Suitable Sites Research Articles

Community-based monitoring: shoreline change in Southwest Alaska

Arctic amplification of climate change has resulted in increased coastal hazards impacts to remote rural coastal communities in Alaska where conducting research can be difficult, requiring alternate methods for measuring change. The pilot program, Stakes for Stakeholders, was initially planned to be funded from 2016–2018. Upon project completion the work has shifted to individual community’s partnering with several agencies to continue the work. Stakes for Stakeholders was initially planned to be funded for three years and upon project completion the work has shifted to individual community’s partnering with several agencies and entities to continue the work. This research showcases a successful long-term community-based erosion monitoring program in two rural communities in Southwest Alaska. The resulting outputs from the workflow we developed were (1) locally prioritized data products, such as a hazard assessment report for Chignik Bay and (2) evaluation rubrics used to assess the suitability of future sites and the efficacy of the program. Our model of two-way communication, responsiveness to individual community needs, and attention to efficiency and effectiveness of the program workflow, can serve as a model for universities, for-profit, non-profit, Tribal, city, state, and federal research agencies and communities partnering to respond to global climate change.

Computational and experimental approaches to explore defense related enzymes conferring resistance in Fusarium infected chilli plants by regulating plant metabolism through nutritional products.

Nutritional status being the first line of defense for host plants, determines their susceptibility or resistance against invading pathogens. In recent years, the applications of plant nutrient related products have been documented as one of the best performers and considered as alternatives or/and supplements in plant disease management compared to traditional chemicals. However, knowledge about application of plant nutrient related products for the management of destructive fungal pathogen Fusarium oxysporum f.sp. capsici and their impact on the components of the antioxidant defense system, especially in chilli plants, still needs to be discovered. Therefore, in this current study, we aimed to evaluate two nutrient fertilizers viz. Krystafeed and Micro Plus at three different concentrations by soil drenching method for their effects against the Fusarium wilt of chilli and investigate the components of the antioxidant defense system of chilli plants. Correlation and computational analysis on the components of antioxidant defense system in various pathways were performed to predict the suitable binding sites of mineral ions. Results indicated that the combination of Krystafeed and Micro Plus was found the most effective with (27.01, 26.59%) disease incidence, followed by Micro Plus (29.56, 32.35%) and Krystafeed (38.21, 41.15%), both in greenhouse and field conditions, respectively. Moreover, the combination of Krystafeed and Micro Plus significantly increased the concentration of SOD (27.53, 108.96)%, POD (37.29, 45.65)%, CAT (19.33, 95.33)%, H2O2 (22.13, 118.98)%, TPC (27.39, 17.37)%, chlorophyll a (21.80, 35.74)%, chlorophyll b (57.57, 18.25)%, total chlorophyll (30.21, 19.83)%, Tocopherol (13.08, 33.66)%, TrxR (5.03, 36.56)%, MDA (13.84, 54.79)%, ascorbate (4.72, 17.28)%, Proline (5.94, 59.31)%, and phytoalexin (Capsidiol) (11.33, 55.08)% in the treated plants of resistant and susceptible chilli varieties, respectively, as compared to the untreated plants. Pearson's correlation heat-map analysis showed that all the enzymes of antioxidant defense system were found positively correlated with each other. It is concluded that the improvement of crop resistance by the application of plant nutrient related products may be viable alternatives to synthetic chemicals for managing Fusarium wilt disease of chilli and potentially other pathogens.

Scoping the suitability of water‐tolerant species of trees for swamp restorations across Australia and its Great Barrier Reef catchment

Wetlands are vital for humanity and include some of the most productive, diverse, and service‐rich ecosystems in the world. Service provided include food production (e.g., fish, birds, and vegetables), protection from flooding and storm surge inundation, provision of clean water and climate stability, and timber resources for construction. Despite these benefits, vast areas of wetlands have been drained across the globe, including in Australia. With growing awareness of the value of wetlands, there is increasing push to restore wetlands and the values they support, such as carbon sequestration. A major challenge for restoration practitioners is to identify what land parcels could be restored and what species they could support. This study scoped the environmental suitability of 125 water‐tolerant species of trees across Australia, using random forest modeling to relate records observed within the Atlas of Living Australia database with spatial datasets of soil and climatic characteristics and water observations from space. Of the 125 species of trees examined, 105 species were modeled with excellent performance. Models were then used to predict tree suitability for existing wetlands nationally, as well as across potentially suitable restoration sites within the Great Barrier Reef catchment, given the strong push for wetland restoration to improve water quality. Within the Great Barrier Reef catchment, over 2200 land parcels covering over 20,000 ha were identified as being potentially suitable for restoration with diverse tree swamps. This study allows restoration practitioners to identify where swamp restoration could occur and potentially suitable trees for planting at those locations.

Land conversions not climate effects are the dominant indirect consequenceof sun-driven CO2 capture, conversion, and sequestration

Abstract Removing carbon dioxide (CO2) from the atmosphere is required for mitigating climate change. Large-scale direct air capture combined with injecting CO2 into geological formations could retain carbon long-term, but demands a substantial amount of energy, pipeline infrastructure, and suitable sites for gaseous storage. Here, we study Earth system impacts of modular, sun-powered process chains, which combine direct air capture with (electro)chemical conversion of the captured CO2 into liquid or solid sink products and subsequent product storage (sDACCCS). Drawing on a novel explicit representation of CO2 removal in a state-of-the-art Earth system model, we find that these process chains can be renewably powered and have minimal implications for the climate and carbon cycle. However, to stabilize the planetary temperature two degrees above pre-industrial levels, CO2 capturing, conversion, and associated energy harvest demand up to 0.46% of the global land area in a high-efficiency scenario. This global land footprint increases to 2.82% when assuming present-day technology and pushing to the bounds of removal. Mitigating historical emission burdens within individual countries in this high-removal scenario requires converting an area equivalent to 40% of the European Union's agricultural land. Scenarios assuming successful technological development could halve this environmental burden, but it is uncertain to what degree they could materialize. Therefore, ambitious decarbonization is vital to reduce the risk of land use conflicts if efficiencies remain lower than expected.

Sustainable Landfill Site Selection in Urban Areas: Case Study of Millenium City in India

Landfills remain the predominant approach to managing solid waste in urban settings due to their cost-effectiveness, particularly in developing nations. In this regard, landfill site selection is a serious issue in the urban planning process because of its implications for the economy, environment, ecology, and public health. Municipal Corporation Gurugram records indicate that the city alone generates solid waste of about 1100 metric tons per day. The city's growing urban population and rapid expansion as a commercial and financial center presented numerous waste management difficulties. Existing studies lack comprehensive integration of multi-criteria decision analysis and GIS technologies for landfill site selection in rapidly urbanizing cities like Gurugram. In the present study, multi-criteria decision analysis and GIS technologies are used to identify suitable sites for landfills, considering most environmental factors. With the rate of population and settlements increasing, it is suggested that the landfill site serve for at least 20 years. In accordance with the regulations outlined in the Solid Waste Management Rules of 2016, a meticulous process was undertaken to identify and prioritize the ten most crucial criteria for evaluation in prescribed methodologies. The study's conclusions could help municipal planners and waste management authorities create an effective solid waste management system that takes into account all possible advantages and disadvantages.

Sustainable solar energy deployment: a multi-criteria decision-making approach for site suitability and greenhouse gas emission reduction

Sustainable solar energy deployment: a multi-criteria decision-making approach for site suitability and greenhouse gas emission reduction

Exploiting the DCAF16-SPIN4 interaction to identify DCAF16 ligands for PROTAC development.

Traditional small molecule drugs often target protein activity directly, but challenges arise when proteins lack suitable functional sites. An alternative approach is targeted protein degradation (TPD), which directs proteins to cellular machinery for proteolytic degradation. Recent studies have identified additional E3 ligases suitable for TPD, expanding the potential of this approach. Among these, DCAF16 has shown promise in facilitating protein degradation through both PROTAC and molecular glue mechanisms. In this study, we developed a homogeneous time resolved fluorescence (HTRF) assay to discover new DCAF16 binders. Using an in-house electrophile library, we identified two diastereomeric compounds, with one engaging DCAF16 at cysteines C177-179 and another reducing its expression. We demonstrated that the compound covalently engaging DCAF16 can be transformed into a PROTAC capable of degrading FKBP12.

Analysis of Landfill Site Suitability for Solid Waste Disposal in the Ranchi District of Jharkhand, India Using Analytical Hierarchy Process and Geo-Spatial Techniques

ABSTRACT The selection of an appropriate landfill site is a complex issue due to the involvement of numerous criteria and constraints. A non-engineered and unsuitable site can harm the environment, society and economy of an area. This paper focuses on the application of Geographic Information System (GIS) and Analytical Hierarchy Process (AHP), a multi-criteria decisionmaking technique, to determine suitable landfill sites. A total of nine parameters have been used namely; groundwater depth, slope, geology, existing landfill site, drainage density, road network, land use and land cover (LULC), railway lines and airport. The weights were calculated using AHP. A landfill site suitability map was generated with 5 classified areas namely; most unsuitable (0.07%), unsuitable (5.42%), less suitable (23.94%), moderately suitable (58.24%) and most suitable (12.38%). The areas identified in the study can be used by policymakers in both urban as well as rural developmental planning and waste management. Using the patches of land from the landfill suitability map, a decentralised community-based landfill model can also be adopted to minimize and possibly eliminate the need for large landfill sites.

Assessment of concentrated solar power (CSP) generation potential in Cameroon using a Multi-Criteria Analysis Method and Geographic Information System (GIS).

This research aims to identify wet-cooled CSP (Concentrated Solar Power) solar power plants connected to the existing electricity grid in Cameroon. This study uses a hybrid approach which combines an MDCM-AHP method (Multi-Criteria Analysis Method - Hierarchical Analysis Process) and a GIS (Geographic Information System). The elements studied are the climate (Direct Normal Irradiance (DNI), temperature), orography (slope and elevation) and location (proximity to the electricity network, proximity to roads and railways, proximity to homes), in order to determine the weight of these different factors and combine them to obtain the final map. The method was used to map and visualize unsuitable areas, as well as to rank suitable sites. According to the results, over 42.35% of the country's nland is unsuitable for the construction of CSP solar plants, mainly due to excessive land use. According to the results, 0,001% of Cameroon's land is considered "Less suitable", 44% "Suitable", 13.46% "Highly suitable" and 0.01% "Most suitable".The sensitivity study includes three different situations, namely the technical scenario (high consideration of technical factors such as DNI, temperature, elevation, and slope). The economic scenario (where economic factors such as proximity to electricity grids, roads, residential areas and watercourses are taken into account) and the equal-weight scenario (where all factors are equal) clearly demonstrate that we can find very suitable areas for the installation of CSP solar plants in Cameroon, particularly in the Far North region. A detailed analysis by region shows that the theoretical potential for CSP solar energy in regions with "Less Suitable", "Suitable", "Highly Suitable" and "Most Suitable" suitability is approximately 4242.25TWh/year, 29328.658TWh/year, 3965.25TWh/year and 5.794TWh/year. The overall potential amounts to approximately 37536.159TWh/year for all ten Canadian regions. Thanks to the model, it has been possible to identify the most suitable regions for CSP investment and offers opportunities to carry out more in-depth studies in order to choose the right site.

Site Suitability Analysis for Green Hydrogen Production Using Multi-Criteria Decision-Making Methods: A Case Study in The State of Ceará, Brazil

– Brazil is leveraging its extensive potential in solar, wind, and hydro energy to establish itself on the global map of green hydrogen production—a pivotal component in the ongoing energy transition. The economic viability of green hydrogen hinges on optimal locations with abundant renewable resources, space for solar or wind farms, access to water, and the potential for exporting to major demand centers. In this context, this study evaluates the potential for green hydrogen production in the State of Ceará, Brazil, using multi-criteria decision-making (MCDM) methods, which are designed to prioritize conflicting tangible and intangible criteria to determine the best decision alternatives. The additive ratio assessment (ARAS), simple additive weighting (SAW), combinative distance-based assessment (CODAS), and technique for order performance by similarity to ideal solution (TOPSIS) methods are evaluated for decision-making purposes, with weighting and aggregation relying on the best-worst method (BWM) and ensemble ranking. Criteria considered in the analysis include suitable areas for wind and solar farms, wind and solar energy potentials, water availability, surface temperature, electrical infrastructure, population, and local gross domestic product (GDP). The municipalities with the highest potential for renewable hydrogen production identified are Tauá (638 kton/year), Araripe (471 kton/year), and Beberibe (462 kton/year). According to the results, Araripe emerges as the most suitable municipality for green hydrogen production in Ceará.

“site suitability analysis for integrating large-scale hybrid photovoltaic and concentrated solar power plants in Cameroon using Monte Carlo, analytic hierarchy process, and geographic information system methods”

“site suitability analysis for integrating large-scale hybrid photovoltaic and concentrated solar power plants in Cameroon using Monte Carlo, analytic hierarchy process, and geographic information system methods”

A GIS-based on application of Monte Carlo and multi-criteria decision-making approach for site suitability analysis of solar-hydrogen production: Case of Cameroon

A GIS-based on application of Monte Carlo and multi-criteria decision-making approach for site suitability analysis of solar-hydrogen production: Case of Cameroon

Site Suitability Analysis for Provision of Ecosystem Services for Sustainable Waterfront Development

The "area of a town near an area of water, such as a river or the sea" and "the interface between land and water" were two ways to define the urban waterfront. This study aimed to shed light on the pressing issue of management service deficits within canal environments, emphasizing the detrimental consequences of canal encroachment, such as heightened flood vulnerability, dwindling groundwater recharge, and the loss of ecosystems and biodiversity. Based on these issues, the study identified suitable sites for sustainable waterfront development by conducting an in-depth analysis and employing geospatial mapping techniques. The criteria included proximity to water bodies, flora and fauna, urban green space, urban built-up areas, urban fellow land, and road access, and utilized GIS, KII, and community people consultations. The study addressed the practical challenges that the capital cities of Bangladesh and similar cities worldwide face in reconciling the demands of urban development with ecological conservation. The study’s aims, new findings, and contributions to the current literature are integral to advancing the discourse on sustainable urban development. Among the 4,316 evaluated locations, 50% were deemed entirely suitable, 37% predominantly suitable, and the remaining locations had lower suitability levels, including 10% slightly acceptable and none moderately suitable. This research provides actionable insights to inform urban planners, policymakers, and researchers on the creation of resilient and competitive urban regions by addressing the urgent need for holistic solutions that balance environmental preservation, social equity, and economic viability.

Suitability analysis of ecological park site selection in small and medium-sized cities based on multi-source geographic big data

In the context of rapid urbanization, the scientific planning and development of ecological parks in small- to medium-sized cities are essential for enhancing the well-being of city dwellers and optimizing the ecological quality of urban environments. Traditional site suitability methods, however, are increasingly limited due to data resolution constraints and the challenges of balancing ecological protection, urban development, and socio-economic interests, which hardly provide insights for ecological park planning in small and medium-sized cities. This study addresses these limitations by employing a multi-source geographic big data framework, and applying it in Yongji City, Shanxi Province, by integrating remote sensing, Points of Interest, and land use data, a detailed 10m × 10m spatial grid was used for analysis. A comprehensive three-dimensional evaluation framework was developed, comprising ecological, infrastructural, and socio-economic factors, represented by 11 indicators. Points of Interest data have effectively assessed infrastructural configurations necessary for urban ecological parks, while remote sensing data provides critical insights into surface temperature and vegetation cover, which provide high-resolution indicators of environmental quality in urban and sub-urban regions. The site suitability analysis results reveal that hydrophilic landscapes, such as the Yellow River mudflats and Wuxing Lake wetlands, were identified as optimal areas for ecological park development due to their cooling effects and ecological benefits. Zone C, located southwest of Wuxing Lake, emerged as the ideal site due to its abundant natural assets and high accessibility, with a phased development strategy of other recommended sites based on their suitability. This research establishes a data-integrated framework that advances the methodology for urban ecological park planning in small- to medium-sized cities, providing both theoretical and practical insights that can inform similar projects in other urban contexts.

Optimizing Site Selection for Construction: Integrating GIS Modeling, Geophysical, Geotechnical, and Geomorphological Data Using the Analytic Hierarchy Process

Identifying suitable sites for urban, industrial, and tourist development is important, especially in areas with increasing population and limited land availability. Kharga Oasis, Egypt, stands out as a promising area for such development, which can help reduce overcrowding in the Nile Valley and Delta. However, soil and various environmental factors can affect the suitability of civil engineering projects. This study used Geographic Information Systems (GISs) and a multi-criteria decision-making approach to assess the suitability of Kharga Oasis for construction activities. Geotechnical parameters were obtained from seismic velocity data, including Poisson’s ratio, stress ratio, concentration index, material index, N-value, and foundation-bearing capacity. A comprehensive analysis of in situ and laboratory-based geological and geotechnical data from 24 boreholes examined soil plasticity, water content, unconfined compressive strength, and consolidation parameters. By integrating geotechnical, geomorphological, geological, environmental, and field data, a detailed site suitability map was created using the analytic hierarchy process to develop a weighted GIS model that accounts for the numerous elements influencing civil project design and construction. The results highlight suitable sites within the study area, with high and very high suitability classes covering 56.87% of the land, moderate areas representing 27.61%, and unsuitable areas covering 15.53%. It should be noted that many settlements exist in highly vulnerable areas, emphasizing the importance of this study. This model identifies areas vulnerable to geotechnical and geoenvironmental hazards, allowing for early decision-making at the beginning of the planning process and reducing the waste of effort. The applied model does not only highlight suitable sites in the Kharga Oasis, Egypt, but, additionally, it provides a reproducible method for efficiently assessing land use suitability in other regions with similar geological and environmental conditions around the world.

Microbial diversity and biogeochemical interactions in the seismically active and CO2- rich Eger Rift ecosystem.

The Eger Rift subsurface is characterized by frequent seismic activity and consistently high CO2 concentrations, making it a unique deep biosphere ecosystem and a suitable site to study the interactions between volcanism, tectonics, and microbiological activity. Pulses of geogenic H2 during earthquakes may provide substrates for methanogenic and chemolithoautotrophic processes, but very little is currently known about the role of subsurface microorganisms and their cellular processes in this type of environment. To assess the impact of geologic activity on microbial life, we analyzed the geological, geochemical, and microbiological composition of rock and sediment samples from a 238m deep drill core, running across six lithostratigraphic zones. We evaluated the diversity and distribution of bacterial and archaeal communities. Our investigation revealed a distinct low-biomass community, with a surprisingly diverse archaeal population, providing strong support that methanogenic archaea reside in the Eger subsurface. Geochemical analysis demonstrated that ion concentrations (mostly sodium and sulfate) were highest in sediments from 50 to 100m depth and in weathered rock below 200m, indicating an elevated potential for ion solution in these areas. Microbial communities were dominated by common soil and water bacteria. Together with the occurrence of freshwater cyanobacteria at specific depths, these observations emphasize the heterogenous character of the sediments and are indicators for vertical groundwater movement across the Eger Rift subsurface. Our investigations also found evidence for anaerobic, autotrophic, and acidophilic communities in Eger Rift sediments, as sulfur-cycling taxa like Thiohalophilus and Desulfosporosinus were specifically enriched at depths below 100m. The detection of methanogenic, halophilic, and ammonia-oxidizing archaeal populations demonstrate that the unique features of the Eger Rift subsurface environment provide the foundation for diverse types of microbial life, including the microbial utilization of geologically derived CO2 and, when available, H2, as a primary energy source.

Mid-term angiographic evaluation of LIMA-LAD anastomoses following LAD endarterectomy in coronary artery bypass grafting

ObjectiveDiffuse coronary artery disease remains a critical issue that heart surgeons continue to research in terms of treatment options. An alternative method applied during coronary bypass surgery to achieve complete revascularization is coronary artery endarterectomy. Since the reliability of this technique and its effects on mortality and morbidity are still debated in the literature. Our objective in conducting this study is to determine the mid-term patency rates in patients who underwent LAD endarterectomy and to explore its future applicability.Materials and MethodsThis study reviewed 20 patients who underwent coronary endarterectomy during CABG in our clinic between January 2014 and December 2021. The data, including contrast imaging to check graft patency, were evaluated retrospectively by reviewing hospital archives and patient files. Patients without LAD endarterectomy were excluded from the study.ResultsLAD endarterectomy and patch-plasty were performed on all patients in the study. In 17 patients, the LIMA graft was anastomosed onto the patch applied to the LAD. It was observed that 12 of the grafts anastomosed to the LAD (60%) were patent during a mean follow-up period of 32.8 ± 25.9 months. The average 4-year survival rate was found to be 95%. Perioperative myocardial infarction occurred in 5 patients (25%). There was no need for high-dose inotropic support, IABP, or ECMO in the postoperative period.ConclusionCoronary artery endarterectomy should be considered a viable option for surgeons to achieve satisfactory revascularization in cases where suitable anastomosis sites on coronary arteries to ensure adequate outflow are not available. Our findings align closely with literature reports indicating that endarterectomy performed on the LAD, with LIMA used as the conduit, leads to promising outcomes.

Unveiling coastal ecosystem dependencies: multifactorial analysis of climate change influencing mangrove system in the United Arab Emirates over the period 1990–2020

Mangroves are an integral part of the coastal ecosystems, demonstrating resiliency against adverse anthropogenic and environmental effects. They provide blue carbon stock and security against coastal erosion and act as a nutrient source for many aquatic inhabitants along with providing raw materials for human consumption. However, mangroves continue to perish due to several climate factors. Past research has indicated some environmental factors influencing the growth and sustenance of mangrove forests. This paper aims to study the impact of the climate changes on the UAE mangrove forests during the period 1990–2020. The climate change related factors studied include surface temperature, sea-level rise, salinity, and coastal inundation. Here, remote sensing techniques and supervised machine learning methods were utilized to derive the climatic factors. The correlations between mangrove and these factors were investigated as well. It was revealed that Land Surface Temperature is closely related to mangrove and that mangrove biomass was highest in the land surface temperature range 30–35 °C. Results have not shown a clear correlation between tidal inundation and mangroves. Furthermore, outputs also showed that mangrove biomass was negatively affected by sea-level rise. The analysis showed a general positive relationship between mangrove and salinity corresponding to an increase in mangrove biomass which was only found when conducting spatial analysis, however site-specific analysis (i.e., temporal) showed an increase in mangrove density with decrease in salinity. These findings could potentially aid in facilitating the identification of suitable new sites for plantation or existing sites for rehabilitation of mangroves in UAE in addition to formulating policies at the highest level for mangrove conservation.

Venipuncture site and population affect blood analytes in head-started and free-ranging eastern box turtles (Terrapene carolina).

To compare head-started and free-ranging eastern box turtle (Terrapene carolina) blood analytes to evaluate head-starting practices and venipuncture site suitability. Eastern box turtles were head-started by Jekyll Island State Park Authority's Georgia Sea Turtle Center. Free-ranging resident box turtles on Jekyll Island State Park were captured. A physical examination and CBC were performed. Blood collection was performed from a jugular vein and the subcarapacial venous sinus. Passive integrated transponder tags were placed prior to release. Recapture and repeat assessments were attempted annually. Blood analyte data were analyzed for observational study of effects of group (head-started or free-ranging) and venipuncture site. Jugular blood samples from 15 head-started turtles (mostly immature; 88 samples) had lower total solids, lower heterophil-to-lymphocyte ratio, and higher lymphocytes than jugular samples from 24 free-ranging turtles (mostly adult; 64 samples). In head-started individuals, PCV, total solids, WBC count, and heterophils were lower in subcarapacial than jugular samples. Disparities between head-started and free-ranging turtles could indicate variance in stress, age, sex, or season. The jugular vein is the most suitable venipuncture site in comparison to the subcarapacial venous sinus, which exhibited lymphatic and/or CSF dilution. Results of the present study provide insight into variances in head-started and free-ranging box turtle populations, which must be considered for accurate hemogram interpretation. The importance of standardized protocol and serial sampling from individuals is emphasized, as values may vary by venipuncture site, population, and intrinsic factors (eg, age, sex, season) within species.

Municipal solid waste management practices and sanitary landfill site selection using the AHP approach for emerging industrial zones

Selecting the right location for waste management is crucial for emerging and rapidly growing industrial towns. The intricate nature of waste management systems necessitates careful consideration of numerous options and evaluation criteria when selecting a suitable landfill site. This study, conducted in Arerti Town, Ethiopia, utilized the GIS and Analytical Hierarchy Process (AHP) to establish a hierarchical model for identifying a suitable landfill location by considering the ten main influencing factors (groundwater table depth, proximity to boreholes, slope, soil, geology, land use, land cover, proximity to reservoirs and proximity to lineaments, built-up area, and road availability). Besides, GIS were used to manipulate and display spatial data, with all maps graded on a scale of 1 to 5, representing the lowest to highest suitability, respectively. The combined results of the AHP and GIS analyses indicated that 20.6% of the study area was deemed unsuitable, 77.67% moderately suitable and 1.75% highly suitable for a landfill. We chose a 12.5-hectare site in the southwest as the optimal location, taking into account future town expansion and its proximity to urban areas and roads. The findings of this study serve as a valuable resource for decision-makers in assessing waste management challenges in emerging towns and rapidly developing urban areas.