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Flood damage assessment using HEC-FDA software in shoor watershed, Esfahan, Iran 使用 HEC-FDA 软件评估伊朗伊斯法罕 Shoor 流域的洪水损失
IF 1.827 Q2 Earth and Planetary Sciences Pub Date : 2024-05-25 DOI: 10.1007/s12517-024-11990-9
Hoda Tamizi, Saeed Soltani Koupaei

Flood damage assessment is essential for the economic analysis of flood risk management in municipal and agricultural areas. In order to develop effective flood risk management plans, it is essential to have reliable flood damage models. This study aims to assess the economic losses caused by flood in the Shoor watershed, Esfahan, Iran, in April 2019. A digital elevation model (DEM) with a resolution of 1:1000 has been used to generate the river geometric cross-sections in HEC-GeoRAS software, and the inundation maps and vulnerable areas were specified by HEC-RAS software. Based on the results of this step, the HEC-FDA software has been employed to assess agricultural and municipal financial damage. The Monte-Carlo method was utilized to estimate Expected Annual Damage (EAD) based on vulnerability curves. Although HEC-FDA is primarily developed for estimating municipal damage, it was used to assess damage to agriculture indirectly by incorporating agricultural characteristics into the software. Results indicate that in the Shoor watershed, total losses were estimated about $517.800 in April 2019, mainly in agricultural classes. In this regard, the Damage-Reach No. 7 (D.R.7) experienced the highest economic losses with approximately about $317.000, while D.R.6 had the lowest amount of economic losses, with only about $16.900. These results show 84% compliance and correctness of our study results with the amount of damage caused by this flood in April 2019, which was about $440,000. Also, the results showed that discharge estimation with different return periods by HEC-FDA has high accuracy and is within the range of 5 to 95% confidence interval. Therefore, this watershed is relatively affected by floods and has noticeable economic losses. This study also could be beneficial for decision-makers in making decisions in flood management and reducing flood economic losses.

洪水损失评估对于城市和农业地区洪水风险管理的经济分析至关重要。为了制定有效的洪水风险管理计划,必须建立可靠的洪水损失模型。本研究旨在评估 2019 年 4 月伊朗伊斯法罕 Shoor 流域洪水造成的经济损失。使用分辨率为 1:1000 的数字高程模型 (DEM) 在 HEC-GeoRAS 软件中生成河流几何横断面,并通过 HEC-RAS 软件指定淹没地图和易受影响区域。在此基础上,使用 HEC-FDA 软件评估农业和市政经济损失。采用蒙特卡洛法根据易损性曲线估算预期年损失(EAD)。虽然 HEC-FDA 主要是为估算市政损失而开发的,但通过将农业特征纳入软件,它也被用于间接评估农业损失。结果表明,在肖尔流域,2019 年 4 月的总损失估计约为 517 800 美元,主要是农业损失。其中,第 7 号损毁区(D.R.7)的经济损失最高,约为 317.000 美元,而第 6 号损毁区的经济损失最低,仅为 16.900 美元。这些结果表明,我们的研究结果与 2019 年 4 月这场洪水造成的损失金额(约 44 万美元)的符合度和正确性达到了 84%。同时,研究结果表明,HEC-FDA 对不同重现期的排水量估算具有较高的准确性,且在 5% 至 95% 的置信区间范围内。因此,该流域受洪水影响相对较大,经济损失明显。这项研究也有助于决策者在洪水管理和减少洪水经济损失方面做出决策。
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引用次数: 0
Development of SPT-N60 and USCS-based soil type zonation maps for Dhaka Metropolitan Development Plan (DMDP) Area, Bangladesh 为孟加拉国达卡大都市发展计划(DMDP)地区绘制基于 SPT-N60 和 USCS 的土壤类型区划图
IF 1.827 Q2 Earth and Planetary Sciences Pub Date : 2024-05-25 DOI: 10.1007/s12517-024-11998-1
Md. Shafiqur Rahman, Mehedi Ahmed Ansary

This research paper has presented Unified Soil Classification System (USCS)–based soil type and Standard Penetration Test (SPT) N60–based zonation maps in the Dhaka Metropolitan Development Plan (DMDP) area of Bangladesh. For this purpose, 360 borehole data have been collected from different parts of the DMDP area. The data were analyzed in ArcGIS 10.5 using Ordinary Kriging and Inverse Distance Weighting (IDW) interpolation techniques. The spatial Analyst, Ordinary Kriging method, has demonstrated better results for SPT-N60-based, and IDW has provided superior outcomes of the USCS-based soil type zonation maps. This study has developed 13 SPT-N60-based and USCS soil-type zonation maps for the DMDP area at 1.5 to 19.5 m depth. To assess the reliability of the zonation map, SPT-N60 values and USCS soil classification, acquired through field tests at 10 locations (depths: 1.5 to 19.5 m), were compared with anticipated SPT-N60 values and USCS soil type at exact coordinates in the developed zonation maps. The root mean square error (RMSE) for the SPT-N60 zonation maps was 8.29 blows, and the coefficient of determination (R2) was 0.688. The comparison shows a correlation coefficient of 0.82. For USCS soil-type zonation maps, 55.81% of the field-validated data fully matched the model-anticipated USCS zonation maps data. The generated zonation maps in this research will help to understand the subsurface condition and geotechnical characteristics of soils in the DMDP area. This data will also help engineers to create an initial foundation layout for a new site using the existing data from the nearby locations.

本研究论文介绍了孟加拉国达卡大都市发展计划(DMDP)地区基于统一土壤分类系统(USCS)的土壤类型和基于标准渗透测试(SPT)N60 的分区图。为此,从 DMDP 地区的不同地方收集了 360 个钻孔数据。数据在 ArcGIS 10.5 中使用普通克里金法和反距离加权(IDW)插值技术进行分析。空间分析师普通克里金法对基于 SPT-N60 的分析结果较好,而 IDW 则为基于 USCS 的土壤类型区划图提供了更好的结果。本研究为 DMDP 地区绘制了 13 幅基于 SPT-N60 和 USCS 的 1.5 至 19.5 米深度土壤类型区划图。为了评估分区图的可靠性,将在 10 个地点(深度:1.5 至 19.5 米)通过实地测试获得的 SPT-N60 值和 USCS 土壤分类与所绘制分区图中准确坐标处的预期 SPT-N60 值和 USCS 土壤类型进行了比较。SPT-N60 分区图的均方根误差 (RMSE) 为 8.29 倍,判定系数 (R2) 为 0.688。比较显示相关系数为 0.82。对于 USCS 土壤类型区划图,55.81% 的实地验证数据完全符合模型预期的 USCS 区划图数据。本研究生成的分区图有助于了解 DMDP 地区土壤的地下状况和岩土特性。这些数据还将帮助工程师利用附近地点的现有数据为新地块创建初始地基布局。
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引用次数: 0
Assessment and detection of biotic and abiotic stresses in field crops through remote and proximal sensing techniques—evidence from earlier findings 通过遥感和近距离传感技术评估和检测大田作物的生物和非生物胁迫--早期发现的证据
IF 1.827 Q2 Earth and Planetary Sciences Pub Date : 2024-05-24 DOI: 10.1007/s12517-024-11993-6
S. S. Dhaliwal, Vivek Sharma, Yashbir Singh Shivay, Rajeev Kumar Gupta, Vibha Verma, Manmeet Kaur, Shahida Nisar, Mohammad Amin Bhat, A. Hossain
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引用次数: 0
Petrographic and mechanical study of aggregates from Central Chad: a case for natural selection of hard rocks 对乍得中部聚合体的岩相学和力学研究:坚硬岩石的自然选择案例
IF 1.827 Q2 Earth and Planetary Sciences Pub Date : 2024-05-24 DOI: 10.1007/s12517-024-11984-7
Hamid Zagalo Al-hadj, Pierre Rochette, Annour Birké Allafouza
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引用次数: 0
Segregation test—a standardisable test for suffusion assessment of granular soils 离析试验--用于粒状土窒息评估的标准化试验
IF 1.827 Q2 Earth and Planetary Sciences Pub Date : 2024-05-23 DOI: 10.1007/s12517-024-11988-3
Peter To, Soo Vang, Shenese Dempsey, Jayden van Donderen-Livock, Rico Saayman
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引用次数: 0
Potential risk of organochlorine regulation limits in Brazilian soils 巴西土壤中有机氯规定限值的潜在风险
IF 1.827 Q2 Earth and Planetary Sciences Pub Date : 2024-05-22 DOI: 10.1007/s12517-024-11995-4
Alice Pereira Lourenson, Fernanda Oliveira Reis, Érico Kunde Corrêa, F. M. R. da Silva Júnior
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引用次数: 0
Climate change vulnerability of Kuwait: a cross-sectoral assessment 科威特的气候变化脆弱性:跨部门评估
IF 1.827 Q2 Earth and Planetary Sciences Pub Date : 2024-05-20 DOI: 10.1007/s12517-024-11992-7
M. Alsahli, Dhary S. Alkandary
{"title":"Climate change vulnerability of Kuwait: a cross-sectoral assessment","authors":"M. Alsahli, Dhary S. Alkandary","doi":"10.1007/s12517-024-11992-7","DOIUrl":"https://doi.org/10.1007/s12517-024-11992-7","url":null,"abstract":"","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":null,"pages":null},"PeriodicalIF":1.827,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141122514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing survey field data with artificial intelligence: a real-time kinematic GPS study 利用人工智能增强实地调查数据:实时运动学 GPS 研究
IF 1.827 Q2 Earth and Planetary Sciences Pub Date : 2024-05-20 DOI: 10.1007/s12517-024-11989-2
D. Asenso-Gyambibi, Joseph Agyei Danquah, E. K. Larbi, M. S. Peprah, N. L. Quaye-Ballard
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引用次数: 0
Application of electrical and electromagnetic data to delineate shallow aquifer zones: a case study of Vea catchment, Ghana 应用电学和电磁学数据划分浅含水层区:加纳 Vea 流域案例研究
IF 1.827 Q2 Earth and Planetary Sciences Pub Date : 2024-05-18 DOI: 10.1007/s12517-024-11987-4
Collins Okrah, Emmanuel K. Appiah-Adjei, Frederick Owusu-Nimo, William A. Agyekum

Access to groundwater for use in semi-arid regions is costly due to consistent failures in borehole drilling programs attributable to either a survey not carried out before drilling or incorrectly interpreted geophysical results. Thus, this study aims at delineating the geometry of the shallow weathered crystalline basement aquifer of the Vea catchment, northern Ghana, to aid in the assessment of its groundwater storage potential. Integrated electromagnetic and electrical resistivity surveys within the study area and borehole logs were integrated to delineate the aquifer zones of the study area. The study results revealed the interface between the bedrock and the overlying weathered subsurface as the most transmissive aquifer zone, with the saturated weathered subsurface making up 90% of the total volume of aquifers in the subsurface. The aquifer material in this zone predominantly includes varying proportions of sandy clay and weathered granite, with apparent resistivity ranging from 100 to 500 Ωm in the subsurface. Also, the results indicated that the weathered bedrock interface is irregular, and the water strike zone of the shallow aquifer in the weathered zone mimics the water table and the landscape of the area. Therefore, the study findings could improve the success rate of borehole drilling within the catchment and similar geological terrains.

在半干旱地区,由于钻井前未进行勘测或地球物理结果解释有误,导致钻井计划不断失败,因此获取地下水的成本很高。因此,本研究旨在划定加纳北部维阿集水区浅层风化结晶基底含水层的几何形状,以帮助评估其地下水储存潜力。研究区域内的电磁和电阻率综合勘测与钻孔记录相结合,划定了研究区域的含水层区域。研究结果显示,基岩与上覆风化亚表层之间的界面是透水性最强的含水层区,饱和风化亚表层占亚表层含水层总体积的 90%。该区的含水层物质主要包括不同比例的砂质粘土和风化花岗岩,表观电阻率在地下 100 至 500 Ωm 之间。此外,研究结果表明,风化基岩界面不规则,风化带浅含水层的水走向区与该地区的地下水位和地貌相似。因此,研究结果可提高在集水区和类似地质地形进行钻孔的成功率。
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引用次数: 0
Sedimentologic characteristics and correlations of coastal plain sand and alluvium deposits within Lagos environs southwestern Nigeria 尼日利亚西南部拉各斯环境中沿海平原砂和冲积沉积的沉积特征和相关性
IF 1.827 Q2 Earth and Planetary Sciences Pub Date : 2024-05-17 DOI: 10.1007/s12517-024-11968-7
Rawlings Opeyemi Ogunleye, Motunrayo Mary Oluwakuse, Johnson Ajidahun, Temitayo Olamide Ale, Adefemi Oluwakuse
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Arabian Journal of Geosciences
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