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A Review on AI and ES in Soil and Water Conservation of China

机译:中国水土保持中的AI和ES综述

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摘要

For centuries, mankind has been heavily perplexed by soil and water losses, which has been one of the top ten environmental problems worldwide. The governments all over the world have increasingly paid high attention to the control of soil and water losses, and researches on soil and water losses and their principles have been carried out. Soil and water losses are the integrated outcomes resulted from the interactions of natural, social and economic factors. It is an opening and gigantic system with complexity. Limited by the developing level of sciences, early researches on soil and water conservation were conducted qualitatively. With the development of the technologies of computer science and other modern scientific methods, the researches have stepped into the semi-quantitative and quantitative level. In 1940s quantitative analysis was applied to the researches on soil and water losses in China(Yangqinke et al.,1998).In early 1980s,statistical analysis was used to estimate soil erosion(Mujinze et at., 1983). With the development of quantity campaign, physical patten has been introduced to establish the model of mathematical statistics and mathematics to quantitatively describe the development and principles of variation of soil and water losses. At the end of 1980s, Chinese scholars set out to establish physical prediction models of soil erosion(Cai Qiangguo et al.,1996).However, these models were prevented from further development for lacking real-determined datas and parameters. The rapid development of the technologies of computer science and spatial information have provided new methods to the researches on soil and water conservation. Since 1990s ,the applications of remote satellite image, digital map and geographic information system have considerably improved the ability to solve problems and accelerated the development of the science of soil and water conservation . Metasynthesis, proposed by Qianqicheng, the famous academician of Chinese Science Academy is a kind of synthesis from qualitiveness to quantitiveness for opening and gigantic systems with complexity. It is an important guide for the quantitative researches on soil and water conservation. More and more people are aware of the importance of quantitative studies. And Artificial Intelligent ,especially Expert Systems are considered to be helpful, because they are powerful in dealing with the non-structural problems .
机译:几个世纪以来,水土流失一直困扰着人类,水土流失一直是全球十大环境问题之一。世界各国政府对水土流失的控制越来越重视,对水土流失及其原理进行了研究。水土流失是自然,社会和经济因素相互作用产生的综合结果。这是一个开放而庞大的系统,具有复杂性。受科学发展水平的限制,定性进行了水土保持的早期研究。随着计算机科学技术和其他现代科学方法的发展,研究已进入半定量和定量的水平。 1940年代,定量分析被用于中国的水土流失研究(Yangqinke等,1998)。1980年代初,统计分析被用于估算土壤侵蚀(Mujinze等,1983)。随着数量运动的发展,引入了物理模型来建立数学统计和数学模型,以定量描述水土流失的发展和变化原理。在1980年代末,中国学者着手建立土壤侵蚀的物理预测模型(蔡强国等,1996),但是由于缺乏实际的数据和参数,这些模型无法得到进一步发展。计算机科学和空间信息技术的飞速发展为水土保持研究提供了新的方法。自1990年代以来,远程卫星图像,数字地图和地理信息系统的应用大大提高了解决问题的能力,并加速了水土保持科学的发展。中国科学院著名院士钱其成提出的元合成,是对开放性和庞大复杂性系统从定性到定量的综合。它是水土保持定量研究的重要指南。越来越多的人意识到定量研究的重要性。人工智能,特别是专家系统被认为是有帮助的,因为它们在处理非结构性问题方面功能强大。

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