Water Filling Research Articles

Assessing Air-Pocket Pressure Peaks During Water Filling Operations Using Dimensionless Equations

Air pockets can become trapped at high points in pipelines with irregular profiles, particularly during service interruptions. The resulting issues, primarily caused by peak pressures generated during pipeline filling, are a well-documented topic in the literature. However, it is surprising that this subject has not received comprehensive attention. Using a model developed by the authors, this paper identifies the key parameters that define the phenomenon, presenting equations in a dimensionless format. The main advantage of this study lies in the ability to easily compute pressure surges without the need to solve a complex system of differential and algebraic equations. Numerous cases of filling operations were analysed to obtain dimensionless charts that can be used by water utilities to compute pressure surges during filling operations. Additionally, it provides charts that facilitate the rapid and reasonably accurate estimation of peak pressures. Depending on their transient characteristics, pressure peaks are either slow or fast, with separate charts provided for each type. A practical application involving a water pipeline with an irregular profile demonstrates the model’s effectiveness, showing strong agreement between calculated and chart-predicted (proposed methodology) values. This research provides water utilities with the ability to select the appropriate pipe’s resistance class required for water distribution systems by calculating the pressure peak value that may occur during filling procedures.

Wind and river effects on a coastal current in Chatham Sound, British Columbia

Chatham Sound is an ecologically and economically important semi-enclosed basin in the northeast Pacific which has received only limited oceanographic attention. Here we investigate the surface circulation in the southern Sound by analyzing hourly current fields obtained from a high-frequency (HF) radar array, installed there in 2017 and still in operation, as well as other hydrographic and mooring measurements that allow us to characterize subsurface features at several specific locations during 2018 and 2019, and satellite imagery processed to obtain a measure of suspended particulate matter at high spatial resolution. We find that the surface circulation is dominated by the plume of the Skeena River, which flows into the southeast corner of the Sound. On average, this plume forms a northward flowing coastal current in the eastern half of the Sound, and is turbid during the freshet. The plume width changes only marginally even though the Skeena’s flow changes seasonally by a factor of about 7. However, the depth of the plume and its salinity is dramatically different during the early summer freshet compared to values in winter. Fastest plume currents appear near the offshore edges of the plume, even though the plume depth is greatest near the coast. We show that these features are consistent with those predicted from an analytical 1-1/2 layer buoyant coastal current model. Winds can accelerate or retard the coastal current; when strong enough the flow is arrested and turbid plume water fills the southern Sound.

Assessment of Drought Hazard of Yapıaltın Dam Lake (Sivas-Türkiye) According to the Water Occupancy Rates of the Last Thirteen Years

Global problems affect all living things. Global warming and the resulting global climate change affect the natural balance in the systems and processes of the hydrobiological cycle. The number one factor necessary for the continuation of life on earth is water. But the world has been in danger of drought for a very long time. Drought danger is a serious problem that can lead to a decrease in biodiversity, drying of vegetation, soil erosion, decrease in agricultural production, decrease in water resources and water scarcity. Yapıaltın Dam Lake was established between 1975-1977 for agricultural irrigation and flood protection. This research focused on the assessment of drought hazard in Yapıaltın Dam Lake according to the water occupancy rates of the last thirteen years. For this reason, the data of the water occupancy rates in Yapıaltın Dam Lake for the years 2010-2022 were presented and evaluated in this research. As a result, the average water fill rate of Yapıaltın Dam Lake, which has fallen below 20 percent compared to the last thirteen years, carries a potential risk for agricultural irrigation. For this reason, the waters of the Yapıaltın Dam Lake should be used more consciously than ever before and classical irrigation methods should be abandoned.

Swelling pressure of phyllite residual soil during saturation

Phyllite residual soil is a typical regional soil formed from the weathering of phyllite rock formations, characterized by poor engineering properties. The swelling pressure could pose a threat to roadbed stability and other geological engineering disasters during the rainy season. Therefore, studying the swelling pressure of phyllite residual soil is critical for ensuring the sustainable development of both human society and the natural environment. In this study, a series of swelling pressure tests were conducted on the phyllite residual soil to determine its swelling pressure, and nuclear magnetic resonance (NMR) test was applied to assess the evolution of soil fabric in both the initial unsaturated state and saturated state. The results indicate that the swelling rate of phyllite residual soil is negatively correlated with the initial water content and positively correlates with the dry density. The denser or drier the phyllite residual soil is in its initial state, the higher the equilibrium swelling pressure will be. The analysis of T2 distribution curves reveals that during the wetting process in phyllite residual soil, water fills micropores prior to macropores until water fills up all pores.

Experimental and numerical simulations of river-crossing pipelines for different water fill patterns

In the process of water filling in long-distance water transfer projects, the transient flow of water and air, along with the fluctuation in pressure, indicates the complexity of the hydraulic transition process, particularly when there are curved pressurized pipes, and the movement of air inside the pipes is not easily determined. This study focuses on pipeline systems with significant changes in elevation, such as those crossing rivers or roads. It employs a combined approach of generalized model experiments and numerical simulations to investigate the formation and transformation of flow patterns in the pipeline system during the filling process. It also analyses the fluctuation of pressure on both sides of the curved pipe under different filling modes and reveals the coupling mechanism between the movement of large-scale air bubbles and turbulent vortex structures within the curved pipe. When the water filling velocity at the pipeline inlet is v = 0.8 m s–1, the size of the bubbles formed by the air is larger, the variety of flow patterns is greater, and the evolution of flow patterns is more complex. When impounded water occurs in the river crossing pipeline due to maintenance, the pipeline system forms slug flow at a filling flow velocity of v = 0.8 m s–1. This leads to an abrupt change in the overall pressure of the pipeline system, with the maximum pressure being 1.36 times that of the filling flow velocity of v = 0.4 m s–1. At a filling flow velocity of v = 0.8 m s–1, bends in the pipe readily foster the formation of large-scale bubbles. The interaction between the buoyancy and drag forces acting on these bubbles and the centrifugal forces provided by the bends results in continuous changes in the hydraulic conditions within the pipe. The research findings not only enrich the study of the hydraulic transition process in pipeline systems but also hold significant importance for expediting the construction pace of long-distance water transfer projects.

Cylindrical single-wall and double-wall structures with or without internal water subjected to underwater shock loading

A series of experimental studies were conducted for cylindrical structures subjected to underwater shock loading to understand their dynamic responses and failure characteristics. All tests were performed inside an anechoic water tank. The submerged test cylinders were freely suspended, and an underwater shock loading was generated by the Compressed Air Shock Pipe Underwater Release (CASPUR) system. Cylinders were made of two different materials. The first group of cylinders was fabricated from carbon fiber and resin using the filament winding technique. The winding angles were ± 45° resulting in the same properties along axial and hoop directions. The second group of cylinders was constructed using a 3-D printer with polylactic acid (PLA) material. The 3-D printed cylinders had an orthotropic material property with different values in the axial and hoop directions. Both single-wall and double-wall cylindrical structures were tested. The latter consisted of two concentric cylinders of different diameters with uniform spacing between them. In addition, within the single-wall cylinders and the annuli of double-wall cylinders, the water fill was varied at 0%, 50%, or 100%. Pressure and strain gages were used to measure the shock pressure and deformation of the cylinders. The number of cylinders such as single-wall or double-wall and the internal water resulted in significant effects on the measured dynamic response (i.e., strain gage response) as well as the failure loading and failure characteristics including major failure locations. Internal water reduced the strain on the cylinders and made them withstand greater shock loading for both single-wall and double-wall cylinders.

Design and Building of an Automatic Water Filling System on Water Container Media Based on Arduino Esp8266

In the era of rapidly developing technology, innovation is important to facilitate human life. Water is the main need for all living things, especially humans, so it needs to be managed efficiently. Water filling in reservoirs is usually still done manually, which can cause a waste of clean water. Manual water filling requires humans to control the pump as needed. However, it often happens to forget to turn off the pump after the reservoir is full, which can cause a waste of water and electrical energy. To solve this problem, the idea is to make an automatic system with Arduino ESP 8266 called "Design of Automatic Water Filling System on Arduino ESP 8266 Based Water Reservoir". This system uses ultrasonic sensors to measure the water level in the reservoir. When the water reaches a certain level, the system will activate the water filling, and the user can monitor the water level in real time through a mobile device. This research aims to design and test this automatic water replenishment system to avoid water waste. The result is expected to be an efficient solution better than the manual system and beneficial in clean water management. This research will answer important questions about this system's design, workings, and test results. The main conclusion of this research is the need for improvements in the design and implementation of automatic water filling systems. Further analysis, adjustments, and retesting are needed to overcome the obstacles encountered.

Effect of Parameters of Ditch Geometry on the Uniformity of Water Filling in Ship Lock Chambers

The design of ditch structures in ship locks has an important influence on reducing water flow energy, improving the uniformity of water filling in lock chambers, and reducing the force acting on mooring ships. Existing studies on the mechanisms of flow fields and mooring conditions under the influence of geometric structural changes in ditches are insufficient, and research is limited by the complexity of the problem. Based on OpenFOAM v8, a numerical simulation of the flow structure in a lock chamber was carried out. Taking into account the ditch width, ditch depth, and sill height of the side wall as the research variables, the influence of structural changes in four single ditches on the uniformity of water filling in the lock chamber is systematically discussed. The results show that under a complex boundary constraint, the flow is diffuse in the ditch and the lock chamber, and the filling of the lock chamber is not uniform. The uniformity of water filling is closely related to the arrangement of the ditch geometry. Through the comprehensive analysis of multiple factors, some parameter thresholds were obtained to provide theoretical guidance for ditch design. It is hoped that through improved design, allowing an increase in the uniformity of water filling, the lock chamber will reach a relatively optimal state.

Influence of the Volume of a Cylindrical Discharge Chamber with Rigid Walls on the Pressure Field in the Water Filling It

Influence of the Volume of a Cylindrical Discharge Chamber with Rigid Walls on the Pressure Field in the Water Filling It

Cognitive Radar Waveform Design Method under the Joint Constraints of Transmit Energy and Spectrum Bandwidth

The water-filling (WF) algorithm is a widely used design strategy in the radar waveform design field to maximize the signal-to-interference-plus-noise ratio (SINR). To address the problem of the poor resolution performance of the waveform caused by the inability to effectively control the bandwidth, a novel waveform-related optimization model is established in this paper. Specifically, a corrected SINR expression is first derived to construct the objective function in our optimization model. Then, equivalent bandwidth and energy constraints are imposed on the waveform to formulate the waveform-related non-convex optimization model. Next, the optimal frequency spectrum is obtained using the Karush–Kuhn–Tucker condition of our non-convex model. Finally, the transmit waveform in the time domain is synthesized under the constant modulus constraint. Different experiments based on simulated and real-measured data are constructed to demonstrate the superior performance of the designed waveform on the SINR and equivalent bandwidth compared to the linear frequency modulated signal and waveform designed by the WF algorithm. In addition, to further evaluate the effectiveness of the proposed algorithm in the application of cognitive radar (CR), a closed-loop radar system design strategy is introduced based on our waveform design method. The experiments under real-measured data confirm the advantages of CR compared to the traditional open-loop radar structure.

A Free Convective Two-Phase Flow of Optically Thick Radiative Ternary Hybrid Nanofluid in an Inclined Symmetrical Channel through a Porous Medium

In the present article, we investigate the free convective flow of a ternary hybrid nanofluid in a two-phase inclined channel saturated with a porous medium. The flow has been propelled using the pressure gradient, thermal radiation, and buoyancy force. The flow model’s governing equations are resolved using the regular perturbation approach. The governing equations are solved with the help of the regular perturbation method. Polyethylene glycol and water (at a ratio of 50%:50%) fill up Region I, while a ternary hybrid nanofluid based on zirconium dioxide, magnesium oxide, and carbon nanotubes occupies Region II. The ternary hybrid nanofluids are defined with a mixture model in which three different shapes of nanoparticles, namely spherical, platelet, and cylindrical, are incorporated. The consequences of the most significant variables have been examined using both visual and tabular data. The main finding of this work is that utilising a ternary hybrid nanofluid at the plate y = 1 increases the rate of heat transfers by 753%, demonstrating the potential thermal efficiency. The overall heat and volume flow rates are amplified by buoyant forces and viscous dissipations and dampened by the thermal radiation parameter. The optimum enhancement of temperature is achieved by the influence of buoyancy forces. A ternary nanofluid region experiences the maximum temperature increase compared to a clear fluid region. To ensure the study’s efficiency, we validated it with prior studies.

The Use of An Arduino Uno Ultrasonic Sensor in Desalination Equipment's Water Filling Control

A sensor called an ultrasonic sensor works by converting electrical quantities into physical quantities (sound) and vice versa. An Arduino Uno is required to activate the system's ultrasonic sensor. The reservoir's water level is determined using ultrasonic sensors. The purpose of this investigation is to learn how to put together, program, and utilize the HC-SR04 Arduino Uno ultrasonic sensor with the Arduino IDE (Integrated Development Environment) application. Controlling the water in the desalination system is required so that the water entering the reservoir does not waste or overflow and pollute the desalinated water. An ultrasonic sensor is attached to a seawater desalination system using the evaporation method, and the sensor is put on the edge of the evaporation pond in order to conduct experimental testing of the ultrasonic sensor on the device. The desalination tool can operate more efficiently and under control with the help of the HC-SR04 ultrasonic sensor by automatically filling the water in the evaporation pond. The sensor will automatically supply the water shortage when the seawater evaporates. Results of experimental observations made with the HC-SR04 ultrasonic sensor on an evaporation bath with three water filling cycles are available. so that after 7 days, 13% of the volume that was filled in the evaporation basin has evaporated.

Distributed Dispatching in the Parallel Server Model

With the rapid increase in the size and volume of cloud services and data centers, architectures with multiple job dispatchers are quickly becoming the norm. Load balancing is a key element of such systems. Nevertheless, current solutions to load balancing in such systems admit a paradoxical behavior in which more accurate information regarding server queue lengths degrades performance due to herding and detrimental incast effects. Indeed, both in theory and in practice, there is a common doubt regarding the value of information in the context of multi-dispatcher load balancing. As a result, both researchers and system designers resort to more straightforward solutions, such as the power-of-two-choices to avoid worst-case scenarios, potentially sacrificing overall resource utilization and system performance. A principal focus of our investigation concerns the value of information about queue lengths in the multi-dispatcher setting. We argue that, at its core, load balancing with multiple dispatchers is a distributed computing task. In that light, we propose a new job dispatching approach, called Tidal Water Filling, which addresses the distributed nature of the system. Specifically, by incorporating the existence of other dispatchers into the decision-making process, our protocols outperform previous solutions in many scenarios. In particular, when the dispatchers have complete and accurate information regarding the server queues, our policies significantly outperform all existing solutions.

Advancing Flood Prediction: Leveraging Machine Learning for Accurate Prediction

Abstract: Floods, a force of nature that cannot be escaped, relentlessly strike without discrimination. Every nation, to shield itself from this calamity, strives to make adequate preparations. Countless countries endure the devastation of floods annually, suffering immeasurable losses in various aspects such as finance, environment, and human lives. Regrettably, these losses are irreparable, no matter the efforts made. Amongst the different types of floods, flash floods pose the gravest danger as they possess both the destructive force of a flood and an astonishing velocity. These flash floods occur when intense rainfall surpasses the soil's ability to absorb water. They also occur when water fills dry creeks or streams or when sufficient water accumulates to breach riverbanks, resulting in rapid surges in a short period. Flash floods can materialize within minutes after triggering incidents, leaving little time for public warning and protection. As one facet of artificial intelligence, machine learning greatly contributes to the progression of predictive systems, offering enhanced performance and cost-effective solutions. Flood prediction must be accurate and fast to mitigate its damage. Machine learning algorithms have gained popularity for flood prediction recently because of their capacity to analyse massive volumes of data and find subtle patterns. This article presents an overview of flood prediction technology utilizing machine learning, encompassing the diverse algorithms employed, the benefits and drawbacks of this technology, and the challenges that lie ahead along with potential future developments.

Alternations of open and closed lakes in the Lower Aptian Codó Formation (Parnaíba Basin, Brazil)

Lakes can be classified as open, semi-closed, and closed based on the balance between accommodation space and sediment–water fill. Different lake types can coexist in adjacent basins and rapidly change throughout time from one type to another. Understanding the processes that result from shifts in a lake's hydrological properties can be challenging, as well as characterizing its sedimentary products. The Aptian Codó Formation, in the Parnaíba Basin, north–northeast Brazil, contains in its record a complex facies succession deposited in a continental lacustrine system. In order to better understand the depositional aspects of different lake types, we characterized the lower portion of the Codó Formation using a multi-proxy approach. We combined litho- and microfacies analysis, ichnology, bulk chemical data, mineralogy, isotopic geochemistry, and organic matter analysis in the recently drilled, fully recovered borehole, 2-CO-1-MA. We defined eight lithofacies: bioturbated siltstones, dark gray mudstones, laminites, stratiform and domal stromatolites, heterolites rich in ostracods and organic muddy, and anhydrite and gypsum rocks. The isotopic data and the palynofacies analysis pointed out the existence of restricted conditions (TOC up to 19.6 wt%) with intermittent connections with seawater. Integrating all techniques, we interpreted five depositional stages: expanded lake, brackish ephemeral lake, perennial shallow lake, evaporitic sabkha, and stratified lake. These stages were influenced by the relation between inflow and evaporation rate, which were the main controls on sedimentation in the lacustrine-sabkha system studied. Our findings provide a detailed description and interpretation of the paleoenvironmental conditions related to the alternation from open to closed lakes, combining sedimentological, geochemical, and palynological characteristics of an inland lake system.

Kinerja Training Kit Mesin Pengisi dan Penutup Botol otomatis Sebagai Media Praktik Programmable Logic Controllers di SMK

This research aims to: (1) develop a prototype of an automatic bottle filling and capping machine training kit as a Programmable Logic Controllers (PLC) practice tool in vocational high schools (SMK), and (2) assess the performance of the automatic bottle filling and capping machine training kit as a PLC practice tool in SMK. This research adopts the research and development methodology in the field of education. The development model used is the ADDIE model by Robert Maribe Branch. The research consists of the following stages: Analyze, Design, Develop, Implement, and Evaluate. The data collection techniques employed in this study are interviews and questionnaires, using interview guides and questionnaires as instruments. The data obtained were analyzed descriptively. The results of the research indicate that: (1) a training kit for an automatic bottle filling and capping machine has been developed, which consists of main components such as the Conveyor Unit, Water Filling Unit, Water Capping Unit, OMRON CP1E N40 PLC Unit, Training Kit Components Unit, and Input/Output Terminal Block. This training kit serves as a PLC practice tool in SMK; and (2) the automatic bottle filling and capping machine training kit exhibits good performance, as demonstrated by the testing of 43 components, all of which functioned properly. The functional testing conducted under Initial Condition, Watertank Condition, Run Cycle Condition, Stop Condition, and Emergency Condition showed that all components (100%) performed well.

Proportional fair scheduling using water-filling technique for SC-FDMA based D2D communication

The resource allocation in SC-FDMA is constrained by the condition that multiple subchannels should be allocated to a single user only if they are adjacent. Therefore, the scheduling scheme of a D2D-cellular system that uses SC-FDMA must also conform to the so-called adjacency constraint. This paper proposes a heuristic algorithm with low computational complexity that applies proportional fair (PF) scheduling in the D2D-cellular system. The proposed algorithm consists of two main phases: (i) subchannel allocation and (ii) adjustment of data rates, which are executed for both CUEs and DUEs. In the subchannel allocation phase for CUEs (or D2D pairs), the users’ data rates are maximized via optimal power allocation to frequency-contiguous subchannels. In the second phase, a PF scheduling problem is solved to decide the modulation and coding scheme (MCS) of both CUEs and D2D pairs. Both phases of the proposed algorithm benefit from the Water-Filling (WF) technique. The simulation results suggest that the proposed scheme performs similar to optimal PF scheduling from the perspective of users’ data rate and their logarithmic sum. An additional benefit of the proposed scheme is its low computational overhead.

MP74-18 DETRUSOR VOIDING CONTRACTION VELOCITY IS RELEVANT TO PATIENTS WITHOUT BLADDER OUTFLOW OBSTRUCTION

You have accessJournal of UrologyCME1 Apr 2023MP74-18 DETRUSOR VOIDING CONTRACTION VELOCITY IS RELEVANT TO PATIENTS WITHOUT BLADDER OUTFLOW OBSTRUCTION Peter F. W. M. Rosier Peter F. W. M. RosierPeter F. W. M. Rosier More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003348.18AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Bladder outflow obstruction (BOO) is prevalent in male patients >45 y with LUTS but much less in women. Detrusor voiding contraction underactivity (DVC-DU) is (equally?) prevalent in in both sex. BOO affects DVC through 'compensation'; muscle training, to gain force, which is represented in DVC-detrusor- pressure. DVC-muscle shortening velocity (muscle function Hill equation) is less known/studied and is potentially relevant as an element of DVC-DU. We analysed DVC parameters including contraction velocity in a large cohort of adult men and women without BOO. METHODS: Patients without relevant neurological or anatomical abnormalities, voiding (pressure flow studies PFS) >100 mL and <800 mL with PVR <500 mL, representative, after ICS (quality) standard UDS, for all usual/possible indications, with 7F double lumen water fill cystometry, were included. All known DVC parameters were analysed and DVC-velocity is calculated: (bladder circumference (based on mL) at begin voiding minus circumference at end) / voiding time (tQ>0). All patients had BOO<3 linPURR (ICS- noOBS). 2488 patients were 63.5 y (sd 16.8) men (n1511) 66.3 y (15.1) and women (n977) 59.2 y (18.3). They voided 359 mL with PVR 47 mL; void% 89.3. RESULTS: PFS-voided volumes were not different Void% was slightly lower in men (88.6 vs 90.4). Men's Qmax 12.5 mL/s; pdetQmax 43.3 cm H2O; BOOI 18.1; and Wmax 12.3 W/m2 differed signific. from women Qmax 19.9 mL/s; pdetQmax 25.7 cm H2O; BOOI -14.1; and Wmax 13.0 W/m2. DVC-velocity was 0.37 cm/s in men vs 0.56 cm/s (p.000). 58.4% of men had void%100 62.2% of women. The Figure 1 demonstrates the relevance of DVC-velocity to predict incomplete voiding, in absence of BOO. CONCLUSIONS: Men with LUTS have somewhat higher outflow resistance than women even when they are all within the no BOO -category. Anatomical differences likely the cause. Only a small percentage of all female patients has outflow obstruction (>grade 2) and diagnosing DVC especially in cohorts of female patients (but also in men without BOO) requires a parameter that includes detrusor contraction velocity. Most of the currently available parameters to represent the contraction force or -strength of the DVC include detrusor pressure -with a certain weight- in a mathematical product. If there is no or low grade outflow resistance however, not contraction power (≈pressure), but contraction speed (velocity or (flow)rate) is more important. This is now supported by this analysis showing that, in patients without BOO (<grade3) DVC-velocity, has the highest predictive value to predict incomplete micturition. Source of Funding: none © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e1077 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Peter F. W. M. Rosier More articles by this author Expand All Advertisement PDF downloadLoading ...

Application of Newton–Raphson Method for Computing the Final Air–Water Interface Location in a Pipe Water Filling

The estimation of thermodynamic behavior during filling processes with entrapped air in water pipelines is a complex task as it requires solving a system of algebraic-differential equations. A lot of different numerical methods have been used for this purpose in literature including the rigid water column (RWC) model. The main advantage of the RWC model is its acceptable accuracy with very low computational load. In that context, this research presents the computation of critical points of the physical equations that describe the phenomenon. These points provide information about the final position of the air–water interface. The Newton–Raphson method was then applied to obtain a unique equation that can be used by engineers to directly compute variables such as air pocket pressure and water column length at the end of the hydraulic event. A case study was analyzed to compare the results of the mathematical model with the obtained equation for computing critical points. Both methods provided the same values for the water column length at the end of the hydraulic event. A sensitivity analysis was conducted to identify dependent and non-dependent parameters for evaluating the critical points. The proposed formulation was validated through an experimental set of data.

Spatiotemporal characteristics of the ancient water wells for the past 3,000a in Zhejiang Province, China: a perspective of geography

ABSTRACT Water wells are very important in the history of human development. The identification of spatiotemporal patterns of ancient water wells is a key to understanding the relationship between ancients and water, the evolution of ancient settlement patterns, and the history of population migration. However, at present, there are few reports to quantitatively explore the spatiotemporal evolution of ancient water wells from the perspective of geography. There is still a knowledge gap. Therefore, we show that a spatiotemporal kernel density estimation (STKDE) model and the centre-of-gravity method are useful for studying the spatiotemporal evolution of ancient water wells over the past 3,000 years in Zhejiang Province of southern China. The results show that in the past 3,000 years, the ancient water wells there have experienced an evolution from ‘single-core’ to ‘multicore’ aggregation, and the scope has gradually shifted from northern Zhejiang to southern Zhejiang. In addition, Hangzhou, Shangyu and ChunAn have always been aggregation centres. Socioeconomic factors, political and social stability, natural environmental conditions, population density and technological progress are the most important variables associated with water well ‘hot spots’ in time and space. This article provides a new perspective for the study of ancient water wells and fills the knowledge gap in understanding the spatiotemporal evolution characteristics of ancient water wells and other point or line features in the archaeological record.