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Dataset for "Modelling macroplastic fluxes in the Imus catchment: Impacts of long-term accumulation and extreme events" (Clayer et al.)
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| Type: | Resource | |
| Storage: | The size of this resource is 3.3 GB | |
| Created: | Jul 25, 2023 at 7:18 a.m. | |
| Last updated: | Dec 14, 2023 at 2:26 p.m. | |
| DOI: | 10.4211/hs.8697e34af0224f61baebf0478d6e0ee3 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 251 |
| Downloads: | 2 |
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Abstract
This dataset is a part of the manuscript "Modelling macroplastic fluxes in the Imus catchment: Impacts of long-term accumulation and extreme events" by Clayer et al.
The dataset was used with INCA-Macroplastics, a spatiotemporally explicit model for mismanaged plastic mobilization and transport from land to sea from the INtegrated CAtchment (INCA) family. INCA-Macroplastics encompasses all components of the catchment, is driven by available data (weather, population counts, solid waste production rates and composition) and enables calibration and validation against a range of observations (e.g., river monitoring, household surveys). The tool encompasses a litter source module driven by waste generation data as well as weather, land use and population data. It was applied to the Imus River, Cavite, Philippines, estimated to be among the top 50 most polluting rivers in the world. We modelled macroplastic transport, retention and export following two calibrations ("LandAcc" and "RiverAcc") and two emission scenarios ("default" and "Remediation2006", note that "Remediation2006" is referred to as "RA 9003 enforcement" in the manuscript) covering 1990-2020. Model outputs include water discharge, plastic stocks in various catchment and river compartments, as well as plastic exports to sea.
This repository includes 5 compressed folders (*.7z) with data files with outputs of a Monte Carlo sensitivity analyses performed for each calibration ("LandAcc" and "RiverAcc") and plastic emission scenario("default" and "Remediation2006") as described in the folder names. Variable names and units are given in the file names:
- "dates.dat" are the datetime array over 1990-2020
- "Water_Discharge_m3_s.dat" is the water discharge at the river outlet in m3/s. Each column represents a run from the Monte Carlo run (up to 3000 columns) over 1990-2020.
- "Total_Plastics_on_land_Free_and_Buried_Kg.dat" is the total (buried and free) weight of plastic litter on land in kg. Each column represents a run from the Monte Carlo run (up to 3000 columns) over 1990-2020.
- "Buried_Plastics_on_land_Kg.dat" is the weight of buried plastic litter on land in kg. Each column represents a run from the Monte Carlo run (up to 3000 columns) over 1990-2020.
- "Plastics_on_RiverBank_Kg.dat" is the weight of plastic litter on riverbanks in kg. Each column represents a run from the Monte Carlo run (up to 3000 columns) over 1990-2020.
- "Plastics_in_RiverVegetation_Kg.dat" is the weight of plastic litter stuck in river vegetation in kg. Each column represents a run from the Monte Carlo run (up to 3000 columns) over 1990-2020.
- "Plastics_exported_to_Sea_KgPerDay.dat" is the weight of plastic litter exported each day to the sea in kg/day. Each column represents a run from the Monte Carlo run (up to 3000 columns) over 1990-2020.
In addition, there are two excel files with data from the household survey and from monitoring of macroplastic litter in the Imus River.
Subject Keywords
Coverage
Spatial
Temporal
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Content
ReadMe.md
Dataset used in IncaMacroplastics applied to Imus River Catchment
The dataset was used with INCA-Microplastics, a spatiotemporally explicit model for mismanaged plastic mobilization and transport from land to sea from the INtegrated CAtchment (INCA) family. INCA-Macroplastics encompasses all components of the catchment, is driven by available data (weather, population counts, solid waste production rates and composition) and enables calibration and validation against a range of observations (e.g., river monitoring, household surveys). The tool encompasses a litter source module driven by waste generation data as well as weather, land use and population data. It was applied to the Imus River, Cavite, Philippines, estimated to be among the top 50 most polluting rivers in the world. We modelled macroplastic transport, retention and export following two calibrations ("LandAcc" and "RiverAcc") and two emission scenarios ("default" and "Remediation2006", note that "Remediation2006" is referred to as "RA 9003 enforcement" in the manuscript) covering 1990-2020. Model outputs include water discharge, plastic stocks in various catchment and river compartments, as well as plastic exports to sea.
This repository includes 5 compressed folders (*.7z) with data files with outputs of a Monte Carlo sensitivity analyses performed for each calibration ( "LandAcc" and "RiverAcc") and plastic emission scenario("default" and "Remediation2006") as described in the folder names. Variable names and units are given in the file names: - "dates.dat" are the datetime array over 1990-2020 - "Water_Discharge_m3_s.dat" is the water discharge at the river outlet in m3/s. Each column represents a run from the Monte Carlo run (up to 3000 columns) over 1990-2020. - "Total_Plastics_on_land_Free_and_Buried_Kg.dat" is the total (buried and free) weight of plastic litter on land in kg. Each column represents a run from the Monte Carlo run (up to 3000 columns) over 1990-2020. - "Buried_Plastics_on_land_Kg.dat" is the weight of buried plastic litter on land in kg. Each column represents a run from the Monte Carlo run (up to 3000 columns) over 1990-2020. - "Plastics_on_RiverBank_Kg.dat" is the weight of plastic litter on riverbanks in kg. Each column represents a run from the Monte Carlo run (up to 3000 columns) over 1990-2020. - "Plastics_in_RiverVegetation_Kg.dat" is the weight of plastic litter stuck in river vegetation in kg. Each column represents a run from the Monte Carlo run (up to 3000 columns) over 1990-2020. - "Plastics_exported_to_Sea_KgPerDay.dat" is the weight of plastic litter exported each day to the sea in kg/day. Each column represents a run from the Monte Carlo run (up to 3000 columns) over 1990-2020.
In addition, there are two excel files with data from the household survey and from monitoring of macroplastic litter in the Imus River.
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| Norwegian Ministry of Foreign Affairs | RAS-2805-RAS-19/0010 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
|---|---|---|---|---|
| Francois Clayer | Norwegian Institute for Water Research | none, NO |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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