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137 related items for PubMed ID: 36265232
1. New method for scaling nonpoint source pollution by integrating the SWAT model and IHA-based indicators. Chen L, Xu Y, Li S, Wang W, Liu G, Wang M, Shen Z. J Environ Manage; 2023 Jan 01; 325(Pt A):116491. PubMed ID: 36265232 [Abstract] [Full Text] [Related]
2. Differences in nonpoint source pollution load losses based on hydrological zone characteristics: a case study of the Shaying River Basin, China. Li H, Chen S, Ruan X. Environ Sci Pollut Res Int; 2023 Nov 01; 30(54):115950-115964. PubMed ID: 37897581 [Abstract] [Full Text] [Related]
3. Analysis and estimation of nonpoint source pollution under different land use in Anjiagou watershed, Gansu, China. Hu Y, Xing Z, Zhang F, Tian Q, Badreldin N, Zhao J. Environ Sci Pollut Res Int; 2022 Nov 01; 29(51):77428-77447. PubMed ID: 35680749 [Abstract] [Full Text] [Related]
4. Using river sediments to analyze the driving force difference for non-point source pollution dynamics between two scales of watersheds. Ouyang W, Yang W, Tysklind M, Xu Y, Lin C, Gao X, Hao Z. Water Res; 2018 Aug 01; 139():311-320. PubMed ID: 29660620 [Abstract] [Full Text] [Related]
5. Contribution of non-point source pollution that migrated with underground runoff process based on the SWAT model and a digital filter algorithm. Liu R, Wang Y, Miao Y, Li L, Cao L, Wang Y. Environ Sci Pollut Res Int; 2023 Jun 01; 30(26):69683-69696. PubMed ID: 37140859 [Abstract] [Full Text] [Related]
6. Contribution of nonpoint source pollution from baseflow of a typical agriculture-intensive basin in northern China. Guan T, Xue B, A Y, Lai X, Li X, Zhang H, Wang G, Fang Q. Environ Res; 2022 Sep 01; 212(Pt D):113589. PubMed ID: 35661734 [Abstract] [Full Text] [Related]
7. [Influencing factors of non-point source pollution of watershed based on boosted regression tree algorithm.]. Yin C, Liu M, Sun FY, Li CL, Xiang WN. Ying Yong Sheng Tai Xue Bao; 2016 Mar 01; 27(3):911-919. PubMed ID: 29726198 [Abstract] [Full Text] [Related]
8. Cooperative identification for critical periods and critical source areas of nonpoint source pollution in a typical watershed in China. Ruan S, Zhuang Y, Hong S, Zhang L, Wang Z, Tang X, Wen W. Environ Sci Pollut Res Int; 2020 Apr 01; 27(10):10472-10483. PubMed ID: 31939022 [Abstract] [Full Text] [Related]
9. Application of modified export coefficient method on the load estimation of non-point source nitrogen and phosphorus pollution of soil and water loss in semiarid regions. Wu L, Gao JE, Ma XY, Li D. Environ Sci Pollut Res Int; 2015 Jul 01; 22(14):10647-60. PubMed ID: 25752629 [Abstract] [Full Text] [Related]
10. Load estimation and source apportionment of nonpoint source nitrogen and phosphorus based on integrated application of SLURP model, ECM, and RUSLE: a case study in the Jinjiang River, China. Chen H, Teng Y, Wang J. Environ Monit Assess; 2013 Feb 01; 185(2):2009-21. PubMed ID: 22644124 [Abstract] [Full Text] [Related]
11. Simulation of spatial and temporal distributions of non-point source pollution load in the Three Gorges Reservoir Region. Shen Z, Qiu J, Hong Q, Chen L. Sci Total Environ; 2014 Sep 15; 493():138-46. PubMed ID: 24946028 [Abstract] [Full Text] [Related]
12. Applying water environment capacity to assess the non-point source pollution risks in watersheds. Li Y, Wang H, Deng Y, Liang D, Li Y, Gu Q. Water Res; 2023 Jul 15; 240():120092. PubMed ID: 37220697 [Abstract] [Full Text] [Related]
13. Research on optimal control of non-point source pollution: a case study from the Danjiang River basin in China. Li H, Zhou X, Huang K, Hao G, Li J. Environ Sci Pollut Res Int; 2022 Mar 15; 29(11):15582-15602. PubMed ID: 34628618 [Abstract] [Full Text] [Related]
14. [Bivariate statistical model for calculating phosphorus input loads to the river from point and nonpoint sources]. Chen DJ, Sun SY, Jia YN, Chen JB, Lü J. Huan Jing Ke Xue; 2013 Jan 15; 34(1):84-90. PubMed ID: 23487922 [Abstract] [Full Text] [Related]
15. Source apportionment of nitrogen and phosphorus from non-point source pollution in Nansi Lake Basin, China. Zhang BL, Cui BH, Zhang SM, Wu QY, Yao L. Environ Sci Pollut Res Int; 2018 Jul 15; 25(19):19101-19113. PubMed ID: 29725920 [Abstract] [Full Text] [Related]
16. Optimal control of nonpoint source pollution in the Bahe River Basin, Northwest China, based on the SWAT model. Li S, Li J, Xia J, Hao G. Environ Sci Pollut Res Int; 2021 Oct 15; 28(39):55330-55343. PubMed ID: 34132962 [Abstract] [Full Text] [Related]
17. [Output Characteristics of Nitrogen and Phosphorus from Non-Point Source Pollution of Typical Land Use in A Micro-Watershed in Hilly Red Soil Region]. Fang ZD, Su JJ, Zhao HT, Hu L, Li XY. Huan Jing Ke Xue; 2021 Nov 08; 42(11):5394-5404. PubMed ID: 34708978 [Abstract] [Full Text] [Related]
18. Reconstructing historical changes in phosphorus inputs to rivers from point and nonpoint sources in a rapidly developing watershed in eastern China, 1980-2010. Chen D, Hu M, Guo Y, Dahlgren RA. Sci Total Environ; 2015 Nov 15; 533():196-204. PubMed ID: 26163441 [Abstract] [Full Text] [Related]
19. Spatio-temporal variation of erosion-type non-point source pollution in a small watershed of hilly and gully region, Chinese Loess Plateau. Wu L, Liu X, Ma XY. Environ Sci Pollut Res Int; 2016 Jun 15; 23(11):10957-10967. PubMed ID: 26898934 [Abstract] [Full Text] [Related]
20. An improved export coefficient model to estimate non-point source phosphorus pollution risks under complex precipitation and terrain conditions. Cheng X, Chen L, Sun R, Jing Y. Environ Sci Pollut Res Int; 2018 Jul 15; 25(21):20946-20955. PubMed ID: 29766427 [Abstract] [Full Text] [Related] Page: [Next] [New Search]