769 related articles for article (PubMed ID: 29101691)
1. A national assessment of the effect of intensive agro-land use practices on nonpoint source pollution using emission scenarios and geo-spatial data.
Zhuo D; Liu L; Yu H; Yuan C
Environ Sci Pollut Res Int; 2018 Jan; 25(2):1683-1705. PubMed ID: 29101691
[TBL] [Abstract][Full Text] [Related]
2. Evaluation of agricultural nonpoint source pollution potential risk over China with a Transformed-Agricultural Nonpoint Pollution Potential Index method.
Yang F; Xu Z; Zhu Y; He C; Wu G; Qiu JR; Fu Q; Liu Q
Environ Technol; 2013; 34(21-24):2951-63. PubMed ID: 24617054
[TBL] [Abstract][Full Text] [Related]
3. 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; 493():138-46. PubMed ID: 24946028
[TBL] [Abstract][Full Text] [Related]
4. Quantifying effects of conservation practices on non-point source pollution in the Miyun Reservoir Watershed, China.
Qiu J; Shen Z; Chen L; Hou X
Environ Monit Assess; 2019 Aug; 191(9):582. PubMed ID: 31435833
[TBL] [Abstract][Full Text] [Related]
5. A method coupled with remote sensing data to evaluate non-point source pollution in the Xin'anjiang catchment of China.
Wang X; Wang Q; Wu C; Liang T; Zheng D; Wei X
Sci Total Environ; 2012 Jul; 430():132-43. PubMed ID: 22634560
[TBL] [Abstract][Full Text] [Related]
6. 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; 25(19):19101-19113. PubMed ID: 29725920
[TBL] [Abstract][Full Text] [Related]
7. 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; 22(14):10647-60. PubMed ID: 25752629
[TBL] [Abstract][Full Text] [Related]
8. 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; 25(21):20946-20955. PubMed ID: 29766427
[TBL] [Abstract][Full Text] [Related]
9. Integrated modeling of agricultural scenarios (IMAS) to support pesticide action plans: the case of the Coulonge drinking water catchment area (SW France).
Vernier F; Leccia-Phelpin O; Lescot JM; Minette S; Miralles A; Barberis D; Scordia C; Kuentz-Simonet V; Tonneau JP
Environ Sci Pollut Res Int; 2017 Mar; 24(8):6923-6950. PubMed ID: 27726081
[TBL] [Abstract][Full Text] [Related]
10. Spatiotemporal patterns and source attribution of nitrogen pollution in a typical headwater agricultural watershed in Southeastern China.
Chen W; He B; Nover D; Duan W; Luo C; Zhao K; Chen W
Environ Sci Pollut Res Int; 2018 Jan; 25(3):2756-2773. PubMed ID: 29139077
[TBL] [Abstract][Full Text] [Related]
11. 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; 23(11):10957-10967. PubMed ID: 26898934
[TBL] [Abstract][Full Text] [Related]
12. Temporal-spatial loss of diffuse pesticide and potential risks for water quality in China.
Ouyang W; Cai G; Huang W; Hao F
Sci Total Environ; 2016 Jan; 541():551-558. PubMed ID: 26439648
[TBL] [Abstract][Full Text] [Related]
13. 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; 185(2):2009-21. PubMed ID: 22644124
[TBL] [Abstract][Full Text] [Related]
14. Methodology for agricultural and rural NPS pollution in a typical county of the North China Plain.
Yang Y; Chen Y; Zhang X; Ongley E; Zhao L
Environ Pollut; 2012 Sep; 168():170-6. PubMed ID: 22626850
[TBL] [Abstract][Full Text] [Related]
15. 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; 29(51):77428-77447. PubMed ID: 35680749
[TBL] [Abstract][Full Text] [Related]
16. [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; 27(3):911-919. PubMed ID: 29726198
[TBL] [Abstract][Full Text] [Related]
17. Coupling with high-resolution remote sensing data to evaluate urban non-point source pollution in Tongzhou, China.
Huang L; Han X; Wang X; Zhang Y; Yang J; Feng A; Li J; Zhu N
Sci Total Environ; 2022 Jul; 831():154632. PubMed ID: 35314232
[TBL] [Abstract][Full Text] [Related]
18. Prediction and optimization of regional land-use patterns considering nonpoint-source pollution control under conditions of uncertainty.
Rong Q; Zeng J; Su M; Yue W; Cai Y
J Environ Manage; 2022 Mar; 306():114432. PubMed ID: 35026718
[TBL] [Abstract][Full Text] [Related]
19. 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; 30(54):115950-115964. PubMed ID: 37897581
[TBL] [Abstract][Full Text] [Related]
20. Modeling of land use and reservoir effects on nonpoint source pollution in a highly agricultural basin.
Wu Y; Liu S
J Environ Monit; 2012 Sep; 14(9):2350-61. PubMed ID: 22790209
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]