首页|期刊导航|古地理学报|现代浅水三角洲分流河道宽度自动提取及沉积模式重构:以赣江三角洲为例

现代浅水三角洲分流河道宽度自动提取及沉积模式重构:以赣江三角洲为例OA

Automatic extraction of distributary channel width and reconstruction of sedimentary patterns in modern shallow-water deltas:a case study of Ganjiang Delta

中文摘要英文摘要

浅水三角洲河道网络结构复杂,以往分流河道形态表征研究中,缺乏河宽空间连续性定量化数据支撑.作者聚焦于河道形态参数的定量化表征,研究赣江三角洲分流河道宽度的空间连续变化特征,旨在为储集层构型研究提供河道宽度空间变化的约束条件,进而完善储集层构型表征方法体系.基于Google Earth Engine(GEE)大数据云计算平台,改进RivWidthCloud河宽提取算法,实现了赣江三角洲分流河道连续宽度数据的自动化提取,揭示浅水三角洲平原分流河道宽度的空间连续变化规律.结果表明:(1)算法优化后提取的河宽数据与实测值具有显著相关性(R2=0.84),验证了该方法在河道形态监测中的可靠性与适用性;(2)赣江主支河道宽度季节变幅显著(旱季平均河宽444.85 m,雨季平均河宽650.75 m,增幅46%),明显高于其他2条分流河道;(3)河道宽度与分汊频率呈显著空间耦合关系:分汊口上游段宽度急剧增加,分汊后次级河道宽度显著减小;(4)根据连续河道宽度曲线(即连续河宽数据点变化趋势线),向三角洲下游方向,分流河道宽度数据有整体降低趋势,但仍呈多级次波动的震荡变化;(5)70%的类心滩发育区呈现"滩头宽,滩颈窄,滩尾较宽"的宽度变化模式,对应河道宽度曲线表现为"高—低—较高"的三段式特征.连续河宽量化方法为现代三角洲沉积研究提供了新工具,其揭示的河道尺度变化规律可为分流河道规模的精细表征、储集层构型建模的几何约束及小尺度沉积相图编制提供定量依据.

The channel network structure of shallow delta is complex.In the previous studies on the morphological characterization of distributary channels,there was a lack of quantitative data support for the spatial continuity of river width.This paper focuses on the quantitative characterization of channel morphological parameters and studies the spatial continuous variation characteristics of the width of the distributary channels in the Ganjiang Delta,aiming to provide constraints on the spatial variation of channel width for reservoir configuration research,and then improve the reservoir configuration characterization method system.Based on the Google Earth Engine big data cloud computing platform,this paper improves the RivWidthCloud river width extraction algorithm,realizes the automated extraction of continuous width data of the Ganjiang Delta distributary channel,and reveals the spatial continuous variation law of the width of the distributary channel in the shallow delta plains.The results show that:(1)the river width data extracted after algorithm optimization have significant correlation with the measured values(R2=0.84),which verifies the reliability and applicability of this method in river morphology monitoring;(2)the seasonal variation of the width of the main branch of Gan River is significant(the average river width in the dry season is 444.85 m,and the average river width in the rainy season is 650.75 m,an increase of 46%),which is significantly higher than that of the other two tributary channels;(3)There is a significant spatial coupling relationship between channel width and bifurcation frequency:the width of the upstream section of the bifurcation mouth increases sharply,and the width of the secondary channel decreases significantly after bifurcation;(4)According to the continuous channel width curve(the trend line of continuous river width data points),the width data of the distributary channels has an overall decreasing trend towards the downstream of the delta,but still shows an oscillating change with multiple levels of fluctuations.(5)70%of the quasi-central-bar development areas present a width variation pattern of"wide beach head,narrow beach neck,and wider beach tail",and the corresponding river channel width curve shows a three-stage feature of"high-low-higher".The continuous river width quantification method provides a new tool for the study of modern delta sedimentation.The law of distributary channels scale variation revealed by it can provide a quantitative basis for fine characterization of the scale of distributary channels,geometric constraints for reservoir architecture modeling,compilation of small-scale sedimentary facies maps.

罗灿莹;张莉;闫占冬;张子尧;窦鲁星;邓帆;刘普鑫;张伟庆;吴晓明

长江大学地球科学学院,湖北武汉 430100长江大学地球科学学院,湖北武汉 430100中国石油长庆油田分公司第七采油厂,陕西西安 745000中国石油长庆油田分公司第二采油厂,甘肃庆城 745100长江大学资源与环境学院,湖北武汉 430100长江大学地球科学学院,湖北武汉 430100长江大学地球科学学院,湖北武汉 430100长江大学资源与环境学院,湖北武汉 430100中国石油长庆油田分公司第七采油厂,陕西西安 745000

天文与地球科学

Google Earth Engine(GEE)浅水三角洲分流河道RivWidthCloud算法储集层构型建模赣江三角洲

Google Earth Engine(GEE)shallow water deltadistributary channel widthRivWidthCloudreservoir architecture modelingGanjiang Delta

《古地理学报》 2026 (2)

828-842,15

国家自然科学基金青年科学基金项目(编号:42202177)资助.[Financially supported by Youth Science Fund Project of the National Nat-ural Science Foundation of China(No.42202177)]

10.7605/gdlxb.2026.013

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