Environmental Control Applications Research Articles

Revolutionizing pollution control with innovative CuO@TiO2 nanocomposite for enhanced photocatalytic degradation and antimicrobial efficacy

Facing the crisis of rising global pollution levels and the increasing threat of new pathogens, innovative and efficient strategies for degrading industrial waste and eliminating harmful pathogens are urgently needed. Therefore, we carefully designed and integrated CuO@TiO2 nanocomposite with a p-n heterojunction structure. Tests such as XRD, SEM, EDS and TEM showed that CuO was successfully and uniformly compounded on the surface of TiO2 to form nanoparticles with an average particle size of about 21 nm. Through carefully controlled experiments, we have demonstrated that these nanocomposites can degrade methylene blue by up to 83.90 % under irradiation with a xenon lamp, and maintain a relatively stable high degradation rate in repeatable photocatalytic tests, which highlights their great potential for pollution reduction. In addition, these nanocomposites also have a certain antibacterial effect. After 12 h of incubation in the dark, the bacterial survival rate was reduced to 94.07 %, and under light conditions, it was reduced to 92.35 %. It can be clearly seen under the microscope that the cell contents have leaked out and appear flocculent due to the rupture of the bacterial cells. These results are attributed to the synergistic effect of the release of Cu2+ and photocatalytic activity in the nanocomposite. This integrated approach positions CuO@TiO2 nanocomposite as a sustainable and cost-effective alternative to conventional antimicrobial agents and photocatalysts, paving the way for their wide application in environmental purification and microbial control.

Carbon Dots Derived from Jaggery Via Direct Heating: A Sensitive Platform for Ferric Ion Fluorescent Sensing

AbstractPhotoluminescent carbon dots (CDs) have greatest potential in fluorescence sensing, energy, bioimaging and environmental pollutant sensing. Heteroatom doping have dramatically enhanced fluorescent properties and stability of CDs. In this work, sulfur doped carbon dots (DCDs) using jaggery as carbon precursor through direct heating method at 180 °C. The synthesized DCDs were characterized through XRD, FTIR, XPS, TEM, Fluorescence and UV‐Visible spectroscopic techniques. The DCDs have 9 nm particle size with amorphous nature and surface decorated with −OH, C−S, C=O functional groups on surface because of contribution of major element like C, O, and S elements. The DCDs showing bright blue emission having 360 nm excitation and 460 nm emission wavelength. Further, the DCDs were employed for metal ion sensing and it selectively detects Fe3+ metal ion with 1.92 μg/mL of detection and 5.84 μg/mL limit of quantification. The experiment follows static quenching mechanism which is confirmed by fluorescence life time experiment. This low‐cost, time effective fluorescent sensitive carbon dots have potential application in environmental pollution control, biomedical and forensic applications.

Synergistic effects of micronanobubbles and AC/Ag–TiO2 nanocomposites in photocatalytic process

The AC/Ag–TiO2 nanocomposites were prepared by sol-gel method using different concentrations of Ag. Comprehensive characterization of the crystalline structure, surface morphology, elemental composition, and optical properties of the AC/Ag–TiO2 photocatalysts was carried out using XRD, FTIR, SEM, EDX, TEM, and UV–vis DRS techniques. Consequently, a detailed investigation into the photocatalytic degradation of Indigo Carmine (IC) and Reactive Black 5 (RB5) dyes was conducted, thoroughly examining the involved photocatalytic mechanisms. The study revealed promising outcomes, particularly with the hybrid photocatalyst AC/0.5%Ag–TiO2, showcasing enhanced characteristics in both photooxidation and absorption processes, thereby boosting overall efficacy for IC (70.15%) and RB5 (69.9%). Remarkably, the introduction of small air bubbles significantly improved the removal efficiency of IC and RB5 dyes, achieving removal levels of 93.66% and 88.66%, respectively. The utilization of these micro-nanobubble systems (MNBs) resulted in notably higher first-order reaction constants compared to scenarios without MNBs, indicating the pivotal role of the photocatalyst in dye removal processes. Additionally, the photocatalyst showed unmatched efficacy in eliminating the pesticide carbaryl, attaining 100% removal with and without the presence of MNBs. Moreover, the AC/Ag–TiO2 photocatalyst exhibited significant inhibition of both gram-positive and gram-negative pathogenic bacteria, showcasing its capability to curb their growth even without MNB aeration. This underscores its potential for applications in environmental remediation and microbial control.

Raspberry-Pi Based Smart Environmental Monitoring and Controlling System

This study presents the design and implementation of an Internet of Things (IoT) based framework for continuous monitoring and control of air quality parameters. The system incorporates various sensors, including the DHT11 for temperature and humidity measurement, the MQ-135 for gas detection, an LM393 comparator sensor for rainfall detection, and an additional 12V fan controlled by a relay. These sensors seamlessly interface with a Raspberry Pi, serving as the central control unit. The collected data is transmitted to the ThingSpeak cloud platform for real-time visualization and analysis. The system's architecture allows for remote monitoring and control of air quality parameters, facilitating proactive decision-making for environmental management. Experimental results demonstrate the system's effectiveness in providing accurate and timely information about temperature, humidity, rainfall, and gas concentrations in the air, making it a valuable tool for environmental monitoring and control applications.

UV-induced simultaneous oxidation/reduction of cefixime and chromium

This study explores a novel approach utilizing a UV-based photo-removal process to simultaneously eliminate organic (Cefixime-CFX) and inorganic (chromium) pollutants from wastewater. The photoreactor's configuration, segregating wastewater inlets and outlets, facilitates efficient removal. The study investigates the effect of various parameters such as pH, CFX:Cr molar ratio, and kinetic models on the removal efficiency.Analytical methods involve high-performance liquid chromatography for CFX concentration determination and atomic absorption for chromium measurement. Results showed that higher pH levels favored enhanced photo-removal of both compounds, with pH 9 displaying optimal removal efficiencies of 100 % for CFX and 46.7 % for chromium. The CFX/Cr molar ratio of 20:1 exhibited superior removal rates, achieving approximately 100 % CFX and 82.3 % chromium removal within 25 min. Additionally, kinetic analyses indicated the importance of pH in accelerating organic breakdown and subsequent production of reducing and oxidizing species, facilitating chromium precipitation. Effluent toxicology tests using the Kirby & Bauer method indicate a significant reduction in toxicity over time, suggesting the suitability of the effluent for discharge into the environment. Additionally, sludge analysis through FTIR identifies various chromate species produced during the photo-removal process, contributing to a comprehensive understanding of sludge composition. The investigation demonstrates that the UV-based photo-removal process efficiently removes both organic and inorganic pollutants while minimizing energy consumption and avoiding the formation of hazardous secondary intermediates. This study provides insights into a sustainable and effective method for wastewater treatment, with potential applications in environmental protection and pollution control.

Preliminary Approach for UAV-Based Multi-Sensor Platforms for Reconnaissance and Surveillance applications

Context: Unmanned Aerial Vehicles (UAVs) equipped with remote sensing platforms have become increasingly popular due to their applications in aerial surveillance, environmental control, and disaster response. However, the limited flight range and on-board energy resources of UAVs pose significant challenges to their practical deployment and operating efficiency, which has led to the exploration of energy-efficient platforms for remote sensing. Method: This paper proposes a preliminary approach for UAV multi-sensor reconnaissance and surveillance platforms (MRSS) that target low energy consumption. The approach implemented four sensor modules controlled by one multi-functional integrated edge computer for control and data collection, which can be interchanged according to battery lifetime requirements. Results: The main contribution of this work was an analysis of the energy consumption behavior of sensor modules managed by an embedded system with edge computing capabilities as the central control unit. Conclusions: The high energy consumption associated with modules such as GEOINT leads to deep discharge in excess of 20 % DOD, resulting in a maximum battery degradation of 2,4 years.

Content, Composition, and Biosynthesis of Anthocyanin in Fragaria Species: A Review

Anthocyanins are responsible for fruit coloration and are beneficial to human health. The fruits of cultivated strawberry (Fragaria ×ananassa) varieties are colorful, a trait that attracts consumers. The fruits of wild Fragaria species, close relatives of the cultivated strawberry, vary in color. In this review, we describe the content and composition of anthocyanins in cultivated and wild strawberry varieties. We also explore the biosynthetic pathway of anthocyanins, including their transcriptional regulation mechanisms. Additionally, we discuss the effect of environmental factors on anthocyanin accumulation. This review will inform further studies toward developing anthocyanin-rich strawberries via environmental control and exogenous application of compounds.

A novel 3D solar evaporator constructed based on the principle of interface evaporation and its application in oil removal and environmental control

It is a challenge to construct devices for producing clean and purified water. In this paper, devices assembled using an aerogel-hydrogel composite and a floating layer were used to produce clean water while purifying water sources. A low-surface-tension polymer and bismuth molybdate were loaded to the surface of a carrier through co-deposition. The contact angle of the constructed superhydrophobic fabric, canvas and felt was 162°, 159° and 160° respectively. Even under the external force of deformation, the beads still quickly left the surface, showing a low adhesion effect. The purification efficiency of the assembled self-floating solar steam generator was 99.82 % and 99.48 % for rhodamine B (Rh B) and methyl orange (MO) respectively, whose mechanical stability and salt suppression capacity were demonstrated through stress–strain curves and photothermal experiments with a high saline concentration (10 wt% NaCl). Through the introduction of bismuth molybdate in the floating layer, not only the roughness increased, but the properties of photodegradation performance were also achieved. Through an active substrate capture test and a band structure analysis, the h+ played a decisive role in the degradation process. The valence and conduction band position of the catalyst were 2.28 eV and −0.35 eV, respectively.

Perovskite nanomaterials with exceptional photocatalytic properties for oxidative desulfurization of dibenzothiophene

LaTiO3, LaZnO3, and Zn-doped LaTiO3 (LaZn0.5Ti0.5O3) perovskite catalysts are used for the aerobic photocatalytic oxidative desulfurization (APODS) of organosulfur compounds such as dibenzothiophene (DBT). Several techniques were used to characterize the synthesized photocatalyst, XRD, SEM, TEM, EDX, UV–Vis, DRS, PL, and XPS physisorption analyses. XRD patterns of LaZn0.5Ti0.5O3 is similar to pure LaTiO3 without any impurities confirming the insertion of atomic zinc into the LaTiO3 lattice structure. According to the obtained results, synthesized doped perovskite exhibits a more significant photocatalytic reaction than pure perovskite in removing DBT in the following order LaZn0.5Ti0.5O3 > LaZnO3 > LaTiO3 in the values 99.97, 91.38 and 76.05 % within 180 minutes under sunlight. The pseudo-first-order kinetic reaction model fits well with the results of the kinetic study. A reaction mechanism for LaZn0.5Ti0.5O3 was proposed using UV– Vis and XPS. At wavelengths above 400 nm, UV–Vis DRS confirms the absorption edges of the compound, which in this case equates to a visible light absorber with a band gap of 2.9 (eV). Superoxide radicals and holes were determined to be the primary active species in the photocatalytic process due to the reactive species and oxygen bubbles acting as trapping agents. The developed photocatalytic material was also highly regenerative and recyclable. The photocatalyst LaZn0.5Ti0.5O3 is first utilized in the photocatalytic oxidation of DBT. LaZn0.5Ti0.5O3 is a promising photocatalyst for environmental control and relevant applications, especially in solar energy.

Comparative genomics provides insights into the phylogeny and environmental adaptations of Peritrichia (Protista, Ciliophora) – A potential resource for environmental pollution control and bioremediation

Peritrichs are one of the largest groups within the class Oligohymenophorea. They have a worldwide distribution and a high degree of species diversity. Using the single-cell genome sequencing technique, we obtained the genomes of five sessilid peritrichs. Combining both genomic and transcriptomic data of other publicly available oligohymenophorean ciliates (including the genomes of three sessilid peritrichs from our team’s previous study), we conducted a comparative genomics study. Our phylogenomic analyses using both maximum likelihood and Bayesian inference methods recovered the subclass Peritrichia and each of its two orders (Sessilida and Mobilida) as being monophyletic. The non-monophyly of two families (Vorticellidae and Zoothamniidae) was also well supported in both trees. Molecular clock analysis showed that the origin of the subclass Peritrichia was estimated to be during the late Proterozoic. We also analyzed the stop codon usage of 44 oligohymenophoreans. The results showed that most of these species used TGA as the biased stop codon and reassigned the other two stop codons (TAA and TAG) to code amino acids. In addition, we found that the presence of a typical peritrich lorica is a plesiomorphic character of the family Vaginicolidae. Through GO enrichment analysis for group-specific orthogroups of Vaginicolidae, we successfully identified the biological process and molecular function GO terms that were linked with the typical peritrich lorica, including three glycosaminoglycan-related and two chitin-related GO terms. Finally, our enrichment analyses of significantly expanded gene families in Peritrichia found that sessilids were more tolerant to environmental stress (mainly organic matter) than mobilids, suggesting that peritrich lineages (especially sessilids) may have the potential for application in environmental pollution control and bioremediation. Together, the results presented in this study will facilitate wider genome-scale phylogenetic analyses of Peritrichia and deepen the understanding of their unique advantages for environmental pollution control bioremediation.

Preparation of Photocatalyst, Reaction Mechanism and Its Application in Environmental Control

At present, due to the overuse of resources in the process of human development and the neglect of the concept of green development, environmental pollution has become increasingly serious, which has become a major problem to be solved all over the world. Common environmental pollution, such as wastewater pollution, air pollution and bacterial pollution, pose a great threat to the ecological environment and human health. As a material emerged in the 1930 s, photocatalyst has been proved to be able to effectively degrade a variety of inorganic and organic pollutants, and most of the reactions are green and environmentally friendly. It will not produce more pollutants, can effectively alleviate the environmental crisis, and is widely used in antibacterial, resource development and other fields. This paper mainly introduces the preparation methods of three common photocatalysts, the mechanism of TiO2 photocatalyst, and the application of photocatalyst in environmental governance.

RF sputtered CuO anchored SnO2 for H2S gas sensor

To achieve good living standards, it is critical to make high-performance toxic gas sensing devices for public safety, environmental pollutant control, industrial operations, and other applications. For this purpose, we demonstrate CuO anchored SnO 2 nanostructures for H 2 S gas sensors. The selectivity was improved by anchoring with CuO for a total 60 s duration at four equal consecutive cycles to achieve good selectivity towards H 2 S molecules. The pristine CuO shows instability and metallic behaviour when it is exposed to H 2 S for a longer time. Furthermore, the proposed gas sensor shows good selectivity toward H 2 S as compared to other gases H 2 , NO 2 , CO 2 , and NH 3 . The sensing response was measured at around 69 % at the optimal operating temperature of 150 °C. It is observed that CuS formation has better selectivity as compared to pristine SnO 2 and a slight improvement in sensitivity is observed. As a result, a promising strategy for designing and producing good-performance H 2 S gas sensors would be to CuO anchor on SnO 2 nanostructures. The proposed sensors may be integrated with IoT platforms and used for the detection of H 2 S in the sewer line and leak detection in the petroleum industry. • SnO 2 thin film was anchored with CuO at different time duration using RF sputtering for H 2 S gas sensing. • The sensor exhibits higher sensing response of 69 % at 150 ºC for 100 ppm of H 2 S with a LoD of 1 ppm. • Comparative analysis was performed for H 2 S gas detection for both SnO 2 and CuO/SnO 2 based sensors. • Excellent selectivity and slight improved sensitivity was observed with CuO/SnO 2 based gas sensor.

Intelligent temperature-pH dual responsive nanocellulose hydrogels and the application of drug release towards 5-fluorouracil

As the typical bio-macromolecules, cellulose and its derivates are widely studied due to the fact that they are green and renewable resources in nature. In this work, intelligent temperature-pH sensitive nanohydrogels consisting of nanocellulose, thermal responsive monomer (N-isopropylacrylamide, NIPAM), and pH responsive monomer (acrylic acid, AA; acrylamide, AM) were prepared [NFC-g-(AA/AM)]-g-NIPAM, the [NFC-g-(AA/AM)]-g-NIPAM was characterized by FTIR, scanning electron microscope (SEM), thermogravimetric analysis (TGA) and automatic gas adsorption analysis (BET). The results showed that the copolymerization of AA, AM and NIPAM were carried out successfully. The specific surface area, total pore volume, average pore diameter and thermal stability of the modified nano-cellulose were increased. In addition, the as-prepared nanohydrogels with 5-fluorouracil (5-FU) released more 5-FU at 40 °C and acidic condition compared to the room temperature and neutral pH, showing the characteristics of the temperature-PH dual response functionalization. The [NFC-g-(AA/AM)]-g-NIPAM have been proved to be the promising drug release nanohydrogels towards 5-FU, and the valuable findings might provide an idea for maximizing the potential of the nanocellulose-based nanohydrogels for the application of environmental pollution control.

Developing an Instructional Suite for the Amazon Echo to Support Novice Older Adults' Use.

Digital home assistants (e.g., Amazon Echo) hold great potential to support older adults across a wide range of abilities to improve or maintain their quality of life. However, these devices and other related environmental control applications are not equipped with sufficient support for successful technology adoption among older adults. Without useful and usable information for guidance during the initial and continued use of these technologies (i.e., facilitating conditions), older adults may not sufficiently learn how to best utilize them, which is a primary barrier to technology adoption among this population. Our goal was to iteratively develop and test an instructional suite to support set up and use of an Amazon Echo Show and related connected technologies by older adults. Our human factors approach provides a roadmap to inform future instructional development for older adults to learn smart and connected technologies.

Bifunctional metastable LaOCl@hcp-Ni nanocomposite via Mott-Schottky effect for improved photoelectrocatalytic and photocatalytic activities

Fabrication of low-cost, stable and highly efficient catalysts for clean energy and environmental control applications is an urgent task. In this work, we have successfully synthesized a multifunctional two-dimensional rare earth-based LaOCl@hcp-Ni heterostructure via a simple one-pot method. Here, the semiconductor LaOCl nanoparticles were well deposited on the metastable metal hcp-Ni, and the hexagonal close-packed structure of hcp-Ni matched the layered-structure LaOCl to form a highly active LaOCl@hcp-Ni Schottky catalyst. Furthermore, LaOCl@hcp-Ni were tested for Photoelectrochemical (PEC) oxygen evolution reaction (OER) in alkaline media and the photocatalytic (PC) degradation of Rhodamine B (RhB) in aqueous solution. LaOCl@hcp-Ni shows excellent PEC-OER catalytic activity and RhB degradation performance under artificial simulated sunlight. This enhancement of PEC and PC performance is due to the Schottky interface constructed by the coupling of hcp-Ni and LaOCl, which generates an interface electric field to effectively promote the transfer of photogenerated electrons from the semiconductor LaOCl to the metal hcp-Ni through the interface. Thus, energy band gap of LaOCl with oxygen defects is adjusted to the visible light region and their valence state of La is lowered, realizing high-efficiency visible light catalytic activity. Thus, it would be a potential rare earth-based Schottky catalyst, which can be used for the PEC oxygen evolution and the PC degradation of organic pollutants. • We successfully synthesized a bifunctional LaOCl@hcp-Ni nanocomposite as Schottky catalyst for PEC-OER and PC degradation of RhB. • Metal hcp-Ni with a metastable structure has high catalytic performance due to its low symmetry. However, its synthesis is difficult and usually requires high pressure conditions. We successfully synthesized hcp-Ni under mild oleylamine solution conditions at 320 °C. • This enhancement of PEC and PC performance is due to the Schottky interface effect between the semiconducting LaOCl and the metallic hcp-Ni, as well as the synergistic effect of the structural distortion and defects of the LaOCl.

Photonic Crystals: A Review as Promising Tool for the Selective Detection of Toxic Gases

Photonic crystals (PhCs) based sensing nanotechnology has gained a lot of attention because of its unique structural and morphological characteristics. With the potential utility, these PhC materials are promising as sensitive, selective, economical, portable, and visually detectable gas/vapor sensors for environment quality monitoring. This review focuses on current progress in the natural and artificial PhCs for gas sensing. We will discuss different PhCs including morpho butterfly wings and their nanostructure mimics, porous silicon, Bragg stacks, and colloidal crystals. Moreover, their fabrication techniques for PhCs sensing materials, structural modifications, and sensing mechanisms will be analyzed. In this review article, we highlighted the problem and solution as emerging trends for recent advances in PhCs-based sensors and their applications in environmental monitoring and pollution control. Furthermore, this study envisions new methodologies for PhCs-based sensors that will be highly advanced and effective.

Experimental determination of high energy density lithium nitrate hydrate eutectics

Congruently melting salt hydrates absorb and release heat reversibly upon melting and solidification, and have among the highest energy density and thermal conductivity of low melting point (<50 °C) phase change materials. However, very few salt hydrate systems have been identified that congruently melt near room temperature, which limits their utility in environmental control applications. Here we present thermochemical and thermophysical properties of three near-room temperature ternary eutectic salt hydrate systems based on lithium nitrate trihydrate with high specific energy densities: LiNO3·3(H2O)-LiNO3-MgNO3·6(H2O) (Teu = 25.3 ± 0.3 °C; ΔHeu = 249 ± 9 J·g−1), LiNO3·3(H2O)-LiNO3-NaNO3 (Teu = 25.8 ± 0.5 °C; ΔHeu = 285 ± 15 J·g−1), and LiNO3·3(H2O)-LiNO3-Zn (NO3)2·6(H2O) (Teu = 13.4 ± 0.5 °C; ΔHeu = 197 ± 11 J·g−1). Thermal conductivity of the liquid LiNO3·3(H2O)-LiNO3-NaNO3 ternary eutectic is k/W·m−1·°C−1 = 0.498 + 0.000523 × T/°C over the temperature range 25 to 65 °C. Finally, we report undercooling in the presence of multiple nucleation agents in the LiNO3·3(H2O)-LiNO3-NaNO3 eutectic, and demonstrate the effectiveness of including multiple nucleation agents to nucleate the three phases, which solidify simultaneously in these ternary eutectics. Isothermal solidification data, as well as aging of salt hydrates together with nucleation agents for up to 100 days demonstrate that this is a robust and stable system.

A CFD-based surrogate model for predicting flow parameters in a ventilated room using sensor readings

In this work, we develop a computational fluid dynamics (CFD)-based surrogate model, which predicts flow parameters under different geometrical configurations and boundary conditions in a benchmark case of a mechanically ventilated room with mixed convection. The model inputs are the temperature and velocity values in different locations, which act as a surrogate of the sensor readings. The model’s output is a set of comfort-related flow parameters, such as the average Nusselt number on the hot wall, jet separation point, average kinetic energy, average enstrophy, and average temperature. We tested four different machine learning methods, among which we chose the gradient boosting regression due to its accurate performance. We also adapted the developed model for indoor environment control applications by determining the optimal combinations of sensor positions which minimize the prediction error. This model does not require the repetition of CFD simulations in order to be applied since the structure of the input data imitates sensor readings. Furthermore, the low computational cost of the model execution and good accuracy makes it an effective alternative to CFD for applications where rapid predictions of complex flow configurations are required, such as model predictive control.

Feasibility of SERS-Active Porous Ag Substrates for the Effective Detection of Pyrene in Water

Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous pollutants that are typically released into the environment during the incomplete combustion of fossil fuels. Due to their relevant carcinogenicity, mutagenicity, and teratogenicity, it is urgent to develop sensitive and cost-effective strategies for monitoring them, especially in aqueous environments. Surface-enhanced Raman spectroscopy (SERS) can potentially be used as a reliable approach for this purpose, as it constitutes a valid alternative to traditional techniques, such as liquid and gas chromatography. Nevertheless, the development of an SERS-based platform for detection PAHs has so far been hindered by the poor adsorption of PAHs onto silver- and gold-based SERS-active substrates. To overcome this limitation, several research efforts have been directed towards the development of functionalized SERS substrates for the improvement of PAH adsorption. However, these strategies suffer from the interference that functionalizing molecules can produce in SERS detection. Herein, we demonstrate the feasibility of label-free detection of pyrene by using a highly porous 3D-SERS substrate produced by an inductively coupled plasma (ICP). Thanks to the coral-like nanopattern exhibited by our substrate, clear signals ascribable to pyrene molecules can be observed with a limit of detection of 23 nM. The observed performance can be attributed to the nanoporous character of our substrate, which combines a high density of hotspots and a certain capability of trapping molecules and favoring their adhesion to the Ag nanopattern. The obtained results demonstrate the potential of our substrates as a large-area, label-free SERS-based platform for chemical sensing and environmental control applications.

Soil Erodibility Factor (SEF) Database for West Coast of Sabah, Malaysia

At present, most academics and practitioners only make assumptions or simplistic correlation between soils in Sabah, Malaysia and soils in West Malaysia in order determine the Soil Erodibility Factor for Erosion and Sedimentation Control Plan (ESCP) submission apart from using The Soils of Sabah, Volume 5 which is rather archaic or obsolete. This study shall be the foundation for moves to build up databank for Department and Irrigation Drainage (DID) Sabah, Malaysia based on soil taxonomy for erosion and sedimentation control calculations. In term of environmental control application, this research provides specific required information in order to generate precise calculation in projecting the total sediment yield for ESCP for areas around the West Coast of Sabah. Findings of the study would benefit both academicians and ESCP practitioners in generating sediment yield based on Soil Map of Sabah.