Environmental Earth Sciences最新文献

{"title":"A holistic water quality risk assessment and key parameter identification approach coupling comparative water quality index (WQI) models: a six-year monitoring study in Danjiangkou Reservoir, China","authors":"Xizhi Nong,&nbsp;Xianjie Yi,&nbsp;Lihua Chen,&nbsp;Jiahua Wei","doi":"10.1007/s12665-024-11873-y","DOIUrl":"10.1007/s12665-024-11873-y","url":null,"abstract":"<div><p>The Danjiangkou Reservoir (DJKR), the source of the world’s longest inter-basin water diversion, the Middle Route of the South-to-North Water Diversion Project (MRSNWDPC), has attracted global attention for its water quality. This study collected water samples monthly from 31 monitoring sites between January 2017 and December 2022, assessing 18 water quality parameters. Multivariate statistical methods and five water quality index (WQI) models were employed to comprehensively evaluate water quality, optimizing critical parameter identification and enhancing the predictive reliability of water quality changes. Compared to traditional WQI approaches, our method offers improved accuracy in assessing water quality variations and risks. The findings reveal that the tributary river systems were classified by pollution degree, while reservoirs were categorized based on adjacent geographical locations. WQI values in the Danjiangkou Reservoir basin ranged from 82.70 to 91.24, indicating that the water quality was consistently “good” to “excellent”. Key water quality indicators, i.e., ammonia nitrogen (NH₃-N), permanganate index (COD_Mn), dissolved oxygen (DO), chemical oxygen demand (COD), total phosphorus (TP), and total nitrogen (TN), and heavy metals, i.e., selenium (Se), copper (Cu), mercury (Hg), and cadmium (Cd), were used to construct WQI_min models for different clusters. These models demonstrated explanatory solid power for evaluating water quality (<i>R</i>^<i>2</i> &gt; 0.9). Four weighting methods—equal weight, rank sum, rank reciprocal, and rank order centroid—were applied to determine the WQI_min and WQI models. The results identified equal weight as the optimal WQI_min model construction method. The carcinogenic risks of chromium (Cr) and arsenic (As) ranged from 4.03 × 10^–5 to 4.66 × 10^–5, within the acceptable level of 1 × 10^–4 to 1 × 10^–6. The hazard quotients for all heavy metals were below \"1\", and non-carcinogenic risks were higher for children than for adults. Overall, the heavy metals in DJKR presented no significant human health risks. After the MRSNWDPC became fully operational, the DJKR maintained excellent water quality, with the reservoir's water deemed safe for drinking and other uses. This study provides a scientific basis for managing water quality in DJKR and other large-scale hydroengineering projects.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 20","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142411219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Probabilistic seismic hazard assessment of Delhi (National Capital Region) and its adjoining region, India","authors":"Rajiv Kumar,&nbsp;R. B. S. Yadav,&nbsp;Himanshu Mittal,&nbsp;Atul Saini,&nbsp;O. P. Mishra","doi":"10.1007/s12665-024-11895-6","DOIUrl":"10.1007/s12665-024-11895-6","url":null,"abstract":"<div><p>Over the past decade, the Delhi (National Capital Region, NCR) has witnessed significant growth and has emerged as a vital center for commerce and education. This rapid urbanization owes itself to its strategic location, connecting important cities like Gurugram, Faridabad, Noida, Sonipat, and Rohtak. However, its proximity to active geological features such as the Main Himalayan Thrust (MHT), Main Boundary Thrust (MBT), and Main Central Thrust (MCT), the city has been susceptible to devastating earthquakes, making it imperative to conduct a comprehensive probabilistic seismic hazard assessment for the Delhi NCR area. To perform this assessment, a homogenized earthquake database from 1720 to 2023 within a 300 km radius of the epicenter of Delhi was utilized. This data enabled the calculation of peak ground acceleration (PGA) and Spectral Acceleration (Sa) at different time periods, representing 50%, 20%, 10%, 5%, and 2% probabilities of exceedance in 50 years at the bedrock level. A logic tree approach, incorporating Ground Motion Prediction Equations (GMPEs) with appropriate weighted factors, was applied to ensure accuracy. The findings of the updated seismic hazard assessment reveal that Delhi and its neighboring cities are highly vulnerable to seismic hazards, with expected PGA values of 0.10 g, 0.18 g, 0.26 g, 0.33 g, and 0.48 g for the respective probabilities of exceedance. These results are comparable with the Indian code IS:1893 Part I and Malhotra’s (2005) standards that validate their reliability. Furthermore, the seismic hazard results have been used to create a deaggregation plot, which helps to quantify the contributions of seismic sources in terms of magnitude and epicentral distance. This comprehensive understanding of seismic hazards in Delhi and its adjoining regions will aid in implementing appropriate measures to enhance preparedness and mitigate potential risks.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 20","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142411236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring changes in soil organic carbon using satellite-based variables and machine learning algorithms in arid and semi-arid regions","authors":"Mohammad Hosseinpour-Zarnaq,&nbsp;Farhad Moshiri,&nbsp;Mohammad Jamshidi,&nbsp;Ruhollah Taghizadeh-Mehrjardi,&nbsp;Mohammad Mehdi Tehrani,&nbsp;Fatemeh Ebrahimi Meymand","doi":"10.1007/s12665-024-11876-9","DOIUrl":"10.1007/s12665-024-11876-9","url":null,"abstract":"<div><p>Monitoring the soil organic carbon (SOC) dynamics through temporal environmental controlling covariates could indicate the soil and environment quality status. In this study, we address the main challenge of SOC changes at the landscape scale in dry and semi-arid regions, particularly in West Azarbaijan, Kermanshah, and Hamadan provinces of northwest Iran. Environmental covariates such as remote sensing (RS) data (land use history and vegetation indexes derived from the time series multispectral remote sensing images of Landsat 7), climate variables, soil properties (clay, sand and silt) and digital elevation model attributes employed to develop the prediction model of SOC level. Additionally, the random forest algorithms were applied to estimate SOC change and comprehensively investigated the importance of covariates in modeling to produce SOC maps for 2007 and 2023. The dataset of soil samples represented diverse conditions including arid and semi-arid environments, various soil types, topographies, and land cover classes. Furthermore, we developed a new and accurate historical land use map based on Landsat bands. The modeling performance reached an overall accuracy of 79.0% for detection of SOC status. Results showed that significant SOC loss in 2.42–11.18% of province areas and a gain in 1.92–7.49% of lands. Vegetation is the most important covariate governing the losses in the short term. The outcomes unveiled significant SOC losses, particularly in dryland farming areas and grasslands, underscoring the need for improved farming systems and pasture management practices. These findings offer vital insights for sustainable agriculture policies, natural resource management, and soil fertility preservation, highlighting the potential of remote sensing data for large-scale SOC monitoring.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 20","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142410913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing impacts of land use/land cover patterns to shallow groundwater nitrate pollution in an agricultural-dominant area in northwest China using random forest","authors":"Fengmei Su,&nbsp;Song He,&nbsp;Xiaoping Zhou,&nbsp;Furong Yu,&nbsp;Shanfeng Qiang,&nbsp;Huan Ma,&nbsp;Zilong Guan,&nbsp;Tao Zhang","doi":"10.1007/s12665-024-11856-z","DOIUrl":"10.1007/s12665-024-11856-z","url":null,"abstract":"<div><p>Groundwater nitrate pollution is a serious environmental problem worldwide, which is demonstrated influenced by land use/land cover (LULC) patterns. The current study was carried out to investigate the effects of LULC patterns to the nitrate pollution of shallow groundwater in the north piedmont plain of the Qinling Mountain (NPQM) using an ensemble machine learning method named random forest. Groundwater nitrate data and existing LULC patterns datasets were utilized to conduct the study. LULC patterns were quantified using a curved streamline shaped contributing area stratagem, and subsequently used to create training and test datasets together with the groundwater nitrate data for construction of random forest model. The results of this study indicated arable and urban land were the main LULC types in the NPQM, and urbanization induced the occupation of arable land by urban land from 2015 to 2019. Shallow groundwater in the NPQM was polluted by nitrate in both 2015 and 2019, with area of groundwater nitrate concentration exceeding the standard limitation recommended by the WHO (50 mg/L as NO₃^—) reduced from 2762.2 km² in 2015 to 2184.3 km² in 2019, showing an alleviating trend. Arable and urban land were the main LULC types contributing to groundwater nitrate pollution. Nitrate accumulated in the soil from manure and chemical fertilizer was the main source for groundwater nitrate pollution in arable land, while manure and sewage were the main source in urban land. The study provides scientific insights for sustainable groundwater protection in the NPQM.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 20","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142410822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The investigation of the seepage condition of an upstream cofferdam with computer simulations and field observations (the case study: Inandik Dam-Turkey)","authors":"Emrah Erdem,&nbsp;Ersin Kolay,&nbsp;Fatih Yildirim,&nbsp;Cenk Cuma Çadir","doi":"10.1007/s12665-024-11889-4","DOIUrl":"10.1007/s12665-024-11889-4","url":null,"abstract":"<div><p>The cofferdam is a structure that prevents water from entering the dam construction area and keeps the excavation area dry during the construction of the dam body. This study investigated the seepage conditions of the upstream cofferdam, which is designed as a clay core earth fill. It was planned impermeability under the upstream cofferdam with a slurry trench. The primary input parameter of the seepage analysis is the permeability coefficient. Permeability tests were conducted under field conditions on alluvial and volcanic rock units at the base of the cofferdam. Laboratory permeability tests were conducted for the permeable and impermeable materials used in the cofferdam construction. The plastic concrete, intended to reduce seepage in the soil beneath the dam body, was designed, and its physical, mechanical, and permeability properties were determined. Following the completion of the upstream cofferdam, seepage that could potentially affect the dam body excavation area was investigated using Rocscience Groundwater and Plaxis LE 2D software. During the excavation of the dam body, the flow rate of water seepage into the excavation pit was measured and compared with the results of the computer software analysis. The results of the field measurements were found to be compatible with those from the numerical analysis programs. It has also been demonstrated that the slurry trench method is an effective way to reduce ground seepage. As a result, it has been observed that the upstream cofferdam and the plastic concrete underneath provide impermeability, allowing the construction of the dam body to be carried out safely. Seepage was brought under control, and necessary measures were taken.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 20","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142410821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of statistical modeling (SM) approaches for landslide susceptibility mapping: geospatial insights for Bhutan","authors":"Sangay Gyeltshen,&nbsp;Indra Bahadur Chhetri,&nbsp;Kelzang Dema","doi":"10.1007/s12665-024-11897-4","DOIUrl":"10.1007/s12665-024-11897-4","url":null,"abstract":"<div><p>Landslides pose a significant threat to human settlements, infrastructure, and the environment, necessitating proactive measures for disaster risk reduction (DRR). This study explores the integration of Remote Sensing (RS), Geographic Information Systems (GIS) and Statistical Modelling (SM) techniques to create a comprehensive landslide susceptibility mapping model. The objective is to enhance our understanding of the spatial distribution and factors influencing landslide susceptibility, ultimately aiding in effective land-use planning and disaster management. Because of the extensive impacts of topography, hydrology, geology, geomorphology, and climatic conditions, the susceptibility to landslide risks in mountainous places, exhibits obvious regionalism. As a result, we proposed three statistical models (i.e., Frequency Ratio (FR), Information Value (InV), and Shannon Entropy (SE)) to evaluate susceptibility at the national level. Validation of the susceptibility model is performed using 30% of the historical landslide events using Receiver Operating Characteristic (ROC) analysis and area under the curve (AUC). The results demonstrate the reliability and effectiveness of the integrated RS-GIS-SM approach in predicting landslide susceptibility. The three models demonstrate strong agreement with negligible differences in AUC of 0.910, 0.909, and 0.908 for FR, SE, and InV, respectively. The study's findings provide valuable insights into land-use planners, environmental agencies, and decision-makers to prioritize high-risk areas for mitigation strategies. Additionally, the developed model serves as a basis for future research and refinement, contributing to ongoing efforts to enhance landslide susceptibility mapping accuracy and applicability in diverse geographic regions. The integration of RS-GIS-SM technologies offers a powerful toolset for understanding and managing landslide risk, ultimately promoting safer and more resilient communities.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 20","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142410819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing neogene-quaternary reservoir characterization in offshore Nile Delta, Egypt: high-resolution seismic insights and 3D modeling for new prospect identification","authors":"Mohamed Reda,&nbsp;Nader H. El-Gendy,&nbsp;Abdelmoniem Raef,&nbsp;Mohamed M. Elmashaly,&nbsp;Nasir AlArifi,&nbsp;Moataz Kh. Barakat","doi":"10.1007/s12665-024-11846-1","DOIUrl":"10.1007/s12665-024-11846-1","url":null,"abstract":"<div><p>This study presents a comprehensive characterization of the Neogene-Quaternary formations within the offshore Temsah gas field, which is approximately 65 km NNW of Port Said offshore the Nile Delta Basin. By integrating seismic and well log data, we constructed a detailed static reservoir model to address the complex geological structures and evaluate hydrocarbon potential. The Temsah offshore gas field has a complex geological structure characterized by numerous normal faults aligned in the two fault systems one northeast-southwest and another northwest-southeast trending. The predominance of clastic rocks and petroleum system setting in the Nile Delta Basin make this location favourable for hydrocarbon accumulations. Utilizing data from four wells and twenty-nine seismic lines, an in-depth interpretation was conducted to overcome the challenge of precise seismic feature delineation. Static reservoir model incorporates detailed three-dimensional visualizations of sandstones and shale layers, with a particular focus on the Upper Sandstone of Kafr El-Sheikh and Sidi Salem formations. Detailed three-dimensional model illustrated the structural impact on the studied reservoirs. Shale volume, water saturation property distribution grids complemented a constructed 3D model depicting the spatial distribution of rock facies and petrophysical parameters within the Temsah gas field. The integrated approach facilitated the identification and evaluation of three hydrocarbon prospect locations with estimated Gas Initially In Place (GIIP) ranging from approximately 2,856,782 Billion Cubic Feet [BCF] to 5,332,660 [BCF]. These findings underscore the substantial potential for advancing field development in the Temsah gas field.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 20","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142410106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmental impact of hydraulic fracturing on groundwater by isotope composition and hydrochemistry","authors":"Zhao Li,&nbsp;Zujiang Luo","doi":"10.1007/s12665-024-11868-9","DOIUrl":"10.1007/s12665-024-11868-9","url":null,"abstract":"<div><p>Hydraulic fracturing is widely applied for unconventional energy to improve production capacity. But concerns exist about the potential negative impacts of hydraulic fracturing on the environment. Previous researches evaluated the impact of hydraulic fracturing on the environment by water quality monitoring qualitatively. Some numerical models were estimated to study it quantitatively. But there is uncertainty in the acquisition of mechanical parameters of deep rock. This study presents a statistical model for studying the environmental impact of hydraulic fracturing on the groundwater in the region. The contribution ratio of CBM co-produced water is calculated to estimate the containment degree by End Member Mixing Analysis. In order to obtain the end members purely, Vertex Component Analysis and Principal Components Analysis are used to extract the end members. The model is applied to Qinshui Basin, China. It was shown that hydraulic fracturing doesn’t damage the aquiclude in the region. But shallow groundwater was polluted by CBM co-produced water in the Shizhuang Block. The mixing path of CBM co-produced water is from the surface to the aquifer.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 20","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142409615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Calculation model for settlement of soft soil foundation with continuous drainage boundary considering the Hansbo’s flow law and the linear load","authors":"Yunbo Xu,&nbsp;Jiachao Zhang,&nbsp;Zhongyu Liu,&nbsp;Penglu Cui","doi":"10.1007/s12665-024-11878-7","DOIUrl":"10.1007/s12665-024-11878-7","url":null,"abstract":"<div><p>To ensure the safety of deep foundation pit construction, this paper proposes a settlement calculation model for deep foundation pits in soft soil areas. In this model, factors such as the non-Darcian flow law of soft soil, the varying boundary drainage capacity, and the construction loads are considered. Among them, the Hansbo’s flow and the linear load are used to portray the complicated conditions in real-world engineering, and the continuous drainage boundary is utilized to describe changes in drainage performance of soil boundaries. Comparing the effectiveness of the suggested solution to prior research has confirmed its efficacy. Then, using a number of examples, the consolidation mechanism of soil with continuous drainage boundary is examined in light of Hansbo’s flow law and the linear load. The pore pressure in soil layers with continuous drainage boundaries under linear load exhibits a trend of initially increasing and then dropping, according to numerical research. Furthermore, the peak of the increase in pore pressure is substantially impacted by Hansbo’s flow equation. The bigger the parameters in the Hansbo’s flow law, the longer the linear loading time, and the slower the settlement in the soil layer with the continuous drainage boundary are additional factors.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 20","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142409617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GIS-based statistical and limit equilibrium models in the assessment of slope stability and landslide susceptibility: the case study of the Aomar Miocene basin, Bouira, Algeria","authors":"Nassim Hallal,&nbsp;Mouloud Hamidatou,&nbsp;Amal Medjnoun,&nbsp;Lamine Hamai,&nbsp;Atmane Lamali,&nbsp;Hany M. Hassan,&nbsp;Djouder Fahem","doi":"10.1007/s12665-024-11879-6","DOIUrl":"10.1007/s12665-024-11879-6","url":null,"abstract":"<div><p>Landslides are the main gravitational phenomena in the Neogene basins of Algeria. This feature is mainly favored by the lithological nature of the fill materials, the climate, and the slope morphology. They are known for their high residential concentration and urban development. For better management and planning of future projects in landslide-prone areas, the use of Landslide Susceptibility Maps (LSMs) is indispensable. This study proposes a combined statistical and limit equilibrium method for the analysis of slope stability and for the production of LSMs using GIS in the Aomar Neogene basin (Bouira, Algeria). For this purpose, different work steps were carried out. Initially, a landslide inventory map was prepared based on existing studies, high-resolution aerial photography and satellite imagery analysis, as well as on detailed fieldwork. Besides, the geotechnical characterization of each geological formation was determined from the physical and mechanical parameters of recent and old geotechnical studies conducted in the region. A total, 169 landslides were compiled and randomly divided into training (70%) and validation (30%) datasets. Furthermore, eight factors influencing landslide occurrence (including slope angle, lithology, slope aspect, elevation, drainage density, distance to the rivers, distance to the roads, and rainfall) were selected and applied for the analysis. Moreover, the inventoried landslide and their associated factors were taken into account when mapping landslide susceptibility in the Aomar Neogene basin using Frequency Ratio (FR) models in GIS. On the other hand, a two-dimensional limit equilibrium (LE) model was used to determine the landslide-prone zones with a distinctive stability factor for each slope and the failure surface depth. Then, we have been able to verify and validate the obtained results for the statistical method using the Area Under the Curve (AUC) value of the Receiver Operating Characteristics Curves (ROC) method. For the frequency ratio models, the AUC is 83.23%, and for the limit equilibrium method, the safety factor is less than one for a slope greater than 16°. Based on these findings, we draw the conclusion that the maps may be exploited as practical instruments for land use planning and risk reduction in the Aomar Neogene basin.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 20","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142409612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}