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Analysis of Urbanization Based on Center-of-gravity Movement and Characteristics in Songhua River Basin of China and its Southern Source Sub-basin between 1990 and 2010 被引量:1
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作者 FU Xiao SHEN Yuan +2 位作者 DONG Rencai DENG Hongbing WU Gang 《Chinese Geographical Science》 SCIE CSCD 2016年第1期117-128,共12页
Urbanization in modern times led to a series of development strategies that brought new opportunities in China. Rapid urbanization caused severe stress to the ecosystems and the environment. Using the center-of-gravit... Urbanization in modern times led to a series of development strategies that brought new opportunities in China. Rapid urbanization caused severe stress to the ecosystems and the environment. Using the center-of-gravity(COG) method and parameters such as population, economy, and land, we studied the urbanization pattern in Songhua River Basin and its southern source sub-basin from 1990 to 2010. Urbanization was analyzed based on the COG position, eccentric distance, movement direction of COG, and distance of COG movement. Various characteristics of urbanization in the southern source sub-basin of the Songhua River were explained in relation to the whole Songhua River Basin. Urbanization in the southern source sub-basin of the Songhua River is balanced, relatively advanced, and stable compared to the whole Songhua River Basin. The average eccentric distance between the urbanization COGs in the Songhua River′s south source basin indicated rapid expansion of land urbanization during the span of this study. A basic pattern of urbanization COG in the whole Songhua Basin was observed, but there existed differences among the three aspects of urbanization process. Land urbanization is still in its active stage, so future studies should focus on analysis of such urbanization trends. 展开更多
关键词 URBANIZATION Songhua river basin southern source sub-basin of Songhua river center of gravity method eccentric distance
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钱塘江南源流域异常水质预测及影响因素分析
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作者 张兰 叶琪瑶 +1 位作者 李立 孙忠 《中国环境监测》 CAS CSCD 北大核心 2023年第S01期27-35,共9页
基于数据驱动的水质预测模型存在局限性,对突发水质异常事件的预测效果不佳。该研究选取钱塘江南源流域马戍口监测断面为研究对象,综合采用相关性分析方法对水质异常事件的主要影响因素进行分析,明确流域内、外因及土壤条件对水质异常... 基于数据驱动的水质预测模型存在局限性,对突发水质异常事件的预测效果不佳。该研究选取钱塘江南源流域马戍口监测断面为研究对象,综合采用相关性分析方法对水质异常事件的主要影响因素进行分析,明确流域内、外因及土壤条件对水质异常指标的影响程度,探究造成模型局限性的深层原因。结果表明:异常水质的影响因素及其耦合机制复杂多变,异常浊度受降雨量、径流量的直接影响更大,异常高锰酸盐指数与温度、降雨量相关关系更明显,而总磷、总氮的异常变化与相对湿度、降雨量、径流量具有相关关系。研究结果对于提高气候变化背景下的水质预报能力具有重要的参考价值,可为自然流域水污染防治提供科学参考。 展开更多
关键词 钱塘江南源流域 异常水质预测 影响因素 相关性分析 皮尔逊相关系数
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