. Simulations of riverine litter parametrized with Cd=4 % showed that particles drifted faster towards the coast by the wind, notably during the first 24 hours. In summer, over the 97 % of particles beached after one week of simulation. In autumn this value fell to 54 %. In contrast, the low buoyant litter items take longer to arrive to the coastline, particularly during Spring with fewer than 25 % of particles beached by the end of the simulations. When comparing coastline concentrations, the highest concentrations of particles (>200 particles/km) were recorded during summer in the French region of Pyrénées-Atlantiques for Cd=4 %. These results coupled observations and a river-by-river modelling approach and can assist policy and decision makers on setting emergency responses to high fluxes of riverine litter arrivals and on defining future monitoring strategies for heavy polluted regions within the study area.
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RC1: 'Comment on egusphere-2022-316', Anonymous Referee #1, 07 Jun 2022
Review of the manuscript “Modelling floating riverine litter in the south-eastern Bay of Biscay: a regional distribution from a seasonal perspective” by Irene Ruiz et al.
In this work the authors analyze the results of three different experiments aiming at characterizing the riverine input of marine litter (ML) in the SE Bay of Biscay. The first experiment is the characterization of the ML in the Deba river by using a barrier (net) that collected ML dragged by the river flow. Weekly samples were collected along a three-month period and the ML was classified and described. The second experiment is the deployment of four low cost lagrangian buoys in the mouth of four different rivers in order to analyzed their trajectories using the TESEO lagrangian model. The model use HF radar currents and reanalysis (ERA5) wind data to compute lagrangian trajectories. This analysis is used to calibrate the wind drag coefficient (Cd) in the model. Finally, the third is a numerical experiment aiming at simulate the fate of neutral lagrangian particles deployed in the mouth of eight different rivers along the Basque and French coasts. Weekly simulations (40, 10 per season) were carried out, starting with similar initial concentration of ML particles in the mouth of the rivers, for two different types of particles: highly buoyant, with a Cd = 4% hence affected by the wind drag, and low buoyant, with Cd=0% and not affected by wind. The results of the simulations are used to describe the distribution of the ML particles after a week, their beaching locations and time, the sub-regions that import/export ML and the seasonality of these distributions.
In my opinion the work carried out by the authors is remarkable. They combine observational and numerical experiments, trying to provide an analysis as wider as possible of the characteristics and fate of the riverine ML in the studied region. Their results are relevant, and a step forward in the complex task of the numerical analysis of ML dispersion. However, there are many aspects of the manuscript, both formal and regarding the methodology and analysis, that need to be improved. For this reason, I recommend a major revision before its publication in Ocean Science.
General comments:
Regarding the manuscript writing, a deep revision is needed. There are many sentences that are incorrect or difficult to understand. Please try to avoid very long sentences containing a lot of information. It is sometimes very complicated to understand what you are trying to point out. The vocabulary and punctuation should also be revised.
About the methodology, the description of the lagrangian model should be extended, particularly describing how does the model simulate the particles beaching. This is crucial to make a proper interpretation of the results. Also, the limitations of the model and the simulations set-up should be included in this section (instead of only the discussion). This way the reader can make a better interpretation of the results.
In the results/discussion sections, you find very interesting results but a deeper analysis of some of these results and more contextualization is missing.
Specific comments:
1. INTRODUCTION
Lines 42-43: what do you mean with “less than a tenth”? With respect to the values given by MPW models? It is unclear what you mean here. Please rephrase.
Lines 45-48: This sentence is too long and difficult to understand.
Line 50: what do you mean by “river waters”? If you mean that the ML remains close to the river mouth you should use this term (“river mouth”).
Line 59: What do you mean by “mature”?
Line 79: delete extra “the”
Line 90: I don’t fully understand why you differentiate throughout the text riverine and floating litter. Once the litter is in the sea is all marine litter. Moreover, you only simulate the ML at sea, so for your simulation experiment everything is marine little. This distinction along the text is often confusing.
Lines 94-95: “…parameterized to represent riverine litter trajectories according to their observed buoyancy.” à This is not completely true. In your numerical experiment you don't use the observations to characterize the ML particles simulated. You only made a distinction between high and low buoyant particles. But the number of particles released on each simulation is always the same and with similar characteristics.
Line 100: You could include here a short description of the paper sections.
2. STUDY AREA
Line 113: what do you mean by “self-water masses”?
Lines 115-116: “…Tidal currents in the area are quite week constrained by topography and width on the continental shelf…” à “…Tidal currents in the area are quite week, constrained by topography to the continental shelf…”.
Lines 118-120: This sentence is too long. Rephrase please.
Line 121: Achieving à reaching
Line 127: Very strange to cite a figure from other paper. Include the figure number please.
Lines 129-136: Here you have to be more specific in the description of the results you are citing. Most of these studies are based on Lagrangian simulation of ML particles, many of them using numerical models for the current fields, others using HF radar data. Some of them include windage, with different parameterizations, others don’t, etc… You should specify the details of the estimations you are citing and also try to avoid the word “observed”, since these results are mostly based on simulations. I would also include here a short summary of the most important sources of uncertainty found by the authors in their different approaches. I think is important to contextualize the results of the study and the limitations of the state-of-the-art ML modelling.
3. METHODS AND DATA
3.2 DRIFTER OBSERVATIONS
Lines 163-164: This is very interesting. Could you provide a little more information about the batteries and its duration? According to the table some of the buoys worked only for a few days and others for more than 2 weeks. Why this difference? Did you recovered the buoys or were lost?
3.3 HF RADAR CURRENT OBSERVATIONS AND WIND DATA
Lines 179-180: This sentence is too long. Rephrase please.
Line 184: The resolution is 30 km or 0.3ºx0.3º. Both are similar but not exactly the same. Giving two different values is confusing.
Lines 185-186: the weekly periods are first mentioned here. Either described them or indicate the section/table where you describe them below.
3.5 PARTICLE TRANSPORT MODEL
Here a much more detailed description of the lagrangian model is missing. This is crucial to understand the accuracy of the results. Some of the missing information is:
How does the model solve the movement of the water parcels?
Does it include horizontal diffusion? If so, how it is implemented? Random walk? I understand from table 2 that turbulent diffusion is included, but not explained.
Since the resolution of the HF radar and the wind data are different, I understand that the wind data is interpolated to the HF radar grid, am I right?
How is the wind drag coefficient implemented in the movement equations?
How do you define when a particle is beached? Does the Lagrangian model includes a beaching algorithm? How does it work? This is particularly important since some of your more relevant results are related to the beaching process. A detailed description of how does the model considers a particle beached is crucial to understand your results.
3.5.2 LAGRANGIAN SEASONAL SIMULATION OF RIVERINE LITTER ITEMS
Line 224: Please indicate the total number of simulations (40, if I’m not wrong).
Lines 228-227: This is another key issue that you should underline and also take into account in the discussion section when comparing the results with previous works and observations. You are releasing the ML particles 2.5 miles from the coast. As the authors know for sure, there are numerous coastal processes that traps the ML in coastal areas, especially if the wind drag is taken into account. Therefore, your results are only valid for the fraction of ML coming from the rivers that leaves the coastal area and reaches open sea.
In addition, you are not making any difference between rivers or seasons. You are considering that all the rivers have the same ML input, and that this input is constant along the whole year. Therefore, the spatial distribution and seasonality that you obtain only depends on the river mouth position and the variability of the HF radar current field and the ERA5 wind field.
In summary, you are considering the 8 rivers as constant ML input sources on open sea. I think that it is important to state very clearly these assumptions, and the limitations that imply, in order to make a proper interpretation of your results.
In section 5.3 and 5.4 you address some of these issues, but in my opinion is important to clarify them here, before presenting the results. This way the reader is aware of the model/simulations limitation and can make a better interpretation.
4. RESULTS
4.1 RIVERINE LITTER CHARACTERIZATION
I think these results are very interesting. There is a lack of information on the ML sources in general, and on rivers in particular. This kind of experiments are very useful to start filling these knowledge gaps.
4.2 WIND DRAFT COEFFICIENT FOR DRIFTING BUOYS
Lines 259-260: I don't understand what you mean by "spread out over the rivers inside the HF radar coverage area". Please clarify this sentence.
4.3 SEASONAL TRENDS ON FLOATING RIVERINE LITTER TRANSPORT AND FATE
Lines 277-278: Very interesting result, but depends on the beaching parameterization.
Line 281: Which specific characteristics of the forcing are you considering in this assumption? In my opinion, there are quite different behaviors of the particles depending on the location of the river mouths. For instance, in the Urumea river almost all particles with Cd = 0% remain in the water after the week period, while for the Deba river the reduction of particles is much higher (~200 less on water). Also, there is a clear seasonality, rivers that “lost” more particles in summer and winter are different. A deeper and clearer analysis of this results is missing.
Line 281-283: “When… … simulations”. This sentence is too long and a bit confusing. Please rephrase to be more clear.
Lines 283-286: There is a clear seasonal variability in the beaching regions, particularly for particles not affected by winds. This variability can be only linked to the current field variability. You could mention this here or in the discussion section.
In general, a little more detail in the analysis of figures 9 and 10 is missing. I think they represent very relevant results of the study and a more thorough description would be adequate.
Figure 9: it is very difficult to distinguish the lines corresponding to each river. Please choose clearly different colors for each one.
Figure 10: This figure is very interesting and informative. Please indicate in the figure the region to which each river belongs. Also, I think that if you put Bizkaia above Gipuzkoa, so the regions are ordered counter-clockwise (from W to NE), it would be easier to understand the particles transfers from one region to another.
5. DISCUSSION
5.1 RIVERINE LITTER COMPOSITION
Lines 309-310: I don’t understand the meaning of this first sentence, please rephrase it.
Lines 323-324: If you find higher percentage of large pieces (2.5-50 cm) of polystyrene, doesn't it mean that the degradation is lower (not higher) than in the Black Sea or the Mediterranean?
The size of the sampling net grid is 6 cm. Meaning that items smaller than this size will pass through the net. That is probably why you find so few bottle caps or cigarette butts, which are very common. Do you have any estimation of the amount of items between 2.5 a 6 cm that you could have missed (maybe observations at sea near the Deba’s mouth)?
5.2 WIND DRAG ESTIMATION
As a suggestion, many of the considerations about the suitability and accuracy of the low cost drifters would be more useful in the methodology section.
I miss a comparison with previous studies on wind drag coefficient for Marine Litter, rather than using results for oil spill or algae. For instance, the work of Pereiro et al (2018) and references therein (https://doi.org/10.1080/1755876X.2018.1470892). Critchell et al. (2015) (https://doi.org/10.1016/j.ecss.2015.10.018) or Critchell and Lambrechts (2016) (https://doi.org/10.1016/j.ecss.2016.01.036).
5.3 SEASONAL RIVERINE LITTER DISTRIBUTION BY REGION
Line 371: delete “but”.
Lines 378-380: the last sentence is too long, please consider rephrasing.
5.4 RIVERS AS KEY VECTORS OF RIVERINE LITTER
Lines 384-385: Indeed, what you are showing in this study is the impact of the river mouths as a constant source of ML in the ocean. All the variability described depends only on the HF radar current filed and the ERA5 wind filed (for those particles affectted by wind).
Lines 387-388: I think in your case the socio-economic factors are quite homogeneous in your area of study.
Line 394: What do you mean by "dominant number of rivers"
5.5 MODEL LIMITATIONS
This is key in the processes that you are describing along the whole paper. I would put this whole section in the introduction or the methodology section. Together with a detailed explanation on how your model simulate the beaching process.
In this section I would include an estimation (or at least a description) of the uncertainty specifically related with your model.
As I mentioned in my comments for section 3.5.2, the model and simulations set-up limitations that are previously known could be included in that section for clarity (also for the beaching algorithm). Here I would comment the impact of those limitations on the results.
5.6 RIVERINE LITTER COLLECTION AND MONITORING BY A FLOATING BARRIER
This is very interesting but I don't see how is related with the results of your study. I suggest to summarize and include it in the introduction section or to clearly point out the relation with your results.
6. CONCLUSIONS
Lines 441-443: Actually, since you don't use real data of the amount of ML transported by the rivers, you are not analyzing the input of inland ML, you are estimating the fate of the ML once it reaches open sea.
Lines 448-449: This comparison should be made with other works estimating wind drag coefficient. In the literature this coefficient ranges between 2-1.5%, so in the range of your estimation. This should be further discussed.
Line 449-451: “The developed… …Type of items” à This is a very interesting result. Congratulations.
Finally, I wonder why the authors didn’t combine the information obtained in the sampling of the Deba river with the numerical results. You estimate that around 68% of the riverine litter collected were low buoyancy items, while the rest 32% were high buoyancy items. Even if you keep the same number of particles in your simulations for both type of items, you could give an estimation based on the observations of the fraction of each type expected to reach the coast. For instance, according to figure 8, in winter 95% of high buoyant particles reach the beach, while for the low buoyant only 25% are beached. This mean that if both type of particles are considered (keeping the fractions observed in the Deba), only 47% of the particles would reach the beaches, 30% would be high buoyant and 17% low buoyant.
Of course, the fractions of the different types of ML observed in the river and the open sea would surely be very different. But as a first approach I think it would be interesting to show these results. Also, I think it would be one of very few (if not the only one) paper combining riverine litter observations and modeling, even with all the limitations previously commented.
Citation: https://doi.org/10.5194/egusphere-2022-316-RC1 -
AC1: 'Reply on RC1', Irene Ruiz, 23 Sep 2022
We would like to thank the Reviewer#1 for the careful and thorough reading and for the thoughtful comments and constructive suggestions, which help to improve the quality of this manuscript. Our responses follow a point-by-point manner in the attached file (the authors' responses are in blue).
We hope that the revised version is now suitable for publication and look forward to hearing from you in due course.
Sincerely,
Irene Ruiz, Anna Rubio, Ana J. Abascal and Oihane C. Basurko
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AC1: 'Reply on RC1', Irene Ruiz, 23 Sep 2022
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RC2: 'Comment on egusphere-2022-316', Anonymous Referee #2, 11 Jul 2022
Review of „Modelling floating riverine litter in the south-eastern Bay of Biscay: a regional distribution from a seasonal perspective“, by Irene Ruiz et al.
Summary and scientific relevance:
This manuscript aims to investigate the seasonal trends of floating litter from riverine sources in the southeastern Bay of Biscay. Data from surface drifters were used in addition to virtual Lagrangian particles to determine the pathways of floating litter from riverine sources into the Bay of Biscay. The simulated particles were forced with high-frequency radar-measured currents and simulated wind fields. In addition, trajectories from four surface drifters were used to parameterize the wind drag coefficient of the particle tracking model.
Furthermore, the authors characterized riverine litter output by collecting litter with a transport barrier in the Deba river to gain insight into the typical types of litter and the buoyancy of items released from the rivers into the marine environment.
The scientific relevance of the present study is very high. There is still a significant deficit in understanding the dynamics affecting litter transport from the estuarine environments to the marine environment. Moreover, improved beaching parameterizations for numerical models are of great importance for accurate predictions of marine litter dispersal.
However, there are some concerns about the overall structure, language, and analytical methods before the manuscript can be published in Ocean Science Discussions. Therefore, I recommend a thorough revision by the authors.
General comments:
The manuscript needs comprehensive language editing. There are a lot of spelling mistakes and many sentences are unclear to me. A thorough language editing for the manuscript is necessary to publish this study in Ocean Science.
Introduction:
The Introduction should be shortened. There are reiterative sentences and sections which are disconnected. Furthermore, technical details of the radar data should be moved to the methods section. References to webpages should be deleted as they just load the text.
Windage:
The method used to calculate the wind slip of the particles is questionable. The referenced numerical studies do not simply add different windage values and estimate the distance of the trajectories. Please go more in-depth here and use an appropriate method to compare your numerical trajectories with those of the drifters.
Furthermore, as I understand it correctly, the particles were re-initialized every 4 hours on the drifter trajectories. This may neglect submesoscale processes that significantly affect the dispersion and distribution of floating objects in the ocean. The effects of tides may be underestimated, which of course, also play an essential role in the propagation and dispersion of particles in the Bay of Biscay. Please strengthen the study in this regard.
HF radar current observations and wind data:
The methodology of how the HF data is extracted and assimilated with the wind observations is, in my view, unclearly described. How are these data products incorporated on a uniform grid for further analysis? In addition, lines 178-180 indicate that the data extraction is questionable. Please clarify precisely how you extracted the data and what criteria were used for the quality check.
Particle transport model:
This paragraph does not describe the particle tracking module. The information given here is repetitive and only explains what the intent is for the particle simulations. Please describe exactly which way particle tracking was used. Are concepts for horizontal diffusion included and what scheme is used to move the particles forward in the module? It is not sufficient to cite studies that have used the same particle tracking module.
Discussion:
The various sections of the discussion seem very disconnected to me. I encourage the authors to streamline the discussion and bring together the multiple aspects of the study. Please try to connect the different aspects of the study (litter distribution, particle tracking and windage) in a better way in the discussion.
Regarding the limitations of the model, there are some other problems besides the points raised by the authors. For me, some points remain very unclear. How are the data sets for currents and wind assimilated? What effect does diffusivity have on the pathways of particles in the model or on litter or drifters in the ocean? Does a 4-hour reinitialization of particles suppress tidal effects? All of these questions should be carefully discussed and considered. This is especially important for coastal areas where complex submesoscale processes, fronts, and strong tidal currents become important for particle transport. In addition, Stokes drift is significant for transporting floating objects in the ocean. This should also be discussed in this section.
Specific comments:
- I do not want to make remarks about linguistic and spelling mistakes. There are some significant spelling errors such as "week" instead of "weak" or "self-currents," which probably means "shelf-currents". I encourage the authors to carefully revise the manuscript for language and spelling if they decide to resubmit it.
- Figure 5: The authors mention in the caption “trapezoidal integration” I can’t find this in the methods chapter. Please explain this in-depth in the methods section as well.
- Please use consistent upper- and lower case in subsection headings.
- In line 127, a figure from another publication is cited. This should be avoided.
- Lines 115 and 311 are contradictory.
- Section 5.6 contains a lot of information about visual observations of litter with camera systems. For me, this is not related to the results of this study. If I understand it correctly, the study was conducted as part of the LIFE-LEMA project. This is also mentioned for the first time in this section and it is confusing to mention it here. Why is the camera system data not included in this study if the project also collected this data? I would recommend including the data or not mentioning it in this section.
Citation: https://doi.org/10.5194/egusphere-2022-316-RC2 -
AC2: 'Reply on RC2', Irene Ruiz, 23 Sep 2022
We thank the Reviewer#2 for the in-depth review and the valuable suggestions which helped to greatly improve the manuscript. We have addressed the valuable comments and revised the manuscript accordingly. Our responses follow a point-by-point manner in the attached file (the authors' responses are in blue).
We hope that the revised version is now suitable for publication and look forward to hearing from you in due course.
Sincerely,
Irene Ruiz, Anna Rubio, Ana J. Abascal and Oihane C. Basurko
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2022-316', Anonymous Referee #1, 07 Jun 2022
Review of the manuscript “Modelling floating riverine litter in the south-eastern Bay of Biscay: a regional distribution from a seasonal perspective” by Irene Ruiz et al.
In this work the authors analyze the results of three different experiments aiming at characterizing the riverine input of marine litter (ML) in the SE Bay of Biscay. The first experiment is the characterization of the ML in the Deba river by using a barrier (net) that collected ML dragged by the river flow. Weekly samples were collected along a three-month period and the ML was classified and described. The second experiment is the deployment of four low cost lagrangian buoys in the mouth of four different rivers in order to analyzed their trajectories using the TESEO lagrangian model. The model use HF radar currents and reanalysis (ERA5) wind data to compute lagrangian trajectories. This analysis is used to calibrate the wind drag coefficient (Cd) in the model. Finally, the third is a numerical experiment aiming at simulate the fate of neutral lagrangian particles deployed in the mouth of eight different rivers along the Basque and French coasts. Weekly simulations (40, 10 per season) were carried out, starting with similar initial concentration of ML particles in the mouth of the rivers, for two different types of particles: highly buoyant, with a Cd = 4% hence affected by the wind drag, and low buoyant, with Cd=0% and not affected by wind. The results of the simulations are used to describe the distribution of the ML particles after a week, their beaching locations and time, the sub-regions that import/export ML and the seasonality of these distributions.
In my opinion the work carried out by the authors is remarkable. They combine observational and numerical experiments, trying to provide an analysis as wider as possible of the characteristics and fate of the riverine ML in the studied region. Their results are relevant, and a step forward in the complex task of the numerical analysis of ML dispersion. However, there are many aspects of the manuscript, both formal and regarding the methodology and analysis, that need to be improved. For this reason, I recommend a major revision before its publication in Ocean Science.
General comments:
Regarding the manuscript writing, a deep revision is needed. There are many sentences that are incorrect or difficult to understand. Please try to avoid very long sentences containing a lot of information. It is sometimes very complicated to understand what you are trying to point out. The vocabulary and punctuation should also be revised.
About the methodology, the description of the lagrangian model should be extended, particularly describing how does the model simulate the particles beaching. This is crucial to make a proper interpretation of the results. Also, the limitations of the model and the simulations set-up should be included in this section (instead of only the discussion). This way the reader can make a better interpretation of the results.
In the results/discussion sections, you find very interesting results but a deeper analysis of some of these results and more contextualization is missing.
Specific comments:
1. INTRODUCTION
Lines 42-43: what do you mean with “less than a tenth”? With respect to the values given by MPW models? It is unclear what you mean here. Please rephrase.
Lines 45-48: This sentence is too long and difficult to understand.
Line 50: what do you mean by “river waters”? If you mean that the ML remains close to the river mouth you should use this term (“river mouth”).
Line 59: What do you mean by “mature”?
Line 79: delete extra “the”
Line 90: I don’t fully understand why you differentiate throughout the text riverine and floating litter. Once the litter is in the sea is all marine litter. Moreover, you only simulate the ML at sea, so for your simulation experiment everything is marine little. This distinction along the text is often confusing.
Lines 94-95: “…parameterized to represent riverine litter trajectories according to their observed buoyancy.” à This is not completely true. In your numerical experiment you don't use the observations to characterize the ML particles simulated. You only made a distinction between high and low buoyant particles. But the number of particles released on each simulation is always the same and with similar characteristics.
Line 100: You could include here a short description of the paper sections.
2. STUDY AREA
Line 113: what do you mean by “self-water masses”?
Lines 115-116: “…Tidal currents in the area are quite week constrained by topography and width on the continental shelf…” à “…Tidal currents in the area are quite week, constrained by topography to the continental shelf…”.
Lines 118-120: This sentence is too long. Rephrase please.
Line 121: Achieving à reaching
Line 127: Very strange to cite a figure from other paper. Include the figure number please.
Lines 129-136: Here you have to be more specific in the description of the results you are citing. Most of these studies are based on Lagrangian simulation of ML particles, many of them using numerical models for the current fields, others using HF radar data. Some of them include windage, with different parameterizations, others don’t, etc… You should specify the details of the estimations you are citing and also try to avoid the word “observed”, since these results are mostly based on simulations. I would also include here a short summary of the most important sources of uncertainty found by the authors in their different approaches. I think is important to contextualize the results of the study and the limitations of the state-of-the-art ML modelling.
3. METHODS AND DATA
3.2 DRIFTER OBSERVATIONS
Lines 163-164: This is very interesting. Could you provide a little more information about the batteries and its duration? According to the table some of the buoys worked only for a few days and others for more than 2 weeks. Why this difference? Did you recovered the buoys or were lost?
3.3 HF RADAR CURRENT OBSERVATIONS AND WIND DATA
Lines 179-180: This sentence is too long. Rephrase please.
Line 184: The resolution is 30 km or 0.3ºx0.3º. Both are similar but not exactly the same. Giving two different values is confusing.
Lines 185-186: the weekly periods are first mentioned here. Either described them or indicate the section/table where you describe them below.
3.5 PARTICLE TRANSPORT MODEL
Here a much more detailed description of the lagrangian model is missing. This is crucial to understand the accuracy of the results. Some of the missing information is:
How does the model solve the movement of the water parcels?
Does it include horizontal diffusion? If so, how it is implemented? Random walk? I understand from table 2 that turbulent diffusion is included, but not explained.
Since the resolution of the HF radar and the wind data are different, I understand that the wind data is interpolated to the HF radar grid, am I right?
How is the wind drag coefficient implemented in the movement equations?
How do you define when a particle is beached? Does the Lagrangian model includes a beaching algorithm? How does it work? This is particularly important since some of your more relevant results are related to the beaching process. A detailed description of how does the model considers a particle beached is crucial to understand your results.
3.5.2 LAGRANGIAN SEASONAL SIMULATION OF RIVERINE LITTER ITEMS
Line 224: Please indicate the total number of simulations (40, if I’m not wrong).
Lines 228-227: This is another key issue that you should underline and also take into account in the discussion section when comparing the results with previous works and observations. You are releasing the ML particles 2.5 miles from the coast. As the authors know for sure, there are numerous coastal processes that traps the ML in coastal areas, especially if the wind drag is taken into account. Therefore, your results are only valid for the fraction of ML coming from the rivers that leaves the coastal area and reaches open sea.
In addition, you are not making any difference between rivers or seasons. You are considering that all the rivers have the same ML input, and that this input is constant along the whole year. Therefore, the spatial distribution and seasonality that you obtain only depends on the river mouth position and the variability of the HF radar current field and the ERA5 wind field.
In summary, you are considering the 8 rivers as constant ML input sources on open sea. I think that it is important to state very clearly these assumptions, and the limitations that imply, in order to make a proper interpretation of your results.
In section 5.3 and 5.4 you address some of these issues, but in my opinion is important to clarify them here, before presenting the results. This way the reader is aware of the model/simulations limitation and can make a better interpretation.
4. RESULTS
4.1 RIVERINE LITTER CHARACTERIZATION
I think these results are very interesting. There is a lack of information on the ML sources in general, and on rivers in particular. This kind of experiments are very useful to start filling these knowledge gaps.
4.2 WIND DRAFT COEFFICIENT FOR DRIFTING BUOYS
Lines 259-260: I don't understand what you mean by "spread out over the rivers inside the HF radar coverage area". Please clarify this sentence.
4.3 SEASONAL TRENDS ON FLOATING RIVERINE LITTER TRANSPORT AND FATE
Lines 277-278: Very interesting result, but depends on the beaching parameterization.
Line 281: Which specific characteristics of the forcing are you considering in this assumption? In my opinion, there are quite different behaviors of the particles depending on the location of the river mouths. For instance, in the Urumea river almost all particles with Cd = 0% remain in the water after the week period, while for the Deba river the reduction of particles is much higher (~200 less on water). Also, there is a clear seasonality, rivers that “lost” more particles in summer and winter are different. A deeper and clearer analysis of this results is missing.
Line 281-283: “When… … simulations”. This sentence is too long and a bit confusing. Please rephrase to be more clear.
Lines 283-286: There is a clear seasonal variability in the beaching regions, particularly for particles not affected by winds. This variability can be only linked to the current field variability. You could mention this here or in the discussion section.
In general, a little more detail in the analysis of figures 9 and 10 is missing. I think they represent very relevant results of the study and a more thorough description would be adequate.
Figure 9: it is very difficult to distinguish the lines corresponding to each river. Please choose clearly different colors for each one.
Figure 10: This figure is very interesting and informative. Please indicate in the figure the region to which each river belongs. Also, I think that if you put Bizkaia above Gipuzkoa, so the regions are ordered counter-clockwise (from W to NE), it would be easier to understand the particles transfers from one region to another.
5. DISCUSSION
5.1 RIVERINE LITTER COMPOSITION
Lines 309-310: I don’t understand the meaning of this first sentence, please rephrase it.
Lines 323-324: If you find higher percentage of large pieces (2.5-50 cm) of polystyrene, doesn't it mean that the degradation is lower (not higher) than in the Black Sea or the Mediterranean?
The size of the sampling net grid is 6 cm. Meaning that items smaller than this size will pass through the net. That is probably why you find so few bottle caps or cigarette butts, which are very common. Do you have any estimation of the amount of items between 2.5 a 6 cm that you could have missed (maybe observations at sea near the Deba’s mouth)?
5.2 WIND DRAG ESTIMATION
As a suggestion, many of the considerations about the suitability and accuracy of the low cost drifters would be more useful in the methodology section.
I miss a comparison with previous studies on wind drag coefficient for Marine Litter, rather than using results for oil spill or algae. For instance, the work of Pereiro et al (2018) and references therein (https://doi.org/10.1080/1755876X.2018.1470892). Critchell et al. (2015) (https://doi.org/10.1016/j.ecss.2015.10.018) or Critchell and Lambrechts (2016) (https://doi.org/10.1016/j.ecss.2016.01.036).
5.3 SEASONAL RIVERINE LITTER DISTRIBUTION BY REGION
Line 371: delete “but”.
Lines 378-380: the last sentence is too long, please consider rephrasing.
5.4 RIVERS AS KEY VECTORS OF RIVERINE LITTER
Lines 384-385: Indeed, what you are showing in this study is the impact of the river mouths as a constant source of ML in the ocean. All the variability described depends only on the HF radar current filed and the ERA5 wind filed (for those particles affectted by wind).
Lines 387-388: I think in your case the socio-economic factors are quite homogeneous in your area of study.
Line 394: What do you mean by "dominant number of rivers"
5.5 MODEL LIMITATIONS
This is key in the processes that you are describing along the whole paper. I would put this whole section in the introduction or the methodology section. Together with a detailed explanation on how your model simulate the beaching process.
In this section I would include an estimation (or at least a description) of the uncertainty specifically related with your model.
As I mentioned in my comments for section 3.5.2, the model and simulations set-up limitations that are previously known could be included in that section for clarity (also for the beaching algorithm). Here I would comment the impact of those limitations on the results.
5.6 RIVERINE LITTER COLLECTION AND MONITORING BY A FLOATING BARRIER
This is very interesting but I don't see how is related with the results of your study. I suggest to summarize and include it in the introduction section or to clearly point out the relation with your results.
6. CONCLUSIONS
Lines 441-443: Actually, since you don't use real data of the amount of ML transported by the rivers, you are not analyzing the input of inland ML, you are estimating the fate of the ML once it reaches open sea.
Lines 448-449: This comparison should be made with other works estimating wind drag coefficient. In the literature this coefficient ranges between 2-1.5%, so in the range of your estimation. This should be further discussed.
Line 449-451: “The developed… …Type of items” à This is a very interesting result. Congratulations.
Finally, I wonder why the authors didn’t combine the information obtained in the sampling of the Deba river with the numerical results. You estimate that around 68% of the riverine litter collected were low buoyancy items, while the rest 32% were high buoyancy items. Even if you keep the same number of particles in your simulations for both type of items, you could give an estimation based on the observations of the fraction of each type expected to reach the coast. For instance, according to figure 8, in winter 95% of high buoyant particles reach the beach, while for the low buoyant only 25% are beached. This mean that if both type of particles are considered (keeping the fractions observed in the Deba), only 47% of the particles would reach the beaches, 30% would be high buoyant and 17% low buoyant.
Of course, the fractions of the different types of ML observed in the river and the open sea would surely be very different. But as a first approach I think it would be interesting to show these results. Also, I think it would be one of very few (if not the only one) paper combining riverine litter observations and modeling, even with all the limitations previously commented.
Citation: https://doi.org/10.5194/egusphere-2022-316-RC1 -
AC1: 'Reply on RC1', Irene Ruiz, 23 Sep 2022
We would like to thank the Reviewer#1 for the careful and thorough reading and for the thoughtful comments and constructive suggestions, which help to improve the quality of this manuscript. Our responses follow a point-by-point manner in the attached file (the authors' responses are in blue).
We hope that the revised version is now suitable for publication and look forward to hearing from you in due course.
Sincerely,
Irene Ruiz, Anna Rubio, Ana J. Abascal and Oihane C. Basurko
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AC1: 'Reply on RC1', Irene Ruiz, 23 Sep 2022
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RC2: 'Comment on egusphere-2022-316', Anonymous Referee #2, 11 Jul 2022
Review of „Modelling floating riverine litter in the south-eastern Bay of Biscay: a regional distribution from a seasonal perspective“, by Irene Ruiz et al.
Summary and scientific relevance:
This manuscript aims to investigate the seasonal trends of floating litter from riverine sources in the southeastern Bay of Biscay. Data from surface drifters were used in addition to virtual Lagrangian particles to determine the pathways of floating litter from riverine sources into the Bay of Biscay. The simulated particles were forced with high-frequency radar-measured currents and simulated wind fields. In addition, trajectories from four surface drifters were used to parameterize the wind drag coefficient of the particle tracking model.
Furthermore, the authors characterized riverine litter output by collecting litter with a transport barrier in the Deba river to gain insight into the typical types of litter and the buoyancy of items released from the rivers into the marine environment.
The scientific relevance of the present study is very high. There is still a significant deficit in understanding the dynamics affecting litter transport from the estuarine environments to the marine environment. Moreover, improved beaching parameterizations for numerical models are of great importance for accurate predictions of marine litter dispersal.
However, there are some concerns about the overall structure, language, and analytical methods before the manuscript can be published in Ocean Science Discussions. Therefore, I recommend a thorough revision by the authors.
General comments:
The manuscript needs comprehensive language editing. There are a lot of spelling mistakes and many sentences are unclear to me. A thorough language editing for the manuscript is necessary to publish this study in Ocean Science.
Introduction:
The Introduction should be shortened. There are reiterative sentences and sections which are disconnected. Furthermore, technical details of the radar data should be moved to the methods section. References to webpages should be deleted as they just load the text.
Windage:
The method used to calculate the wind slip of the particles is questionable. The referenced numerical studies do not simply add different windage values and estimate the distance of the trajectories. Please go more in-depth here and use an appropriate method to compare your numerical trajectories with those of the drifters.
Furthermore, as I understand it correctly, the particles were re-initialized every 4 hours on the drifter trajectories. This may neglect submesoscale processes that significantly affect the dispersion and distribution of floating objects in the ocean. The effects of tides may be underestimated, which of course, also play an essential role in the propagation and dispersion of particles in the Bay of Biscay. Please strengthen the study in this regard.
HF radar current observations and wind data:
The methodology of how the HF data is extracted and assimilated with the wind observations is, in my view, unclearly described. How are these data products incorporated on a uniform grid for further analysis? In addition, lines 178-180 indicate that the data extraction is questionable. Please clarify precisely how you extracted the data and what criteria were used for the quality check.
Particle transport model:
This paragraph does not describe the particle tracking module. The information given here is repetitive and only explains what the intent is for the particle simulations. Please describe exactly which way particle tracking was used. Are concepts for horizontal diffusion included and what scheme is used to move the particles forward in the module? It is not sufficient to cite studies that have used the same particle tracking module.
Discussion:
The various sections of the discussion seem very disconnected to me. I encourage the authors to streamline the discussion and bring together the multiple aspects of the study. Please try to connect the different aspects of the study (litter distribution, particle tracking and windage) in a better way in the discussion.
Regarding the limitations of the model, there are some other problems besides the points raised by the authors. For me, some points remain very unclear. How are the data sets for currents and wind assimilated? What effect does diffusivity have on the pathways of particles in the model or on litter or drifters in the ocean? Does a 4-hour reinitialization of particles suppress tidal effects? All of these questions should be carefully discussed and considered. This is especially important for coastal areas where complex submesoscale processes, fronts, and strong tidal currents become important for particle transport. In addition, Stokes drift is significant for transporting floating objects in the ocean. This should also be discussed in this section.
Specific comments:
- I do not want to make remarks about linguistic and spelling mistakes. There are some significant spelling errors such as "week" instead of "weak" or "self-currents," which probably means "shelf-currents". I encourage the authors to carefully revise the manuscript for language and spelling if they decide to resubmit it.
- Figure 5: The authors mention in the caption “trapezoidal integration” I can’t find this in the methods chapter. Please explain this in-depth in the methods section as well.
- Please use consistent upper- and lower case in subsection headings.
- In line 127, a figure from another publication is cited. This should be avoided.
- Lines 115 and 311 are contradictory.
- Section 5.6 contains a lot of information about visual observations of litter with camera systems. For me, this is not related to the results of this study. If I understand it correctly, the study was conducted as part of the LIFE-LEMA project. This is also mentioned for the first time in this section and it is confusing to mention it here. Why is the camera system data not included in this study if the project also collected this data? I would recommend including the data or not mentioning it in this section.
Citation: https://doi.org/10.5194/egusphere-2022-316-RC2 -
AC2: 'Reply on RC2', Irene Ruiz, 23 Sep 2022
We thank the Reviewer#2 for the in-depth review and the valuable suggestions which helped to greatly improve the manuscript. We have addressed the valuable comments and revised the manuscript accordingly. Our responses follow a point-by-point manner in the attached file (the authors' responses are in blue).
We hope that the revised version is now suitable for publication and look forward to hearing from you in due course.
Sincerely,
Irene Ruiz, Anna Rubio, Ana J. Abascal and Oihane C. Basurko
Peer review completion
Journal article(s) based on this preprint
Video supplement
Lagrangian Simulations_Cd_4%_Summer Irene Ruiz, Anna Rubio, Ana J. Abascal, Oihane C. Basurko https://www.youtube.com/watch?v=VxPazMt2bno&list=PLC297UgG5DWQFzOqP3PtTQnJR53vVeX1D
Lagrangian Simulations_Cd_0%_Summer Irene Ruiz, Anna Rubio, Ana J. Abascal, Oihane C. Basurko https://www.youtube.com/watch?v=ZH2AcnfJUFM&list=PLC297UgG5DWQrcchB-mhZpCkTTLAjSLD0
Lagrangian Simulations_Cd_4%_Spring Irene Ruiz, Anna Rubio, Ana J. Abascal, Oihane C. Basurko https://www.youtube.com/watch?v=7rvhk6CwGG4&list=PLC297UgG5DWQ-Y-kGmOzdDip8y83LC3dd
Lagrangian Simulations_Cd_0%_Winter Irene Ruiz, Anna Rubio, Ana J. Abascal, Oihane C. Basurko https://www.youtube.com/watch?v=yUUcVoc1Mpk&list=PLC297UgG5DWSZgP0lNUpTgL-lfo1Pxtno
Lagrangian Simulations_Cd_4%_Winter Irene Ruiz, Anna Rubio, Ana J. Abascal, Oihane C. Basurko https://www.youtube.com/watch?v=dn_3cMCfxpk&list=PLC297UgG5DWQakXCayikMKoTqrXcePWVo&index=2
Lagrangian Simulations_Cd_0%_Spring Irene Ruiz, Anna Rubio, Ana J. Abascal, Oihane C. Basurko https://www.youtube.com/watch?v=tij0HZXQFYI&list=PLC297UgG5DWQj5h8p_EuQqia-sRpH9PZF
Lagrangian Simulations_Cd_4%_Autumn Irene Ruiz, Anna Rubio, Ana J. Abascal, Oihane C. Basurko https://www.youtube.com/watch?v=K6k9T_mCXOI&list=PLC297UgG5DWTq3EUwRSXg8is9eNDCY00U
Lagrangian Simulations_Cd_0%_Autumn Irene Ruiz, Anna Rubio, Ana J. Abascal, Oihane C. Basurko https://www.youtube.com/watch?v=Z7bsMGgLKU0&list=PLC297UgG5DWTGdFUnMbjrVlnnDYs-iuug
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