河网密度与水体空间分布多样性的对比研究  被引量:4

Comparative study on drainage density and water spatial distribution diversity

在线阅读下载全文

作  者:段金龙[1,2] 任圆圆[1] 张学雷[1] 

机构地区:[1]郑州大学自然资源与生态环境研究所,河南郑州450001 [2]河南工业大学信息科学与工程学院,河南郑州450001

出  处:《河南农业大学学报》2015年第1期95-100,共6页Journal of Henan Agricultural University

基  金:国家自然科学基金资助项目(41171177)

摘  要:以河南省和江苏省的典型区域为例,比较了地表水资源的分布特征评价中广泛使用的河网密度法和1种最新的基于仙农熵的水体空间分布多样性法,计算了各研究区及其分区域内的河网密度值和1 km网格尺度下的水体空间分布多样性,并探索了两者之间的联系与异同。研究表明,样区内水体表面积与河流总长度之间存在一定程度的正相关;在评价湖泊、水库等大规模面状水体类型时,水体多样性的表现明显优于河网密度;当研究区面积相等时,河网密度值与水体空间分布多样性之间的联系视研究区内地表水资源性质而定,在湖泊稀缺地区,两者之间一般呈明显的正相关关系,判定系数R2达到0.5以上,在湖泊富集地区,两者之间一般呈明显的负相关关系,如苏州市达到0.9以上。Typical research areas of Henan and Jiangsu Province are selected for a correlative analysis between the traditional drainage density methodology and a new water body diversity methodology based on modified Shannon entropy. The correlative analysis is conducted to explore the difference and simi- larity between the above two factors after the drainage density and water body diversity in 1 km grid of each research area and subarea are calculated. The results show that there is a degree of positive rela- tionship between the surface water area and the total river length in the research areas. The water body diversity acts better than drainage density in the evaluation of surface water with large area such as lakes and reservoirs. When the study areas are equal, the relationship between drainage density and water body diversity depends on the characteristics of surface water of each research area, for instance, there is a positive relationship between them in the lake scarce regions with the coefficient of determi- nation (R^2) of more than 0.5 in Henan province but a negative relationship in the lake-rich regions with R^2 of more than 0.9 in Suzhou city.

关 键 词:多样性 空间分布 河网密度 地表水资源 

分 类 号:K928.4[历史地理—人文地理学] P344[天文地球—水文科学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象