Geochemical implications of minerals and environmentally sensitive elements of Giral lignite, Barmer Basin, Rajasthan (India)

<p>A strategy to control the efficiency of a photocleavage reaction based on changing the nature of the excited state is presented. A novel class of photoactive compounds has been synthesized by combining the classical o-nitrobenzyl scaffold with an environmentally sensitive dye, 4-amino-nitrobenzothiazole. Irradiation in a polar solvent lead to an excited state that is inoperative for photochemistry whereas excitation in a nonpolar solvent lead to an excited state that is photochemically active. A photochemical degradation appears to be the preferred process in contrast to the intended photocleavage process.</p>

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IMPACT OF FLOODING ON SOIL ENZYME ACTIVITY IN ENVIRONMENTALLY SENSITIVE AREAS

Carpathian Journal of Earth and Environmental Sciences ◽

10.26471/cjees/2018/013/048 ◽

2018 ◽

Vol 13 (2) ◽

pp. 567-574

Author(s):

Petra HULIČOVÁ ◽

◽

Danica FAZEKAŠOVÁ ◽

Juraj FAZEKAŠ

Keyword(s):

Enzyme Activity ◽

Soil Enzyme ◽

Soil Enzyme Activity ◽

Sensitive Areas ◽

Environmentally Sensitive Areas ◽

Environmentally Sensitive

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Chesapeake Bay Stock Assessment: Who are they, and Where are they?

Water Science & Technology ◽

10.2166/wst.1992.0371 ◽

1992 ◽

Vol 26 (12) ◽

pp. 2705-2709 ◽

Cited By ~ 1

Author(s):

H. M. Austin

Keyword(s):

Chesapeake Bay ◽

Stock Assessment ◽

Human Consumption ◽

Population Fluctuations ◽

Important Species ◽

Fisheries Resources ◽

Environmentally Sensitive ◽

Climate Scale ◽

Resource And Environment

The Chesapeake Bay, while a significant habitat for fisheries resources, is in actuality an aquatic “bedroom community”, as many of the economically important species are seasonally transient. The pressure on these resources due to their demand for human consumption and recreation, proximity to extensive industrial activity along the shores, and climate scale environmental fluctuations has resulted in stock declines by most important species. Our inability to separate natural population fluctuations from those of anthropogenic origin complicates management efforts. The only way to make these separations, and subsequent informed management decisions is by supporting long-term stock assessment programs (monitoring) in the Bay which allow us to examine trends, cycles and stochastic processes between resource and environment. These programs need to monitor both recruitment and fishing mortality rates of the economically important species, and to identify and monitor the environmentally sensitive “canary” species.

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The Unintended Consequences of Tax Policy: How Mississippi's Ad Valorem Tax Structure Led to Environmental Devastation

Accounting Historians Journal ◽

10.2308/aahj-19-019 ◽

2020 ◽

Vol 47 (1) ◽

pp. 75-85

Author(s):

William H. Black

Keyword(s):

20Th Century ◽

Unintended Consequences ◽

Tax Structure ◽

Ad Valorem Tax ◽

Timber Industry ◽

Mill Operator ◽

Clear Cutting ◽

Environmentally Sensitive ◽

Land Holdings ◽

Ad Valorem

ABSTRACT This is a story in two parts. The first describes the timber industry and the ad valorem tax structure in Mississippi during the first several decades of the 20th century. The second introduces Ran Batson, an entrepreneur and lumber mill operator, whose history illustrates the adverse consequences of the Mississippi ad valorem tax as it inspired extensive clear-cutting of forests and resulting devastation. Fortunately, the Mississippi tax structure has subsequently changed to a more favorable approach, and in the last several years of his life, Ran Batson learned the benefits possible from managing his land holdings in a more environmentally sensitive manner.

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Evaluation of hydrocarbon potential with insight into climate and environment present during deposition of the Sonari lignite, Barmer Basin Rajasthan

Energy and Climate Change ◽

10.1016/j.egycc.2020.100006 ◽

2020 ◽

Vol 1 ◽

pp. 100006

Author(s):

Alok Kumar ◽

Alok K. Singh ◽

Debajyoti Paul ◽

Abhishek Kumar

Keyword(s):

Hydrocarbon Potential ◽

Barmer Basin ◽

Insight Into

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Advances in automatic identification of flying insects using optical sensors and machine learning

Scientific Reports ◽

10.1038/s41598-021-81005-0 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Carsten Kirkeby ◽

Klas Rydhmer ◽

Samantha M. Cook ◽

Alfred Strand ◽

Martin T. Torrance ◽

...

Keyword(s):

Machine Learning ◽

Optical Sensors ◽

Precision Agriculture ◽

Insect Pests ◽

Crop Damage ◽

Automatic Identification ◽

Flying Insects ◽

Remote Sensor ◽

Promising Solution ◽

Environmentally Sensitive

AbstractWorldwide, farmers use insecticides to prevent crop damage caused by insect pests, while they also rely on insect pollinators to enhance crop yield and other insect as natural enemies of pests. In order to target pesticides to pests only, farmers must know exactly where and when pests and beneficial insects are present in the field. A promising solution to this problem could be optical sensors combined with machine learning. We obtained around 10,000 records of flying insects found in oilseed rape (Brassica napus) crops, using an optical remote sensor and evaluated three different classification methods for the obtained signals, reaching over 80% accuracy. We demonstrate that it is possible to classify insects in flight, making it possible to optimize the application of insecticides in space and time. This will enable a technological leap in precision agriculture, where focus on prudent and environmentally-sensitive use of pesticides is a top priority.

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