Environmental Data Management System


Whatever the environmental management challenge, WebPE's software solutions can help manage data and associated documents more effectively while efficiently applying best-practices solutions.

WebPE - NPDES Solutions
NPDES/Stormwater
NPDES Stormwater monitoring requires a tool that combines real-time data, chemical analyses, and professional judgment to meet regulatory reporting requirements. WebPE's Environmental Data Management System resolves the tricky integration issues between hydrology, field sampling data, and laboratory analysis. Automated reduction and statistics support advanced charting and reporting utilities and give the professional everything needed to compute pollutant loads.
WebPE - Site Solutions
Site Investigations
Managing a multi-matrix site investigation can be complicated, but with WebPE's Environmental Data Management System managing the chemistry data can be made much simpler and more efficient. WebPE's EDMS has a simple data load procedure followed by an automated data reduction to get to the data analysis stage even faster. Advanced charting and reporting tools make analysis faster and easier while allowing faster reactions to changing conditions.
WebPE - Habitat Conservation Solutions
Habitat Conservation
With WebPE's Environmental Data Management System sustainable habitat conservation management and associated data analysis is simplified through advanced statistics automation and advanced charting and reporting tools. EDMS categorizes and organizes data by area, organism class, biological species, and uses automated statistical analysis to generate Excel-based reports created for easier manual analysis, as well as publication.
WebPE - Groundwater Solutions
Groundwater
The massive amounts of data which can be collected for groundwater chemistry and levels could be overwhelming, if not for WebPE's Environmental Data Management System. With WebPE's EDMS, groundwater data can be quickly and efficiently added to the system, reduced to the best value measurements, then analyzed within a set of standard practices. The result is publication-ready graphs and reports far faster than before with increased data integrity and tracability.


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