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Using High-resolution Remote Sensing Images to Detect Freshwater Ecosystem Changes – a New Perspective of Different Ecosystem Types and Shapes
Water Resources Management ( IF 4.3 ) Pub Date : 2020-08-05 , DOI: 10.1007/s11269-020-02636-y
Chen Lin , Hao Cheng , Chi Zhang , Yang Zhang , Liangjie Wang

Area statistics of large lakes is the most concerned primary indicator in existing studies of freshwater ecosystem (FE) dynamics in watershed-dominated regions (WDRs). However, large lakes alone cannot represent the complete status of WDRs, and the dynamic changes of some smaller water types, such as rivers, pits, and streams, need to be given more attention. In order to capture more refined spatiotemporal features of multiple FE types and provide important basis of FE management, multi-temporal high spatial resolution remote sensing images (< 5 m) were used to capture more detailed FE information and change tendencies in Jianghuai Ecological and Economic Zone (JHEEZ). Despite that the general change of total FE area was less than 5% from 2015 to 2018, even though the change in lake areas was only 0.12%, some different and interesting findings can be observed from different FE types and their shapes. First, different lakes exhibited different change features. Hongze Lake, which is the largest lake in JHEEZ, remained stable in the last three years, while some relatively small lakes, such as Gaoyou Lake and Baima Lake, demonstrated much more dynamic and complicated transformations, especially represented in the locally-variations of lake shorelines. In particular, both notable transfer in (polder areas changed into lakes) and transfer out (areas occupied by construction land and forestland) features could be observed in Baima Lake, which was driven by integrated roles of the ‘retreating to lakes’ project and tourism development. Second, small ponds represent the most significant increasing tendency. More than 500 km2 of new ponds were observed, in which more than 80% were transferred from arable land. These new pond regions were mainly located in the lake storage area and in the suburbs of major cities. All of these findings indicate that, the sub-types of FE that have small areas and scattered distribution features are more likely to undergo more dynamic changes than those of large lakes. Therefore, in addition to the dynamics changes of large lakes and their boundaries, this study also contributes to a deeper understanding of multiple small FE types. Furthermore, it is beneficial to more accurate freshwater resources management.



中文翻译:

利用高分辨率遥感影像检测淡水生态系统变化-不同生态系统类型和形状的新视角

大流域面积统计是流域控制区(WDR)中现有淡水生态系统(FE)动态研究中最关注的主要指标。但是,仅大湖泊并不能代表WDR的完整状态,因此,应更加关注某些较小水类型(例如河流,矿坑和河流)的动态变化。为了捕获多种有限元类型的时空特征并提供重要的有限元管理基础,江淮生态经济区利用多时空高分辨率遥感影像(<5 m)捕获更多详细的有限元信息和变化趋势。区域(JHEEZ)。尽管从2015年到2018年,总FE面积的总体变化不到5%,尽管湖泊面积的变化仅为0.12%,从不同的有限元类型及其形状可以观察到一些不同而有趣的发现。首先,不同的湖泊表现出不同的变化特征。洪泽湖是江浙经济特区最大的湖泊,近三年来一直保持稳定,而一些相对较小的湖泊,例如高邮湖和白马湖,则表现出更加动态和复杂的变化,尤其表现在湖泊的局部变化中。海岸线。特别是在白马湖中,可以观察到显着的转移(将pol田地区转换为湖泊)和转移出的(由建设用地和林地占据的区域)特征,这是由“退湖”项目和旅游业的综合作用所驱动的。发展。第二,小池塘代表了最大的增长趋势。超过500公里 不同的湖泊表现出不同的变化特征。洪泽湖是江浙经济特区最大的湖泊,近三年来一直保持稳定,而一些相对较小的湖泊,例如高邮湖和白马湖,则表现出更加动态和复杂的变化,尤其表现在湖泊的局部变化中。海岸线。特别是在白马湖中,可以观察到显着的转移(将pol田地区转换为湖泊)和转移出的(由建设用地和林地占据的区域)特征,这是由“退湖”项目和旅游业的综合作用所驱动的。发展。第二,小池塘代表了最大的增长趋势。超过500公里 不同的湖泊表现出不同的变化特征。洪泽湖是江浙经济特区最大的湖泊,近三年来一直保持稳定,而一些相对较小的湖泊,例如高邮湖和白马湖,则表现出更加动态和复杂的变化,尤其表现在湖泊的局部变化中。海岸线。特别是在白马湖中,可以观察到显着的转移(将pol田地区转换为湖泊)和转移出的(由建设用地和林地占据的区域)特征,这是由“退湖”项目和旅游业的综合作用所驱动的。发展。第二,小池塘代表了最大的增长趋势。超过500公里 而一些相对较小的湖泊,例如高邮湖和白马湖,则表现出更加动态和复杂的变化,尤其表现在湖岸线的局部变化中。特别是在白马湖中,可以观察到显着的转移(将pol田地区转换为湖泊)和转移出的(由建设用地和林地占据的区域)特征,这是由“退湖”项目和旅游业的综合作用所驱动的。发展。第二,小池塘代表了最大的增长趋势。超过500公里 而一些相对较小的湖泊,例如高邮湖和白马湖,则表现出更加动态和复杂的变化,尤其表现在湖岸线的局部变化中。特别是在白马湖中,可以观察到显着的转移(将pol田地区转换为湖泊)和转移出的(由建设用地和林地占据的区域)特征,这是由“退湖”项目和旅游业的综合作用所驱动的。发展。第二,小池塘代表了最大的增长趋势。超过500公里 在“退湖”项目和旅游业发展的综合作用的驱使下,白马湖既有显着的转移(将areas田地区变为湖泊)又有明显的转移(由建设用地和林地占据的区域)特征。第二,小池塘代表了最大的增长趋势。超过500公里 在“退湖”项目和旅游业发展的综合作用的驱使下,白马湖既有显着的转移(将areas田地区变为湖泊)又有明显的转移(由建设用地和林地占据的区域)特征。第二,小池塘代表了最大的增长趋势。超过500公里观察到2个新池塘,其中80%以上是从耕地转移过来的。这些新的池塘地区主要位于湖泊存储区和主要城市的郊区。所有这些发现表明,与大湖相比,具有小面积和分散分布特征的FE亚型更可能经历更多的动态变化。因此,除了大型湖泊及其边界的动态变化外,本研究还有助于更深入地了解多种小型有限元类型。此外,有利于更精确的淡水资源管理。

更新日期:2020-08-05
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