Diversion Channel Research Articles

Disaster risk reduction measures and farmers choices: a discrete choice experiment in Uganda

ABSTRACT Climate change induces high and erratic rainfall which triggers landslides and floods. With the increasing population and food needs, households in mountainous, densely populated areas turn fragile ecosystems into farms. This exacerbates landslide and flood risks requiring Disaster Risk Reduction (DRR) measures. Tree planting and diversion channels are among the recommended measures for farmers but their adoption remains low. Current studies assessing barriers to adoption ignore farmers’ opinions regarding the kind of trees or diversion channels preferred. We apply a Discrete Choice Experiment to evaluate how information delivered through videos impacts preferences for the DRR measures. Plot-level data were collected from 319 farmers from Kasese, Bundibugyo, Bushenyi and Buhweju in Uganda – districts prone to landslides and floods. The mixed logit model reveals a general preference for risk-reducing attributes of DRR measures. Using the conditional logit model to analyze split samples reveals that information influences preferences for tree planting, while preferences for diversion channels were hardly changed. Plot characteristics did not strongly explain the differences in preferences. Our study indicates that information specific to DRR measures in extension programmes would increase the adoption of such measures.

Application of Seismic Attribute Clustering Method Based on PCA-SOM in Identification of Paleochannels

Abstract Paleochannels are crucial reservoir types in continental oil and gas fields. The P oil layer in the Sanzhao Depression of the Songliao Basin is a typical example of river-controlled delta-phase deposition. The underwater diversion channel is highly developed and serves as the primary unit of the oil and gas reservoir. The stacking of the river channel creates a complex relationship. Identifying river channels has always been a challenging aspect of predicting sweet spot reservoirs due to the thinness of the sand, fault cutting, seismic acquisition and processing noise, low-resolution constraints, and other factors. This paper proposes a method for identifying river channels by combining principal component analysis (PCA) and self-organised mapping network (SOM) with seismic attribute clustering. The aim is to address the issue of difficult identification of paleochannels. The seismic attribute set, which contains multiple types of attributes, is first dimensionality reduced using principal component analysis. Then, a few principal components that can characterise the attribute set are extracted and used as inputs to the self-organising map (SOM). This reduces the dimensionality of the training sample set and simplifies the network structure. The self-organising neural network structure is designed based on the input sample features. Training is then carried out, and the network weights are updated. Attribute clustering is performed to obtain the river identification results. The effectiveness of this method for paleochannel recognition is verified by the clear morphology of the recognised paleochannels in the Songliao Basin, their conformity to geological understanding, and their matching with drilling information.

Residues of neonicotinoid insecticides in artificial waterways of the Eastern Route of the South-to North water diversion project, China: Implications for environmental risks and human health

Neonicotinoids (NEOs) are ubiquitous in global surface waters. However, the occurrence of NEOs in artificial waterways is unclear. The South-to-North Water Diversion Project (SNWDP) is the largest water diversion project in the world. Water samples from the Luoma Lake to Dongping Lake section of the Eastern Route (ER)-SNWDP were collected and analyzed for eight widely used NEOs to study their spatiotemporal distribution, ecological risks, and health risks. The total NEO concentration was 9–666, 34–138, 8–126, and 7–103 ng L−1 in the water diversion channel, Luoma Lake, Nansi Lake, and Dongping Lake, respectively. The average total NEO concentration in the water diversion channel in the dry season was twice as high as it was in the wet season, due to the precipitation dilution effect. Rather than Luoma Lake, Nansi Lake and Dongping Lake showed a seasonal difference in the average total NEO concentration. NEO concentrations in the three lakes were influenced by the inputs from natural rivers and the water diversion channels under artificial regulation. The seasonal variation in NEO composition between the water diversion channel and the three lakes suggested the channel water was not the only source for NEOs in lakes. For individual NEO ecological risks, thiamethoxam, clothianidin, and imidacloprid in the two seasons would result in high chronic risks in the water diversion channel, and moderate to high risks in Nansi Lake and Luoma Lake. Thiacloprid would result in high chronic risks in Dongping Lake in the two seasons and Luoma Lake in the wet season. For the integral NEO risks, none of the lake water sites exceeded the acute ecological threshold. Health risk assessment suggested drinking water obtained from the ER-SNWDP was safe for public health. The health risks for children exposed to NEOs from the water intake and dermal intake were higher than that for adults.

Identifying managed aquifer recharge and rain water harvesting sites and structures for storing non-conventional water using GIS-based multi-criteria decision analysis approach

In arid climates, conventional water resources are severely limited and stressed in the face of rapid population growth and future climate change. So, it is necessary to find alternative non-conventional water resources for use in drought situations. Additionally, the non-conventional water resources in these areas are not sufficient to meet future water demand. Therefore, non-conventional water resources can be adopted as a strategic reserve to bridge the gap between water supply and demand in case of emergency and drought events. These resources might include rainwater harvesting, treated wastewater, and desalinated seawater. Managed aquifer recharge (MAR) can be applied to store these resources in the hydrogeological system using Geo information System—Multi Criteria Decision Analysis (GIS-MCDA) approach for determining the suitable MAR location for storage. North-west Kingdom of Saudi Arabia area was chosen for this study because it is extremely arid, has high potential for social and economic development, and it has newly constructed non-conventional water infrastructures distributed throughout the area including water desalination plants, Tertiary Sewage Effluent (TSE) waste water plants, and flash-flood storage dams. To identify the suitable MAR site location and structure, different data related to aquifer hydrogeology, surface hydrology, hydrometeorology, and water quality were applied. Then, GIS-MCDA holistic approach was applied with aid of ordered weighting average (OWA) technique. Finally, two maps were created to show the MAR location and structure type. Potential map indicates that ~ 18.85% of the area is suitable for MAR installations. About 0.17% of the total area exhibited very high potential, where infiltration ponds can be applied, 1.86% had high potential for construction of check dams with diversion channels, and 16.82% had moderate potential for installation of recharge wells. Additionally, 56 MAR structures were proposed and a map showing their locations has been created. Thus, results indicated that the study area is promising for MAR installation. These maps could aid the decision makers to propose a sustainable development plan for the future water resources of the area.

Undesired flows in lateral-intake multiple forebays and their hydraulic implications: case study for Asia’s largest urban water supply pumping station

Urban pumping stations often adopt the design of lateral-intake multiple forebays to accommodate multiple pump units in a limited space and to reduce interaction between the operating units. However, a full understanding of the undesired flows and hydraulic characteristics of lateral-intake multiple forebays remains limited, resulting in the design of flow-regulating measures relying on trial and error. This study numerically investigated the undesired flows in lateral-intake multiple forebays and their hydraulic implications, using Asia’s largest urban water supply pumping station as a case study. The results show that the undesired flows, including flow recirculation, helical mainstream and vortex strip, are the main reasons for the deterioration of hydraulic characteristics in the forebays. The undesired flows are more pronounced at higher inflow Froude numbers or for the forebay closer to the diversion channel inlet, resulting in lower flow uniformity and higher hydraulic loss. Further discussion shows that the flow-regulating measures improve the hydraulic characteristics by limiting the generation and development of undesired flows within the forebays. This provides references for the design of flow-regulating measures for similar forebays to reduce the cost of trial and error, which is of general value for the lateral-intake multiple forebays required for urban pumping stations.

The research on narrow-valley city flood control mode based on hydrodynamic-hydrological coupling model

The flood processes and control methods in narrow-valley cities exhibit significant differences compared to other regions. Therefore, precise modeling and simulation of their flood processes is crucial. This study focuses on a typical narrow-valley city located in the Loess Plateau of northern China. A hydrodynamic-hydrological coupling model was constructed to simulate the floods, analyzing flood disaster characteristics as well as the effects and differences of various flood control measures in the narrow-valley city. The results indicate: (1) The hydrodynamic-hydrological coupling model proposed in this paper is highly appropriate for accurately simulating floods in narrow-valley cities. A hydrological model was used to generalize the hydrological process in hilly mountainous areas. While a hydrodynamic model was employed to conduct a detailed simulation of the river terrace, where the main urban area is located. After validation through two actual flood events, the model demonstrated satisfactory simulation performance. (2) The flood characteristics of narrow-valley cities differ from those of plain regions mainly because the terrain restricts the spread of floods once they surpass the embankments. This limitation leads to potentially greater inundation risks in such topographical features. Additionally, the elongated distribution of cities in these areas creates spatial disparities in flooding between upstream and downstream areas. (3) There are significant variations in the effectiveness of different flood control measures. Various flood control approaches were modeled and simulated in this paper. Their flood control capabilities were ranked in descending order as: reservoirs, flood diversion channels, and river channel dredging. (4) The combined flood control effect of multiple measures is notably superior to that of individual measures. Among them, the combination of reservoirs and flood diversion channels is optimal, as it regulates the inflow from a large upstream area. The conclusions drawn in this paper can provide a certain degree of reference and basis for the construction of flood models and flood control systems in narrow-valley cities.

Numerical research on disastrous mechanism of seepage instability of karst collapse column considering variable mass effect

In order to reveal the disastrous mechanism of seepage instability of karst collapse column considering variable mass effect, a variable mass fluid–solid coupling mechanical model of water inrush is established, by considering the random distribution characteristics of a collapse column. Taking Qianjin coal mine as the research background, based on the Weibull distribution theory, the heterogeneous distribution characteristics of rock mass is described, and COMSOL Multiphysics numerical simulation software is employed to simulate the seepage characteristics and inrush water changes in collapse columns under different conditions of homogeneity, water pressure, and initial porosity. The research results show that the greater the homogeneity is, the more water conduction channels are formed, and the porosity increases accordingly, when considering the influence of different homogeneity on the seepage characteristics of broken rock mass, which eventually leads to water inrush accidents and a sharp increase in water inflow. Besides, when studying the seepage evolution law of different water pressures on a broken rock mass, an elevation of water pressure dramatically increases the porosity and seepage rate of the water. Over time, the broken rock particles gradually migrate and the fine particles are transported and eroded by the water flow, resulting in changes in the seepage characteristics and the formation of potential water diversion channels. Finally, when taking into account the effect of different initial porosity on the fractured rock mass seepage characteristics, the greater the original porosity is, the higher the seepage velocity is, and the particle migration increases the permeability. This leads to a more pronounced conductive water passage formation, which reveals the disastrous mechanism of seepage instability of karst collapse column considering variable mass effect.

Practice of first water filling operation of super-high head diversion channel in YangJiang storage power station

Abstract In order to summarize the key points of the first water filling operation of 800-meter-class reinforced concrete waterway, and provide reference for the water filling operation of similar pumped storage power stations in subsequent power stations, this paper summarizes and analyzes the first water filling operation of Yangjiang pumped storage power station from the aspects of waterway characteristics, water filling procedure, operation key points and risk control, and explores the standardized flow of the first water filling operation of the pumped storage power station combined with practice to ensure the first success of water filling. This paper focuses on the optimization and implementation of the reverse water filling scheme of the lower adit in the upstream waterway. At the same time, the problems in the process of water filling operation are analyzed, and improvements and suggestions are put forward.

Research on Discriminant Model of Water Inrush Source By Principal Component-cluster Analysis in Jiaozuo Mining Area

This paper takes Jiaozuo Mining Area as the research object, based on the analysis of the hydrogeological conditions of the mining area, expounds the characteristics of coal strata, aquifers and groundwater recharge, runoff and discharge in the mining area; analyses the water inrush sources and water diversion channels in the mining area, analyses the routine water chemical data of each aquifer in the mining area, draws the piper three-line diagram and confirms it. To determine the hydrochemical type of groundwater in aquifer, six common water chemical ions are used as discriminant factors, a discriminant model of water inrush source is established by combining principal component analysis and cluster analysis, and the principal component of conventional water chemical ions is extracted as cluster variable to discriminate Water Inrush Source in Jiaozuo Mining Area. In order to prove the rationality and validity of the model, another group of inrush sources in Jiaozuo Mining Area is discussed. The water sample data are discriminated and the results obtained by cluster analysis are compared to verify the accuracy of the model. The results show that the model is feasible. To sum up, the identification model of inrush water source by principal component-cluster analysis can accurately and effectively identify the source of inrush water in Jiaozuo Mining Area.

Predicting Epipelic Algae Transport in Open Channels: A Flume Study to Quantify Transport Capacity and Guide Flow Management

The functionality of rivers and open diversion channels can be severely impacted when the epipelic algae group that grows on concrete inclined side walls, which are typical of urban rivers, joins the water flow. This study aims to increase the long-distance transport of epipelic algae groups in urban rivers and open diversion channels through flow scheduling and to anticipate their transport capacity with respect to water flow. Current research on contaminant movement is primarily based on mathematical models with limited data on flake epipelic algae types. A sidewall epipelic algae group in a flume was modeled using a generalized hydrodynamic experimental approach. Hydraulic experiments were conducted to study the physical movement form and transport capacity of the suspended epipelic algae group. This study suggests that the epipelic algae group will create transport movement without sedimentation when the velocity reaches 80–85% of the main flow velocity and settle to the bottom when it falls below 80%. This research can support the mathematical modelling of hydrodynamic transport, provide a research foundation for long-distance transport, and estimate potential gathering places and sediment amounts under different water flow conditions.

Hydrological and Hydraulic Modelling of Sekolo River Diversion for Coal Mining Activities

A Hydrological and hydraulic modeling of the proposed diversion of the Sekolo River for coal mining purposes will provide an overview and technical information on the proposed river realignment and identify potential impacts on the use of the Sekolo River. It is being carried out for River extension to maintain river sustainability and functionality. Sekolo River watershed modeling utilizes a combination of hydrological analysis and open-channel hydraulic modeling using HEC-HMS and HEC-RAS software. To meet the area criterion (volume), the dimensions of the diversion channel are planned with B = 15 m. H = 1.5 m; m = 1.5; L = 1253 m. These dimensions make the volume of the diversion approximately the same as the existing river. Hydraulic simulation results showed that the flood level would not rise downstream of the diversion channel. The upstream (Q25) peak flow rate is 41.90 m3/s, while the downstream peak flow rate after diversion is increased by 0.02% compared to the existing flow rate. After introducing the diversion channel, the difference in flood peak arrival time (Tp) will be 3 minutes earlier than before the diversion.

Application of Convolutional Neural Network in Quantifying Reservoir Channel Characteristics

After many years of exploitation in the petroleum field, most of the oil fields are in advanced stages of development, with a strong non-homogeneity of the reservoir, more residual oil, and low recovery efficiency. Therefore, research on various methods has been carried out by scholars to improve the rate of recovery and to understand the distribution pattern of residual oil in reservoirs. Among the whole clastic reservoirs, fluvial reservoirs occupy a large proportion, so fluvial reservoirs will be the priority for future reservoir research in China. The key to the fine characterization of fluvial-phase reservoirs is to able to reproduce the continuous curvature of the channel, and one important parameter is the width of the channel. The width of the channel sand body is one of the key factors in designing well programs, and accurately identifying the channel boundary is the key to identifying a single channel. Traditional research methods cannot accurately characterize the continuous bending and oscillating morphology of underwater diversion channels, and it is not easy to quantitatively characterize the spatial structure. Therefore, in this paper, a deep learning method is applied to quantitatively identify the width of a single channel within an underwater diversion channel at the delta front edge. Based on the sedimentary background of the block and modern depositional studies, we established candidate models for underwater diversion channels with channel widths of 100, 130, 160, 190, 220, and 250 m based on target simulation and human–computer interactions. The results show that when the width of the underwater diversion channel is 160 m, it has the highest matching rate with the conditional data and corresponds to the actual situation. Therefore, it can be determined that it is the common width of underwater diversion channel in the study area. And it is shown that the method can accurately identify the width of underwater diversion channels, and the results provide a basis for reservoir fine characterization studies.

Recommendation of excavation method and support system based on rock mass classification of the Matenggeng Dam Tunnel, Cilacap, Central Java

The Matenggeng Dam is situated in Matenggeng village, Dayeuhluhur, Cilacap district, Central Java. It features a diversion channel equipped with a tunnel that has a diameter of five meters and is formed like a horseshoe. Therefore required engineering geological analysis for tunnel planning. The purpose of this study is to ascertain the tunneling technique and the corresponding support systems. This study will provide suggestions and input before and during the construction. This research uses rock mass classification and the Point Load Test for several samples. Tunneling method and support systems using empirical method Rock Mass Rating (RMR) and Geological Strength Index (GSI). The study location is composed of sandstone, conglomerate, andesite, and siltstone with alluvium deposits in Cijolang River area. Classification of rock masses is fair to good rock. The GSI and RMR analyses suggest that the excavation technique uses hammer and blasting methodologies and a max stand-up time without support of 20 to 144 hours. The tunneling method uses top heading and bench and support systems using rock bolts, wire mesh, shotcrete, and steel sets.

ANALISIS PERENCANAAN PEMBANGKIT LISTRIK TENAGA MIKRO HIDRO (PLTMH) DI DESA NEGERI GUGUNG SIBOLANGIT

The Micro-Hydro Power Plant (PLTMH) is a small-scale hydropower generator with an installed capacity of less than 200 kW. It utilizes the flow of water from irrigation channels, rivers, or natural waterfalls by harnessing the available waterfall height at the construction site. This study focuses on the planning techniques and equipment required for PLTMH located in rural areas such as Negeri Gugung Sibolangit to meet the electricity needs of the residents. The research includes a technical feasibility study by surveying the hydrological potential and the potential falling height (head) at the planned PLTMH development site. Based on the calculations, the electricity demand for the residents of Negeri Gugung Sibolangit during peak load is estimated to be 20 kW. Field surveys indicate that the potential water discharge in the river of Negeri Gugung Sibolangit is approximately 0.95 m3/s, with a planned water discharge in the diversion channel of 0.38 m3/s and a waterfall height of 7.5 meters. This configuration can generate a power of 28 kW, which is sufficient to meet the needs of the local population. Considering the head, planned discharge, and installed capacity, the suitable turbine type is determined to be a cross-flow turbine, and the generator type is identified as a synchronous generator. Based on these parameters, it can be concluded that building a PLTMH in Negeri Gugung Sibolangit is highly feasible.

Research on the prediction of mine water inrush disasters based on multi-factor spatial game reconstruction

Water damage in mines poses a widespread challenge in the coal mining industry. Gaining a comprehensive understanding of the multi-factor spatial catastrophe evolution mechanism and process of floor water inrush is crucial, which will enable the achievement of dynamic, quantitative, and precise early warning systems. It holds significant theoretical guidance for implementing effective water prevention and control measures in coal mines. This study focuses on the issue of water inrush in the coal seam floor, specifically in the context of Pengzhuang coal mine. By utilizing a small sample of non-linear characteristics derived from drilling geological data, we adopt a multifactor spatial perspective that considers geological structure and hydrogeological conditions. In light of this, we propose a quantitative risk prediction model that integrates the coupled theoretical analysis, statistical analysis, and machine learning simulation methods. Firstly, the utilization of a quantification approach employing a triangular fuzzy number allows for the representation of a comparative matrix based on empirical values. Simultaneously, the networked risk transmission effect of underlying control risk factors is taken into consideration. The application of principal component analysis optimizes the entropy weight method, effectively reducing the interference caused by multifactor correlation. By employing game theory, the subjective and objective weight proportions of the control factors are reasonably allocated, thereby establishing a vulnerability index model based on a comprehensive weighting of subjective and objective factors. Secondly, the WOA-RF-GIS approach is employed to comprehensively explore the interconnectedness of water diversion channel data. Collaborative Kriging interpolation is utilized to enhance the dimensionality of the data and facilitate spatial information processing. Lastly, the representation of risk is coupled with necessary and sufficient condition layers, enabling the qualitative visualization of quantitative results. This approach aims to accurately predict disaster risk with limited sample data, ultimately achieving the goal of precise risk assessment. The research findings demonstrate that the reconstructed optimization model based on multi-factor spatial game theory exhibits high precision and generalization capability. This model effectively unveils the non-linear dynamic processes associated with floor water inrush, which are influenced by multiple factors, characterized by limited data volume, and governed by complex formation mechanisms. The identification of high-risk areas for water inrush is achieved with remarkable accuracy, providing invaluable technical support for the formulation of targeted water prevention and control measures, ultimately ensuring the safety of coal mining operations.

Enhancing the engineering design of diversion routes to safeguard water quality: New insights from a carbon cycling perspective

<p>Conserving the quality of transferred water ensures the success and sustainability of interbasin water diversion works, which are increasingly crucial for global water security. Despite intensive scientific and engineering efforts, carbon dynamics in these artificial rivers have been overlooked. The accumulation of organic mud in some water transfer canals, for example, in the Middle Route of the South-to-North Water Diversion (SNWT) in China, poses multifaceted risks, including jeopardized water quality, disrupted water supply, and surging mud removal expenses. In contrast, natural channels for water delivery, such as the parallel East Route of the SNWT, do not experience mud accumulation challenges. Our study reveals that the open concrete canal of the Middle Route, devoid of connections to local water bodies, compromises hydrological connectivity, contrasting with the East Route, which enhances it. This, in turn, undermines microbial stochastic assembly processes, impedes the introduction of habitat-generalist microbial species, and facilitates detrital carbon accumulation within the ecosystem, presumably due to constraints on bacterial community functions. These findings can improve future engineering designs of water transfer schemes, including water diversion approaches and channel construction, for preserving transferred water quality.</p>

Use of HDPE geomembranes as alternative to the use of concrete for channels lining in remote areas

The use of high-density polyethylene (HDPE) geomembranes as channels linings for water transportation is an effective solution that offers numerous advantages over traditional concrete lining systems. This paper evaluates the use of these geomembranes as lining system for diversion channels for a photovoltaic power plant in the II Region of Antofagasta, Chile. The study consisted of the analysis of advantages and limitations of using geomembranes as channels linings for water transportation, compared to traditional concrete lining. Additionally, it is described the main recommendations for proper installation and maintenance of the geomembranes to ensure their effectiveness and durability over time. To ensure optimal performance, the hydraulic design of the geomembranes considered parameters such as water velocity and flow rate, slope, and crosssectional area of the channel. Structural design factors such as impact resistance, rupture resistance, and erosion were also considered. The study concludes that HDPE geomembranes are an efficient solution for water channels lining, guaranteeing safe and long-lasting water retention. Flexibility, adaptability to terrain irregularities, simple transportation and installation are some of the main advantages of geomembranes. Additionally, geomembranes have long-term durability, resistance to low and high temperatures, and are an optimal solution for remote areas with logistical difficulties.

Analyzing Water and Sediment Flow Patterns in Circular Forebays of Sediment-Laden Rivers

In the circular forebay of sediment-laden rivers, adverse flow patterns such as vortices emerge, leading to substantial sediment accumulation along the sidewalls of the diversion channel and in the forebay. This sediment accumulation significantly impacts the operational efficiency of water pumps. To address these challenges, a combination of numerical simulations and engineering experiments was employed to reveal the factors contributing to the development of these patterns. Based on these findings, seven distinct flow rates and operating conditions were introduced to obtain the optimal inlet flow rate and increase the sustainability of engineering use. The findings revealed that the different inlet flow rates exert varying influences on the flow patterns in the circular forebay, leading to changes in sediment levels in both the forebay and diversion channels. Following comprehensive comparison, Scheme 6 was identified as the optimal flow rate scheme. In this scheme, the flow uniformity, deviation angle, ratio of the vortex reduction area parameter, and rate of vortex area reduction in sections z1−3 were markedly enhanced. The effectiveness of this scheme was validated through rigorous numerical simulations and engineering experiments, thereby offering indispensable theoretical insights into the operation of pumping stations in circular forebays.

Design of Micro Hydrokinetic Energy Harvester of Marine Animal Movement for Underwater Monitoring

The underwater mobile monitoring platform that utilizes marine animals as carriers provides a new solution to address the issues of short endurance, high costs, and bulky size associated with traditional underwater mobile monitoring platforms. Based on most marine animals that have the behavioral habit of long‐duration swimming, a micro hydrokinetic energy harvesting system is proposed. This system applies a miniature vertical‐axis water turbine as its energy conversion component. The hydrokinetic energy is derived from the relative movement between marine animals and the surrounding seawater. A conceptual design of a novel underwater mobile monitoring platform is presented. A finite element model of the external‐rotor permanent magnet synchronous generator is established to comprehensively evaluate the performance of the generator. Numerical simulation is utilized to conduct a comparative analysis of different diversion channel designs. Preliminary water tank experiments show that the designed micro energy harvester can effectively capture the hydrokinetic energy generated by water flow movement. The startup flow rate of the harvester is around 0.16 m s−1. The output power increases with the increase in water flow velocity, reaching a maximum value of ≈57 mW within the range of water flow rate of about 0.2–0.5 m s−1.

Analysis of the Genetic Model of the Extremely Narrow Channel Shallow Water Delta in DL-A Oilfield, Bohai Bay Basin.

In recent years, the oil and gas reserves discovered in shallow water deltas in China have continued to grow. The research on shallow water delta deposition models and depositional genesis is becoming more and more mature. In this latest discovery, a unique type of extremely narrow channel shallow water delta deposit was found at the top of the V oil group in the lower part of the Minghuazhen Formation during the Neogene period at DL-A Oilfield, located in the Bohai Bay Basin. The width of most single channels in this deposit measures between 100 and 200m, which is relatively rare and differs from existing research. To better understand this unique narrow channel shallow water delta deposit, a range of analysis methods were conducted including trace element analysis, major element analysis, grain size analysis, core observation, casting thin section observation, 3D seismic analysis, and other methods. These analyses were used to determine the sedimentary environment and sedimentary genesis of the deposit in the study area. The results show the following: (1) The top of the V oil group in the lower part of Minghuazhen Formation was deposited with a strong oxidizing environment. In the early stage, the climate was dry and cold, and gradually changed to warm and humid in the late stage. (2) Due to the frequent exposure to the surface, obvious weathered surfaces and sedimentary discontinuities were observed on the cores; the particle size analysis shows that the lamina types developed in the study area are clastic-clay laminae and clay-clastic laminae, which are mostly developed in shallow lakes area. (3) Observations of cores and thin sections also indicated that the hydrodynamic conditions frequently changed in the study area, alternating between strong and weak hydrodynamic conditions in a short period due to the alternating occurrence of flood and dry periods during the rainy season. Weak hydrodynamic conditions and slow water flow result in insufficient undercutting and sidecutting of rivers. The alternating occurrence of flood periods and dry periods has led to the development of crevasse splays and frequent river channel diversions, resulting in the inability of long-term stable development of the river channel. Besides, the change of water level has also led to the rebuilding of the river. Therefore, the multiple effects led to the formation of an extremely narrow channel shallow water delta. The accuracy of the sedimentary model is verified by a comparative study of the Shaliu River and Buha River in the modern Qinghai Lake. The new extremely narrow channels deposition model proposed this time further improves the deposition theory. At the same time, the modern depositional characteristics of the Shaliu River and Buha River also reveal the reservoir deposition between channels that cannot be distinguished by seismic data, providing guidance for the development of oil and gas in the study area.