minor changes suggested by mohit
"\n",
"Traditionally, turbidity is analyzed by evaluating water samples taken during field measurements. However, field studies are expensive, time and labor intensive, besides, during lockdown field surveys cannot be undertaken. Thus, a good alternative to field survey measurements is satellite remote sensing data, which can capture both spatial and temporal variations in river turbidity levels. Accordingly, Sentinel-2 multispectral data is used in the current study to evaluate the changes in river turbidity during COVID-19 lockdown, near the holy city of Allahabad, India.\n",
"\n",
- "Allahabad, situated in the northern part of India, is at the confluence of two major rivers: Ganga and its tributary river Yamuna. The point of confluence is a sacred place for Hindus where thousands of devotees gather everyday by the banks of the river to offer prayers. Millions of people depend on the waters from these rivers yet both rivers are heavily polluted by industrial waste, by sewage and even by the remains of the many bodies cremated on their banks. On 25th March 2020, India announced a lockdown for controlling the spread of COVID-19 leading to complete shutdown of industries and restricted human movement. The lockdown resulted in reduction of turbidity thereby improving water quality in rivers throughout the country. This notebook will elaborate the steps to measure this change in turbidity using ArcGIS API for Python."
+ "Allahabad, situated in the northern part of India, is at the confluence of two major rivers: Ganga and its tributary river Yamuna. The point of confluence is a sacred place for Hindus where thousands of devotees gather everyday by the banks of the river to offer prayers. Millions of people depend on the waters from these rivers yet both rivers are heavily polluted by industrial waste, by sewage and even by the remains of the many bodies cremated on their banks. On March 25, 2020, India announced a lockdown for controlling the spread of COVID-19 leading to complete shutdown of industries and restricted human movement. The lockdown resulted in reduction of turbidity thereby improving water quality in rivers throughout the country. This notebook will elaborate the steps to measure this change in turbidity using ArcGIS API for Python."
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- "Ganga and Yamuna river falls under the world's most polluted river due to dumping of waste from industrial and religious activities indicated by its highly turbid water. During the period of lock down there was a significant improvement in the pollution level of both the rivers due to complete shutdown of the above-mentioned functions. This change was investigated using Sentinel-2 satellite imageries of the river stretches, before and during the lockdown periods, with results suggesting substantial decrease in turbidity levels thereby validating the same. The same methodology can be implemented to study the changes in river turbidity for other regions with Sentinel-2 data using ArcGIS platform."
+ "Ganga and Yamuna rivers are among the world's most polluted due to dumping of waste from industrial and religious activities as indicated by their highly turbid water. During the lockdown period, pollution levels fell dramatically in both rivers due to complete shutdown of the above-mentioned functions. This change was investigated using Sentinel-2 satellite imageries of the river stretches, before and during the lockdown periods, with results suggesting substantial decrease in turbidity levels thereby validating the same. The same methodology can be implemented to study the changes in river turbidity for other regions with Sentinel-2 data using ArcGIS platform."
]
},
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