Help ?

IGMIN: あなたがここにいてくれて嬉しいです. お願いクリック '新しいクエリを作成してください' 当ウェブサイトへの初めてのご訪問で、さらに情報が必要な場合は.

すでに私たちのネットワークのメンバーで、すでに提出した質問に関する進展を追跡する必要がある場合は, クリック '私のクエリに連れて行ってください.'

Search

Organised by  IgMin Fevicon

Languages

Browse by Subjects

Welcome to IgMin Research – an Open Access journal uniting Biology, Medicine, and Engineering. We’re dedicated to advancing global knowledge and fostering collaboration across scientific fields.

Members

Our goal is to strengthen interdisciplinary bonds and advance the frontier of collective knowledge.

Articles

Our goal is to strengthen interdisciplinary bonds and advance the frontier of collective knowledge.

Explore Content

Our goal is to strengthen interdisciplinary bonds and advance the frontier of collective knowledge.

Identify Us

Our goal is to strengthen interdisciplinary bonds and advance the frontier of collective knowledge.

IgMin Corporation

Welcome to IgMin, a leading platform dedicated to enhancing knowledge dissemination and professional growth across multiple fields of science, technology, and the humanities. We believe in the power of open access, collaboration, and innovation. Our goal is to provide individuals and organizations with the tools they need to succeed in the global knowledge economy.

Publications Support
[email protected]
E-Books Support
[email protected]
Webinars & Conferences Support
[email protected]
Content Writing Support
[email protected]
IT Support
[email protected]

Search

Select Language

Explore Section

Content for the explore section slider goes here.

Abstract

要約 at IgMin Research

Our goal is to strengthen interdisciplinary bonds and advance the frontier of collective knowledge.

Biology Group Research Article 記事ID: igmin258

Correlation between Different Factors of Non-point Source Pollution in Yangtze River Basin

Climate Change Biology HydrologyEnvironmental SciencesSoil Science DOI10.61927/igmin258 Affiliation

Affiliation

    Minh Thu Nguyen, Vietnam Institute of Meteorology, Hydrology and Climate Change, Ministry of Natural Resources and Environment, Vietnam, Email: [email protected]

42.0k
VIEWS
399
DOWNLOADS
Connect with Us

要約

This research used the improved export coefficient model to estimate non-point source load in sub-watersheds and a self-organizing map model to identify the correlation relationship of factors, that can be affected by non-point source load in Yangtze River Basin. Research results indicate that total nitrogen load is 4.87 - 15.53 kg/ha; total phosphorus load is 0.18 - 0.51 kg/ha; Dong Ting Lake sub-basin has the lowest contribution value of total nitrogen and phosphorus; Tai Lake sub-basin has the highest contribution load of total nitrogen and total phosphorus; Jinsha River sub-basin reveals the highest value of total nitrogen and phosphorus contribution on grassy land and desert land; Tai Lake sub-basin has the highest total nitrogen and total phosphorus load on forest, agricultural land, and urban construction land. The correlation relationship of factors reveals a very close correlation with each other as precipitation, total nitrogen load, and total phosphorus load factors have correlation in the highest value, in which total nitrogen load and total phosphorus load factors have a close correlation with each other from the lowest value to highest value; wetland and barren land factors correlate with the lowest value and the highest value; agricultural land, forestland, and grassy land factors correlate with one another in the high value and the highest value. The forest cover rate factor, as well as the population factor, does not correlate with other factors.

数字

参考文献

    1. Peng K, Li JK, Hao GR, Liu YW, Zhou X, Xie WF. Characteristics of non-point source pollution based on monitoring experiment in the Yinwugou small watershed, China. J Ecohydrol Hydrobiol. 2022;23(1):1-14. doi:10.1016/j.ecohyd.2022.09.001.
    2. Ahmadi H. An overview of non-point source pollution modeling: current status and future prospect. J Civil Eng Res Technol. 2023;5(1):1-8.
    3. Shen ZY, Liao Q, Hong Q, Gong YW. An overview of research on agricultural non-point source pollution modeling in China. J Sep Purif Technol. 2012;84:104-111.
    4. Kast JB, Apostel AM, Kalcic MM, Muenich RL, Dagnew A, Long CM, Evenson G, Martin JF. Source contribution to phosphorus loads from the Maumee River watershed to Lake Erie. J Environ Manage. 2021 Feb 1;279:111803. doi: 10.1016/j.jenvman.2020.111803. Epub 2020 Dec 18. PMID: 33341725.
    5. Chen M, Chen J, Sun F. Estimating nutrient releases from agriculture in China: an extended substance flow analysis framework and a modeling tool. Sci Total Environ. 2010 Oct 1;408(21):5123-36. doi: 10.1016/j.scitotenv.2010.07.030. Epub 2010 Aug 5. PMID: 20691463.
    6. Abdulkareem JH, Solomon RI. Non-point source pollution modeling: an overview. J Appl Sci Environ Manage. 2022;26(5):865-870. doi:10.4314/jasem.v26i5.13.
    7. Ding XW, Shen ZY, Hong Q, Yang ZF, Wu X, Liu RM. Development and test of the export coefficient model in the upper reach of the Yangtze River. J Hydrol. 2010;383:233-244.
    8. Chang M, McBroom MW, Scott Beasley R. Roofing as a source of nonpoint water pollution. J Environ Manage. 2004 Dec;73(4):307-15. doi: 10.1016/j.jenvman.2004.06.014. PMID: 15531389.
    9. Fang H. Effect of soil conservation measures and slope on runoff, soil TN, and TP losses from cultivated lands in northern China. J Ecol Indic. 2021;126:107677. doi:10.1016/j.ecolind.2021.107677.
    10. Fu X, Liu J, Mei C, Luan Q, Wang H, Shao W, Sun P, Huo Y. Effect of typhoon rainstorm patterns on the spatio-temporal distribution of non-point source pollution in a coastal urbanized watershed. J Clean Prod. 2021;292:126098. doi:10.1016/j.jclepro.2021.126098.
    11. Liu RM, Yang ZF, Shen ZY, Yu SL, Ding XW, Wu X, Liu F. Estimating nonpoint source pollution in the upper Yangtze River using the export coefficient model, remote sensing, and geographical information system. J Hydraul Eng. 2009;135:698-704.
    12. Han LX, Huo F, Sun J. Method for calculating non-point source pollution distribution in plain rivers. J Water Sci Eng. 2011;4(1):83-91.
    13. Shrestha S, Kazama F, Newham LTH, Babel MS, Clemente RS, Ishidaira H, Nishida K, Sakamoto Y. Catchment scale modeling of point source and non-point source pollution loads using pollutant export coefficients determined from long-term in-stream monitoring data. J Hydro Environ Res. 2008;2:134-147.
    14. Sivertun A, Prange L. Non-point source critical area analysis in the Gisselö watershed using GIS. Environ Model Softw. 2003;18(10):887-898. doi:10.1016/S1364-8152(03)00107-5.
    15. Kohonen T. The self-organizing map. J Neurocomputing. 1998;21(1):1-6.
    16. Kiang MY. Extending the Kohonen self-organizing map networks for clustering analysis. J Comput Stat Data Anal. 2001;38(2):161-180.
    17. Kohonen T. Essentials of the self-organizing map. Neural Netw. 2013 Jan;37:52-65. doi: 10.1016/j.neunet.2012.09.018. Epub 2012 Oct 4. PMID: 23067803.
    18. Sang YF, Wang ZG, Liu CM. Spatial and temporal variability of daily temperature during 1961-2010 in the Yangtze River basin, China. J Quaternary Int. 2012;1-10. doi:10.1016/j.quaint.2012.05.026.
    19. Zeng XF, Kundzewicz WZ, Zhou JZ, Su BD. Discharge projection in the Yangtze River basin under different emission scenarios based on the artificial neural networks. J Quaternary Int. 2011;1-9. doi:10.1016/j.quaint.2011.06.009.
    20. Zhang Q, Jiang T, Gemmer M, Becker S. Precipitation, temperature and discharge analysis from 1951-2002 in the Yangtze Catchment, China. Hydrol Sci J. 2005;50(1):65-80.
    21. Zhang Q, Xu YC, Zhang XZ, Chen DQ, Liu CL, Lin H. Spatial and temporal variability of precipitation maxima during 1960-2005 in the Yangtze River basin and possible association with large-scale circulation. J Hydrol. 2008;353:215-227.
    22. Xu JJ, Yang WD, Yi HY, Lei DZ, Chen J, Yang JW. Spatial and temporal variation of runoff in the Yangtze River basin during the past 40 years. J Quaternary Int. 2008;186:32-42.
    23. Johnes PJ. Evaluation and management of the impact of land use change on the nitrogen and phosphorus load delivered to surface waters: the export coefficient modeling approach. J Hydrol. 1996;183:323-349.
    24. Ding XW, Shen ZY, Hong Q, Yang ZF, Wu X, Liu RM. Development and test of the export coefficient model in the upper reach of the Yangtze River. J Hydrol. 2010;383:233-244.
    25. Liu RM, Yang ZF, Shen ZY, Yu SL, Ding XW, Wu X, Liu F. Estimating nonpoint source pollution in the upper Yangtze River using the export coefficient model, remote sensing, and geographical information system. J Hydraul Eng. 2009;135:698-704.

類似の記事

Potentially Toxic Metals in Cucumber Cucumis sativus Collected from Peninsular Malaysia: A Human Health Risk Assessment
Chee Kong Yap, Rosimah Nulit, Aziran Yaacob, Zaieka Shamsudin, Meng Chuan Ong, Wan Mohd Syazwan, Hideo Okamura, Yoshifumi Horie, Chee Seng Leow, Ahmad Dwi Setyawan, Krishnan Kumar, Wan Hee Cheng and Kennedy Aaron Aguol
DOI10.61927/igmin200
Evaluating Digital Imaging Technologies for Anogenital Injury Documentation in Sexual Assault Cases
Jon Giolitti, Abbigail Behmlander, Sydney Brief, Emma Dixon, Sydney Hudock, Linda Rossman, Stephanie Solis, Meredith Busman, Lisa Ambrose, Lindsey Ouellette and Jeffrey Jones
DOI10.61927/igmin246
Contribution to the Knowledge of Ground Beetles (Coleoptera: Carabidae) from Pakistan
Zubair Ahmed, Haseeb Ahmed Lalika, Imran Khatri and Eric Kirschenhofer
DOI10.61927/igmin171
Kinetic Study of the Removal of Reafix Yellow B8G Dye by Boiler Ash
Peterson Filisbino Prinz, Mariane Hawerroth, Liliane Schier de Lima and Juliana Martins Teixeira de Abreu Pietrobelli
DOI10.61927/igmin127
研究を公開する

私たちは、科学、技術、工学、医学に関する幅広い種類の記事を編集上の偏見なく公開しています。

提出する

見る 原稿のガイドライン 追加 論文処理料

IgMin 科目を探索する

Advertisement

×

Why Publish with IgMin Research?

Submit Your Article