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Multi-pollutant assessment of river pollution from livestock production worldwide
- Source :
- Water Research 209 (2022), Water Research, 209
- Publication Year :
- 2022
-
Abstract
- Livestock production is often a source of multiple pollutants in rivers. However, current assessments of water pollution seldomly take a multi-pollutant perspective, while this is essential for improving water quality. This study quantifies inputs of multiple pollutants to rivers from livestock production worldwide, by animal types and spatially explicit. We focus on nitrogen (N), phosphorus (P), and Cryptosporidium (pathogen). We developed the MARINA-Global-L (Model to Assess River Inputs of pollutaNts to seAs for Livetsock) model for 10,226 sub-basins and eleven livestock species. Global inputs to land from livestock are around 94 Tg N, 19 Tg P, and 2.9 × 1021 oocysts from Cryptosporidium in 2010. Over 57% of these amounts are from grazed animals. Asia, South America, and Africa account for over 68% of these amounts on land. The inputs to rivers are around 22 Tg Total Dissolved Nitrogen (TDN), 1.8 Tg Total Dissolved P (TDP), and 1.3 × 1021 oocysts in 2010. Cattle, pigs, and chickens are responsible for 74-88% of these pollutants in rivers. One-fourth of the global sub-basins can be considered pollution hotspots and contribute 71-95% to the TDN, TDP, and oocysts in rivers. Our study could contribute to effective manure management for individual livestock species in sub-basins to reduce multiple pollutants in rivers.
- Subjects :
- Pollution
Manure management
Environmental Engineering
media_common.quotation_subject
chemistry.chemical_element
Cryptosporidium
Water pollution
Waste Management and Disposal
Water Science and Technology
Civil and Structural Engineering
media_common
Pollutant
Marina-global-l model
WIMEK
biology
business.industry
Ecological Modeling
Phosphorus
Nutrients
biology.organism_classification
Sub-basin
Livestock production
chemistry
hotspots
Environmental science
Livestock
Water Systems and Global Change
Water quality
business
Water resource management
Subjects
Details
- Language :
- English
- ISSN :
- 00431354
- Database :
- OpenAIRE
- Journal :
- Water Research 209 (2022), Water Research, 209
- Accession number :
- edsair.doi.dedup.....2d781ef03c1ef32aa9802a088b3e8c01