Diagram Model Research Articles

Study of Predominant Dynamics on the O3-Type Layered Transition-Metal Oxide Cathode by Electrochemical Impedance Spectroscopy for Sodium-Ion Batteries.

The layered transition metal oxides (NaxTMO2) are the most attractive cathode options for the rechargeable sodium-ion batteries (SIBs) owing to their high specific capacity, outstanding sodium desorption ability, and high average operating voltage. However, the kinetic behaviors corresponding to complex and prominent phase transitions are still perplexing. Here, we investigate the detailed electrochemical kinetic characteristics of the NaNi1/3Fe1/3Mn1/3O2 electrode by electrochemical impedance spectroscopy (EIS) in three-electrode configurations assistance with the distribution of relaxation times (DRT) and trusted equivalent circuit models numerical analysis. The complex and prominent phase transformations evolution of O3-P3-O3' in the charge process and O3'-P3'-O3 during the discharge process are reflected at different degrees of frequencies and potentials, and significant contributions for the charge transfer step are established on this basis. As the charge and discharge proceed, the influence on charge transfer process by phase transform will be weak, however, which still has some expression and can be caught by EIS assistance with DRT. Additionally, a diagrammatic model for Na+ extraction/insertion is established to illustrate the physicochemical reaction mechanism in the NaNi1/3Fe1/3Mn1/3O2 electrode. The results definitely provide certain scientific thoughts and guiding principles for the commercialization of NaxTMO2 in SIBs.

Reliability, availability, and life-cycle cost (LCC) analysis of combined cooling, heating and power (CCHP) integration to data centers considering electricity and cooling supplies

The utilization of digital technology is increasing rapidly and it is causing a growth in the number of data centers around the world. Data centers provide essential services, making them known as mission-critical. Like other mission-critical facilities, data centers often use reliability and availability analysis to evaluate the level of safety of their operations. Reliable electricity and cooling supplies are vital for the data center’s operation, and almost all data centers rely on the power grid to feed their electrical and cooling systems. However, the power grid is considered an unreliable source, and power grid fragility is a raising concern among data center operators. An alternative to the power grid is a sustainable combined cooling, heating, and power (CCHP) system, which can supply continuous electricity and cooling to a data center while providing local energy generation, energy cost saving, and emission benefits. To understand the impact of a CCHP integration on the reliability and availability of a grid-fed data center, an up-to-date electrical topology design and reliability block diagram models were created that take into account both electricity and cooling supplies. The results showed that the overall system reliability of a grid-fed data center increased from 49.23% to 74.62% with a CCHP integration. In terms of availability, a grid-fed data center with 2N redundant topology achieved the industry-accepted high availability level of 0.99999, also known as 5-nines. Moreover, the use of CCHP at the grid-fed data center increased the availability from 5-nines to 7-nines for the overall system. Thus, CCHP integration to a grid-fed data center provided higher reliability and availability for the overall system for even 2N redundant topology data centers. Moreover, based on the life-cycle cost (LCC) analysis, integrating CCHP systems into data centers has a promising outcome. However, when conducting an LCC analysis, we recommend considering the realistic cost of downtime along with the reliability-related exposure to properly assess the viability of alternative energy systems by data center investors and operators.

Probabilistic Scheduling Based On Hybrid Bayesian Network–Program Evaluation Review Technique,

Project scheduling based on probabilistic methods commonly uses the Program Evaluation Review Technique (PERT). However, practitioners do not widely utilize PERT-based scheduling due to the difficulty in obtaining historical data for similar projects. PERT has several drawbacks, such as the inability to update activity dura- tions in real time. In reality, changes in project conditions related to resources have a highly dynamic nature. The availability of materials, fluctuating labor productiv- ity, and equipment significantly determine the project completion time. This research aims to propose a probabilistic scheduling model based on the Hybrid Bayesian Network-PERT. This model combines PERT with Bayesian Network (BN). BN is used to accommodate real-time changes in resource conditions. The modeling of BN diagrams and variables is obtained through an in-depth literature review, direct field observations, and distributing questionnaires to experts in project scheduling. The model is validated by applying the proposed model to a 60 m concrete bridge construction project in Indonesia. The simulation results of the proposed model are then compared with the case study project to assess the model’s accuracy. The result of the study shows that the proposed hybrid Bayesian-PERT model is accurate and can eliminate the weaknesses of the PERT method. Besides being able to provide an accurate prediction of project completion time (93.4%), this model can also be updated in real-time according to the actual condition of the project

Predictive policing and algorithmic fairness

This paper examines racial discrimination and algorithmic bias in predictive policing algorithms (PPAs), an emerging technology designed to predict threats and suggest solutions in law enforcement. We first describe what discrimination is in a case study of Chicago’s PPA. We then explain their causes with Broadbent’s contrastive model of causation and causal diagrams. Based on the cognitive science literature, we also explain why fairness is not an objective truth discoverable in laboratories but has context-sensitive social meanings that need to be negotiated through democratic processes. With the above analysis, we next predict why some recommendations given in the bias reduction literature are not as effective as expected. Unlike the cliché highlighting equal participation for all stakeholders in predictive policing, we emphasize power structures to avoid hermeneutical lacunae. Finally, we aim to control PPA discrimination by proposing a governance solution—a framework of a social safety net.

Construction machinery hydraulic transmission system fault analysis and elimination methods

Abstract The hydraulic system plays the role of power transmission in the working process of construction machinery, but their complex structure leads to their frequent failure, which in turn leads to serious consequences. Therefore, this paper first takes the fault diagnosis and troubleshooting of the hydraulic system of construction machinery as the research theme and introduces the working principle of the hydraulic system of construction machinery and common fault mechanism and common methods of fault monitoring and diagnosis. Secondly, it proposes to analyze the key components of the hydraulic system based on the power bonding diagram theory and establish its bonding diagram model to analyze the working principle and power flow characteristics of key components. Finally, the pressure and velocity characteristic parameters are identified with the help of wavelet technology, and the energy distribution and energy entropy value of the hydraulic cylinder velocity signal are obtained by wavelet packet transform. The simulation results show that the wavelet-based analysis model proposed in this paper has good fault tolerance and robustness for fault diagnosis of the hydraulic system of construction machinery, and the correct rate of hydraulic pump fault diagnosis is up to 97%, with a correct average rate increased by 16%; the correct rate of hydraulic cylinder fault diagnosis is up to 95%, with a correct average rate increased by 13%. The wavelet analysis model can be widely applied to the fault diagnosis of hydraulic systems of various construction machinery, and it effectively improves the performance of hydraulic fault analysis systems and provides a key technology for fault identification and troubleshooting of construction machinery.

An empirical study of the effectiveness of online counseling services from various job settings and features

The challenge for future counselors is using technology in counseling. Online counseling is a strategy that can be applied amid the counselee’s doubts about the effectiveness of existing counseling services. This study aims to identify the point of online counseling services from various counseling service settings. The qualitative systematic literature review design is sourced from 9 scientific journals through the semantic scholar database and has been reputable from 2013-2022. The PRISMA flow diagram model is presented—data analysis of 9 articles (out of 588 invalids) through descriptive narrative. The data findings show that it is more effective than face-to-face. School, college, addiction, health, and community counselors can apply for it. Telephone, chat, video, and text features can support multiple counseling approaches. Counselors need to develop the skills and competencies of counselors with online counseling through training and webinars.

Influence of CAVs platoon characteristics on fundamental diagram of mixed traffic flow

This study investigates the effect of connected automated vehicles (CAVs) platoon characteristics on the fundamental diagram under mixed traffic flow. First, a new platoon intensity of CAVs is developed to measure the clustering strength of CAVs. Second, a new traffic flow model is proposed based on the Markov chain, which determines the proportion of vehicles with different car-following modes. Third, a fundamental diagram model is deduced to consider the influence of platoon intensity and platoon size of CAVs. Then, numerical experiments are conducted to analyze the impact of relevant factors (i.e., platoon intensity, platoon size, platoon management strategy, and penetration rate of CAVs) on the fundamental diagram. Finally, the simulation experiments are designed to verify the theoretical model. The results show that (1) platoon intensity, platoon size, and the penetration rate of CAVs have a positive effect on improving traffic capacity; (2) a platoon size of 2–4 with a fixed platoon intensity of 0.5 significantly improves the capacity of mixed traffic flow.

Power bonding diagram model and parameter analysis of contact-separation mode triboelectric nanogenerator

Currently, the performance improvement of triboelectric nanogenerators (TENGs) mainly depends on materials, structures, and energy management circuits. In this article, we propose a power bonding diagram model that is similar to the vertical contact-separation TENG. This model can handle systems with multiple forms of energy in a unified way, and intuitively reveal the interaction and energy conversion relationships among the components of the TENG system during operation. Various factors that affect the TENG output performance can be quantitatively described using parameters in the power bonding diagram model of the TENG. Through parameter simulation analysis, it can be found that different changes in parameters during a contact-separation motion of the TENG will have different impacts on its output performance. Among them, the contact charge amount q9 determines the theoretical maximum output electric energy Emax of the TENG. In practical applications, increasing the value of the nonlinear energy R6 during the contact process of the TENG as much as possible will make the actual output electric energy of the TENG approach Emax. The parameter analysis of the power bonding diagram model of the TENG can inspire researchers to improve the output electric energy from both theoretical and practical aspects.

Traffic Flow State Analysis Considering Driver Response Time and V2V Communication Delay in Heterogeneous Traffic Environment

In order to study the heterogeneous traffic environment generated by connected automated vehicles (CAVs) and human-driven vehicles (HDVs), the car-following model and basic graph model of the mixed traffic flows of connected automated vehicles and human-driven vehicles are constructed. Considering driver response time and the communication delay of the connected automated vehicles control system, the three-parameter variation law of traffic flow is summarized to solve the traffic congestion problem in heterogeneous traffic environments. Firstly, the probability of six scenarios in queues of cooperative adaptive cruise control (CACC) vehicles, adaptive cruise control (ACC) vehicles, and human-driven vehicles in heterogeneous traffic environments is analyzed. The car-following model is defined, and the parameters are calibrated, and then a fundamental diagram model of traffic flow balance is derived. On this basis, considering driver response time and the communication delay of the linear controller, a car-following model considering multi-party delay is updated and established, and the heterogeneous traffic flow analysis of the two types of delays in the model is carried out. Finally, the microscopic simulation environment is constructed based on SUMO 1.17.0 (Simulation of Urban Mobility) software. The results show that when the permeability (the proportion of connected automated vehicles in a traffic stream) exceeds 0.6, CAVs account for the main part in the heterogeneous traffic, which has a positive impact on the maximum flow and the optimal density and can effectively improve the maximum capacity of the road. The simulation results show that the updated car-following model is reasonable and accurate in dealing with driver response time and V2V communication delay.

Assessment Vulnerability Index of West Coast of South Sulawesi, Indonesia: A Case Study in Segeri Beach, Pangkajene and Islands Regency

The coastal area of Segeri Sub-district, Pangkajene and Island Regency, as one of the areas along the West Coast of South Sulawesi, is a zone prone to the natural phenomenon of sea level rise. The impact of this phenomenon needs to be studied to identify the level of coastal vulnerability and project changes in coastal vulnerability in the future. The research aims to calculate the coastal vulnerability index and project changes in vulnerability in the future due to changes in factors that affect coastal vulnerability. This research was conducted for five months at Bone-Village Beach of area Bawasalo and Bontomatene Segeri Sub-district, Pangkajene and Islands Regency, South Sulawesi, Indonesia. The method of data analysis carried out is the Analysis of coastal ecosystems and resources, analysis of physical and social characteristics of the community, and analysis of coastal environmental vulnerability with the Vulnerability Scoping Diagram (VSD) model that places exposure, sensitivity, and adaptive capacity as dimensions of Vulnerability Index. The components of the exposure dimension consist of coastal dynamics, natural disturbances, and population. Components of the sensitivity dimension are coastal characteristics, land use, and human settlements. The adaptive capacity dimension includes coastal habitat and marine conservation areas. Based on the score of each parameter in the three dimensions, the Coastal Vulnerability Index (CVI) of all observed locations is in the range of CVI values 7.96 - 9.59, which means the category of Moderate Vulnerability. Factors that strongly influence the CVI are the sensitivity dimensions, including Erosion, waves, and tides caused by oceanographic factors so; that if The Segeri Coastal Area does not make adaptation and mitigation efforts, then the possibility of the next 5 - 10 years, the level of Coastal vulnerability Index can be a high or very high Vulnerability. Adaptation efforts that can be made are strengthening the coastal boundary area, planting and expanding mangrove trees in the Segeri coastal area.

Substantiating the excitation conditions of a two-module vibration-driven locomotion system with two unbalanced rotors

Vibration-driven locomotion systems are widely used in various industries, particularly, in the form of capsule-type robots, wheeled platforms, worm-like units, etc. Because of the changeable operating conditions, such systems require continuous control of their kinematic and dynamic characteristics. The main purpose of the present paper is to define the optimal excitation conditions (forced frequencies and phase shifts) of a wheeled two-module vibration-driven robot equipped with two unbalanced rotors. The research methodology contains four stages: developing the robot’s dynamic diagram and mathematical model describing its motion; designing the robot’s simulation model in the MapleSim software; numerical modeling of the system locomotion conditions in the Mathematica software; simulating the system dynamic behavior in the MapleSim software. The obtained results show the time dependencies of the system’s kinematic characteristics at different phase shift angles of the unbalanced rotors. The major scientific novelty of this paper consists in substantiating the possibilities of adjusting the system’s operational parameters in accordance with the changeable technological requirements by means of changing the phase shift angles of the unbalanced rotors. The proposed ideas and obtained results can be used while developing new designs of robots based on the two-module vibration-driven systems and while improving the control systems for adjusting their performance in accordance with the changeable operational conditions.

A probabilistic constant amplitude life diagram modeling method for composite materials considering spatial mapping relation

AbstractConventional constant amplitude life diagrams (CLDs) model cannot reasonably describe mean stress effect and stochastic uncertainty present in the fatigue failure process of composite materials. To address this problem, taking the spatial mapping relationship between probabilistic S‐N curves and probabilistic CLD model as an entry point, a probabilistic CLD modeling method is proposed under the assumption of linear equations and the assumption of equiprobable quantile point between static strength distributions and fatigue life distributions. The p‐S‐N curve is established using fatigue test data from different load zones divided by different stress ratios.Subsequently, the p‐CLD model is derived through the spatial mapping relationship of the p‐S‐N curve. The method is validated by fatigue test data of glass fiber/polyester resin composites. The results indicate that the proposed method can offer an accurate description of the probabilistic behavior of composite materials.

PERANCANGAN SISTEM INFORMASI LEMBAGA BIMBINGAN BELAJAR LANGUAGE TRAINING CENTER (LTC) DALAM PERSAINGAN ERA GLOBALISASI

Research on the design of information systems for the Language Training Center Tutoring Institute aims to develop a more valid and effective institutional information system for administrative management of course participants. The research procedure was carried out using a waterfall diagram model through the definition phase, namely a field trip to obtain primary data regarding the problems they faced. In the design phase, the researcher designed the database, the form of input, output and interface design, in the implementation phase, the researcher used the PHP and MySQL programming languages to implement what the researcher had designed. And in the testing phase and maintenance phase it aims to determine the level of error and the achievement of the application that has been designed. The Jambi Language Training Center (LTC) Tutoring Institute in the administrative processing of student data from registration to reporting is still done manually. This system causes the administration to be less effective and efficient. For this reason, it is necessary to develop a website-based information system processing in facing business competition in this era of globalization and also to provide excellent service to the community's needs for fast information on this institution. Researchers in designing database applications use Php and Mysql. From this research an interactive website has been produced that can facilitate course institutions in processing student data and also makes it easier for users to obtain information about this institution. This research can be developed by the following researchers in the form of an Android-based application.

Mn‑carbonate deposition in a seafloor hydrothermal system (CLAM field, Iheya Ridge, Okinawa Trough): Insights from mineralogy, geochemistry and isotope studies

A seafloor hydrothermal system located at the Iheya Ridge (Okinawa Trough), named CLAM, deposits Mn‑carbonate chimneys that have no analogue found so far on the seafloor. The chimneys are composed of Mn-calcite and Ca-rhodochrosite. The crystallographic differences between these carbonates appear to control the rare earth elements (REE) partitioning between them that results in enrichment of the Ca-rhodochrosite in middle and heavy REE, and enrichment of the Mn-calcite in light REE. Chemistry of the CLAM hydrothermal fluids suggests: (1) low water/rock ratio of the hydrothermal system; (2) phase separation and dominance of low-chlorinity vapor phase; (3) sub-seafloor formation of Na-rich alteration minerals during fluid/rock reactions; (4) removal of some elements from the seawater to the host rocks during the seawater/rock interaction; (5) high Mn/Ca ratio of the basement rocks is responsible for the high Mn concentration in the hydrothermal fluids. C-O-isotope compositions of the CLAM Mn‑carbonates suggest they precipitated through binary mixing of end-member hydrothermal fluid and seawater accompanied by progressive degassing and cooling of the fluid. Mn-calcite precipitated from almost pure end-member hydrothermal fluid, whereas Ca-rhodochrosite precipitated from seawater-dominated vent fluid. Mg-isotope fractionation during Mn‑carbonate precipitation is assumed to depend on carbonate growth conditions and resulting carbonate mineralogy. S-isotope composition of the CLAM Mn‑carbonates suggests that the Ca-rhodochrosite precipitated in oxic conditions through rapid mixing of hydrothermal fluid and seawater, whereas the Mn-calcite precipitated in reduced conditions (thermochemical or microbial sulfate reduction) through slow mixing of hydrothermal fluid and seawater. Sr-isotope composition of the CLAM hydrothermal fluids is close to that of Okinawa Trough deep seawater. In contrast, Sr-isotopes in the CLAM Mn‑carbonates are more variable, indicating that Sr was derived from seawater, local lavas and sediments. Nd-isotope composition of the Mn‑carbonates indicates that Nd was derived from the local lavas and sediments. Pb in the majority of the CLAM Mn‑carbonates is of sedimentary origin (Pb isotope data), but involvement of anthropogenic Pb in the hydrothermal system is inferred for some Mn-calcite samples. Stability phase diagram modeling coupled with C-O-S-Sr-isotope data suggest that in the CLAM vent fluid the rhodochrosite is stable in a narrow Eh-pH range (6 < pH < 10; Eh > 0) and in a wide range of [Mn] and [Ca] activities, whereas calcite precipitates from a close to the end-member hydrothermal fluid in reduced conditions (Eh < 0).

Construction technology of graph and model mutual capacity in smart substation

In order to meet the requirements of automatic mapping of the smart substation models, based on the application requirements of the smart substation model construction and automatic model association configuration, the automatic generation technology of smart station diagram models is studied, and the automatic correlation modeling method and wiring diagram generation technology of primary and secondary equipment models based on the automatic matching of predefined correlation models are proposed. Support the realization of the goal of effective configuration and efficient application of the secondary system model of the smart substation.

A practical method for connectivity and coverage reliability analysis for linear wireless sensor networks

Linear Wireless Sensor Networks (LWSNs) are the most suitable wireless sensor networks (WSNs) for monitoring the condition of infrastructures with linear typologies, e.g., railways, gas, or oil pipelines. Reliability of LWSNs is crucial for such applications due to their safety–critical or mission-critical nature. To this end, LWSNs of different designs need to be compared in terms of reliability to ascertain high-cost performance. Connectivity and coverage are fundamental metrics used to measure the reliability of LWSNs. However, to the best of our knowledge, there are no proper methods or tools to evaluate the reliability of LWSNs concurrently in terms of connectivity and coverage. In this paper, by reducing the size of system state space depending on the characteristics of LWSNs, we present a practical method for concurrent reliability analysis in terms of connectivity and coverage for LWSNs based on hybrid models of binary decision diagrams and divide-and-conquer schemes. The proposed method can be used to assess various LWSNs, e.g., networks with one or two sink nodes, as well as flat-based or cluster-based networks. Moreover, transmission and coverage ranges can be assigned to sensor nodes using this method. Case studies are presented to substantiate the viability of the proposed model, and some beneficial results are deduced, which can be considered to serve as basic principles for LWSN-design to ensure high-cost performance.

Development of Megaselia scalaris at constant temperatures and its significance in estimating the time of death.

Megaselia scalaris (Schmitz, 1938) (Diptera: Phoridae) is a common insect in forensic science that is frequently found in indoor cases, particularly on corpses in closed environments. Although this species is useful for estimating the minimum postmortem interval (PMImin) in the absence of Calliphoridae, there is a lack of data on its development in China. Herein, we studied the development of M. scalaris exposed to seven constant temperatures ranging from 16 to 34 °C. The mean (± SD) developmental durations of M. scalaris from egg to adult stage at 16, 19, 22, 25, 28, 31, and 34 °C were 1486.9 ± 75.3, 823.7 ± 42.8, 448.2 ± 59.8, 417.7 ± 19.7, 297.2 ± 27.3, 272.9 ± 10.4, and 253.0 ± 5.0 h, respectively. The mean (± SE) lower developmental threshold temperature (TL) and the thermal summation constant (K) were determined by a linear model as 12.69 ± 0.3 °C and 4965.8 ± 227.9-degree hours, respectively. A nonlinear model estimated the lower developmental thresholdtemperature, intrinsic optimum temperature, and upper lethal developmental threshold temperature as 14.58, 21.00, and 34.15 °C, respectively. We established three development models to estimate the age of the immature insect, namely the isomegalen diagram, isomorphen diagram, and thermal summation model. In addition, a regression analysis of the relationship between body length and total development time from hatching to pupariation was performed. Our findings provide a basis for applications of M. scalaris in PMImin estimations.

Simulation modeling and design of circular concrete-filled double-skin tubular slender beam-columns with outer stainless-steel tube

The stainless-steel tube has been used to construct Concrete-Filled Steel Tubular (CFST) columns because it has a high resistance to fire and corrosion, good durability, and aesthetic appearance compared to the carbon steel tube. However, there is very little published research on eccentrically loaded circular Concrete-Filled Double-skin Steel Tubular (CFDST) slender beam-columns composed of an outer stainless-steel tube and an inner carbon-steel tube. In line with this, this paper presents a fiber-based simulation model for predicting the structural performance of CFDST slender columns with external circular stainless-steel tube under eccentric compression. The simulation modeling of load-deflection curves and load-moment interaction diagrams for slender CFDST beam-columns is developed and verified by the experimental results. The verified simulation model is then used to study the effects of geometric and material properties on structural performance. The range analysis is applied to the orthogonal design to identify the relative significance of the factors that influence the structural response. The orthogonal design covers CFDST beam-columns with a hollow ratio ranging from 0.1 to 0.8. The results indicate that the column slenderness ratio is the most significant factor, followed by the loading eccentricity ratio, the outer tube thickness, stainless steel proof stress, concrete strength, and carbon steel yield strength. The accuracy of the design method specified in Australian standard AS/NZS 2327, and the proposed design methods are evaluated. The proposed equation provides accurate strength predictions of CFDST slender columns where the external skin is made of stainless steel.

Effect of Various Dynamic Shear Rheometer Testing Methods on the Measured Rheological Properties of Bitumen

A 23 factorial design experiment was conducted to study the influence of pre-heating temperature (HT) for manufacturing sample, bonding temperature (BT) onto rheometer, and trimming state (Trim) of the sample on complex shear modulus (G*) and phase angle (δ) using a dynamic shear rheometer on unmodified bitumen of types 50/70, 70/100, and two 160/220 from various sources. In addition, the black diagram and 2S2P1D model were used to evaluate the viscoelastic properties of bitumens. Findings show that the G* is more sensitive to the changes than the δ. Additionally, it was found that the 8 mm parallel plate diameter had a higher sensitivity to the trimming state than the 25 mm. The tested factor HT generally did not have a statistically significant impact on the results of the tested materials, except for 160/220_I. At practically all the temperatures tested for 50/70 and 160/220_II, the G* dropped by increasing the factor BT from a lower to a higher value. The Trim:BT interaction has the greatest impact on all materials and temperatures on G*, except for 160/220 at lower temperatures. However, in the case of δ, the Trim:BT interaction has the most significant effects for 70/100 and 160/220_II. The black diagrams show no discernible differences, which may be a result of the limited range of changes made to the variables.

The causal loop diagram model of flood management system based on eco-drainage concept

Flooding has been a recurrent problem in the Indonesian capital, especially in the northern part of Jakarta, along the Jakarta shore. The floods were caused by a number of sources. According to Renald et al. (2016), there are four critical factors in designing disaster-prone cities in Indonesia, namely spatial management, disaster adaptation, disaster mitigation, and technology innovation. Therefore, the development of infrastructure in Jakarta has started to use these four elements, by applying the concept of environmentally friendly drainage, specifically the concept of eco-drainage. This study aims to understand the general picture through the cause-and-effect relationship between all flood components. This study used a qualitative approach and was conducted using a dynamic system method to describe the Causal Loop Diagram (CLD) model, which provides information between interrelated variables and forms a complex system Rifaldi et al. (2021). The model generated from the dynamic system can be used for scenario analysis by showing how the interactions between the components that make up the structure of the system and the effects of feedback loops affect. The CLD model shown shows that the use of eco-drainage will directly affect the condition of 2 (two) other variables, both of which will lead to one main variable. The proposed settlement scenarios will result in policy and technical recommendations. This CLD model shows that the interaction between variables is very dynamic and affects each other massively and holistically. Combining dynamic system processes with SMWW can potentially improve the expected results in engineering and provide an alternative scenario.