Hasil untuk "Hydraulic engineering"

K. Terzaghi, R. Peck, G. Mesri

Mohamad Amin Jamshidi, Mehrbod Zarifi, Zolfa Anvari et al.

Hydraulic systems are widely utilized in industrial applications due to their high force generation, precise control, and ability to function in harsh environments. Hydraulic cylinders, as actuators in these systems, apply force and position through the displacement of hydraulic fluid, but their operation is significantly influenced by friction force. Achieving precision in hydraulic cylinders requires an accurate friction model under various operating conditions. Existing analytical models, often derived from experimental tests, necessitate the identification or estimation of influencing factors but are limited in adaptability and computational efficiency. This research introduces a data-driven, hybrid algorithm based on Long Short-Term Memory (LSTM) networks and Random Forests for nonlinear friction force estimation. The algorithm effectively combines feature detection and estimation processes using training data acquired from an experimental hydraulic test setup. It achieves a consistent and stable model error of less than 10% across diverse operating conditions and external load variations, ensuring robust performance in complex situations. The computational cost of the algorithm is 1.51 milliseconds per estimation, making it suitable for real-time applications. The proposed method addresses the limitations of analytical models by delivering high precision and computational efficiency. The algorithm's performance is validated through detailed analysis and experimental results, including direct comparisons with the LuGre model. The comparison highlights that while the LuGre model offers a theoretical foundation for friction modeling, its performance is limited by its inability to dynamically adjust to varying operational conditions of the hydraulic cylinder, further emphasizing the advantages of the proposed hybrid approach in real-time applications.

Qiyan Li, Anshuang Su, Xiaojian Gao

This paper investigates the influence of fly ash (FA) incorporation and carbonation curing treatment on the interlayer bonding strength and permeability performance of 3D-printed magnesium oxysulfate cement-based (3DP-MOS) mortars. The interlayer bonding strength, permeability performance, pore structure, phase composition, microhardness, and elastic modulus of typical 3DP-MOS samples were systematically evaluated. The results show that carbonation curing significantly enhances the interlayer bond strength and alleviates the strength deterioration resulting from incorporating FA in 3D-printed samples. It also reduced interlayer permeability, particularly at interfaces prone to deterioration. Carbonation curing promotes the generation of magnesium carbonate hydrate crystals that interlace with phase 5 Mg(OH)2·MgSO4·7H2O crystals, creating a network-like structure that refines the pore size distribution and reduces capillary and macropores. Additionally, carbonation curing increases interlayer microhardness by approximately 10 %, with greater improvements of 17.6 %–27.4 % observed at distances up to 1000 μm from the interlayer. The elastic modulus at 50 μm from the primary interlayer crack also increases from 23.5 GPa to 33.9 GPa, highlighting its role in optimizing the interlayer interface and micromechanical properties of 3DP-MOS mortars. Consequently, carbonation curing significantly alleviates the interlayer performance deterioration induced by 3D printing.

Dwinata Aprialdi, Reza Mohammadpour, Afri Fajar et al.

Abstract We study a tropical river in South‐East Sumatra, where land drainage in the coastal zone has resulted in subsidence and increased flooding risks, exacerbated by sea tides. The novelty of this research is in determining the effect of tide on the lowland drainage system for forestry in a coastal tropical region and the impact of river cleaning on flood management. Five monitoring stations were set up along the Lebong Hitam river and its primary channels to observe flow characteristics, water level, and bathymetry. The results show how the tide effects water level in the river and the adjacent drainage area with Eucalyptus plantations. Cleaning of the river had a significant effect on each station and increased the discharge and velocity by more than five times and reduced the water depth by more than 40%. In light of this research, it can be concluded that the cleaning up process improves flood risk management by decreasing the water level and increasing the discharge and velocity at each of the upstream stations. The cleaning did not have a significant effect on downstream sections of the river where sea levels control the water level in the river to a large extent. The work provides an analysis of tidal river and provides recommendations for current and future drainage and water management.

Tao Hu, Fengjun Wei, Jintao Wang et al.

Mastering the movement laws of hard overlying rock layers is the foundation of the development of coal mining technology and plays an important role in improving coal mine safety production. Therefore, an indoor similar simulation experiment was conducted based on an actual coal mining face to test the strain variations of the pre-embedded optical fibers in the model using distributed fiber optic sensing. Finally, the fiber optic strain distribution curve was used to characterize the movement form and state of the overlying rock layer and fractured rock blocks. The experimental results showed the following. (1) The strain distribution of horizontally laid optical fibers is characterized by an upward trapezoidal convex platform, reflecting the evolution law of various horizontal movement forms of overlying rock layers: voussoir beam → cantilever beam → reverse cantilever beam → voussoir beam. The strain curve of vertically laid optical fibers is characterized by two levels of right-handed trapezoidal protrusions above and below, representing the motion state of the upper voussoir beam–lower cantilever beam structure of the overburden. (2) In addition, as excavation progresses, the range and height of the failure deformation of the overlying rock layers develop in a stepped shape. (3) In the end, the final vertical development heights of the cantilever beam structure and the voussoir beam structure in the overburden were 90.27 m and 24.99 m, respectively. The experimental results are highly consistent with the UDEC numerical simulation and mandatory calculation formulas, thus verifying the feasibility of the experiment. These research results provide theoretical and experimental support for safe coal mining in practical working faces.

Sonja M. Hyrynsalmi, Grischa Liebel, Ronnie de Souza Santos et al.

The discipline of software engineering (SE) combines social and technological dimensions. It is an interdisciplinary research field. However, interdisciplinary research submitted to software engineering venues may not receive the same level of recognition as more traditional or technical topics such as software testing. For this paper, we conducted an online survey of 73 SE researchers and used a mixed-method data analysis approach to investigate their challenges and recommendations when publishing interdisciplinary research in SE. We found that the challenges of publishing interdisciplinary research in SE can be divided into topic-related and reviewing-related challenges. Furthermore, while our initial focus was on publishing interdisciplinary research, the impact of current reviewing practices on marginalized groups emerged from our data, as we found that marginalized groups are more likely to receive negative feedback. In addition, we found that experienced researchers are less likely to change their research direction due to feedback they receive. To address the identified challenges, our participants emphasize the importance of highlighting the impact and value of interdisciplinary work for SE, collaborating with experienced researchers, and establishing clearer submission guidelines and new interdisciplinary SE publication venues. Our findings contribute to the understanding of the current state of the SE research community and how we could better support interdisciplinary research in our field.

Yining Hong, Christopher S. Timperley, Christian Kästner

Machine learning (ML) components are increasingly integrated into software products, yet their complexity and inherent uncertainty often lead to unintended and hazardous consequences, both for individuals and society at large. Despite these risks, practitioners seldom adopt proactive approaches to anticipate and mitigate hazards before they occur. Traditional safety engineering approaches, such as Failure Mode and Effects Analysis (FMEA) and System Theoretic Process Analysis (STPA), offer systematic frameworks for early risk identification but are rarely adopted. This position paper advocates for integrating hazard analysis into the development of any ML-powered software product and calls for greater support to make this process accessible to developers. By using large language models (LLMs) to partially automate a modified STPA process with human oversight at critical steps, we expect to address two key challenges: the heavy dependency on highly experienced safety engineering experts, and the time-consuming, labor-intensive nature of traditional hazard analysis, which often impedes its integration into real-world development workflows. We illustrate our approach with a running example, demonstrating that many seemingly unanticipated issues can, in fact, be anticipated.

Umair Iqbal, Muhammad Zain Bin Riaz

Blockage of cross-drainage hydraulic structures is a significant concern in water resources and civil engineering projects, particularly in urban areas experiencing increased debris supply. During storms or floods, debris can accumulate and restrict the flow capacity of these structures, leading to potential failures and adverse impacts on flood levels. While some argue that blockage at culverts is a non-issue, scientific research supports its significance in specific regions. However, in context of rivers and dams, blockage by Large Wood (LW) is an established issue with plenty of research in terms of its hydraulic impacts, dynamics, modeling and scouring impacts. Specifically in Australasia the Australian Rainfall and Runoff (ARR) initiative recognized the importance of studying blockage at culverts and introduced guidelines incorporating it into design and modeling. These guidelines also included post flood visual inspections of structures to understand blockage, however, this approach has been criticized by hydraulic engineers arguing that post flood visuals can not be considered as the representation of the peak floods blockage. Recently, an approach of using visual information to interpret the blockage has been adopted as a new dimension to the problem. This paper, therefore, highlights the advances, challenges, and opportunities in studying blockage, emphasizing the need for data-driven approaches and interdisciplinary collaboration. Understanding and addressing blockage are crucial for ensuring the efficient operation and longevity of hydraulic structures and promoting the resilience of infrastructure systems in the face of evolving environmental conditions.

Xiaoqiang Wang, Yakun Tao, Yan Zhou et al.

A comprehensive understanding of cracking mechanisms and the prevention of interfacial microcrack formation are imperative for additive manufacturing of high-performance multi-material heterostructures. This study systematically investigated 316L/CuSn10 heterostructures and identified solidification cracking and solid-state cracking as the predominant mechanisms. Solidification cracking is closely linked to the copper content within the mixing zone, particularly evident at 10% copper content, which heightens sensitivity to solidification cracking due to the widening of intergranular spacing and the elongation of the liquid film channel. Solid-state cracks tend to initiate from pre-existing solidification cracks, propagate along high-angle grain boundaries (HAGBs), particularly within a specific misorientation angle range of 20°–50°, terminating eventually at low-angle grain boundaries (LAGBs). This is mainly controlled by the distribution of dislocations at crack tips, which are dispersed within the grains at LAGBs, and the resulting back stress contributes to crack termination. These findings contribute valuable insights into the cracking mechanisms in heterostructures and offer guidance for the fabrication of crack-free steel-copper components.

Yajie Weng, Junjie Zheng, Hanjiang Lai et al.

Calcium salt is an important contributing factor for calcium-based biomineralization. To study the effect of calcium salt on soil biomineralization using crude soybean urease, the calcium salts, including the calcium chloride (CaCl2), calcium acetate ((CH3COO)2Ca) and calcium nitrate (Ca(NO3)2), were used to prepare the biotreatment solution to carry out the biomineralization tests in this paper. Two series of biomineralization tests in solution and sand column, respectively, were conducted. Scanning electron microscopy (SEM) and X-ray diffraction (XRD) were performed to determine the microscopic characteristics of the precipitated calcium carbonate (CaCO3) crystals. The experimental results indicate that the biomineralization effect is the best for the CaCl2 case, followed by (CH3COO)2Ca, and worst for Ca(NO3)2 under the test conditions of this study (i.e. 1 mol/L of calcium salt-urea). The mechanism for the effect of the calcium salt on the biomineralization of crude soybean urease mainly involves: (1) inhibition of urease activity, and (2) influence on the crystal size and morphology of CaCO3. Besides Ca2+, the anions in solution can inhibit the activity of crude soybean urease, and NO3− has a stronger inhibitory effect on the urease activity compared with both CH3COO− and Cl−. The co-inhibition of Ca2+ and NO3− on the activity of urease is the key reason for the worst biomineralization of the Ca(NO3)2 case in this study. The difference in biomineralization between the CaCl2 and (CH3COO)2Ca cases is strongly correlated with the crystal morphology of the precipitated CaCO3.

James S. Wheaton, Daniel R. Herber

Traditional requirements engineering tools do not readily access the SysML-defined system architecture model, often resulting in ad-hoc duplication of model elements that lacks the connectivity and expressive detail possible in a SysML-defined model. Without that model connectivity, requirement quality can suffer due to imprecision and inconsistent terminology, frustrating communication during system development. Further integration of requirements engineering activities with MBSE contributes to the Authoritative Source of Truth while facilitating deep access to system architecture model elements for V&V activities. The Model-Based Structured Requirement SysML Profile was extended to comply with the INCOSE Guide to Writing Requirements updated in 2023 while conforming to the ISO/IEC/IEEE 29148 standard requirement statement templates. Rules, Characteristics, and Attributes were defined in SysML according to the Guide to facilitate requirements definition and requirements V&V. The resulting SysML Profile was applied in two system architecture models at NASA Jet Propulsion Laboratory, allowing us to explore its applicability and value in real-world project environments. Initial results indicate that INCOSE-derived Model-Based Structured Requirements may rapidly improve requirement expression quality while complementing the NASA Systems Engineering Handbook checklist and guidance, but typical requirement management activities still have challenges related to automation and support with the system architecture modeling software.

Sayan Chatterjee, Ching Louis Liu, Gareth Rowland et al.

The increasing popularity of AI, particularly Large Language Models (LLMs), has significantly impacted various domains, including Software Engineering. This study explores the integration of AI tools in software engineering practices within a large organization. We focus on ANZ Bank, which employs over 5000 engineers covering all aspects of the software development life cycle. This paper details an experiment conducted using GitHub Copilot, a notable AI tool, within a controlled environment to evaluate its effectiveness in real-world engineering tasks. Additionally, this paper shares initial findings on the productivity improvements observed after GitHub Copilot was adopted on a large scale, with about 1000 engineers using it. ANZ Bank's six-week experiment with GitHub Copilot included two weeks of preparation and four weeks of active testing. The study evaluated participant sentiment and the tool's impact on productivity, code quality, and security. Initially, participants used GitHub Copilot for proposed use-cases, with their feedback gathered through regular surveys. In the second phase, they were divided into Control and Copilot groups, each tackling the same Python challenges, and their experiences were again surveyed. Results showed a notable boost in productivity and code quality with GitHub Copilot, though its impact on code security remained inconclusive. Participant responses were overall positive, confirming GitHub Copilot's effectiveness in large-scale software engineering environments. Early data from 1000 engineers also indicated a significant increase in productivity and job satisfaction.

Sergio Rico

Case studies are a popular and noteworthy type of research study in software engineering, offering significant potential to impact industry practices by investigating phenomena in their natural contexts. This potential to reach a broad audience beyond the academic community is often undermined by deficiencies in reporting, particularly in the context description, study classification, generalizability, and the handling of validity threats. This paper presents a reflective analysis aiming to share insights that can enhance the quality and impact of case study reporting. We emphasize the need to follow established guidelines, accurate classification, and detailed context descriptions in case studies. Additionally, particular focus is placed on articulating generalizable findings and thoroughly discussing generalizability threats. We aim to encourage researchers to adopt more rigorous and communicative strategies, ensuring that case studies are methodologically sound, resonate with, and apply to software engineering practitioners and the broader academic community. The reflections and recommendations offered in this paper aim to ensure that insights from case studies are transparent, understandable, and tailored to meet the needs of both academic researchers and industry practitioners. In doing so, we seek to enhance the real-world applicability of academic research, bridging the gap between theoretical research and practical implementation in industry.

Shakeel Ahmad, Haifeng Jia, Anam Ashraf et al.

Water is one of the essential natural resources for human beings. However, rising worldwide water demand and a significant decline in availability due to a lack of dynamic management and over-extraction have resulted in a complex scenario in terms of water availability. The current paper examines water resources and their management, methodologies, aims, and scope. Through the perspective of water resources and their management in Pakistan, 93 research publications were critically analyzed using a systematic review technique. The technique includes a systematic review of existing literature on water resource management, with particular emphasis on policy, governance, and environmental challenges. The study results demonstrate gaps and weaknesses in existing laws and regulations, alongside the threats to water resource management due to population expansion, urban development, climate change, and water contamination. To properly address these problems, the current study proposed a comprehensive framework for water resource management. This framework includes a national water policy that argues for sustainability and improves institutional strength. Infrastructure development, climate change adaptation, and examining social and environmental variables are all emphasized as important problems. Furthermore, it is essential to emphasize the importance of education and raising knowledge about water resource management among the general public and relevant stakeholders. By following these recommendations and the proposed OECD key principles on water governance, Pakistan may make significant progress towards achieving sustainable water management, aligning with its development objectives, and ensuring clean and safe water availability for future generations.

Rahim Abdollahzadeh kahrizi, Amir Hossein Kokabinezhad Moghaddam, Edris Merufinia

IntroductionThe increase in demand for water resources due to population growth and economic development along with water wastage and a decrease in rainfall, on the other hand, has made it significant to pay attention to water demand and make sound policies. Our country is facing the risk of a water crisis in the coming years, mainly due to its location in a dry and semi-arid climate, as well as the ever-increasing growth of water consumption. To alleviate the water crisis, international trade in agricultural products can play a significant role in redistributing water resources because traded goods contain a large amount of virtual water. Water restriction in Iran is an undeniable fact, for this purpose, trading based on virtual water can be a solution to reduce the effects of water restriction. Due to being located in a dry and semi-arid climate, Iran is facing the risk of a water crisis in the coming years. Therefore, in order to deal with it, it is necessary to be more sensitive to the types of water consumption. Among these uses is virtual water. The water used in the production process of goods is called virtual water, a part of which is kept in the product. Virtual water trade occurs when goods are imported into global markets. Virtual water trading is expected to reduce water consumption at the national and international levels due to more efficient and specialized use of water. Today, the concept of virtual water is one of the most critical issues in water resources management. Today, the problem of water shortage has become a serious concern due to climate changes and uneven distribution of rainfall in most regions and countries, including Iran, and is considered the most important obstacle to the economic development of these countries. Trade as a tool to prevent the unnecessary withdrawal of water resources, focusing on the strategy of virtual water trade, can play an essential role in achieving the economic development of countries. Materials and Methods The study area of the research is the Shiblo-Poldasht plain in the northwest of Iran. This area is located in the east of the Poldasht study area and in the north of the Qara Ziauddin study area. The aim of this research was to investigate the statistical status of the cultivated area, the production performance, and the evaluation of the productivity and virtual water of agricultural crops in the Poldasht plain. The time frame of the research is from 2011 to 2021 in an 11-years period. Accurate calculation and determination of water requirement (m3 ha-1). The amount of water required by a plant for its proper growth, taking into account the loss of evaporation and transpiration of the plant, is called the water requirement of the plant. Therefore, the water requirement of the plant depends on the amount of evaporation and transpiration of the plant. It is worth noting that due to different climates and weather conditions, plant growth conditions and as a result, the amount of water needed by plants are also different. In the present research, the various productivity indicators and virtual water of the crops of Dasht-Poldasht have been examined. Moreover, according to the objectives of the research, the physical and financial indicators of water productivity, including the performance index per unit of water volume (CDP), income per unit of water volume (BPD), and net return per unit of water volume (NBPD) have been calculated. Results and Discussion In this research, the amount of virtual water and the productivity index as well as the net and gross economic value of the major crops grown in Poldasht city in West Azarbaijan province were investigated. In this regard, first, data and information related to crops were collected through relevant organizations and institutions, and NETWAT, CROPWAT, and CLIMWAT programs and Excel programs were used to draw graphs and graphical results. Then the yield of crops was calculated by dividing the amount of crops produced by the area of ​​planting crops and the productivity index and virtual water. The results of this research show that the watermelon crop with a harvesting area of ​​5789 ha and a production rate of 237951000 kg and a production yield of 41103.99 kg ha-1 with a water requirement of 2760 m3 ha-1 has a productivity of 14.89 kg m-3 and has The highest level of productivity is also the results show that the alfalfa product is the lowest level of productivity. It is worth noting that despite the fact that the watermelon product has high production and productivity at a very low harvest level, it is also a very water-loving product that has a relatively high water requirement, and generally experts are looking for an alternative product due to the lack of water resources. Finally, it is suggested that traditional (submerged) irrigation methods should be replaced by modern pressurized irrigation methods so that in addition to increasing efficiency and productivity, we can see a reduction in water consumption and its wastage. It is also suggested that the water requirements of agricultural crops be compared with each other using the data of the Agricultural Jihad Organization and the aforementioned programs, and its effect on the amount of water consumed and its savings, as well as the net and gross values ​​of the production of crops, and the final results It is compared with the national water document to fully verify the amount of water needed. Conclusion Despite the fact that the watermelon product has high production and productivity at a very low harvest level, it is also a very water consuming product possessing a relatively high water requirement, and generally experts are looking for an alternative product, due to the lack of water resources. Finally, it is suggested that traditional flood irrigation methods should be replaced by modern pressurized irrigation methods, so that in addition to increasing efficiency and productivity, we can encounter with a reduction in water consumption and its wastage. It is also suggested that the water requirement of agricultural crops should be compared with each other using the data of the Agricultural Jihad Organization and the aforementioned programs, and its effect on the amount of water consumed and its saving, as well as the net and gross values of crop production, should be evaluated. Finally, the results have been compared with the national water document so that the amount of water needed can be fully verified.

Guanyi Lu, Seyyedmaalek Momeni, Carlo Peruzzo et al.

We report laboratory experiments and numerical simulations demonstrating that the anisotropic characteristics of rocks play a major role in the elongation of hydraulic fractures propagating in a plane perpendicular to bedding. Transverse anisotropy leads to larger hydraulic fracture extension in the parallel-to-bedding/divider direction compared to the perpendicular-to-bedding/arrester direction. This directly promotes vertical containment of hydraulic fractures in most sedimentary basins worldwide even in the absence of any favorable in-situ stress contrasts or other material heterogeneities. More importantly, the ratio of the energy dissipated in fluid viscous flow in the fracture to the energy dissipated in the creation of new surfaces is found to play a critical role on fracture elongation, with fracture-energy dominated hydraulic fractures being the most elongated while the viscous dominated ones remain more circular. These results open the door to a better engineering and control of hydraulic fractures containment at depth in view of the competition between material anisotropy and injection parameters (fluid viscosity and rate of injection).

Sehrish Malik, Moeen Ali Naqvi, Leon Moonen

There is an increasing need to assess the correct behavior of self-adaptive and self-healing systems due to their adoption in critical and highly dynamic environments. However, there is a lack of systematic evaluation methods for self-adaptive and self-healing systems. We proposed CHESS, a novel approach to address this gap by evaluating self-adaptive and self-healing systems through fault injection based on chaos engineering (CE) [ arXiv:2208.13227 ]. The artifact presented in this paper provides an extensive overview of the use of CHESS through two microservice-based case studies: a smart office case study and an existing demo application called Yelb. It comes with a managing system service, a self-monitoring service, as well as five fault injection scenarios covering infrastructure faults and functional faults. Each of these components can be easily extended or replaced to adopt the CHESS approach to a new case study, help explore its promises and limitations, and identify directions for future research. Keywords: self-healing, resilience, chaos engineering, evaluation, artifact

Yang Ma, Yantao Cui, Huagao Tan et al.

Abstract Accompanying its rapid urban development, prevalent urban flooding incidents have been occurring in China in the past two decades with increasing frequency. Through a comparison with generally accepted urban flooding management practices, we (the authors) identified that a lack of surface water runoff management considerations (i.e., missing a major drainage system in urban stormwater system) and inadequate local mitigation are the primary causes of urban flooding problems in China, which in turn is rooted in the planning stage of a city's development. Following identification of the primary causes for the problems, we propose the development of master drainage plans (MDPs) for the concerned cities or regions as the first effective step to mitigate the serious urban flooding problems facing many cities today. An MDP would provide necessary elements to develop a major drainage system for the city's stormwater system and allow for an accurate calculation of parameters necessary for installation of adequate local mitigations. Lessons learned in this study should be useful for China's administrative agencies and professionals while they try to find solutions to their urban flooding problems and beneficial to other nations facing rapid urban development in the future or with existing urban flooding threats.

Ian A. Cosden

The Princeton Research Software Engineering Group has grown rapidly since its inception in late 2016. The group, housed in the central Research Computing Department, comprised of professional Research Software Engineers (RSEs), works directly with researchers to create high quality research software to enable new scientific advances. As the group has matured so has the need for formalizing operational details and procedures. The RSE group uses an RSE partnership model, where Research Software Engineers work long-term with a designated academic department, institute, center, consortium, or individual principal investigator (PI). This article describes the operation of the central Princeton RSE group including funding, partner & project selection, and best practices for defining expectations for a successful partnership with researchers.

Shucai Li, Xintong Wang, Xu Zhenhao et al.

Abstract Hydraulic tomography (HT) is a well-established approach to successfully describe subsurface hydraulic heterogeneity. This work explored the potential of HT and the simultaneous successive linear estimator algorithm to map the distribution and connectivity of karst conduits and their hydraulic parameters at the engineering scale. Three generalized synthetic karst conduit models, auxiliary conduit, cave and waterfall, were established. A series of pumping tests were conducted at different locations as forward simulations to collect hydraulic head responses. These responses were then used for the HT inversion analysis to estimate hydraulic parameter fields of karst aquifers under steady-state and transient conditions. Our results show that high-density observation wells substantially assist with interpreting the reliable spatial distribution of hydraulic parameters. With the increase in the number of pumping wells in the HT inversion, the estimates of hydraulic conductivity and specific storage became more accurate for the auxiliary conduit model, but for the cave and waterfall models, there was no significant improvement. The hydraulic conductivity (K) tomograms from transient hydraulic tomography (THT) better indicated the heterogeneity of the three karst models than those from steady-state hydraulic tomography (SSHT) because a large number of hydraulic head records were introduced into the THT inversion process. Moreover, when reliable geological data are available, the accuracy of the estimated hydraulic parameter maps can be greatly improved even if only infrequent hydraulic head measurements can be obtained, implying that a priori geological information may be extremely valuable in mapping karst conduit heterogeneity. Finally, the robustness of HT in mapping karst conduits is verified through the simulation of independent cross-hole pumping tests. This study proved that hydraulic tomography utilizing groundwater responses from a series of cross-hole pumping tests is an efficient and cost-effective way and provided a feasible method for accurate identification of hydraulic heterogeneity of karst aquifers.