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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Real-time monitoring of rainfall through rain gauges enables operations personnel to be alerted about potential flooding or sewer overflow situations. By closely tracking and evaluating precipitation levels at various sites, it becomes possible to estimate rainfall in areas that are not directly monitored, a method known as the “Distributed Rainfall Modelling Technique” (DRMT). The integration of rainfall radar data with readings from rain gauges facilitates the creation of enhanced rainfall coverage maps. Furthermore, examining historical rainfall data helps in constructing rainfall intensity-duration curves, which can be compared to the design intensity-duration-frequency curves of the region, aiding in the identification of return periods for recorded events through forensic analysis. In addition, new intensity-duration-frequency curves can be generated to inform the design of drainage infrastructure, including sewers, channels, and storage facilities. Continuous flow monitoring, coupled with data analysis, contributes to the development of rainfall versus stormwater runoff response curves, which are essential for calibrating drainage system models effectively. This comprehensive approach ensures that urban planning and flood management strategies are well-informed and responsive to actual conditions.

Description

ndCurveMaster, a specialized curve fitting software, is designed to fit curves with multiple variables. It automatically applies nonlinear equations to your datasets. These can be observed or measured values. The software supports curve and surfaces fitting in 2D 3D 4D 5D ..., dimensions. ndCurveMaster is able to handle any data, no matter how complex or how many variables there are. ndCurveMaster, for example, can efficiently derive the optimal equations for a dataset that has six inputs (x1-x6) and a corresponding output Y. For example: Y = a0 - a1 - exp(x1)0.5 + a2 ln(x2)8... + a6 x65.2 to accurately match measured value. ndCurveMaster uses machine learning numerical methods to automatically fit the most suitable nonlinear regression function to your dataset, and discover the relationships between inputs and outputs. This tool supports various curve fitting methods, including linear, polynomial, and nonlinear methods. It also utilizes essential validation and goodness-of-fit tests to ensure accuracy. Additionally, ndCurveMaster provides advanced assessments, such as detecting overfitting and multicollinearity, using tools like the Variance Inflation Factor (VIF) and the Pearson correlation matrix.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Pascal
Python

Integrations

Pascal
Python

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

€289
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Smart City Water

Country

Canada

Website

smartcitywater.ca/datacurrent/

Vendor Details

Company Name

SigmaLab Tomas Cepowski

Founded

2017

Country

Poland

Website

www.ndcurvemaster.com

Product Features

Product Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

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