森塔勒姆湖漫滩地区降雨和淹没模式的遥感识别

F. Setiawan, I. Ridwansyah, L. Subehi
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摘要

湿地是脆弱的自然栖息地,应予以保护,以保护鱼类和野生动物的栖息地,缓解洪水,改善水质,补充面积,并在干旱时期保持地表水的流动。水体和沼泽区是湿地的两个主要组成部分。考虑到它对生态系统的重要作用,森塔鲁姆湖被定为国家公园区域(森塔鲁姆湖国家公园- TNDS),印度尼西亚的15个国家重点湖泊;在印度尼西亚被指定为拉姆萨尔湿地(湿地公约)。尽管在生态系统中扮演着重要的角色,但由于其偏远的位置,提供Sentarum湖的湖泊特征仍然是一个挑战。本研究旨在识别森塔勒姆湖地区的降雨和淹没特征,并发展TNDS地区的降雨-淹没关系。首先,利用气候预报系统再分析(CFSR)数据进行降水分析。其次,我们利用联合研究中心(JRC)的基于遥感的全球地表水地图来描述历史上的淹没模式。第三,将归一化差水指数(NDWI)与修正归一化差水指数(MNDWI)结合,对选定的Landsat数据集进行淹没面积提取。最后,我们建立了TNDS地区的降雨-淹没关系。结果表明:TNDS地区年降雨量呈增加趋势,12月降水量最高,4月次之;历史Landsat数据显示,TNDS具有复杂的淹没模式。最大含水面积为649 km2,其中95 km2为永久含水面积(90>- 100%含水)。即使在旱季,这些地区也经常被洪水淹没。最重要的非永久性水为161 km2(80>- 90%的水含量)。这个永久和更大的临时水域为鱼类和其他水生生物提供了栖息地。它暂时储存了流经达旺河缓慢流入卡普亚斯河的水。我们捕获了空间淹没格局及其与时间区域降雨的关系。累积雨量与淹没面积的相关关系滞后-60 d (R2 = 0.48, n=11)。这些发现将为湖泊管理者和政策制定者提供有价值的数据,以保护森塔勒姆湖国家公园地区的生物区系和栖息地。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Rainfall and Inundation pattern using remotely sensed data in Lake Sentarum Floodplain Area
Wetlands are vulnerable natural habitats that should be preserved to protect habitat for fish and wildlife, flood mitigation, improve water quality, recharge area, and maintain surface water flow during dry periods. Water bodies and swamp areas are two primary components of the wetland. Considering its essential roles for the ecosystem, Lake Sentarum was set as a national park area (Lake Sentarum National Park – TNDS), Indonesia's 15 national priority lakes, and; designated as a Ramsar site (The Convention on Wetlands) in Indonesia. Despite the significant roles for the ecosystem, providing the limnological characteristic of Lake Sentarum remains a challenge due to its remote location. This study aims to identify the rainfall and inundation characteristics in the Lake Sentarum area and develop the rainfall-inundation relationship in the TNDS area. First, we carried out rainfall analysis using the Climate Forecast System Reanalysis (CFSR) data. Second, we utilized a remote-sensing-based global surface water map from the Joint Research Centre (JRC) to describe the historical inundation pattern. Third, we applied the Normalized Different Water Index (NDWI) combined with Modification Normalized Different Water Index (MNDWI) to the selected Landsat dataset to extract the inundation area. Finally, we developed a rainfall-inundation relationship in the TNDS area. The result indicated that the yearly rainfall in the TNDS area has an increasing trend, with the highest peak in December and the second peak in April. Historical Landsat data shows that the TNDS has a complex pattern of inundation. The maximum water extent was 649 km2, with a 95 km2 as permanent (90>- 100 % water occurrence). These areas were constantly flooded, even in the dry season. The most significant non-permanent water was 161 km2 (80>- 90 % water occurrence). This permanent and larger temporary water area provides fish and other aquatic biotas habitats. It temporarily stores the water flowing slowly into the River Kapuas through the Tawang River. We captured the spatial inundation pattern and its relationship with the temporal regional rainfall. The developed relationship showed a lag of -60 days of accumulated rainfall correlated with the inundation area (R2 of 0.48, n=11). These findings will thus provide valuable data for lake managers and policy-makers to protect the biota and habitat in Lake Sentarum National Park area.
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