Jove
Visualize
联系我们

相关概念视频

Responses to Salt Stress02:02

Responses to Salt Stress

13.1K
Salt stress—which can be triggered by high salt concentrations in a plant’s environment—can significantly affect plant growth and crop production by influencing photosynthesis and the absorption of water and nutrients.
13.1K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

124
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
124
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

45
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
45

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Basin-scale multi-index assessment of heavy metal contamination and risk partitioning across intertidal-supratidal sands in an industrialized Mediterranean coast (Gulf of Gabès; Tunisia).

Marine pollution bulletin·2026
Same author

Case-control study of drinking water quality in Yemen.

Eastern Mediterranean health journal = La revue de sante de la Mediterranee orientale = al-Majallah al-sihhiyah li-sharq al-mutawassit·2024
Same author

Groundwater quality for irrigation in an arid region-application of fuzzy logic techniques.

Environmental science and pollution research international·2022
Same author

A groundwater risk assessment for irrigation purpose based on salinity indicators: applied to southeastern Tunisia.

Environmental monitoring and assessment·2022
Same author

AHP and GIS for assessment of groundwater suitability for irrigation purpose in coastal-arid zone: Gabes region, southeastern Tunisia.

Environmental science and pollution research international·2022
Same author

Assessment of groundwater vulnerability and pollution risk using AVI, SPI, and RGPI indexes: applied to southern Gabes aquifer system, Tunisia.

Environmental science and pollution research international·2022
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jun 27, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.3K

使用结合的人工智能模型进行地下水化风险评估.

Oussama Dhaoui1,2, Isabel Margarida Antunes3, Ines Benhenda4

  • 1Higher Institute of Water Sciences and Techniques, Applied Hydrosciences Laboratory, University of Gabes, University Campus, 6033, Gabes, Tunisia. dhaoui.oussama2013@gmail.com.

Environmental science and pollution research international
|April 28, 2024
PubMed
概括

人工智能模型,包括人工神经网络 (ANN),改善了干旱地区地下水化风险评估. 在预测地下水污染的传统方法中,ANN模型显示出更高的准确性.

关键词:
干旱地区是干旱地区.人工智能的人工智能是人工智能.这是极端的,极端的.地下水的盐化导致了地下水的盐化.孟泽尔·哈比布 (Menzel Habib) 是一个古老的宗教组织.

更多相关视频

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.4K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

3.7K

相关实验视频

Last Updated: Jun 27, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.3K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.4K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

3.7K

科学领域:

  • 水文地质学 水文地质学
  • 环境科学 环境科学
  • 人工智能的人工智能

背景情况:

  • 地下水污染风险评估对于水资源管理至关重要,特别是在干旱地区,如突尼斯的Menzel Habib.
  • 最初的DRASTIC脆弱性方法在准确反映地下水化风险方面存在局限性.
  • 现有的方法显示,极大脆弱性指数 (VI) 和地下水总溶解固体 (TDS) 之间的相关性很弱.

研究的目的:

  • 开发和验证人工智能 (AI) 模型,用于评估地下水盐化风险 (GSR).
  • 通过结合TDS-GSR指标来增强原来的DRASTIC方法.
  • 为了比较ANN,SVR和MLR模型在预测GSR方面的性能.

主要方法:

  • 人工神经网络 (ANN),支持向量回归 (SVR) 和多重线性回归 (MLR) 算法的应用.
  • 使用原始DRASTIC模型的七个参数作为输入.
  • 使用来自TDS的地下水盐化风险 (GSR) 值作为AI模型的输出.

主要成果:

  • 原始的DRASTIC VI表明脆弱性低至中等 (91-141),但与TDS的相关性很弱 (r <0.5).
  • 在培训期间,ANN模型表现出卓越的性能,实现0.89的相关系数 (r) 和0.4的威尔莫特协议指数 (d).
  • 基于ANN的方法证明比SVR,MLR和原来的DRASTIC模型更强大,更准确.

结论:

  • 人工智能模型,特别是ANN,为评估地下水化风险提供了更准确和更强大的方法.
  • 与原来的DRASTIC模型相比,纳入TDS-GSR指标显著改善了地下水脆弱性评估.
  • 这些发现为干旱环境中管理地下水污染风险提供了宝贵的见解.