Suppr超能文献

利用综合水文概率方法评估巴基斯坦潘杰科拉河流域的洪水风险及其空间评估。

Spatial appraisal of flood risk assessment and evaluation using integrated hydro-probabilistic approach in Panjkora River Basin, Pakistan.

机构信息

Department of Geography, Government College University, Lahore, Pakistan.

Department of Geography, University of Peshawar, Peshawar, Pakistan.

出版信息

Environ Monit Assess. 2019 Aug 17;191(9):573. doi: 10.1007/s10661-019-7746-z.

Abstract

Globally, flood is one of the devastating hydrometeorological disasters, causing human losses and damages to properties and infrastructure. There is a need to determine and geo-visualize flood risk to assist decision-making process for flood risk reduction. The current study is a local level pioneering attempt regarding the spatial appraisal of flood risk assessment and evaluation in Panjkora River Basin, eastern Hindu Kush. An integrated hydro-probabilistic approach is implemented by clubbing the results of Hydrologic Engineering Centre's River Analysis System (HEC-RAS) and Hydrologic Engineering Centre's Geographic River Analysis System (HEC-Geo-RAS) in geographic information system (GIS) environment. An Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) is used as input data to delineate the target basin and generation of river geometry. Hydraulic and hydrological data were used to estimate and geo-visualize vertical profile and spatial extent of various floods in the active floodplain of Panjkora River. Gumbel's frequency distribution model is applied in analyzing daily peak discharge recorded during the past 32 years, and 200-year flood magnitude (1392m/sec), probable inundation (45.5 km), and vertical profile (19 m) are modeled. Analysis revealed that likelihood of such flood has increased the risk of potential damages to roads (46 km), retaining walls (49 km), bridges (16), and culverts (46). The analysis further revealed that built-up area (10.4 km) and agricultural land (20.2 km) will also come under flood with life loss. The resultant flood risk zones and spatial appraisal will definitely help in bringing down the probable flood damages. Similarly, current study has potential to assist disaster managers, hydraulic engineers, and policy makers to understand the flood risk and implement location-specific effective flood risk reduction strategies.

摘要

在全球范围内,洪水是破坏性水文气象灾害之一,会造成人员伤亡和财产以及基础设施的损失。有必要确定并地理可视化洪水风险,以协助洪水风险降低的决策过程。本研究是关于潘杰科拉河流域(东兴都库什)洪水风险评估和评价的空间评估的一项地方层面的开创性尝试。在地理信息系统(GIS)环境中,通过结合水文工程中心河流分析系统(HEC-RAS)和水文工程中心地理河流分析系统(HEC-Geo-RAS)的结果,实施了一种综合的水文概率方法。高级星载热发射和反射辐射计(ASTER)全球数字高程模型(GDEM)被用作输入数据来划定目标流域并生成河流几何形状。水力和水文数据用于估计和地理可视化潘杰科拉河活动洪泛区各种洪水的垂直剖面和空间范围。应用耿贝尔频率分布模型分析过去 32 年记录的日峰值流量,并对 200 年一遇洪水规模(1392m/sec)、可能淹没(45.5km)和垂直剖面(19m)进行建模。分析表明,这种洪水发生的可能性增加了道路(46km)、挡土墙(49km)、桥梁(16 座)和涵洞(46 座)遭受潜在破坏的风险。分析进一步表明,建成区(10.4km)和农业用地(20.2km)也将受到洪水影响,造成生命损失。洪水风险区的产生和空间评估肯定有助于降低可能发生的洪水破坏。同样,当前的研究有潜力帮助灾害管理者、水力工程师和政策制定者了解洪水风险,并实施具有特定位置的有效洪水风险降低策略。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验