Spatio-temporal characteristics and multi-scale risk identification of pollution load based on sensitivity analysis in small watersheds located in Tuojiang River Basin, China-Reference-Cited by-同舟云学术

Spatio-temporal characteristics and multi-scale risk identification of pollution load based on sensitivity analysis in small watersheds located in Tuojiang River Basin, China

Published:2024-08-09 Issue:9 Volume:196 Page:
ISSN:0167-6369
Container-title:Environmental Monitoring and Assessment
language:en
Short-container-title:Environ Monit Assess

Author:

Su Mingyue,Fan Min,Song Tao,Yang Yuankun,Chen Shu,Tu Weiguo,Li Zhuo,Li Sen

Funder

National Natural Science Foundation of China

Sichuan Province Science and Technology Support Program

Sichuan Provincial Science and Technology Support Program

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10661-024-12977-5.pdf

Reference54 articles.

1. Ajibade, F. O., Adelodun, B., Lasisi, K. H., Fadare, O. O., Ajibade, T. F., Nwogwu, N. A., Sulaymon, I. D., Ugya, A. Y., Wang, H. C., & Wang, A. (2021). Chapter 25 - Environmental pollution and their socioeconomic impacts. In A. Kumar, V. K. Singh, P. Singh, & V. K. Mishra (Eds.), Food Science, Technology and Nutrition: Microbe Mediated Remediation of Environmental Contaminants (pp. 321–354). Woodhead Publishing. https://doi.org/10.1016/B978-0-12-821199-1.00025-0

2. Alamdari, N., Claggett, P., Sample, D. J., Easton, Z. M., & NayebYazdi, M. (2022). Evaluating the joint effects of climate and land use change on runoff and pollutant loading in a rapidly developing watershed. Journal of Cleaner Production, 330, 129953. https://doi.org/10.1016/j.jclepro.2021.129953

3. Christopher Frey, H., & Patil, S. R. (2002). Identification and review of sensitivity analysis methods. Risk Analysis, 22(3), 553–578. https://doi.org/10.1111/0272-4332.00039

4. Contreras, E., Aguilar, C., & Polo, M. J. (2023). Accounting for the annual variability when assessing non-point source pollution potential in Mediterranean regulated watersheds. Science of the Total Environment, 902, 167261. https://doi.org/10.1016/j.scitotenv.2023.167261

5. de Oliveira, L. M., Maillard, P., & de Andrade Pinto, E. J. (2017). Application of a land cover pollution index to model non-point pollution sources in a Brazilian watershed. CATENA, 150, 124–132. https://doi.org/10.1016/j.catena.2016.11.015