The Impact of Big Data on Climate Change

Adish Chandra Shrivastava, Mohd. Umar
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Abstract

The precariousness and impacts of climate change are spreading worldwide, resulting in economic, environmental, and social damages. Due to this damage, some irregular variations in temperature, rainfalls, and sea level are being experienced. Such variations in temperature, rainfall patterns, or sea level rise are irrelevant. Variations in rainfall intensity will significantly impact water level and water quality. Rising sea levels will impact land usage and development in the coastal area. Big climate data analytics implementations havefocused on climate change because it is a new issue, and extensive study has been done on various subjects. Rainfall prediction is the most crucial aspect of Big data techniques in climate change. Since most individuals worldwide depend on agriculture, this may benefit farmers and the general populace. The study illustrates numerous methods by which big data has aided in creating predictions regarding the problem of climate change. It can assist farmers in making wise judgments on crop yield. Studying the timing of floods or droughts simultaneously may be possible.
大数据对气候变化的影响
气候变化的不稳定性和影响正在全球蔓延,造成经济、环境和社会损害。由于这种破坏,温度、降雨量和海平面正在经历一些不规则的变化。这种温度、降雨模式或海平面上升的变化是无关紧要的。降雨强度的变化会显著影响水位和水质。海平面上升将影响沿海地区的土地使用和发展。由于气候变化是一个新问题,因此气候大数据分析的实施主要集中在气候变化上,并在各个主题上进行了广泛的研究。降雨预测是气候变化大数据技术中最关键的方面。由于世界上大多数人都依赖农业,这可能使农民和一般民众受益。这项研究说明了许多方法,通过这些方法,大数据可以帮助建立有关气候变化问题的预测。它可以帮助农民对作物产量做出明智的判断。同时研究洪水或干旱的时间是可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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