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DEM数据因包含丰富的地形地貌、流域及水文等信息和参数,非常适合计算机进行描述和数字化提取[1-2]。通过学者们对数字河网提取方法[3-6]、提取精度[7-9]等的不断研究,基于DEM提取数字河网已经发展为一种简便而快捷的技术手段[1,10-14],广泛应用于水文[15-16]、流域[17-18]等很多方面。成都市作为全国公园城市首提地和先行区,在新一轮城市总规中制定了“以水定人、以地定城、以气定形”的“三定”发展思路,水被列为城市规划首要因素,直接决定了城市的人口规模和分布格局。而河网水系作为水资源的重要载体,深刻影响着水资源的分布格局及水生态健康,然而目前成都市的数字河网专题研究基本未见报道。因此,厘清成都市河网水系数量特征及空间分布格局,对于助力成都新一轮城市规划,合理分配与科学保护水资源,维护水生态健康和水安全,保障美丽宜居公园城市生态建设具有非常重要的价值和意义。
Study on Characteristics and Spatial Distribution Pattern of Digital River Network in Chengdu Based on DEM
doi: 10.12172/202108270001
- Received Date: 2021-08-27
- Available Online: 2022-03-14
- Publish Date: 2022-06-09
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Key words:
- DEM /
- Chengdu city /
- River network density /
- Meander coefficient
Abstract: In order to comprehensively clarify the river network characteristics and spatial distribution pattern, and assist the urban planning and construction of beautiful and livable park city in Chengdu. Based on 30 m resolution raster DEM data, the digital river network was extracted and its characteristics and spatial distribution patterns were discussed The results showed that the threshold value of the optimal catchment area for river network extraction in Chengdu was 7.02 km2, with a total river network of 5 levels and a total river length of 4949.75 km, among which 71.30% were healthy meandering rivers. The average river network density of the whole city was 0.35 km/km2, and the average river meander coefficient was 1.39. The quantitative characteristics of river networks in different basins and geomorphic types showed different degrees of difference. The spatial distribution of river network in the whole city increased with the increase of river network level, and the aggregation degree also increased. The curved river channel was more widely distributed and more uniform than the straight river channel. The evenness of river network distribution in Minjiang river basin in west was higher than that in Tuojiang river basin in northeast. Under different geomorphic types, the density of river network was the most dense in plain, followed by hills and mountains.