Agricultural Non-Point Source Pollution: Comprehensive Analysis of Sources and Assessment Methods

被引:3
作者
Hussain, Fida [1 ,2 ,3 ]
Ahmed, Shakeel [1 ,2 ,3 ]
Naqvi, Syed Muhammad Zaigham Abbas [1 ,2 ,3 ]
Awais, Muhammad [1 ,2 ,3 ]
Zhang, Yanyan [1 ,2 ,3 ]
Zhang, Hao [1 ,2 ,3 ]
Raghavan, Vijaya [4 ]
Zang, Yiheng [1 ,2 ,3 ]
Zhao, Guoqing [5 ]
Hu, Jiandong [1 ,2 ,3 ]
机构
[1] Henan Agr Univ, Coll Mech & Elect Engn, Zhengzhou 450002, Peoples R China
[2] Henan Int Joint Lab Laser Technol Agr Sci, Zhengzhou 450002, Peoples R China
[3] State Key Lab Wheat & Maize Crop Sci, Zhengzhou 450002, Peoples R China
[4] McGill Univ, Fac Agr & Environm Studies, Dept Bioresource Engn, Sainte Anne De Bellevue, PQ H9X 3V9, Canada
[5] Swansea Univ, Sch Management, Swansea SA2 8PP, Wales
来源
AGRICULTURE-BASEL | 2025年 / 15卷 / 05期
关键词
agricultural non-point source pollution; nutrient leaching and runoff; assessment techniques; sustainable agriculture; ecosystem stability; COVER CROPS; PRECISION AGRICULTURE; PHOSPHORUS RUNOFF; IMPROVING SOIL; WATER-QUALITY; MODEL USE; FERTILIZATION MANAGEMENT; IN-SITU; NITROGEN; DYNAMICS;
D O I
10.3390/agriculture15050531
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Agricultural non-point source pollution (ANPSP) significantly affects worldwide water quality, soil integrity, and ecosystems. Primary factors are nutrient runoff, pesticide leaching, and inadequate livestock waste management. Nonetheless, a thorough assessment of ANPSP sources and efficient control techniques is still lacking. This research delineates the origins and present state of ANPSP, emphasizing its influence on agricultural practices, livestock, and rural waste management. It assesses current evaluation models, encompassing field- and watershed-scale methodologies, and investigates novel technologies such as Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) that possess the potential to enhance pollution monitoring and predictive precision. The research examines strategies designed to alleviate ANPSP, such as sustainable agricultural practices, fertilizer reduction, and waste management technology, highlighting the necessity for integrated, real-time monitoring systems. This report presents a comprehensive analysis of current tactics, finds significant gaps, and offers recommendations for enhancing both research and policy initiatives to tackle ANPSP and foster sustainable farming practices.
引用
收藏
页数:35
相关论文
共 208 条
[1]   Global diagnosis of nitrate pollution in groundwater and review of removal technologies [J].
Abascal, E. ;
Gomez-Coma, L. ;
Ortiz, I ;
Ortiz, A. .
SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 810
[2]  
Akinnawo S.O., 2023, Environmental Challenges, V12, P100733, DOI [10.1016/J.ENVC.2023.100733, DOI 10.1016/J.ENVC.2023.100733, 10.1016/j.envc.2023.100733]
[3]   Using the USLE: Chances, challenges and limitations of soil erosion modelling [J].
Alewell, Christine ;
Borrelli, Pasquale ;
Meusburger, Katrin ;
Panagos, Panos .
INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH, 2019, 7 (03) :203-225
[4]   A review of Soil and Water Assessment Tool (SWAT) studies of Mediterranean catchments: Applications, feasibility, and future directions [J].
Aloui, Sarra ;
Mazzoni, Annamaria ;
Elomri, Adel ;
Aouissi, Jalel ;
Boufekane, Abdelmadjid ;
Zghibi, Adel .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 326
[5]   AgriSegNet: Deep Aerial Semantic Segmentation Framework for IoT-Assisted Precision Agriculture [J].
Anand, Tanmay ;
Sinha, Soumendu ;
Mandal, Murari ;
Chamola, Vinay ;
Yu, Fei Richard .
IEEE SENSORS JOURNAL, 2021, 21 (16) :17581-17590
[6]  
[Anonymous], 2020, INT C PATTERN RECOGN
[7]  
[Anonymous], China Rural Statistical Yearbook
[8]  
Arnold JG, 2012, T ASABE, V55, P1491
[9]   Regional estimation of base flow and groundwater recharge in the Upper Mississippi river basin [J].
Arnold, JG ;
Muttiah, RS ;
Srinivasan, R ;
Allen, PM .
JOURNAL OF HYDROLOGY, 2000, 227 (1-4) :21-40
[10]   Biochar Effects on Rice Paddy: Meta-analysis [J].
Awad, Yasser M. ;
Wang, Jinyang ;
Igalavithana, Avanthi D. ;
Tsang, Daniel C. W. ;
Kim, Ki-Hyun ;
Lee, Sang S. ;
Ok, Yong Sik .
ADVANCES IN AGRONOMY, VOL 148, 2018, 148 :1-32