Identification Of Zones Research Articles

Talent Development with Value-Based Approach in IT Sector

In today's energetic and competitive trade scene, organizations confront the challenge of supporting ability whereas cultivating a culture that adjusts with their center values. This theoretical investigates the concept of ability improvement through a value-based approach, which emphasizes the integration of organizational values into each angle of the worker lifecycle. The establishment of ability advancement with a value-based approach lies within the clear enunciation and communication of the organization's center values. These values serve as directing standards that shape enlistment, preparing, execution administration, authority advancement, and in general organizational culture. Recruitment and determination forms are planned to recognize candidates who not as it were have the essential aptitudes and capabilities but moreover illustrate a solid arrangement with the organization's values. Onboarding programs are organized to immerse unused enlists within the company's culture, emphasizing the significance of maintaining its values from day one. Continuous fortification endeavors, such as customary communication and criticism components, guarantee that the organization's values stay best of intellect for workers at all levels. This continuous exchange permits for the identification of zones for enhancement and the refinement of ability advancement activities to superior adjust with the organization's values. By coordination values into ability improvement forms, organizations make a workforce that's not as it was gifted and able but too profoundly committed to the organization's mission and culture. This approach cultivates a sense of reason, having a place, and shared commitment to fabulousness, eventually driving organizational success in a quickly advancing commerce environment.

Remediation of AMD based on hydrogeochemical zonation: A typical metal mine in China

Mining activities disrupt the natural oxidative balance underground, increasing the oxidation of metal sulfides like pyrite. This process leads to the formation of highly acidic mine drainage (AMD) with elevated concentrations of iron (Fe) and sulfate (SO42−). However, generic plugging and backfilling methods, when applied without considering the specific post-mining oxidative environments of different metal mines, often yields minimal results. To clarify the distribution of the underground redox environment after mining of a metal mine in Dexing, China, fifteen water samples from flood and dry periods, as well as fifteen borehole samples, were collected for hydrogeological and chemical analysis. For the first time, the study proposed that the redox zone could be identified and delineated through vertical analysis of water storage media, mineral composition, and hydrochemical characteristics. A hydrogeochemical cause model was constructed, revealing that AMD formation primarily occurs in oxidative and transition zones. Based on the redox zone characteristics of the study area, actual engineering sealing was performed on the oxidation and transition zones of cavity No. 23. As a result, the pH increased from 2.5 before remediation to 4.5, indicating a reduction in acidity. The concentrations of SO42− and Fe significantly decreased, reducing from 1360.0 mg/L and 147.0 mg/L before treatment to 726.0 mg/L and 23.6 mg/L after treatment; the total decrease amounting to 46.6 % and 84.0 %, respectively. The concentrations of Mn and Cu similarly, decreased by 10.7 % and 15.6 %, respectively. This study provides a novel approach and valuable reference for the refined identification and classification of redox zones after metal mine exploitation, as well as for the targeted plugging and treatment of cavities that produce AMD.

Identification of Relict Landslide Parts Based on Morphometric Data to Determine Potential Hazard Zones Combined with Surface Morphodynamics

The destruction of houses and facilities by landslide causes deaths. In this context, the level of destruction and subjective description of the characteristics can be examined through landslide parts determination. Therefore, this study aims to determine potential landslide hazard zone and houses potentially affected. Global Navigation Satellite System (GNSS) and unmanned aerial vehicle (UAV) are morphometric surveys combined with surface morphodynamics to show potential hazard zones of landslide parts. Meanwhile, Data Elevation Model (DEM) is used to delineate relict landslide and the concept is verified by field observation and orthophoto. Morphometric measurements are collected at each slope gradient by GNSS and surface morphodynamics are investigated on the entire relict landslide area by direct observation and orthophoto data. The combination of morphometric and morphodynamic data describes hazard zone of relict landslide. In addition, the integration of orthophoto and landslide hazard zone data is used to determine potentially affected houses. This study was conducted on landslides 1 and 2 with zone classifications of very high, high, low and very low. The results show that there are different conditions and the most hazardous parts of landslides 1 and 2 are the foot and body, respectively. A total of 75 and 50 houses were potentially affected by landslides 1 and 2, respectively. Identification of hazard zones based on landslide parts determines the boundaries of the area affected. The addition of surface activity processes determines the level of hazard in each of parts, while the combination of morphometric and morphodynamic data shows landslide zone.

Research on the erosion resistance characteristics of liquid-solid two-phase flow in high-pressure manifolds

During on-site throttling spray operations, the ground high-pressure manifold is subjected to the erosive effects of high-speed liquid-solid two-phase flow, which poses a high risk of erosive damage and eventual failure. In response to the erosive conditions caused by high-speed sand-carrying liquid-solid two-phase flow on the high-pressure manifold, an experimental apparatus for erosive testing was designed, taking into account key factors such as internal pressure loads. Microscopic erosive morphologies were observed in the experiments. Subsequently, numerical simulation methods were employed to investigate the identification of erosive danger zones and the influence of different installation angles, sand content, pipe flow velocities, and viscosity on erosive areas of the manifold.The research findings indicate that the microscopic morphological changes in erosive experiments align with the micro-cutting theory, which was successfully applied in simulation. Erosive danger zones are mainly distributed on the outer arch side, the curved arc connecting section, and the initial part of the outlet straight pipe. The erosive areas do not vary with changes in installation angles, sand content, and flow velocities. As viscosity increases, the erosive area shifts. The erosive rate is positively correlated with sand content and pipe flow velocity, and with increasing viscosity, the erosive rate on the first outer arch side shows an initial decrease followed by stabilization, while the second outer arch side exhibits an initial increase followed by stabilization. As the installation angle increases, the erosion rate on the second outer arch side first shows a stable trend and then decreases rapidly. At 75°, the erosion rate reaches the lowest.

Structural Characterization of High Resolution Aeromagnetic Data for Potentially Mineralized Zones Identification Within the North-Central Basement Complex of Nigeria

Structural Characterization of High Resolution Aeromagnetic Data for Potentially Mineralized Zones Identification Within the North-Central Basement Complex of Nigeria

ОПРЕДЕЛЕНИЕ ЗОН ТЕХНОЛОГИЧЕСКОГО ЗАКИСЛЕНИЯ НА УРАНОВЫХ МЕСТОРОЖДЕНИЯХ КАЗАХСТАНА С ПРИМЕНЕНИЕМ МЕТОДОВ МАШИННОГО ОБУЧЕНИЯ

The determination of technological acidification zones in uranium deposits during leaching is necessary for precise control and optimization of the uranium extraction process. Incorrect determination of the technological acidification zone can lead to excessive use of acidic reagents, which not only increases costs, but also can cause undesirable environmental consequences. The paper proposes an approach to solving issues related to the manual determination of zones of technological acidification in uranium deposits in Kazakhstan. The approach includes the study of machine learning algorithms to automate the identification of these critical areas. The use of artificial neural network (ANN) models and the extreme gradient boosting (XGB) model has shown its effectiveness in automating and improving the identification of these important zones during the mining of uranium deposits by underground borehole leaching. Thus, the accuracy of acidification intervals according to the F1-score metric for the ANN model is 0,75, and for the XGB model it is 0,80.

Application of decision support system/remote sensing/GIS techniques in groundwater recharge assessment

ABSTRACT Managing water resources and storing water through the identification of groundwater recharge zones (GWRZs) are critical to water security in Egypt. Decision-support systems (DSSs), remote sensing, and GIS techniques have yielded significant data for water resources modeling. The geologic, geomorphic, climatic, and hydrologic features of the Toshka area, Western Lake Nasser, Egypt, have been generated by data from Shuttle Radar Topography Mission, Climatic Research Unit gridded Time Series, Sentinel 2 time series, and Landsat-8 OLI. Fifteen GIS thematic maps have been ranked and normalized using five DSS techniques: Analytical Hierarchy Process (AHP), Fuzzy Analytical Hierarchy process (FAHP), Frequency Ratio (FR), Shannon Entropy (SE), and Multi-Influencing Factor (MIF). To ensure the computational usefulness of these models, GWRZs have been extracted and compared. The outcomes showed that 83, 87.5, 99.1, 99.1, and 87.5% of the existing wells are in high to extreme GWRZs for AHP, FAHP, FR, SE, and MIF, respectively. The receiver operating characteristic curve (ROC) was used to assess the effectiveness of these models. It was found that the SE model had the highest predictive performance rates, as its ROC accuracy value was 91.1%, while the FR, AHP, FAHP, and MIF approaches had values of 91, 84.4, 81.9, and 89.9%, respectively.

Groundwater recharge potentiality mapping for opportune augmentation following two MCDMs for a Western Himalayan watershed

Accounting potential zones for recharging groundwater is a prerequisite before the implementation of the springshed conservation program. Many studies have suggested that the resurgence of the springs in the Himalayan region is waning due to anthropogenic and Climate Change impacts. Typical physical methods of recharge zone explorations are manpower & fiscal-intensive and find limited applicability in areas with steep slopes and undulating topography. The deliberated study is an attempt towards the identification of potential recharge zones using topographical and meteorological indices via two MCDM methods, namely, AHP and Fuzzy AHP for the Saryu watershed of Kumaun Himalaya, Uttarakhand. Twelve thematic layers following the assignment of suitable weights were overlayed for the development of the groundwater recharge potentiality map. The findings indicated that following AHP 6%, 86.89%, 7.10% & 0.01% of the study area demonstrates low, moderate, high, and very high potentiality for groundwater recharge, while, FAHP suggests these indices to be 19.23%, 76.77%, 3.55%, & 0.45%, respectively. Further, FAHP demonstrates the redundancy of a few input layers for the adopted scale of the input data. The study also furnishes a brief description of opportune recharge structures based on the groundwater recharge potentialities.

Environmental factors influencing the abundance and spatial distribution of modern dinoflagellate cysts in Izmir Bay (Eastern Mediterranean)

We analyzed surface sediments from 12 stations located in Izmir Bay to determine the impact of anthropogenic pollution on dinoflagellate cysts. Forty-three dinoflagellate cyst taxa and two cyst assemblage zones were identified. Zone 1 is characterized by the dominance of cysts of Gymnodinium nolleri, Selenopemphix nephroides, and Operculodinium centrocarpum from the oligotrophic part of Izmir Bay. Zone 2 is in the highly productive inner part of the bay and is characterized by the high abundances of Lingulodinium machaerophorum, Spiniferites ramosus, cysts of Scrippsiella spp., cysts of Polykrikos spp. and Quinquecuspis concreta. We used multivariate statistical analysis (DCA and CCA) on dinoflagellate cysts and environmental variables to support the identification of Zones 1 and 2. Our analyses also revealed that summer and winter chlorophyll-a as well as elevated nitrate and nitrite concentrations are significant parameters in controlling dinoflagellate cyst distribution in Izmir Bay.

A New Method for Traveling Wave Localization in Wide Area Power Grid Based on Trusted Zone Identification of Fault Lines

Abstract Aiming at the problem of dead zones in fault localization of wide area power grids, which makes it difficult to improve localization accuracy, a new method based on the trusted zone of fault lines for precise localization of wide area traveling waves is proposed. The algorithm is based on the principle of dual terminal positioning, which determines the fault line in the network through the action status of the circuit breaker, and determines the calculation area of network positioning based on the fault line, obtaining a set of dual terminal positioning calculation paths based on the fault line; Then, calculate the reliable localization zone of the faulty line under all dual end localization calculation paths and use it to determine whether the localization result of the path is reliable. For calculation paths with unreliable results, identify the second traveling wave of the fault point for calculation; Finally, all credible positioning results obtained are linearly fitted to obtain the final accurate positioning result. Simulation and practical application results have shown that this algorithm does not require finding the shortest path for traveling wave transmission, and can effectively improve the accuracy of wide area traveling wave positioning. It has high reliability, strong adaptability, and a positioning error of less than 100m.

Biomagnetostratigraphy of the Eastern Gobustan’s paleogene rocks

On the territory of Azerbaijan, Paleogene deposits are widespread and often have facies alteration. To address the issues of stratigraphic, paleogeography, facies and paleoecological directions, a detailed stratigraphic basis of both the region as a whole and its individual sections is required. This article presents the results of joint magnetobiostratigraphic studies of the Paleogene deposits of the Greater Caucasus (Azerbaijan) in order to clarify the boundaries of the Paleocene, Eocene, Oligocene and Miocene. Biostratigraphically dated Paleogene deposits of the Khilmili, Pirakushkul, Dzhangi sections (southern slope of the Greater Caucasus) were chosen as the object of study. Paleomagnetic studies of the Paleogene deposits of Azerbaijan showed frequent reversals of the geomagnetic field of this period. The results of scientific studies of the southern slope of the Greater Caucasus confirmed this fact. We have identified two paleomagnetic zones: 1) Khorem (Maastrichtian 70 Ma - Eocene 45 Ma) (zones of reverse polarity prevail in it, but the upper part of the Paleocene has a direct polarity) and 2) Sogdiana (RN-Oligocene and Miocene - characterized by alternating direct and reverse polarity paleomagnetic field). In the Lower Paleocene, 2 subzones of direct polarity were distinguished: Danian and Selandian. The position of the R-zone made it possible to draw the boundary between the Danian and Selandian stages. The identification of a paleomagnetic zone of reverse polarity contributed to the determination of the boundary between the Selandian and Thanetian stages. This result was confirmed by identifying changes in the micro-faunistic composition of deposits and observing the nature of variations in micro-floristic complexes. Such a paleomagnetic zone of reverse polarity is the benchmark (plug) for establishing the boundary between the Mons and Thanetian stages. Keywords: paleomagnetism; southern slope of the Greater Caucasus; Paleogene; magnetostratigraphic boundaries.

Ландшафтно-экологическое территориальное зонирование (на материалах Акмолинской области)

Introduction. Modern human activities in nature are subject to increasing regulation and restrictions, which should be reflected in systems for the use of natural resources, primarily in agricultural production. The problem under consideration is of particular relevance for the regions of Northern Kazakhstan, since the natural landscapes of the region have been radically changed and transformed into natural and agricultural complexes with a disturbed landscape-ecological balance.From the point of view of modern natural science, the organization of the rational use of rural areas should be solved by applying a concept based on the landscape-ecological approach. The purpose of the study. Territorial zoning of the agricultural landscape to optimize the use of agricultural land based on the landscape-ecological approach. Research methods. Cartographic materials used as the basis for the creation of diagrams and design developments, obtained on the basis of data from the virtual information system of the land cadastre of the Republic of Kazakhstan and processed using the ArcGIS program. Research results. Based on materials from the steppe zone of the Akmola region of the Republic of Kazakhstan, an analysis of landscape conditions and ecological stability of agricultural landscape systems was carried out. Analysis of territorial landscape zoning allowed us to conclude that the predominant part of the field landscapes of the steppe eons of this region is occupied by natural-territorial complexes of watershed spaces and watershed slopes, and the most common form of relief is slope surfaces. Ecological zoning of agricultural landscapes in the Akmola region revealed that the most common agricultural landscapes are characterized by weak stability and unstable agricultural landscapes. The article proposes a methodology for territorial zoning of agricultural lands on a landscape-ecological basis in the conditions of the Akmola region. It includes the following procedure: drawing up a landscape map. identification of homogeneous ecological zones; agrolandscape microzoning. As a result of research at the research object, a scheme of territorial landscape-ecological zoning for land use of agricultural formations was compiled, which is based on taking into account the paradynamic landscape structure of steppe landscapes and the degree of their anthropogenic transformation. At the same time, relatively homogeneous landscape-ecological microzones were identified, within which the elementary landscapes of the steppe catena were differentiated according to measures that stabilize the stability of the agricultural landscape. Conclusions. 1. On the territory of the Akmola region, natural landscapes have been transformed into agricultural production modifications. with a low degree of sustainability, requiring measures to maintain landscape-ecological balance. 2. The methodology for territorial zoning of steppe agricultural landscapes should be based on taking into account the paradynamic landscape structure of steppe landscapes, i.e. its catenary device. 3. Application of the results of territorial landscape-ecological zoning in design developments for the use and protection of land will allow the selection of optimal directions that ensure the sustainability of agricultural landscapes.

Areas with agricultural suitability for corn cultivation State of Mexiconcy

Ensuring access to food as a priority of the sustainable development objectives requires immediate attention to crops; motivated by this, the present study shows the results of the identification of agricultural suitability zones, specifically in the cultivation of corn in the State ofMexico, using the multi‑ c riteria evaluation (MCE) that allows tomodel the territorial reality and execute the spatial process with the most important variables in the growth those crops. The identification of the processes and their regional problems gave guidelines for the weighting of each of them and define their criteria for the optimal growth of the plant. The study was carried out with the assignment of weights to the variables of altitude, temperature, precipitation, slopes and edaphology according to research on their degree of influence and dependence among them; the result is the areas with the greatest agricultural suitability for the cultivation of corn in the State of Mexico (with restriction of protected natural areas and urban areas), with a timely verification of the already existing crops and improve decision making by expanding the territory with the greatest probability of optimization and crops’ yield. This methodology proposal is intended to be replicable to other crops and/or areas in which the processes and patterns that modify the characteristics of areas from a crop to high yield are recognized.

GIS-Based Integrated Multi-Hazard Vulnerability Assessment in Makedonska Kamenica Municipality, North Macedonia

This study presents a comprehensive analysis of natural hazard susceptibility in the Makedonska Kamenica municipality of North Macedonia, encompassing erosion assessment, landslides, flash floods, and forest fire vulnerability. Employing advanced GIS and remote sensing (RS) methodologies, hazard models were meticulously developed and integrated to discern areas facing concurrent vulnerabilities. Findings unveil substantial vulnerabilities prevalent across the area, notably along steep terrain gradients, river valleys, and deforested landscapes. Erosion assessment reveals elevated rates, with a mean erosion coefficient (Z) of 0.61 and an annual erosion production of 182,712.9 m3, equivalent to a specific erosion rate of 961.6 m3/km2/year. Landslide susceptibility analysis identifies 31.8% of the municipality exhibiting a very high probability of landslides, while flash flood susceptibility models depict 3.3% of the area prone to very high flash flood potential. Forest fire susceptibility mapping emphasizes slightly less than one-third of the municipality’s forested area is highly or very highly susceptible to fires. Integration of these hazard models elucidates multi-hazard zones, revealing that 11.0% of the municipality’s territory faces concurrent vulnerabilities from excessive erosion, landslides, flash floods, and forest fires. These zones are predominantly located in upstream areas, valleys of river tributaries, and the estuary region. The identification of multi-hazard zones underscores the critical need for targeted preventive measures and robust land management strategies to mitigate potential disasters and safeguard both human infrastructure and natural ecosystems. Recommendations include the implementation of enhanced monitoring systems, validation methodologies, and community engagement initiatives to bolster hazard preparedness and response capabilities effectively.

Geographical Information System, Remote Sensing and Multi Influencing Factors Techniques for Delineation of Groundwater Potential Zones in District Charsadda, Khyber Pakhtunkhwa, Pakistan

The effective harvesting of groundwater and its sustainable management is possible with the proper identification of zones on its potential basis. For this purpose, geographical information system (GIS) and Remote Sensing (RS) data approaches were combined and used for the investigation, preservation, and evaluation of groundwater supply. This study aimed to assess groundwater delineation and availability-based potential of groundwater area in Charsadda District, KPK, Pakistan, by applying the approach of RS, GIS, and multi-influencing factors (MIF). For this purpose, digital elevation model (DEM), shuttle radar topographic mission (SRTM), and sentinel 2 satellite images were employed to produce numerous thematic layers, i.e., land use land cover (LULC), drainage density, lineament density, geology, slope soil, and rainfall as MIF in this study. After assigning a fixed score and weight to each thematic layer (MIF techniques), then an analyzed spatial layer was combined with a weighted overlay using ArcGIS software (ArcMap 10.5) and finally potential area for groundwater was defined. The obtained potential area of groundwater was categorized spatially as, very high, high, moderate, and low zones which depict most of the area is covered with moderate (547.66 km2) to high (306.7 Km2), as well as, high highest groundwater potential in 7 km2. The results of this study and the approach will be applicable and insightful for regional and extensive levels of developmental planning and harvesting of groundwater resources.

Shifts in bioclimatic zones mirror climate change signals in a tropical agriculture‐dominated Bharathapuzha River basin of southern Western Ghats (India)

AbstractAssessing anthropogenic climate change in a regional context is challenging due to the spatial heterogeneity of climatic variables and is more complicated than at the global scale. Especially in the Tropics, such spatial variations are expected to increase, warranting the identification of homogeneous climatic zones for assessing regional climate change. The present study explores the ability of bioclimatic variables in defining regional climatic zones, and the detection of climate change therein. We hypothesize that the identification of homogeneous climatic zones based on bioclimatic variables could be an effective approach rather than the conventional extreme climate‐based indices to identify climate change signals. To demonstrate the hypothesis, bioclimatic variables representing the generalized climatic characteristics of a tropical river basin were derived from observed gridded datasets of rainfall and temperature. Clusters of homogeneous climatic zones were identified, and their temporal variations were analysed to examine the existence of climate change. The results indicate that despite the spatial heterogeneity in extreme climate‐based indices, the bioclimatic variables‐based approach renders a meaningful representation of the regional climatic pattern. Investigation of bioclimatic zones of the study area helped to identify a shift in its climatic zones with a slant towards drier conditions. Further, future changes in climatic zones were identified from 13 different GCMs that participated in the CMIP6, projecting drier conditions over the basin, with varying spatial extend based on future emission scenarios. The study significantly contributes towards the identification of climatologically fragile regions in changing climate, which is an essential component in developing any regional climate change adaptation and mitigation strategy.

Remote sensing and machine learning approach for zoning of wastewater drainage system

This study aimed to optimize drainage in Tiruchirappalli city using Geographic Information Systems (GIS), machine learning, and remote sensing. The integration of these methods involved multiple steps: remote sensing data was used to gather up-to-date information on land use and land cover (LULC), GIS provided a spatial framework for data integration and visualization, and machine learning, specifically a Random Forest (RF) model, was utilized for detailed LULC classification. Hydrological analysis using a Digital Elevation Model (DEM) helped delineate the watershed and drainage network, determining suitable zones for wastewater systems. Key factors such as ground slope, land use, and proximity to water bodies were considered. Buffer analysis was employed to transform and overlay these data layers. For the site suitability analysis, the Analytic Hierarchy Process (AHP) method was employed within the GIS to integrate various weighted factors, enabling a comprehensive assessment of potential locations for wastewater treatment facilities. Wastewater drainage zones were determined to be appropriate for zones 1, 8, 9, 11, 15, and 20, which correspond to areas of 40.40, 1.11, 1.00, 2.04, 1.69, and 2.46 Sq.km, respectively. This comprehensive approach enabled the identification of optimal wastewater drainage zones and suitable locations for treatment facilities, enhancing urban wastewater management.

The interictal suppression hypothesis is the dominant differentiator of seizure onset zones in focal epilepsy.

Successful surgical treatment of drug-resistant epilepsy traditionally relies on the identification of seizure onset zones (SOZs). Connectome-based analyses of electrographic data from stereo electroencephalography (SEEG) may empower improved detection of SOZs. Specifically, connectome-based analyses based on the interictal suppression hypothesis posit that when the patient is not having a seizure, SOZs are inhibited by non-SOZs through high inward connectivity and low outward connectivity. However, it is not clear whether there are other motifs that can better identify potential SOZs. Thus, we sought to use unsupervised machine learning to identify network motifs that elucidate SOZs and investigate if there is another motif that outperforms the ISH. Resting-state SEEG data from 81 patients with drug-resistant epilepsy undergoing a pre-surgical evaluation at Vanderbilt University Medical Center were collected. Directed connectivity matrices were computed using the alpha band (8-13 Hz). Principal component analysis (PCA) was performed on each patient's connectivity matrix. Each patient's components were analysed qualitatively to identify common patterns across patients. A quantitative definition was then used to identify the component that most closely matched the observed pattern in each patient. A motif characteristic of the interictal suppression hypothesis (high-inward and low-outward connectivity) was present in all individuals and found to be the most robust motif for identification of SOZs in 64/81 (79%) patients. This principal component demonstrated significant differences in SOZs compared to non-SOZs. While other motifs for identifying SOZs were present in other patients, they differed for each patient, suggesting that seizure networks are patient specific, but the ISH is present in nearly all networks. We discovered that a potentially suppressive motif based on the interictal suppression hypothesis was present in all patients, and it was the most robust motif for SOZs in 79% of patients. Each patient had additional motifs that further characterized SOZs, but these motifs were not common across all patients. This work has the potential to augment clinical identification of SOZs to improve epilepsy treatment.

Diagenetic variability in Tertiary, syn-rift mixed siliciclastic‑carbonate depositional system (Lower Musayr Formation), Red Sea, Saudi Arabia

Mixed siliciclastic‑carbonate depositional systems are prone to differential diagenesis due to lithological heterogeneity. However, unlike pure carbonate and/or siliciclastic counterparts, the diagenesis within mixed clastic‑carbonate successions remains poorly known. This study integrates sedimentological and petrographic analysis with porosity-permeability measurements to understand diagenetic variability and its impact on fluid flow in the Oligocene-Miocene mixed clastic‑carbonate system (lower part of Musayr Fm) in Midyan Basin, Red Sea, Saudi Arabia. Sedimentological observations highlight that siliciclastic intervals comprise conglomerates, coarse- to fine-grained sandstones and subordinate mudstones whereas mixed siliciclastic‑carbonate intervals are composed of shell, ooids and microbialites-dominated facies. Petrographic analysis indicates presence of several diagenetic processes in siliciclastic intervals including dissolution of unstable silicate grains (feldspar), formation of pore filling and/or grain-replacive kaolinite, precipitation of calcite and/or dolomite, and replacement of dolomite by silica. The siliciclastic strata exhibit minimal compaction fabrics with no stylolites and are characterized by higher permeability (average = 1884 md) and porosity (average = 18.7 %). On the other hand, mixed siliciclastic‑carbonate intervals underwent micritization, sparry calcite formation, dolomitization of micrite and bioclasts, and replacement of sparry calcite by pyrite and Fe-oxides. Wavy stylolite seams were also observed in ooid facies reflecting moderate chemical compaction. In addition, the porosity (average = 6.6 %) and permeability (average = 93 md) are magnitudes lower than siliciclastic counterparts. Significant differences between porosity and permeability of siliciclastic and mixed intervals are partly linked to relatively intense diagenetic alteration (higher cementation and chemical compaction) in mixed units. Understanding such diagenetic heterogeneity in mixed systems has important implications for identification of reservoir and non-reservoir zones and may provide useful insights for hydrocarbon exploration and carbon sequestration in the analogous strata in the subsurface.

Identification of potential failure zones in large progressive landslides: a method to optimize the cost of landslide early warning

Identification of potential failure zones in large progressive landslides: a method to optimize the cost of landslide early warning