Creating Dashboard for Groundwater Level Prediction

T. Swathi, Bhargav Ram. M, Suriyamoorthi, J. M. Ismail Sait, T.Sam Pradeep Raj
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Abstract

This article introduces the creation and implementation of a real-time dashboard for forecasting groundwater levels using javascript and web technologies. The dashboard utilizes historical data and real-time sensor information to offer nearly instantaneous predictions of groundwater levels, aiding in water resource management. The groundwater government URL is a JavaScript program that establishes an interactive web-based platform for forecasting and interpreting groundwater levels visually. By combining machine learning models with geospatial data and continuous monitoring, GPD can anticipate changes in groundwater depth (such as flood risk) and local water table levels at any given moment. Information such as purity level (mg/l), water depth in meters, borewell location, and Ph Level is presented on this dashboard. Users can add parameters to forecast values, visualize predictions, and download data.
创建地下水位预测仪表板
本文介绍了利用 javascript 和网络技术创建和实施地下水位实时预测仪表板的过程。该仪表板利用历史数据和实时传感器信息对地下水位进行近乎即时的预测,从而为水资源管理提供帮助。地下水政府 URL 是一个 JavaScript 程序,它建立了一个基于网络的交互式平台,可直观地预测和解释地下水位。通过将机器学习模型与地理空间数据和连续监测相结合,GPD 可以随时预测地下水深度的变化(如洪水风险)和当地的地下水位。纯度(毫克/升)、水深(米)、井眼位置和 Ph 值等信息都会显示在该仪表板上。用户可以为预测值添加参数、可视化预测结果并下载数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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