Geostatistics applied to site characterization and remediation

The global economy and success of contaminated site characterization and remediation projects and the environmental exposure are strongly impacted by the quantity of material to be excavated, treated, then re-used or eliminated. Appropriate data acquisition, reliable mapping, precise waste categorization, and uncertainty assessment are key issues for achieving successful projects.

Whatever the contamination type (chemical or radiological) you are facing and the impacted medium (soil, concrete, sediments or groundwater), geostatistics provides you with the most efficient framework to meet these goals and improve your decision-making process.

Hear from our customers

Dans le cadre de ses formations, l’INSTN fait appel à des experts reconnus. Yvon Desnoyers, consultant à Geovariances, est de ceux-là. Ses interventions permettent de délivrer une formation de qualité en combinant une approche théorique et des exemples d’applications...


Guy Granier, Responsable pédagogique - Institut National des Sciences et Techniques Nucléaires (INSTN)
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Kartotrak permet de réaliser rapidement l’analyse des données de pollution et de générer des visualisations graphiques et rendus professionnels. Le logiciel améliore la compréhension du fonctionnement d’un site pollué et nous aide à dimensionner des solutions de gestion.


Sébastien Kaskassian, Chef de projet et Responsable Innovation - Tauw France
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When using a "sniffing truck" with MIP probes to search for pollutions by volatile organic pollutants, thousands of data are collected. With Kartotrak, the management of all these data becomes a childlike simplicity and the graphical representations of results more relevant.


Jean-Louis Sevèque, Expert in Environment - AquaTerraSana
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It has been a great time and a great opportunity to be able to learn and share Geostatistics knowledge and computer codes from the Geovariances team. I think that only by myself it would have been impossible to realize some of the main features of Isatis.


Jose Luis Leganés Nieto, R&D, L&ILW Engineering Department - Enresa
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"Geovariances Technical Support is extra"


Pascal Chotard, - CEA, France
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WHAT IS HAPPENING IN YOUR INDUSTRY?

News

April 28, 2017

Discover Isatis 2017 new functionalities for kriging and sampling optimization and surface handling. And a new and smart way of classifyin...

February 10, 2017

Try Kartotrak.one, verify how quick and easy it is to get reliable contamination maps and get a discount on the purchase of licenses.

February 2, 2017

Geovariances is involved in two Ademe-funded projects: Geobapa which main issue is to facilitate the materials exchange resulting in an in...

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Events

May 24-25, 2017

Want to know more about Kartotrak, our software solution for contamination characterization and mapping? Ask for your demo while at our bo...

June 26-30, 2017

Attend our paper presentation about the project CARTORISK and find out why geostatistical mapping of health risks improves decision making...

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Resources

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Data Quality Control

Before starting an evaluation of the contamination leading to decision-making tools for site clean-up, it is essential to ensure data quality. Thus, based on solid and reliable foundations, uncertainties occurring during the different steps of the decision process will be better controlled and the final quality of the project improved.

The objective of this white paper is to assess at best the validity of the data through visual, statistical and geostatistical basic tools before going further into their analysis.

Dose Rate Mapping

The objective of any serious mapping is to obtain a realistic and reliable image of the studied phenomenon. Concerning dose rate, maps are often derived from punctual measurements interpolated using deterministic methods. Sometimes, the choice of the inverse distance squared weighted interpolation is wrongly justified by the fact that the dose rate issued from a punctual source is theoretically inversely proportional to the squared distance between the source and the measurement point.

Through this white paper, find out why this inverse distance squared weighted interpolation is not the appropriate method for dose rate mapping and why the geostatistical approach by kriging is the solution for a quality and reliable mapping.

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