• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

基于雷达干涉测量、测高和大地测量的埃及尼罗河三角洲环境风险评估。

Environmental risk assessment of the Nile Delta, Egypt, based on radar interferometry, altimetry, and geodetic measurements.

作者信息

Hassan Soha, Saleh Mohamed, Mohamed Bayoumy, Elhebiry Mohamed S, Abdeldayem Abdelaziz, Issawy Elsayed, Zahran Khaled, Kamh Samir

机构信息

Department of Geodynamics, National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, 11421, Egypt.

GeoHydrodynamics and Environment Research (GHER), University of Liege, Liege, Belgium.

出版信息

Sci Rep. 2025 Jun 1;15(1):19209. doi: 10.1038/s41598-025-03831-w.

DOI:10.1038/s41598-025-03831-w
PMID:40451880
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12127481/
Abstract

Egypt is confronted with a number of hazardous environmental incidents, mainly sea level rise (SLR) and land subsidence. The Nile Delta is a low-relief surface that is particularly vulnerable to flooding and SLR, making it important to study inundation scenarios for the region. Potential social and economic consequences of this anticipated sea encroachment were projected utilizing (1) crustal deformation calculations derived from the time series analysis using the Persistent Scatterer Interferometry (PSI) technique based on Least Squares Estimation. (a stack of 191 Sentinel-1 ascending scenes), and eight permanent stations of Global Navigation Satellite System (GNSS); both spanning the period 2014-2019, (2) SLR values using Satellite Altimetry, and (3) a high-resolution digital elevation model (TerraSAR-X/TanDEM-X). The The key findings of this study are summarized as follows; (1) large cities and urban regions adjacent to the two main active branches of the Nile Delta (Rosetta and Damietta) experienced the majority of subsidence rates, (2) the cities of Damietta, Mansoura and Port said (eastern side of the Nile Delta) experienced the maximum rates of subsidence (- 11 ± 0.6, - 8.9 ± 0.7, and - 6.3 ± 0.7 mm/year, respectively), (3) the cities of Shebin El Kom, Damanhour, Tanta, New-Damietta, Kafr El-Sheikh had moderate subsidence rates (- 3.2 ± 0.6, - 2.4 ± 0.7, - 4.2 ± 0.6, - 3.8 ± 0.7, - 3.2 ± 0.7 mm/year, respectively), (4) the Nile Delta subsidence seems to be dominated by anthropogenic reasons such as urbanization, ground water and hydrocarbon extraction, (5) the linear trend of sea level anomaly (SLA) from satellite altimetry data over the period from 1993 to 2019 along the Delta shoreline, the SLR is ~ 3.42 ± 0.5 mm/year, and (6) based on GIS tools and IDW interpolation, wide swaths of the northern Nile Delta would be flooded in the worst-case scenario, which would result in approximately 482 km being flooded in fifty years, 2433 km in one hundred years, and 3320 km in one hundred and fifty years due to the ongoing land subsidence and SLR of 3.4 mm/year.

摘要

埃及面临着一些危险的环境事件，主要是海平面上升和地面沉降。尼罗河三角洲地势低洼，特别容易受到洪水和海平面上升的影响，因此研究该地区的淹没情况很重要。利用以下方法预测了这种预期的海水入侵可能带来的社会和经济后果：（1）基于最小二乘法估计，使用持久散射体干涉测量（PSI）技术从时间序列分析中得出的地壳变形计算结果（一组191个哨兵-1升轨场景），以及全球导航卫星系统（GNSS）的八个永久站点；两者均涵盖2014 - 2019年期间，（2）使用卫星测高法得到的海平面上升值，以及（3）一个高分辨率数字高程模型（TerraSAR-X/TanDEM-X）。本研究的主要发现总结如下：（1）尼罗河三角洲两个主要活跃分支（罗塞塔和达米埃塔）附近的大城市和城市区域沉降率最高，（2）达米埃塔、曼苏拉和塞得港（尼罗河三角洲东侧）的城市沉降率最高（分别为-11±0.6、-8.9±0.7和-6.3±0.7毫米/年），（3）谢宾库姆、达曼胡尔、坦塔、新达米埃塔、卡夫尔谢赫的城市沉降率适中（分别为-3.2±0.6、-2.4±0.7、-4.2±0.6、-3.8±0.7、-3.2±0.7毫米/年），（4）尼罗河三角洲的沉降似乎主要是由城市化、地下水和油气开采等人为原因造成的，（5）1993年至2019年期间沿三角洲海岸线的卫星测高数据显示的海平面异常（SLA）线性趋势，海平面上升速率约为3.42±0.5毫米/年，（6）基于地理信息系统（GIS）工具和反距离加权（IDW）插值法，在最坏的情况下，尼罗河三角洲北部的大片地区将被淹没，由于持续的地面沉降和每年3.4毫米的海平面上升，五十年内约482公里将被淹没，一百年内2433公里，一百五十年内3320公里。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/0bebacda3d3c/41598_2025_3831_Fig20_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/ac12743ad96e/41598_2025_3831_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/5b9270d67014/41598_2025_3831_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/c18a3c390fd5/41598_2025_3831_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/219386597c5d/41598_2025_3831_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/faf6f276c53a/41598_2025_3831_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/cb7d9a0fbfc9/41598_2025_3831_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/236d1b536466/41598_2025_3831_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/e63ab10b2541/41598_2025_3831_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/a4566cac5cf1/41598_2025_3831_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/e3f49e6a96d7/41598_2025_3831_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/35c1f04f9c8f/41598_2025_3831_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/9a240c807871/41598_2025_3831_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/52fe62434feb/41598_2025_3831_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/58fca834ce59/41598_2025_3831_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/54ba28b80740/41598_2025_3831_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/9df923499014/41598_2025_3831_Fig16_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/8e607d704562/41598_2025_3831_Fig17_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/1ab08e671ed6/41598_2025_3831_Fig18_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/0bebacda3d3c/41598_2025_3831_Fig20_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/ac12743ad96e/41598_2025_3831_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/5b9270d67014/41598_2025_3831_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/c18a3c390fd5/41598_2025_3831_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/219386597c5d/41598_2025_3831_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/faf6f276c53a/41598_2025_3831_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/cb7d9a0fbfc9/41598_2025_3831_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/236d1b536466/41598_2025_3831_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/e63ab10b2541/41598_2025_3831_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/a4566cac5cf1/41598_2025_3831_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/e3f49e6a96d7/41598_2025_3831_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/35c1f04f9c8f/41598_2025_3831_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/9a240c807871/41598_2025_3831_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/52fe62434feb/41598_2025_3831_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/58fca834ce59/41598_2025_3831_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/54ba28b80740/41598_2025_3831_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/9df923499014/41598_2025_3831_Fig16_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/8e607d704562/41598_2025_3831_Fig17_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/1ab08e671ed6/41598_2025_3831_Fig18_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619e/12127481/0bebacda3d3c/41598_2025_3831_Fig20_HTML.jpg

相似文献

1
Environmental risk assessment of the Nile Delta, Egypt, based on radar interferometry, altimetry, and geodetic measurements.基于雷达干涉测量、测高和大地测量的埃及尼罗河三角洲环境风险评估。
Sci Rep. 2025 Jun 1;15(1):19209. doi: 10.1038/s41598-025-03831-w.
2
Inferencing the land subsidence in the Nile Delta using Sentinel-1 satellites and GPS between 2015 and 2019.利用 Sentinel-1 卫星和 GPS 于 2015 年至 2019 年对尼罗河三角洲的地面沉降进行推断。
Sci Total Environ. 2020 Aug 10;729:138868. doi: 10.1016/j.scitotenv.2020.138868. Epub 2020 Apr 23.
3
Investigation of potential sea level rise impact on the Nile Delta, Egypt using digital elevation models.利用数字高程模型研究海平面上升对埃及尼罗河三角洲的潜在影响。
Environ Monit Assess. 2015 Oct;187(10):649. doi: 10.1007/s10661-015-4868-9. Epub 2015 Sep 27.
4
Vulnerability of the Nile Delta coastal areas to inundation by sea level rise.尼罗河三角洲沿海地区易受海平面上升影响。
Environ Monit Assess. 2013 Aug;185(8):6607-16. doi: 10.1007/s10661-012-3050-x. Epub 2012 Dec 29.
5
Sea level trends along the South African coast from 1993 to 2022 using XTRACK altimetry, tide gauges, and GNSS measurements.利用XTRACK测高、验潮仪和全球导航卫星系统测量数据得出的1993年至2022年南非海岸海平面趋势。
Sci Rep. 2025 Feb 10;15(1):4946. doi: 10.1038/s41598-025-89258-9.
6
Sentinel-1A for monitoring land subsidence of coastal city of Pakistan using Persistent Scatterers In-SAR technique.利用永久散射体干涉合成孔径雷达技术监测巴基斯坦沿海城市地面沉降的 Sentinel-1A。
Sci Rep. 2022 Mar 28;12(1):5294. doi: 10.1038/s41598-022-09359-7.
7
Temporal gravimetry, campaign and permanent GNSS, and interferometric radar techniques: A comparative approach to quantifying land deformation rates in coastal Texas.时间重力测量、动态和永久全球导航卫星系统以及干涉雷达技术：一种量化德克萨斯州沿海地区土地变形速率的比较方法。
Sci Total Environ. 2024 Dec 15;956:177280. doi: 10.1016/j.scitotenv.2024.177280. Epub 2024 Nov 8.
8
Water level changes, subsidence, and sea level rise in the Ganges-Brahmaputra-Meghna delta.恒河-布拉马普特拉-梅克纳三角洲的水位变化、沉降和海平面上升。
Proc Natl Acad Sci U S A. 2020 Jan 28;117(4):1867-1876. doi: 10.1073/pnas.1912921117. Epub 2020 Jan 6.
9
Time-varying land subsidence detected by radar altimetry: California, Taiwan and north China.利用雷达测高法探测到的时变地面沉降：加利福尼亚、台湾和中国北方地区。
Sci Rep. 2016 Jun 21;6:28160. doi: 10.1038/srep28160.
10
GNSS land subsidence observations along the northern coastline of Java, Indonesia.印度尼西亚爪哇岛北部沿海地区的 GNSS 地面沉降观测。
Sci Data. 2023 Jul 1;10(1):421. doi: 10.1038/s41597-023-02274-0.

本文引用的文献

1
Multi-decadal assessment of water budget and hydrological extremes in the Tigris-Euphrates Basin using satellites, modeling, and in-situ data.利用卫星、建模和实地数据对底格里斯-幼发拉底河流域的水量平衡和水文极值进行数十年评估。
Sci Total Environ. 2021 Apr 20;766:144337. doi: 10.1016/j.scitotenv.2020.144337. Epub 2020 Dec 25.
2
Inferencing the land subsidence in the Nile Delta using Sentinel-1 satellites and GPS between 2015 and 2019.利用 Sentinel-1 卫星和 GPS 于 2015 年至 2019 年对尼罗河三角洲的地面沉降进行推断。
Sci Total Environ. 2020 Aug 10;729:138868. doi: 10.1016/j.scitotenv.2020.138868. Epub 2020 Apr 23.
3
Monitoring of pesticides water pollution-The Egyptian River Nile.
农药水污染监测——埃及尼罗河
J Environ Health Sci Eng. 2016 Oct 7;14:15. doi: 10.1186/s40201-016-0259-6. eCollection 2016.
4
Investigation of potential sea level rise impact on the Nile Delta, Egypt using digital elevation models.利用数字高程模型研究海平面上升对埃及尼罗河三角洲的潜在影响。
Environ Monit Assess. 2015 Oct;187(10):649. doi: 10.1007/s10661-015-4868-9. Epub 2015 Sep 27.
5
Vulnerability of the Nile Delta coastal areas to inundation by sea level rise.尼罗河三角洲沿海地区易受海平面上升影响。
Environ Monit Assess. 2013 Aug;185(8):6607-16. doi: 10.1007/s10661-012-3050-x. Epub 2012 Dec 29.
6
Nile delta: recent geological evolution and human impact.尼罗河三角洲：近期地质演化与人类影响
Science. 1993 Apr 30;260(5108):628-34. doi: 10.1126/science.260.5108.628.
7
Subsidence in the northeastern nile delta: rapid rates, possible causes, and consequences.尼罗河三角洲东北部的沉降：快速速率、可能的原因和后果。
Science. 1988 Apr 22;240(4851):497-500. doi: 10.1126/science.240.4851.497.
8
Links between climate and sea levels for the past three million years.过去三百万年里气候与海平面之间的联系。
Nature. 2002 Sep 12;419(6903):199-206. doi: 10.1038/nature01089.