A method to study antibiotic emission and fate for data-scarce rural catchments
Estimations of antibiotic emission and fate and thereby ecological risk in rural catchments still lack feasible methods due to data scarcity. This study developed a new framework to evaluate the emission and fate of typical antibiotics for data-scarce catchments with uncertainty analysis. We estimat...
Main Authors: | Qiuwen Chen, Jianwei Dong, Tao Zhang, Qitao Yi, Jianyun Zhang, Liuming Hu |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2019-06-01
|
Series: | Environment International |
Online Access: | http://www.sciencedirect.com/science/article/pii/S016041201833054X |
Similar Items
-
RAINFALL RUNOFF MODELING FOR CATCHMENTS HAVING LOW QUALITY SCARCE DATA
by: Ghumman A. R., et al.
Published: (2021-05-01) -
Sensitivity Analysis of the Rainfall–Runoff Modeling Parameters in Data-Scarce Urban Catchment
by: Héctor A. Ballinas-González, et al.
Published: (2020-10-01) -
Impacts of Data Quantity and Quality on Model Calibration: Implications for Model Parameterization in Data-Scarce Catchments
by: Yingchun Huang, et al.
Published: (2020-08-01) -
Investigating the influences of climate change on drought in a small data-scarce river catchment
by: Frank Joseph Wambura
Published: (2023-09-01) -
Analysis of Agricultural Drought Using Remotely Sensed Evapotranspiration in a Data-Scarce Catchment
by: Frank Joseph Wambura, et al.
Published: (2020-04-01)