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May 2026 DOI 10.14302/issn.2642-3146.jec-26-6199
Solar thermal heating is a mature technology for producing hot water in the domestic sector. Industrial processes require significant heat, so solar water heaters can be used for pre-heating. A forced- circulation solar water heater is installed in a feed plant that is located south of the Tropic of Cancer. The thermal efficiency of the system is closely related to the incident solar radiation. This study uses a two-stage setting for a thermostat to collect more solar energy if incident solar radiation is less intense. When the temperature difference between the water storage tank and the water outlet for the solar collectors (setting of a thermostat from 6° to 8°C) increases, there are more energy savings. The simple payback period for the system is 2.05 years, so it is financially viable to use a solar water heater for industrial heat processes. Excessive carbon emissions resulting from industry processes are a main cause of global warming. Carbon tax can be used as a central climate policy instrument for carbon reduction. The government of Taiwan stipulates the legal foundation for levying carbon fees in 2025. The carbon emissions and carbon tax for the feed plant are described to prompt the case for sustainability.
Nov 2025 DOI 10.14302/issn.3070-3379.jwc-25-5549
This short communication/mini-review immensely emphasizes human health to explicate and elucidate management of the global scourge associated with the determinants and impact of vulnerabilities to extreme hydrologic events and climate change in the absence of risk reduction and their concomitant sequelae. The most effective approach for risk reduction associated with biodiversity, environmental, and health vulnerabilities due to climate change and extreme hydrological events, an ecological framework must take into cognizance exposure, vulnerability, and resilience. This framework emphasizes the significance of understanding the inextricable linkage between ecosystems and human communities are exposed and susceptible to hazards, sensitivity to these hazards, and capacity to cope, adapt and recuperate. Risk reduction incorporates structurally attenuating exposure, strengthening resilience, and sustainably enhancing overall vulnerability management. Extreme weather and climate-associated incidents impinge on human health with consequential morbidity, mortality and socioeconomic challenges and constraints. Climate change and extreme event have altered the frequency, intensity, geographic distribution, and propensity as drivers for change in the future. The indicted variables include hydrological events, such as precipitation, floods and droughts as well as heat waves, wildfires, global warming, extreme temperatures, and hurricanes. The pathways inextricably-linked with extreme events to economic dissipation, human health prognosis and outcomes remain inexplicably diverse and complex; and thus, difficult to predict due to their emergence and reemergence from local, societal and environmental factors which influence disease burden.
Sep 2024 DOI 10.14302/issn.2769-2264.jw-24-5269
Significantly decreased rainfall run-off into the dams that feed the Darling River in eastern Australia during the Millennium (1997–2009) and Tinderbox (2017 –2019) Droughts coincided with reduced river levels along the Darling River. The rainfall reduction was due to accelerated global warming since the mid-late 1990s. During this period, unmonitored river water extraction from the streams that feed the Darling River was diverted to crops, on-farm dams, and to storage in the Menindee Lake system. This practice exacerbated the effect of the two droughts because streamflow that reaches the Darling River ceased in several upstream rivers, and in the Darling River. Using Darling River height levels, before and after the mid-late 1990s, it is shown that global warming is the key factor reducing Darling River levels in the last 53 years, even allowing for river water diversion and extraction. Between the periods 1972-1997 and 1998-2024 the Darling River mean heights, in the towns of Bourke, Wilcannia and Menindee, were all found to drop by statistically significant amounts. The catchment area rainfall has found to be decreasing due to global warming induced atmospheric circulation changes. Reducing water extraction either before or after it reaches the Darling River is unlikely to stop the short-medium term decline in Darling River levels.
Aug 2022 DOI 10.14302/issn.3070-3379.jwc-22-4233
Man’s activity and/ or inactivity continually impedes the environment in many ways. Sometimes, these impediments could be negative with catastrophic consequences. Emission of greenhouse gases, desert encroachment, deforestation, global warming, and general environmental degradation by different human practices poses a lot of threat to this planet. It has therefore become imperative to explore novel ways or technologies in checkmating hazards emanating from these disasters. Biotechnology which simply refers to the use of living organisms or their parts particularly microorganisms to produce materials for human and animal consumption comes in handy. The aim of this paper is to do a brief review on the merits of applying this technology in mitigating hazards arising from climate change. Focus will be centered on agricultural and industrial biotechnology more as a result of their involvement in land and environmental related matters. Manipulation of crops via genetic engineering for varieties with stress resistance, phytoremediation, tissue culture of orphan crops, and so many other biotechnological practices will be examined so as to highlight their role in stemming disasters caused by climate change. In conclusion, the paper will attempt to explain the reason why developing countries like Nigeria should also join the global race in curtailing this menace via her indigenous biotechnology.
Jun 2020 DOI 10.14302/issn.2643-2811.jmbr-20-3402
This research paper focuses on rainfall variations in Tamil Nadu, India using Wavelet, Linear regression and Artificial Neural Networks model from 2004 to 2017. As the rainfall is the key factor in understanding climate change, the seasonal datasets from 2004-2017 of Tamil Nadu state has been taken for study. The salient feature of this study is the application of Neural Networks and wavelet analysis. It reveals that the rainfall variations are ambiguous that it does not maintain a constant pattern. Wavelet coefficients of multiresolution spectrogram reveals that the intensity of rainfall in each year. Linear regression model divulge the pattern of rainfall followed in every season and the results show that except winter season all other season suffers deficient rainfall. The deficiency of rainfall may be due to different parameters like ElNino or LaNina pattern or global warming. Results showed that all seasons except winter does not maintain consistency in the rainfall variability. Winter season provides the positive slope values of 4.7 and 0.6 for January and February respectively. Moreover Artificial Neural Networks training provides prominent results of Regression value 0.98 which is comparably high with other seasons taken for study.
Oct 2019 DOI 10.14302/issn.2642-3146.jec-19-2977
The effects of global warming have been causing irreversible damage to the Earth over the past decades. One way we can reduce our individual impact on the environment is to focus on the production and consumption of Eco‐friendly sources of electricity such as solar, wind, or bio-electric energy. Based on the current available and suitable energy options, we have proposed to modify a chosen house from Northern Wisconsin by using a hybrid system including solar energy and wind turbine energy to replace the traditional power grid. Considering sunlight‐time, wind speed in Northern Wisconsin, we have predicted the immediate and long‐term fiscal and environmental impacts. From this cost‐benefit analysis, we project that the best hybrid option is a combination of 95% solar power and 5% wind energy, which would save about $41,000 over the next 30 years.
Dec 2017 DOI 10.14302/issn.3070-5657.je-17-1759
Olive ridleys (Lepidochelys olivacea) and loggerheads (Caretta caretta) are two closely phylogenetically related sea turtles that nest in very different thermal habitat. Olive ridleys nest in pan-tropical beaches whereas loggerheads nest in more temperate beaches. In the context of climate change, the temperature in temperate beaches will increase much more than for tropical beach due to buffering effect of air humidity in the later. We have determined the thermal reaction norm for embryonic growth in both species using field records of incubation temperatures and incubation length from loggerheads in Western Mediterranean Sea or olive ridleys from Pacific coast of Guatemala. We show that the optimum temperature for the growth of embryos is lower for loggerheads than for olive ridleys. This makes loggerhead turtles particularly sensitive to increase of beach temperature as it is expected due to effect of global warming in temperature regions. Furthermore, olive ridleys are more resilient to increase of temperatures and should not suffer from sublethal incubation temperatures.