Population Growth Research Articles

Classification of water quality based on dissolved solids and turbidity parameters with the utilization of total dissolved solids sensor and turbidity sensor

Clean water quality is essential for public health, but its scarcity is increasing amid population growth and industrialization. Monitoring turbidity and total dissolved solids (TDS) is essential to determine the quality of clean water. This study addresses the urgent need for accurate and reliable water quality monitoring to test the applicability of TDS and turbidity sensors in taking measurements, aiming to develop efficient monitoring solutions for public health and sustainable water management. The TDS sensor operates according to the principle of electrical conductivity, with a range of 0 to 1000 ppm and an accuracy of ±10%. The turbidity sensor detects water turbidity by determining the level of turbidity particles. The ESP32 microcontroller integrates Wi-Fi and USB capabilities. The hardware and software design ensures accurate sensor readings, which are critical to successful water quality measurement and monitoring. The test results show satisfactory accuracy of the TDS sensor with an average error of 0.09% and good accuracy of the turbidity sensor with an average error of about 1.536%. Concerning the above two parameters, in this study, among 15 water samples, seven were clean, meeting the standard, while eight water samples were dirty, exceeding the limit, making them unsafe for human consumption.

Beyond immediate relief: Investigating multi-faceted water management in inter-basin water transfer projects

Water scarcity is a compelling and complex global challenge that has far-reaching implications for both ecological systems and human societies. In response, inter-basin water transfer initiatives have been advocated as potential remedies. Though effective in providing immediate relief, the long-term viability of these initiatives is disputed. Notably, recurring scarcity can result from increased water demand in the recipient basin due to transferred water. Addressing this requires balancing water demand and supply. Beyond supply-focused measures such as water transfers, a crucial strategy involves adopting demand-focused approaches to reduce reliance on such transfers. This study centers on the Gavkhouni basin in Iran, where despite repeated water transfers, water scarcity remains persistent due to climate fluctuations, population growth, agricultural activities, and economic development. The research developed a comprehensive system dynamic model, integrating environmental, social, and economic variables impacting water balance in the region in order to assess the effectiveness of three distinct demand-focused water management strategies, namely, technology-based, cropping pattern-based, and land-based policies, both individually and in synergy. This analysis was conducted across a set of scenarios encompassing climate change, population growth, GDP dynamics, and water transfer patterns. The findings revealed a satisfactory accuracy of the water management system model, with a 6.2% mean absolute error. In addition, findings highlighted the advantages of a multifaceted strategy, with technology-driven interventions and optimized cropping patterns emerging as particularly effective. However, the economic dimensions of these policies warrant comprehensive exploration due to the significant impact they have on the feasibility and effectiveness of the policies. The study emphasizes the need to combine demand-side policies with supply strategies like water transfers. This comprehensive approach is vital for effective water management and long-term water security.

Long-Term Hierarchic Changes in Settlement Systems at Geographic ‘Edges’

ABSTRACT Sparsely populated geographic edges of colonised nations exhibit heterogenous historical demographic trajectories. In this study, we analyse the longitudinal evolution of the settlement system in Northern Australia to quantify and visualise relative settlement dynamics over 165 years. We extend the existing literature by deviating from analysing each township as an individual entity, instead focusing the analysis on relativities within the entire settlement system. We quantify settlement and systemic volatility through measurement and visualisation of relative settlement sizes using rank-sizes and document rank-size changes between 1856 and 2021. We analyse rapid and non-synergic shifts in rank-trajectories and demonstrate rank-trajectories for selected settlements by types. We found that the expansion of a fly-in-fly-out workforce in the resource sector since the 1980s has meant less turbulent trajectories for the settlement system in the North could potentially open prospects for more sustainable population growth policies while relocating the risks of resource dependency in employment and growing unemployment during economic bust from edges to core areas. Beyond annotating the evolution of the settlement system in Northern Australia, this study demonstrates the potential for policy, economic conditions and definitional peculiarities to affect volatility in the settlement system at geographic edges elsewhere.

Esophageal cancer global burden profiles, trends, and contributors.

This study aimed to provide a comprehensive overview of the global burden of esophageal cancer (EC) and determine the temporal trends and factors influencing changes in the global burden. The latest incidence and mortality data for EC worldwide were obtained from GLOBALCAN 2022. The mortality and disability-adjusted life years (DALYs) rates for EC from 1990-2019 were sourced from the 2019 Global Burden of Diseases. Trends in EC mortality and DALYs attributable to 11 risk factors or clusters of risk were analyzed using the joinpoint regression model. The trends in age-related EC burden were assessed using a decomposition approach. An estimated 511,054 new cases of EC were diagnosed in 2022 with 445,391 deaths worldwide. Approximately 75% of cases and deaths occurred in Asia. Nearly 50% of global EC deaths and DALYs were attributed to tobacco use in men in 2019, while 20% were attributed to high body mass index (BMI) in women. From 1990-2019, EC deaths and DALYs attributable to almost all risk factors had declining trends, while EC deaths and DALYs attributed to high BMI in men had upward trends. The age-related EC burden exhibited an upward trend driven by population growth and aging, which contributed to 307.4 thousand deaths and 7.2 million DALYs due to EC. The EC burden remains substantial worldwide. Effective tobacco and obesity control measures are critical for addressing the risk-attributable burden of EC. Population growth and aging pose challenges for EC prevention and control efforts.

Differences in adult nutritional requirements impact the population growth and survival of two related species of rice leaffolders to produce interspecific differentiation

Nutrition is a limiting feature of species evolution. The differences in nutritional requirements are the evolutionary result of differential adaptations to environmental changes, explaining differences in their ecological traits. Cnaphalocrocis medinalis and Cnaphalocrocis exigua, two related species of rice leaffolders, have similar morphology and feeding properties but different migration and overwintering behaviors. However, it is unclear whether they have evolved adult nutritional differentiation traits to coexist. To explore this issue, this study examined the effects of carbohydrates and amino acids on their reproductive and demographic parameters. The findings indicate that carbohydrate intake prolonged the longevity and population growth of two rice leaffolders, but amino acid intake promoted egg hatching only. However, nutrient deficiency made it impossible for C. medinalis to reproduce successfully and survive, but it did not affect C. exigua. The population expansion and survival of migratory C. medinalis relied on adult nutritional intake. Conversely, the nutrients necessary for C. exigua overwintering activity mostly came from the storage of larvae. The difference in nutritional requirements for population growth and survival between the two rice leaffolders partially explained their differences in migration and overwintering.

Mitigating ecological footprint in BRICS countries: unveiling the role of disaggregated clean energy, green technology innovation and political stability

BRICS nations as emerging economies have undergone a substantial structural transformation; however, achieving economic growth while sustaining the ecology is a pressing challenge for these economies. Nonetheless, one of the possible ways to achieve ecological sustainability is to promote clean energy use and green innovation backed by a strengthened political system. Thus, this study assesses the effect of disaggregated clean energy use (hydro and nuclear energy), green technology innovation, and political stability on the ecological footprint in BRICS countries from 1993 to 2022 while controlling for the impacts of natural resources rent, population growth, and GDP per capita. Using dynamic fixed effect and CS-ARDL estimators, the outcomes reveal that hydro and nuclear energy use and political stability induce the ecological footprint in BRICS countries. However, the empirical findings indicate that green technology innovation substantially reduces the ecological footprint. Therefore, from a policy perspective, the study encourages policy coordination among BRICS countries to embrace targeted policies to strengthen regulatory frameworks, promote innovations in technological know-how, and encourage the utilization of clean and sustainable energy to foster environmental sustainability.Graphical

An Evaluation of the Effect of Fuel Injection on the Performance and Emission Characteristics of a Diesel Engine Fueled with Plastic-Oil–Hydrogen–Diesel Blends

Fuelled engines serve as prime movers in low-, medium-, and heavy-duty applications with high thermal diesel efficiency and good fuel economy compared to their counterpart, spark ignition engines. In recent years, diesel engines have undergone a multitude of developments, however, diesel engines release high levels of NOx, smoke, carbon monoxide [CO], and hydrocarbon [HC] emissions. Due to the exponential growth in fleet population, there is a severe burden caused by petroleum-derived fuels. To tackle both fuel and pollution issues, the research community has developed strategies to use economically viable alternative fuels. The present experimental investigations deal with the use of blends of biodiesel prepared from waste plastic oil [P] and petro-diesel [D], and, to improve its performance, hydrogen [H] is added in small amounts. Further, advanced injection timings have been adopted [17.5° to 25.5° b TDC (before top dead centre)] to study their effect on harmful emissions. Hydrogen energy shares vary from 5 to 15%, maintaining a biodiesel proportion of 20%, and the remaining is petro-diesel. Thus, the adopted blends are DP20 ((diesel fuel (80%) and waste plastic biofuel (20%)), DP20H5 (DP20 (95%) and hydrogen (5%)), DP20H10 (DP20 (90%) and hydrogen (10%)), and DP20H15 (DP20 (85%) and hydrogen (15%)). The experiments were conducted at constant speeds with a rated injection pressure of 220 bar and a rated compression ratio of 18. The increase in the share of hydrogen led to a considerable improvement in the performance. Under full load conditions, with advanced injection timings, the brake-specific fuel consumption had significantly decreased and NOx emissions increased.

Impact of foliar application of silicic acid on aphid population growth, gas exchange parameters and yield of rapeseed

Impact of foliar application of silicic acid on aphid population growth, gas exchange parameters and yield of rapeseed

Shallow water table rise and fluctuation between 1977 and 2010 in Madinah City, Saudi Arabia

Madinah City in Saudi Arabia is rapidly growing with high population growth, water demand, sewage generation, and agricultural activities. The hydrogeological layering sequence in Madinah City reveals that there are three main layers that extend within the areas between wadi systems. The shallow water table rise (SWTR) problem has risen in several areas of the city, and the fluctuations in the piezometric water observed from the shallow aquifer systems. The research aims to investigate the changes in shallow groundwater levels within the Madinah City. Sources of water table rise and fluctuations are investigated through an extensive field hydro-geological survey comprising wells drilling and water level monitoring, which indicated the following results between 1977 and 2010 including those of newly drilled wells: (i) water flow is partially blocked along wadi Alaqiq and this has caused an increased regional flow moving from west along wadi Alaqiq towards the central area; (ii) groundwater levels have changed in the agricultural areas as indicated by 15–26 m rise along wadi Alaqiq; (iii) groundwater level fluctuations as indicated by 590 m amsl (1977) against less than 575 m amsl (2010) in the east and southeast of the study area as a result of increased heavy pumping since past 37 years. The overall flow phenomenon is reflected in the groundwater gradients on an increasing trend with orientation from the western region along the wadi Alaqiq towards the central area and southeast which has invariably resulted in the overall declining of water levels throughout the affected area.

Epidemiology of cardiometabolic health in Latin America and strategies to address disparities.

In Latin America and the Caribbean (LAC), sociodemographic context, socioeconomic disparities and the high level of urbanization provide a unique entry point to reflect on the burden of cardiometabolic disease in the region. Cardiovascular diseases are the main cause of death in LAC, precipitated by population growth and ageing together with a rapid increase in the prevalence of cardiometabolic risk factors, predominantly obesity and diabetes mellitus, over the past four decades. Strategies to address this growing cardiometabolic burden include both population-wide and individual-based initiatives tailored to the specific challenges faced by different LAC countries, which are heterogeneous. The implementation of public policies to reduce smoking and health system approaches to control hypertension are examples of scalable strategies. The challenges faced by LAC are also opportunities to foster innovative approaches to combat the high burden of cardiometabolic diseases such as implementing digital health interventions and team-based initiatives. This Review provides a summary of trends in the epidemiology of cardiometabolic diseases and their risk factors in LAC as well as context-specific disease determinants and potential solutions to improve cardiometabolic health in the region.

Assessment of groundwater level fluctuation using integrated trend analysis approaches in the Kapran sub-basin, North East of Iraq

Groundwater extraction in the Kapran Sub-basin (KSB) has been intensified in recent decades due to population growth, urbanization, industrial activities, and agricultural expansion. Assessing water resources in KSB has become vital for researchers and local authorities to develop sustainable groundwater management strategies. This study aims to evaluate the spatio-temporal changes and trends of groundwater level using Innovative Trend Analysis (ITA), supported by non-parametric test techniques like Mann-Kendall (MK), modified Mann-Kendall (mMK) and Sen's slope estimator, along with Cumulative Rainfall Departure (CRD) to assess the relationship between groundwater level fluctuations and rainfall-recharge. Data from 10 monitoring wells (2000–2023), three rainfall stations (1941–2022), and 1053 production wells (2008 and 2023) were analyzed using geostatistical method. The results illustrate a strong linear relationship between the water level and topography, highlighting the aquifer's heterogeneity. The ITA and non-parametric analysis reveal a significant decline in groundwater levels, exacerbated by reduced rainfall (0.05–1.89 mm/year) and increased extraction (1.0 × 10^6 m³/day), with a decline rate ranging from 0.7 to 5.4 m/year. These findings provide (1) a robust scientific foundation for the stakeholders to efficiently develop sustainable strategies for integrated water resource management (IWRM) in order to mitigate the effect of climate change and GW abstraction, and (2) it provides local authorities and government in resolving groundwater scarcity in KSB.

Spatial patterns of Mental Health Act apprehensions in Toronto, Canada, 2014-2022.

This research examines the temporal rates and spatial patterns of police-involved Mental Health Act (MHA) apprehensions in Toronto, Canada, from 2014 to 2022. Building from the work of Toronto Police Services (TPS), the goal of this research is to deepen our understanding of MHA apprehensions and provide insights which may be used to guide local mental health reform efforts. Using data collected by TPS, an exploratory, descriptive analysis of spatial patterns of MHA apprehension events between 2014 and 2022 at the neighbourhood level was conducted. To identify high-rate clusters, we used a discrete Poisson model in SaTScan, with a circular moving window. Primary and secondary clusters with a relative risk of 1.5 or greater are reported. From 2014 to 2022, 93,932 MHA apprehensions occurred in Toronto. Apprehension rates were found to vary substantially between neighbourhoods, with approximately 91% of Toronto's 140 neighbourhoods experiencing a net positive increase in rates during the study period after adjusting for population growth. Repeated spatial cluster analysis for each year revealed a range of 4 to 7 clusters annually, with the downtown core consistently emerging as an area of elevated risk (RR range 1.58-1.99). Rising MHA apprehensions within Toronto highlight the pressing need to confront the city's intensifying mental health needs. These findings offer valuable insights into the patterns and nature of police-involved MHA apprehensions, outline reproducible analysis methods that can be used by others, and support targeted evaluation, expansion, and implementation of downstream initiatives to improve mental health responses.

Tuning polyamide membrane chemistry for enhanced desalination using Boc-protected ethylenediamine and its in situ Boc-deprotection

The scarcity of freshwater resources, driven by rapid population growth and industrialization, underscores the urgent need for advanced desalination technologies. This research aims to meet this critical demand by enhancing the performance of polyamide membranes through innovative chemical tuning of the active layer. By strategically using Boc-protected ethylenediamine (EDA), we can precisely control the membrane’s surface properties. One amino group in EDA is protected with a Boc group, allowing the other to participate in the interfacial polymerization (IP) reaction with meta-phenylenediamine (MPD) and trimesoyl chloride (TMC). This inclusion of Boc-protected EDA enables in situ tuning of the active layer chemistry during polymerization. Subsequent removal of the Boc protection generates hydrophilic ammonium groups on the membrane surface, enhancing its desalination capabilities. As a result, three distinct membranes were fabricated and thoroughly characterized: MPD-TMC (control), MPD-TMC-EDA-Boc, and MPD-TMC-EDA-Deboc. At 20 bar and 2000 ppm NaCl feed, the MPD-TMC-EDA-Deboc membrane demonstrated superior desalination performance with a salt rejection of 98 ± 0.5% and a permeate flux of 25 L m−2 h−1; an increase of 25% compared to the control membrane. For the seawater nanofiltration (NF) permeate with a TDS of 33,700 ppm, a salt rejection of 97% and a permeate flux of 23 L m−2 h−1 was recorded at 20 bar. The MPD-TMC-EDA-Deboc membrane showed enhanced antifouling performance (95 ± 1% flux recovery) compared to the control MPD-TMC membrane with 93 ± 1% flux recovery. The Boc-protection/deprotection strategy demonstrated the high potential of this approach to significantly enhance the performance of polyamide membranes for desalination applications.

Solvent-free synthesis of TiO2 nanoparticles embedded MWCNTs with enhanced photocatalytic activity for bacterial disinfection

Sustainable energy has been widely researched to address issues caused by population growth and rapid industrialization. Among them, photocatalysis using solar energy has been considered promising. We developed a hybrid photocatalyst by combining titanium dioxide (TiO2) with carbon nanotubes (CNTs), known for their excellent adsorption performance. A unique structure encapsulating TiO2 nanoparticles (NPs) within the inner space of multi-walled carbon nanotubes (MWCNTs) was developed via a facile, solvent-free method, conforming to green chemistry principles. Except purification and modification of the CNTs, the particle formation process is solvent-free, making this method remarkably simple and environmentally friendly. This arrangement enhances stability and recyclability, maintaining over 90 % efficiency up to the 3rd cycle. X-ray diffraction (XRD) analysis confirmed that the TiO2 NPs exhibited a crystalline phase, forming exclusively anatase. The defects in the outer walls of the MWCNTs in the composite, coupled with their large specific surface area and dangling bonds, endow them with high adsorption capacity and photocatalytic activity when combined with TiO2 NPs. The MWCNTs@TiO2 composites achieved over 99 % inactivation of Escherichia coli in 60 min and bacteriophage MS2 in 30 min, along with dye adsorption/decomposition. This method offers a distinctive platform for photocatalytic degradation in biological applications and water treatment.

Analysis of Micro Hydro Potential as A New Renewable Energy Source

Electricity demand in Indonesia is currently increasing along with population growth, economic growth, and development. This increase can lead to an energy crisis if it is not accompanied by the provision of additional power plants. This study aims to analyze the micro-hydro potential located at Bangkong Waterfall, Kuningan Regency. The research uses a quantitative approach that begins with field surveys and data collection from relevant agencies. Next, the dependable discharge analysis uses the Thiessen polygon method based on rainfall data and watershed area, as well as flow discharge analysis using the rational method. The results of calculations using the Thiessen polygon method and the rational method yield Q80 with a minimum discharge of 0.009 m³/d and a maximum discharge of 1.160 m³/d. For direct discharge analysis, the Float method is used to calibrate the calculation results with field conditions. The direct discharge analysis using the Float method yields 0.32 m³/d. Based on the efficiency considerations of the micro-hydro power plant (MHPP) components such as a head of 20 meters, turbine type efficiency, water density, gravity factor, and flow discharge in the pipe of 0.109 m³/d, the potential power that can be generated at the Bangkong Waterfall micro-hydro power plant is 16,097.23 Watts or 16.097 Kilowatts.

Development & Validation of a Packed Bed Thermal Energy Storage Model

The rapid growth of economies and population around the world have exponentially increased the demand for energy. This demand has invoked increased annual global CO2 emissions and necessitated a transition to clean energy technologies. Reliable and affordable energy storage technologies are paramount for increasing renewable energy penetration onto the grid, supporting periods with reduced or no renewable energy generation. This project is aimed at developing a Thermal Energy Storage (TES) solution that can deliver heat to a heat engine for power production or to an industrial process for prolonged periods. TES long duration energy storage (LDES) presents many potential benefits, including 1) Low Cost 2) scalability 3) high energy density 4) low carbon footprint and 5) resiliency via ability to produce synchronous power (i.e., spinning turbomachinery). The broader objective of this project is to build, test, and model the TES concept at a 2 MWh scale to determine the economic and physics-based practicality of the system. The work presented here describes the first phase objectives of the project, including benchtop scale testing, model development, and Model Validation.

Impact of environmental knowledge, responsibility and concern on sustainable consumption behavior: does customer attitude matter?

PurposeThe constant population growth and inappropriate consumption patterns have led to abnormal use of the earth's capacities, destruction of natural resources, enormous spread of diseases, and increased waste materials. Thus, these issues should be highlighted to avoid serious problems for the earth. Accordingly, this study examines the effect of environmental knowledge (EK), environmental responsibility (ER), and environmental concern (EC) on sustainable consumption behavior (SCB), with the mediating role of customer attitude (CA).Design/methodology/approachThe present applied study is descriptive-correlational. The statistical population includes customers of Hyperstar stores located in Tehran. Overall, a sample size of 384 people was selected based on Cochran's formula. The data were collected using standard questionnaires and analyzed using structural equation modeling and Smart PLS version 3 software.FindingsThe fit of the proposed model was confirmed at measurement, structural, and general levels. Thus, it indicates that the structural model has an acceptable fit. Furthermore, the findings emphasize that ER and EC have a positive effect on CA, and ER and EC have a positive impact on SCB. ER and EC have a positive effect on SCB through the mediation of CA, while EK does not have any significant effect on SCB but EK has an effect on SCB through the mediation of CA.Originality/valueGiven the growth of environmental destruction, it is necessary to consider the change of CA toward buying sustainable products. Therefore, this study pays attention to the mediating role of attitude and examines the effects of EK, EC, and ER that cause SCB among customers of Hyperstars.

Spatio-temporal analysis land use land cover changes in South Kashmir region of North-western Himalayas using Landsat data

This paper presents a comprehensive analysis of the spatial patterns and temporal dynamics of land use and land cover changes in South Kashmir from 2000 to 2022 leveraging remote sensing technologies revealing significant transformations in various land cover classes. The study used maximum likelihood classification, a supervised classification method, to analyze Landsat satellite imagery and identify ten major land use categories. The findings demonstrate notable increases in, barren land by 18.78 km2 (0.35%), built-up areas by 72.28 km2 (1.33%), forests by 274.76 km2 (5.05%), grasslands by 68.06 km2 (1.25%), scrubland by 307.82 km2 (5.66%). horticulture experienced a significant rise of 419.17 km2 (7.70%), Conversely, several land use classes reported decline, agriculture by 757.21 km2 (13.91%), exposed rockmass by 258.58 km2 (4.75%), glaciers and snow by 136.83 km2 (2.51%), and water bodies contracted by 8.23 km2 (0.15%). The primary drivers of land use change in the region are identified as climate change, population growth, and economic factors. Climate change has altered precipitation patterns affecting agricultural productivity and leading to the retreat of glaciers. Population growth and economic reasons, including the rise of horticulture and changes in land use policies, have also played a significant role in shaping the landscape dynamics of South Kashmir. These changes underscore the dynamic nature of land use in South Kashmir, with significant implications for regional planning and environmental management. The study underscores the cost-effectiveness and efficacy of geospatial technologies in conducting spatiotemporal analyses and formulating evidence-based policies for the sustainable management of natural resources.

Unveiling the dynamic nexuses between foreign investment, trade openness, energy consumption, and CO2 emissions in South Africa: A vector error correction model approach

Amidst the rising carbon emissions posing significant challenges for the global environment, there exists an inadequate recognition of the profound implications associated with foreign investment, trade openness, and energy consumption in South Africa. This study investigates the dynamic relationship among foreign investment, trade, energy, and the interactive effect of foreign investment and trade openness on environmental pollution in South Africa using time series data from 1990 to 2020. The results from the Johansen cointegration analysis and vector error correction model confirm a sustained long-term relationship among foreign investment, trade, energy, and CO2 emissions. This suggests that any deviations from CO2 emissions equilibrium would gradually self-adjust autonomously. This study reveals the long-run positive effects of trade openness and energy consumption on environmental pollution, while foreign investment exhibits a persistent negative impact on environmental pollution in the long run. Economic growth reduces CO2 emissions, while population growth and inflation are detrimental to the environment in the long run. The interaction between foreign investment and trade reduces environmental pollution in the short and long run. The Granger causality tests show a two-way causal relationship between population growth and CO2 emissions and a one-way causal connection among other variables, enlightening the linkage among these critical factors. The study offers several policy suggestions including environmentally friendly trade practices, investing in energy efficiency and transition, and promoting sustainable foreign investment in South Africa to achieve long-term economic sustainability while curbing environmental impact.

Aggravation Of the Climate Change Crisis in The Gulf Coast of The United States: A Review of Anthropogenic Factors

The Gulf Coast of the United States is increasingly at risk from the impacts of climate change, exacerbated by various human-induced factors. This review paper examined how human activities have worsened the effects of climate change in this region from 2005 to 2024, which is already vulnerable to hurricanes, sea-level rise, and coastal erosion. Influential factors include intensive industrial operations, such as oil and gas production, which release significant amounts of greenhouse gases and disrupt the natural landscape, leading to land subsidence and weakening coastal defenses. Urbanization and population growth have resulted in the loss of valuable wetlands and other natural buffers that mitigate flooding and storm surges. Alterations to river systems for flood control and navigation have reduced sediment deposition, affecting the preservation of coastal landforms. Agricultural practices in the region also play a role; fertilizer and pesticide runoff contaminate waterways and create hypoxic zones, impacting fisheries and marine habitats. The paper then emphasizes the need for impactful policy interventions and sustainable behaviors to address these human-induced pressures. In addition, the paper advocates for a comprehensive mitigation strategy that includes stricter emission controls, financial support for renewable energy sources, habitat restoration, and improved urban planning to enhance climate change resilience. After conducting a thorough review, we have discovered that the Gulf Coast region has experienced over fifteen deadly hurricanes over the past twenty years, poised to confront increasingly complex environmental and socioeconomic challenges if viable solutions are not implemented. These issues can potentially jeopardize the livelihoods of the region's inhabitants and the health of its diverse ecosystems.