Diverse forests are stronger against drought North Island farmers lose 100,000 lambs after spring storm Germany is razing a 12,000-year-old forest to make way for a coal mine বইছে আশ্বিনী দাবদাহ, বৃষ্টি কবে? I went trash free for a day বাংলাদেশে প্লাস্টিক দূষণ এবং পরিবেশের উপর তার প্রভাব পরিবেশের দূষণের বছরে ক্ষতি সাড়ে ছয় শ কোটি ডলার: বিশ্বব্যাংক Drought-stricken farmers challenge Coalition’s climate change stance in TV ad Is Climate Change Making Hurricanes Worse? Yes, Here’s Why. Off Tanzania, in one of the world’s richest seas, why is the catch getting smaller?

Algorithm Provides Early Warning System for Tracking Groundwater Contamination


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Groundwater contamination is increasingly recognized as a widespread environmental problem. The most important course of action often involves long-term monitoring. But what is the most cost-effective way to monitor when the contaminant plumes are large, complex, and long-term, or an unexpected event such as a storm could cause sudden changes in contaminant levels that may be missed by periodic sampling?

Scientists at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) and Savannah River National Laboratory have developed a low-cost method for real-time monitoring of pollutants using commonly available sensors. Their study, “In Situ Monitoring of Groundwater Contamination Using the Kalman Filter,” was published recently in the journal, Environmental Science & Technology.

read more: https://www.enn.com/articles/55124-algorithm-provides-early-warning-system-for-tracking-groundwater-contamination

Posted by on Aug 14 2018. Filed under News at Now, News From Roots, Water & Wetland. You can follow any responses to this entry through the RSS 2.0. You can leave a response or trackback to this entry

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