Prediction of Photochemically Produced Reactive Intermediates in Surface Waters via Satellite Remote Sensing
Absorption of solar radiation by colored dissolved organic matter (CDOM) in surface waters results in the formation of photochemically produced reactive intermediates (PPRIs) that react with pollutants in water. Knowing the steady-state concentrations of PPRIs ([PPRI] ) is critical to predicting the...
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| Vydané v: | Environmental science & technology Ročník 54; číslo 11; s. 6671 |
|---|---|
| Hlavní autori: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
United States
02.06.2020
|
| ISSN: | 1520-5851, 1520-5851 |
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| Abstract | Absorption of solar radiation by colored dissolved organic matter (CDOM) in surface waters results in the formation of photochemically produced reactive intermediates (PPRIs) that react with pollutants in water. Knowing the steady-state concentrations of PPRIs ([PPRI]
) is critical to predicting the persistence of pollutants in sunlit surface waters. CDOM levels (
) can be measured remotely for lakes over large areas using satellite imagery. Laboratory measurements of [PPRI]
and apparent quantum yields (Φ) of three PPRIs (
DOM*,
O
, and
OH) were made for 24 lake samples under simulated sunlight. The total rate of light absorption by the water samples (
), the rates of formation (
), and [PPRI]
of
DOM* and
O
linearly increased with incre
sing
. The production rate of
OH was linearly correlated with
, but the steady-state concentration was best fit by a logarithmic function. The relationship between measured
and Landsat 8 reflectance was used to map
for more than 10 000 lakes across Minnesota. Relationships of
with
, [PPRIs]
, and
were coupled with satellite-based
assessments to map reactive species production rates and concentrations as well as contaminant transformation rates. This study demonstrates the potential for using satellite imagery for estimating contaminant loss via indirect photolysis in lakes. |
|---|---|
| AbstractList | Absorption of solar radiation by colored dissolved organic matter (CDOM) in surface waters results in the formation of photochemically produced reactive intermediates (PPRIs) that react with pollutants in water. Knowing the steady-state concentrations of PPRIs ([PPRI]ss) is critical to predicting the persistence of pollutants in sunlit surface waters. CDOM levels (a440) can be measured remotely for lakes over large areas using satellite imagery. Laboratory measurements of [PPRI]ss and apparent quantum yields (Φ) of three PPRIs (3DOM*, 1O2, and •OH) were made for 24 lake samples under simulated sunlight. The total rate of light absorption by the water samples (Ra), the rates of formation (Rf), and [PPRI]ss of 3DOM* and 1O2 linearly increased with increasing a440. The production rate of •OH was linearly correlated with a440, but the steady-state concentration was best fit by a logarithmic function. The relationship between measured a440 and Landsat 8 reflectance was used to map a440 for more than 10 000 lakes across Minnesota. Relationships of a440 with Rf, [PPRIs]ss, and Ra were coupled with satellite-based a440 assessments to map reactive species production rates and concentrations as well as contaminant transformation rates. This study demonstrates the potential for using satellite imagery for estimating contaminant loss via indirect photolysis in lakes.Absorption of solar radiation by colored dissolved organic matter (CDOM) in surface waters results in the formation of photochemically produced reactive intermediates (PPRIs) that react with pollutants in water. Knowing the steady-state concentrations of PPRIs ([PPRI]ss) is critical to predicting the persistence of pollutants in sunlit surface waters. CDOM levels (a440) can be measured remotely for lakes over large areas using satellite imagery. Laboratory measurements of [PPRI]ss and apparent quantum yields (Φ) of three PPRIs (3DOM*, 1O2, and •OH) were made for 24 lake samples under simulated sunlight. The total rate of light absorption by the water samples (Ra), the rates of formation (Rf), and [PPRI]ss of 3DOM* and 1O2 linearly increased with increasing a440. The production rate of •OH was linearly correlated with a440, but the steady-state concentration was best fit by a logarithmic function. The relationship between measured a440 and Landsat 8 reflectance was used to map a440 for more than 10 000 lakes across Minnesota. Relationships of a440 with Rf, [PPRIs]ss, and Ra were coupled with satellite-based a440 assessments to map reactive species production rates and concentrations as well as contaminant transformation rates. This study demonstrates the potential for using satellite imagery for estimating contaminant loss via indirect photolysis in lakes. Absorption of solar radiation by colored dissolved organic matter (CDOM) in surface waters results in the formation of photochemically produced reactive intermediates (PPRIs) that react with pollutants in water. Knowing the steady-state concentrations of PPRIs ([PPRI] ) is critical to predicting the persistence of pollutants in sunlit surface waters. CDOM levels ( ) can be measured remotely for lakes over large areas using satellite imagery. Laboratory measurements of [PPRI] and apparent quantum yields (Φ) of three PPRIs ( DOM*, O , and OH) were made for 24 lake samples under simulated sunlight. The total rate of light absorption by the water samples ( ), the rates of formation ( ), and [PPRI] of DOM* and O linearly increased with incre sing . The production rate of OH was linearly correlated with , but the steady-state concentration was best fit by a logarithmic function. The relationship between measured and Landsat 8 reflectance was used to map for more than 10 000 lakes across Minnesota. Relationships of with , [PPRIs] , and were coupled with satellite-based assessments to map reactive species production rates and concentrations as well as contaminant transformation rates. This study demonstrates the potential for using satellite imagery for estimating contaminant loss via indirect photolysis in lakes. |
| Author | Page, Benjamin P Olmanson, Leif G Chen, Yiling Brezonik, Patrick L Arnold, William A Finlay, Jacques C Hozalski, Raymond M |
| Author_xml | – sequence: 1 givenname: Yiling orcidid: 0000-0003-4806-5623 surname: Chen fullname: Chen, Yiling organization: Department of Civil, Environmental, and Geo- Engineering, University of Minnesota, 500 Pillsbury Drive SE, Minneapolis, Minnesota 55455-0116, United States – sequence: 2 givenname: Raymond M surname: Hozalski fullname: Hozalski, Raymond M organization: Department of Civil, Environmental, and Geo- Engineering, University of Minnesota, 500 Pillsbury Drive SE, Minneapolis, Minnesota 55455-0116, United States – sequence: 3 givenname: Leif G surname: Olmanson fullname: Olmanson, Leif G organization: Department of Forest Resources, University of Minnesota, 1530 Cleveland Avenue North, St. Paul, Minnesota 55108-6112, United States – sequence: 4 givenname: Benjamin P surname: Page fullname: Page, Benjamin P organization: Water Resources Center, University of Minnesota, 1985 Buford Avenue, St. Paul, Minnesota 55108-6112, United States – sequence: 5 givenname: Jacques C surname: Finlay fullname: Finlay, Jacques C organization: Department of Ecology, Evolution, and Behavior, University of Minnesota, 1987 Upper Buford Circle, St. Paul, Minnesota 55108-6097, United States – sequence: 6 givenname: Patrick L orcidid: 0000-0001-9077-121X surname: Brezonik fullname: Brezonik, Patrick L organization: Department of Civil, Environmental, and Geo- Engineering, University of Minnesota, 500 Pillsbury Drive SE, Minneapolis, Minnesota 55455-0116, United States – sequence: 7 givenname: William A orcidid: 0000-0003-0814-5469 surname: Arnold fullname: Arnold, William A organization: Department of Civil, Environmental, and Geo- Engineering, University of Minnesota, 500 Pillsbury Drive SE, Minneapolis, Minnesota 55455-0116, United States |
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| Title | Prediction of Photochemically Produced Reactive Intermediates in Surface Waters via Satellite Remote Sensing |
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