This research was conducted to study the effect of adding humic and fulvic acids to the irrigation water on soil properties and germination percentage of two cucurbit plants: zucchini and cucumber. The study was conducted in an open field in Sokhna District in the governorate of Zarqa (Jordan). The field soil was transported to calcareous sandy soil. In the beginning, the weeds and stones were removed, and the land was smoothed and plowed. Effort was made to control weeds and insects at all stages of plant growth. Then, an irrigation network was installed. The fulvic acid-humic acid (FA-HA) biostimulant mixture was incorporated with the irrigation water, and irrigation was practiced three days per week for four weeks. During this period, every irrigation round lasted for two to three hours. A mixture of humic acid (8.0%) and fulvic acid (8.0%) was added to the irrigation water. Three treatments were considered, corresponding to three acid mixture concentrations: 0.50 mL.L-1, 1.00 mL.L-1, and 1.50 mL.L-1. The acid mixtures were added continuously at all stages of plant growth until plant maturity and harvest. Four replicates of the experiment were made. The plant growth variables of interest were germination percentage, number of leaves, date of fruition, size of fruit, and overall mass of fruits. Meanwhile, the soil parameters of interest were soil pH and soil salinity (electric conductivity (EC)) before and after adding the FA-HA mixture. The study found that the 0.5 mL.L-1 acid mixture treatment led to the early growth of the zucchini plant seeds and that fruition took place 12 days after planting. In addition, the results showed an increase in plant germination under the 0.5 mL.L-1 acid mixture treatment in light of the increase in the number of male and female plant flowers, with fruiting taking place on time. In conclusion, the relationship between zucchini growth and yield with FA-HA mixture concentration is non-linear. It is also concluded that the optimum acid mixture concentration and application rate are crop-specific. Hence, for each crop, the most appropriate acid mixture concentration should be determined first before the broad-scale application of amendments to the soil to ensure the contribution of this environmentally friendly practice to sustainable agriculture.

Every facet of life, including human habitation, economic development, food security, etc., depends on water as a valuable resource. Due to the burgeoning population and rapid urbanization, water availability needs to be simulated and measured using hydrologic models and trustworthy data. To fulfill this aim, the SWAT model was processed in this work. The SWAT model was formulated to estimate the hydrological parameters of Yeralwadi using meteorological data from IMD (India Meteorological Department) for the period 1995-2020. The observed discharge data was collected from the HDUG Nasik group and used in the calibration and validation of the Model. The SWAT model was corrected & validated through the SUFI-II algorithm in SWAT-CUP to get a better result. The model’s sensitivity is checked by using statistical parameters like Nash-Sutcliffe Efficiency (NSE) and a coefficient of determination (R2). NSE values were 0.72 and 0.80 in calibration and validation, and R2 were 0.80 & 0.76 in calibration and validation, respectively, indicating the acceptance of the model. Results show that 40.6% of the total yearly precipitation was lost by evapotranspiration. The estimated total discharge from the Yeralwadi catchment was 55.6%, out of which 41.2% was surface runoff and 14.4% was baseflow. The other 17.8% was made up of percolation into confined and unconfined aquifers, which served as soil and groundwater storages. The surface runoff is influenced by Curve number (CnII), SOL_AWC, ESCO, and base flow was influenced by ALPHA-BF and GW_REVAP. This study will be useful to water managers and researchers to develop sustainable water resource management and to alleviate the water scarcity issues in the study basin.

In the past decade, governments and development agencies have contributed significantly to society through anaerobic digestion technology (ADT). Anaerobic digestion technology (ADT) has become an important tool in the fight against global poverty and environmental issues, leading to positive change in communities around the world. The technology works as a wet or dry process, depending on its classification. The process is complex and yields multiple benefits, such as creating a natural fertilizer that can be used to help crops grow, as well as generating renewable energy sources. It is common knowledge that many household-sized digesters installed in different areas are one-stage digesters. One-stage digesters do not require a separate pre-treatment stage before the digestion process. This makes them simpler and more cost-effective to install and operate than traditional two-stage digesters. Thus, some drawbacks are associated with these systems since they feed on just one type of feedstock. Many researchers fail to adequately address interactions critical to ADT’s operation, including interactions among growth factors and operating parameters. In a single-stage and one-substrate digester, researchers commonly neglect to study the digester feeding and operational conditions. Anaerobic digestion was the subject of this review, covering research conducted between 2001 and 2022. The study identified a significant drawback associated with mono-digestion and single-stage digestion. The findings illustrate that mono-substrate and single-stage digestion are worthwhile approaches, even though they have their challenges. However, adding a further digestion stage can significantly improve biogas production.

Globally, land degradation is becoming a grave concern. Over the years, conditions such as drought, extreme weather events, pollution, changes in land use land cover, and desertification have intensified and led to land degradation, affecting both ecological and economic processes. Equally, during the last two centuries, population and urbanization have amplified manifold and increased the demand for additional food and shelter, resulting in alteration in land use land cover, over-grazing, and over-cultivation, loss of nutrient-rich surface soil, greater runoff from the more impermeable subsoil, and reduced water availability. Geographically, Goa is a highly diversified state. It is sandwiched between the West Coast and the Western Ghats. The state is blessed with beaches, mangroves, backwaters, wetlands, wildlife sanctuaries, evergreen forests, barren lands, and other vital ecosystems. The State of Goa, on average, receives more than 3000 millimeters of rainfall annually with high surface runoff. Using both primary and secondary data, this study sought to investigate and quantify the state’s land degradation. Secondary data came from satellites and other sources, while primary data came from field observation and ground truthing. Land degradation factors related to soil loss and the spatial pattern of soil erosion are predicted and evaluated using the Revised Universal Soil Loss Equation (RUSLE) method. Landsat-8 OLI-TIRS images were utilized to decide land use and cover (C factor), while DEM information was utilized to assess (LS factor). A soil map and rainfall data were collected to acquire a better understanding of soil erodibility (K factor) and rainfall erosivity (R factor). The kriging interpolation technique was used to gain a deeper comprehension of land degradation.The purpose of this paper is to comprehend the concept of integrated land degradation and how it affects the environment of Goa. Using remote sensing data and geostatistical methods, the study creates a comprehensive map of land degradation in the region by identifying and analyzing the various forms of land degradation in Goa. The paper also looks at how rainfall and the amount of land cover affect the rate of soil erosion in Goa. According to the findings, intense rainfall makes the eastern part of Goa particularly susceptible to soil erosion, and bare soil has a greater potential for erosion than vegetated land. The paper concludes that comprehensive land degradation mapping can be a useful tool for developing efficient land management strategies to preserve soil and encourage sustainable development in the region.

Hydraulic conductivity (K) as a parameter in surface and subsurface water interaction is an important study to research. Field observations using geoelectrics with the Schlumberger configuration and using infiltrometers with double ring were chosen as methods to estimate the (K) which aims to recognize the characteristics of the relationship between (K) obtained from different observation results. The estimated (K) obtained from infiltrometer observations are quite significant compared to geoelectric observations which range from 2.715 × 10-7 m/s to 6.132 × 10-7 m/s, while geoelectrical values range from 1.965 × 10-8 m/s to 3.896 × 10-9 m/s. In this study, the soil conditions in geoelectric observations were carried out in an unsaturated state and infiltrometer observations were in a saturated state. This soil condition is used as one of the reasons for interpreting the research results in this study, that the hydraulic conductivity in unsaturated soil conditions decreases compared to saturated soil.

This study employs Remote Sensing (RS) and Geographic Information Systems (GIS) to delineate groundwater potential zones. Various thematic layers, including geomorphology, land use and land cover, geology, rainfall, slope, soil composition, drainage density, and the Topographic Wetness Index (TWI), were integrated using a weighted linear combination in the GIS platform’s spatial analyst tool. The Analytic Hierarchy Process (AHP) was used to assign different ranks to these layers and their sublayers. Groundwater potential zones were categorized as poor (16.54%, 96.25 km²), moderate (67.20%, 391.13 km²), and good (16.26%, 94.62 km²). Validation involved observing water levels in various wells within the study area, with the results’ reliability assessed using a Receiver Operating Characteristic (ROC) curve, demonstrating an accuracy of 88%. The study area faces rapid urbanization and industrialization, stressing the aquifer’s groundwater availability. Identifying groundwater potential zones is thus crucial for effective groundwater development and management.

The urban expansion analysis plays a significant role in the physical, social, and environmental dimensions of the cities. The research was conducted to monitor the urban growth and urban sprawl analysis of Tumkur city from 2000 to 2020 using multispectral satellite data (Landsat-5, Landsat-7, Resourcesat-1, Landsat-8, Sentinel-2A). Various methods like urban-related indices (AUER, UEII, and NDBI), and statistical methods (Degree of Freedom, Shannon Entropy, and Degree of Goodness) were used in the present research work. The AUER (Annual Urban Expansion Rate) and UEII (Urban Expansion Intensity Index) study of urban indices reveal that the urban area has expanded from 24.94 km2 to 60.59 km2 due to the development of commercial buildings, single-use zones, and low-density areas. The analysis of NDBI (Normalised Difference Built-up Index) indicates that the expansion of urban infrastructure, industrial growth, and population increase cause significant damage to vegetation in the city center compared to other areas. The study of the Degree of Freedom and Shannon entropy indicates that high compactness appeared in the core, whereas other regions are experiencing significant expansion. The method of freedom of goodness (2000 = - 0.093 to 2020 = - 0.159) demonstrates that the currently unfavorable conditions of urban growth have appeared in Tumkur city and it leads to numerous adverse effects on present and future generations. This study will help urban planners and decision-makers maintain the proper land use planning to reduce urban sprawl and its associated consequences, allowing for sustainable urban development.

The global population surge has escalated the demand for food production. While conventional farming meets consumer demands, it often compromises food quality and safety. This method of agriculture has significant adverse effects on health and the environment, relying heavily on chemical fertilizers, costly seeds, and machinery. Conventional farming contributes to environmental degradation, food-borne illnesses, and soil infertility. In response to these issues, organic agriculture has gained prominence worldwide. The rising demand for organic products is driven by their nutritional and environmental benefits. Numerous studies have explored the advantages and disadvantages of various farming methods, comparing organic and conventional practices. This paper reviews the emerging impacts of organic farming on the environment and climate change and examines the nutritional differences and consumer preferences for vegetables produced by these two farming methods.

In the modern world, the rise of industrialization and motorization has significantly increased the use of internal combustion engines powered by petroleum products. This has led to the unsustainable exploitation and depletion of petroleum reserves. Consequently, the use of biodiesel-based biofuels, particularly those derived from microorganisms, along with gaseous fuel supplementation in internal combustion engines, has gained prominence. The urgent need to explore alternative fuels for combustion engines has become evident over the past few decades due to the rapid decline in fossil fuel reserves. This study examines the impact of hydrogen induction in the throttle body of a CI engine powered by blends of biodiesel from Chlorella vulgaris and mineral diesel in various proportions, without major engine modifications. The research aims to evaluate the performance, combustion, and emission characteristics of the engine when supplemented with hydrogen, biodiesel, and their blend B20. The experiments involve varying fuel compositions and engine operational parameters to assess their influence on efficiency, pollutant emissions, and combustion stability.

The utilization of plastic waste and dry leaves in bricks is a sustainable approach to reducing environmental pollution and managing waste. This study aims to investigate the feasibility of incorporating plastic wastes and dry leaves into the manufacturing of bricks, as well as the potential benefits of using such bricks. The study involves the collection of plastic wastes and dry leaves, sorting and cleaning them before mixing them with clay, sand, and cement in varying proportions. The mixtures are then compressed and molded into bricks, which are allowed to dry and cure before being tested for their physical and mechanical properties. To create plastic soil blocks, the soil was added to the molten plastic paste along with dry leaves in the following ratios: 1.5:1.5:0.5 (plastic, soil, and dry leaves, respectively). Results of the study showed that the inclusion of plastic wastes and dry leaves in brick production can lead to significant improvements in properties such as compressive strength, water absorption, and durability. Furthermore, the use of such bricks can help to reduce the amount of plastic waste and dry leaves in the environment, and also provide a sustainable alternative to traditional bricks that use finite natural resources. In conclusion, the utilization of plastic wastes and dry leaves in bricks is a promising approach toward sustainable construction. Further research is needed to optimize the proportions of the materials used and to investigate the long-term durability of the bricks under different environmental conditions.