High Land Research Articles

Genotype by environment interaction and stability study in bread wheat (Triticum aestivum L.) genotypes in Guji Zone, Southern Ethiopia

Genotype by environment interaction and stability study in bread wheat (Triticum aestivum L.) genotypes in Guji Zone, Southern Ethiopia

Climate variability and change in Ecuador: dynamic downscaling of regional projections with RegCM4 and HadGEM2-ES for informed adaptation strategies

Ecuador, a country with distinct coastal (CO), highland (HL), and Amazon (AM) regions that are characterized by unique climatic, ecological, and socio-economic features is highly vulnerable to climate change. This study focuses on these three regions, highlighting their individual importance in the broader context of Ecuador's climate vulnerability. Utilizing dynamically downscaled data from the Regional Climate Model (RCM), we generated precipitation and air temperature projections for the period 2070–2099 under three different climate change scenarios. We indicate projected temperature increases across all three regions: mean temperature increases for the CO, HL and AM regions are of 1.35, 1.55, and 1.21°C, respectively. Each year, the largest temperature increases are predicted for the third quarter (June–August), with the smallest increases predicted for the last quarter (December–February). Precipitation patterns show varied changes, with CO exhibiting a positive mean daily change, in contrast to a mean negative change in the AM region. These region-specific projections underscore the differential impacts of climate change within Ecuador and highlight the necessity for tailored adaptation measures. The study's novel approach, focusing on distinct regional impacts within a single nation, offers valuable insights for policymakers, aiding in the development of effective, region-specific climate change mitigation and adaptation strategies. This targeted approach is crucial to address unique challenges faced by different regions, thereby supporting national resilience strategies.

Organic food has lower environmental impacts per area unit and similar climate impacts per mass unit compared to conventional

In recent years, interest in studying the climate and environmental impact of organic food has grown. Here, we compared the environmental impacts of organic and conventional food using data from 100 life cycle assessment studies. Most studies focused on climate impacts, with fewer addressing biodiversity loss and ecotoxicity. Findings revealed no significant differences in global warming, eutrophication potential, and energy use per mass unit. However, organic food showed lower global warming, eutrophication potential, and energy use per area unit, with higher land use. Additionally, organic farming showed lower potential for biodiversity loss and ecotoxicity. Challenges in life cycle assessment include evaluating biodiversity, toxicity, soil quality, and carbon changes. The choice of functional units influences results, highlighting the importance of considering multiple units in assessing organic food’s environmental footprint. This study emphasizes the necessity for comprehensive assessments at both product and diet levels to support informed decisions.

Land Cover Classification Based on Multimodal Remote Sensing Fusion

Abstract. Global high-precision and high timeliness land cover data is a fundamental and strategic resource for global strategic interest maintenance, global environmental change research, and sustainable development planning. However, due to difficulties in obtaining control and reference information from overseas, a single data source cannot effectively cover, and surface coverage classification faces significant challenges in information extraction. Based on this, this article proposes an intelligent interpretation method for typical elements based on multimodal fusion, starting from the characteristics of domestic remote sensing images. It also develops an optical SAR data conversion and complementarity strategy based on convolutional translation networks, as well as a typical element extraction algorithm. This solves the problems of sparse remote sensing images, limited effective observations, and difficult information recognition, thereby achieving automation of typical element information under dense observation time series High precision extraction and analysis.

Pengaruh Kombinasi Populasi Tumpangsari Kedelai-Singkong pada Pertumbuhan dan Hasil Benih Tanaman Kedelai dan Hasil Umbi Singkong

Intercropping soybeans with cassava can become one solution to increase the production of soybean in Indonesia. This research aimed to determine the most optimal population combination of soybean-cassava intercropping for the growth and yield of soybean seeds, cassava tuber yield, and land use efficiency (LUE).. The research was carried out on the farm land of the Main Seed Center in Sekincau District, West Lampung Regency, Lampung Province, Indonesia at -5°02’27” South and 104°18’16” East at elevation of 1173.1 meter from sea level and at the Seed and Plant Breeding Laboratory Faculty of Agriculture University of Lampung during June 2022 - February 2023. The four treatments of population combination of soybean-cassava intercropping were applied in a completely randomized block design (CRBD) and replicated five times in five blocks. The four population combination treatments of soybean-cassava intercropping were a) 100% soybean and 0% cassava (monoculture) (p₁), b) 67% soybean and 97% cassava (p₂), c) 67% soybean and 89% cassava (p₃), and d) 50% soybeans and 97% cassava (p₄). The growth and the seed yield per soybean stem of monoculture did not differ to those of the soybean-cassava intercropping, but the soybean seed yield per plot area of the intercropping was lower than those of monoculture. Its mainly due to the soybean population of the intercropping was lower compared to monoculture. All population combinations in soybean-cassava intercropping were effective in supporting the growth and yield of soybean seeds, but the population combination of 50% soybean and 97% cassava (p₄) was also effective in supporting cassava tuber yield, and had the highest land use efficiency among other population combinations. Key words: flowering age, plant height, seed weight, tuber weight of cassava

Performance and egg quality traits of local chickens across different agroecologies in the Kewot district, North Shewa zone, Northern Ethiopia

This study was conducted to evaluate the performance (productive and reproductive) potential and egg quality traits of local chickens (LCs) across different agroecologies (AEs) in the Kewot district, North Shewa zone, northern Ethiopia. A multistage sampling technique was used to select the study sites and households (HHs). The data were collected through semi-structured questionnaires, monitoring and measurements. A total of 147 HHs were included in this study. Ninety brooding hens were monitored to determine hatchability and survivability percentages. A body weight of 120 LCs was measured at the market centres. Furthermore, the egg quality traits of 120 freshly laid eggs were evaluated. The data were analysed by a statistical package for social sciences (version 20). In the study area, the average flock size of the LC/HH populations was 9.90 ± 0.36. The most common flock type was chicks, followed by pullets, with significantly lower (p < 0.05) in the lowland (LL) AE. The mean age at first egg of females and the mean age at sexual maturity of males were 6.05 ± 0.06 and 5.68 ± 0.08 months, respectively. The numbers of eggs per clutch and per year were 14.29 ± 0.40 and 50.02 ± 1.51, respectively. There was no significant difference (p > 0.05) in the average number of clutches/hen/year across AEs, while significantly lower (p < 0.05) numbers of eggs per clutch and per year were recorded for highland (HL) AEs than for LL agro-ecology. The mean hatchability percentage was 80.94 ± 1.69%. The mean market body weights of the male and female LCs were 0.91 ± 0.05 and 0.82 ± 0.05 kg, respectively. There were significant differences (p < 0.05) in egg weight, egg width, shell thickness, shell ratio, albumen height, albumen and yolk weight, yolk colour, and Haugh unit (HU) between the AEs. The results revealed that the performance potential and egg quality traits of the LC in the study district were somewhat poor. Therefore, AE-specific development interventions should be designed and implemented to improve the performance potential and egg quality traits of LC in the study area.

The suitability assessment for land territorial spatial planning based on ANN-CA model and the Internet of Things

This work aims to utilize Internet of Things (IoT) technology and the Artificial Neural Network - Cellular Automaton (ANN-CA) model to analyze the construction of indicators for territorial spatial planning and urban development suitability assessment. Firstly, the IoT technology is introduced, and its application potential in land planning is explored. Using the IoT technology, various data related to land use are collected, and these data are transmitted and summarized through IoT equipment to form a data base. Based on the collected data, the ANN-CA model and the “dual assessment” concept are employed to establish an indicator system for urban development suitability assessment, encompassing permanent basic farmland, ecological redlines, and current built-up areas. Through the combination of these two models, the future land use situation can be predicted more accurately. The trained model is evaluated, including simulation accuracy, error analysis, Kappa coefficient and other indicators. Compared with the actual data, the accuracy and credibility of the model are verified. Finally, according to the prediction results of the model, the land use situation is analyzed and interpreted to provide decision support for urban planning and development. The research results show that the combination of IoT technology and ANN-CA model can effectively analyze the evolution law of land use and the suitability of urban development. Through the reasonable setting and processing of model parameters and data, people can get high accuracy land use prediction results, which provides important reference and support for urban planning and sustainable development. The suitability for urban development within County M exhibits noticeable spatial disparities, with the central region being more suitable for development while the peripheral regions are relatively less favorable. This work provides valuable guidance for decision-makers and researchers in the field of territorial planning, and promotes orderly urban development and sustainable prosperity.

Decreasing environmental footprints of dairy production systems through optimization of feed rations and origins

Environmental impacts of livestock production systems are a global concern, because of the large greenhouse gas (GHG) emissions and nitrogen (N) and phosphorus (P) losses associated with feed production and livestock rearing. These losses are in part related to the system of livestock production and their feed rations and feed origin. This study aims to investigate the economic and environmental impacts of optimizing feed configurations of dairy farms in Inner Mongolia (China), using data from farm surveys, life cycle assessments and linear optimization programming. The findings of our study reveal that feed optimization may lower carbon footprints by 36-44%, nitrogen footprints by 35-42%, and phosphorus footprints by 42-71%, compared to the baseline. The need for cropland decreased by 11-38% per kilogram of milk, feed costs decreased by 15-48%, and net profit increased by 39-129%. Further, we found a statistically significant negative correlation between environmental footprints and feed self-sufficiency of dairy farms. Notably, energy-rich feeds, silage maize, and grass should be grown on-farm. These findings underscore the potential of adjusting feed rations and origin to decrease environmental footprints and enhance net profits of dairy farms. However, we observed several barriers to widespread adoption of optimal feed rations and origin, which relate to land scarcity, high land rental costs, and lack of trust and cooperation with nearby arable farms. Our research provides a scientific foundation for optimizing feed rations and origin for diverse dairy systems to achieve improved environmental and economic performance.

Effects of Fluid Viscous Damper on Reinforced Concrete Tall Building under Lateral Loading in Lagos, Nigeria

The rapid construction of tall buildings in unconventional areas of Lagos, driven by high land cost necessitates meticulous analysis and design to withstand lateral loads such as wind and seismic forces. Typically, enhancing structural rigidity is the conventional approach to counteracting horizontal loads. This study examines the effectiveness of fluid viscous damping (FVD) in reducing gravity, wind and seismic loads in a 24 – story suspended floor frame structure. Using ETABS 2019 software, the building’s modeling and analysis demonstrate that integrating FVDs at each floor level significantly reduces displacement, drift and overturning moments by 20%, 24%, and 29%, respectively, thus enhancing structural stability. Analyzing structural response in Nigeria, despite low seismic intensity, is crucial for risk management and resilience. It informs building practices, improves building codes, and prepares for potential seismic events, ensuring safer infrastructure. This research provides a computational framework for dampening vibrations in tall buildings through FVD technology.

An Ellipsoidal Plate Motion Model of the Indo‐Australian Tectonic Plate

AbstractWe present a class of “ellipsoidal rotation matrices” which can be used to characterize tectonic plate motion; where geocentric Cartesian coordinates travel along paths tangential to the ellipsoid. We contrast them with conventional Euler pole plate motion models which are more closely aligned with spherical coordinate systems and inherently induce a change in geodetic ellipsoidal height. We demonstrate the use of each in the Indo‐Australian tectonic plate setting, which is known to move approximately 7 cm/year in a north‐northeast direction. Geocentric Datum of Australia 2020 (GDA2020) coordinates are “plate‐fixed” static coordinates obtained using a conventional Euler pole plate motion model to align time dependent coordinates with the 2014 realization of the International Terrestrial Reference Frame at the epoch 2020.0. We show that this Euler pole plate motion model can introduce ellipsoidal height velocities of up to −0.2 mm/year. This is small but systematic, so pertinent for consideration with high accuracy vertical land motion studies using GDA2020 coordinates and velocities. We further investigate the comparative statistical accuracy of conventional Euler pole and the ellipsoidal models with respect to characterizing plate motion captured in high quality Global Navigation Satellite System data.

Intermittency of Gravity Wave Potential Energy Generated by Mountains Revealed from COSMIC-2 Observations

The intermittency of gravity wave potential energy (GWPE) in the upper troposphere and stratosphere was investigated using the Constellation Observing System for Meteorology, Ionosphere, and Climate-2 (COSMIC-2) temperature data over three typical mountains (Tibetan Plateau, Rocky Mountains, and Andes). These typical mountains have high sea level elevations but different land–sea contrast. The probability density function (PDF) of GWPE has the independent variable of GWPE and dependent variable of occurrence probability of GWPE over a region. Our analysis showed that the PDFs of GWPE over these three mountains roughly followed lognormal distributions in all heights and months. But, the key parameters (mean value and standard deviation) of lognormal distribution varied with heights and months. Above each mountain, the two key parameters exhibited similar temporal and spatial distributions. They had the largest values around the tropopause region, smaller values in the lower stratosphere (~20–30 km), and larger values in the upper stratosphere (~35–45 km). The intermittency of GWs is represented as the ratio of the GWPE at 50th percentile to the GWPE at 90th percentile. The weakest intermittency was at ~20–30 km (above the zonal mean winds of zero) over the Tibetan Plateau and Rocky Mountains in all months and over the Andes from November to March, respectively. Generally, the weakest intermittency (~0.4) occurred in the region where the key parameters were the smallest around summer. The key parameters of lognormal distribution were dominated by annual variation over the Andes throughout the height range, 8–50 km. However, the semiannual variations are also significant in the lower stratosphere over the Tibetan Plateau and Rocky Mountains. The seasonal variations in the intermittency were not as obvious as those of the key parameters. The lognormal distributions and the intermittencies derived here provide an observational constraint on the tunable parameters in GW parameterization schemes.

SPATIOTEMPORAL ANALYSIS OF VIOLENT CONFLICT AND LAND COVER CHANGE IN LANAO DEL SUR FROM 2011 TO 2020

Abstract. With Lanao del Sur historically being a setting for numerous violent conflict events, its land use and land cover (LULC) manifest the direct and indirect effects of conflict such as destruction and forced displacement that influences land cover change (LCC). Tracking LULC changes can determine the extent of damage induced by conflicts and support the crafting of policies toward sustainable development. To see how conflict has affected the land systems, Landsat-7, and -8 imagery from 2011 to 2020 were used to examine Lanao del Sur's periodic land covers and their trajectories. Barangay-level conflict incidence was also used to identify areas with both high conflict incidence and high rates of LCC. Trajectory analysis revealed patterns in land processes: afforestation coinciding with abandonment, and cultivation being bordered by deforestation as the connecting grassland cover decreases. Decreases in grassland cover were simultaneous with an increase in agricultural lands. Generally coinciding with conflict hotspots, areas with high conflict incidence and land cover change were typically found in urban centers, near water bodies, and provincial boundaries where there was a high volume of human activities. Meanwhile, areas with low conflict incidence and LCC were found in forested areas. Overall, there is a significant positive correlation between conflict occurrences and LCC (r = 0.388), with abandonment (r = 0.533) and cultivation (r = 0.546) having moderate strengths of association.

Mercury Bioconcentration and Translocation in Rooted Macrophytes (Paspalum repens Berg.) from Floodplain Lakes in the Araguaia River Watershed, Brazilian Savanna

Macrophytes are fundamental photosynthetic organisms for functioning freshwater ecosystems, identified as potential bioindicators of mercury (Hg) in the environment. We quantified the concentrations of total Hg (THg) in water and macrophytes (Paspalum repens Berg.) from 17 lakes on the Araguaia River floodplain, aiming to compare the bioconcentration factor (BCF) in the aerial tissues and roots; evaluate the translocation factor (TF) between plant tissues; and assess the influence of environmental factors and land use on THg concentrations in water and macrophytes. The BCF was significantly higher in roots (1.29 ± 0.32) than in aerial tissues (0.41 ± 0.34), with low TF between plant tissues (0.14 ± 0.06). The highest concentrations of THg in water were determined in lakes with higher land use intensity and a pH close to neutral, indicating the transport of particulate-bound Hg and the immobilization in the water column. In contrast, wetlands were priority areas for the bioconcentration of THg in macrophytes, associated with sulfate, dissolved oxygen, and oxidation–reduction potential in the water. Thus, although P. repens is not a suitable bioindicator of Hg mobilization by anthropogenic land use in our study area, our results suggest the potential of macrophytes as bioindicators of sites that are favorable to Hg methylation.

Vibration transmission model of buildings based on virtual spring model and energy functional variation principle

In recent years, the “metro depot + over-track buildings” development model has witnessed rapid growth in China, driven by its advantages of high land utilization and investment return rate. However, the issue of vibration and noise caused by trains entering and exiting the depot has become a major impediment to its sustainable development. To predict the vibration of over-track buildings induced by trains, this paper presented a vibration transmission model of buildings based on the virtual spring model and the energy functional variation principle. The model was then applied to an actual engineering project at a metro depot in Guangzhou, China, and its accuracy was validated by comparing the results with finite element analysis and field measurements. Additionally, the vibration transmission characteristics of the over-track building were studied. The results indicated that the vibration transmission model of buildings presented in this paper aligns well with the results obtained through finite element analysis and field measurements. This approach eliminates the need to disassemble structural members, and the introduced virtual spring model effectively simulates non-ideal connections and boundary conditions. Consequently, it offers convenient structural connection and boundary condition settings, as well as high computational efficiency. Due to the edge effects on the top floor of the buildings, vibration waves in the higher floors experience a combination of reflected and incident waves, resulting in slow attenuation and, in some cases, amplification of vibrations as they propagate from the middle floors to the top floor. The vibration of the over-track building is closely related to the natural vibration characteristics of the floor and the frequency spectrum characteristics of the vibration source. When the natural frequency of a building's floor aligns with the main frequency of the vibration source, significant vibration amplification occurs due to local resonance.

From access toward sovereignty: A scoping review of municipal land access policies for urban agriculture in the United States

Accessing land—and protecting that access—for the purpose of growing food and other agricultural products is a significant challenge in urban agriculture (UA), an issue exacerbated by racial and wealth disparities and high land values in cities. While local policies and programs supporting the use or sale of public land for UA have increased steadily since the early 21st century, limited research has examined the diversity, accessibility, and permanency of mechanisms facilitating land access and tenure. To address this gap, we compared the availability and characteristics of land access mechanisms across the 40 most populous U.S. cities. While 75% of cities employed at least one mechanism to facilitate land access, few (20%) offered multiple options. Mechanisms facilitating temporary use of public land for UA such as Adopt-A-Lot programs and city-run farms and gardens were more common than those enabling more secure tenure through long-term leases, land trusts, and simplified sales processes. Most policies and programs explicitly focused on local residents and nonprofit/community groups rather than for-profit entities. Nearly half (45%) of cities designed their land access mechanisms with a focus on equity or supporting underserved populations. Less than a quarter of cities offered subsidized water access, liability insurance, soil testing, or funding to complement public land access. The diversity of available mechanisms for facilitating land access underscores how different cities are enabling UA for different goals. Additionally, the incongruence between advocates’ demands for land sovereignty and the mechanisms currently offered raise questions about the extent to which cities are advancing permanent land reforms or provisional interventions at risk of revocation. Our findings may be of use to policymakers and advocates who are creating, comparing, and adapting land access policies and programs to best address growers’ needs and advance sustainable and equitable food transformations.

An Integration of Logistic Regression and Geographic Information System for Development of a Landslide Hazard Index to Land Use: A Case Study in Pingtung County in Southern Taiwan

In Taiwan, mountainous areas account for approximately two-thirds of the total area. The steep terrain and concentrated rainfall during typhoons cause landslides, which pose a considerable threat to mountain settlements. Therefore, models for analyzing rainfall-induced landslide hazards are urgently required to ensure adequate land use in mountainous areas. In this study, focusing on Pingtung County in southern Taiwan, we developed a landslide hazard index (IRL) to land use. Using FORMOSA-2 and SPOT-5 satellite images, data were collected before and after four typhoons (one in 2009 and three in 2013). The ArcGIS random tree classifier was used for interpreting satellite images to explore surface changes and disasters, which were used to analyze slope disturbances. The product of the maximum 3-h rolling rainfall intensity and effective accumulated rainfall was used as a rainfall trigger index (IRT). Considering environmental and slope disturbance factors, an index of slope environmental strength potential (ISESP) was developed through logistic regression (LR). Landslide hazard to land use was estimated using IRT and ISESP. The average coefficient of agreement (Kappa) was approximately 0.71 (medium to high accuracy); the overall accuracy of slope environmental strength potential analysis was approximately 80.4%. At a constant ISESP, IRT increased with the increasing hazard potential of rainfall-induced landslides. Furthermore, IRT and ISESP were positively correlated with landslide occurrence. When large ISESP values occur (e.g., fragile environment and high land development intensity), small IRT values may induce landslides.

Effect of Pickling Methods on the Quality and Flavor of Umeboshi

Umeboshi is made by pickling plums in salt. The quality of umeboshi varies depending on the pickling method and additives used. In the present study, we compared the quality of plums pickled in salt, brine, and Ca-supplemented brine. Quality determinants of the pickled plums included hardness, moisture content, pH, Brix value, fruit color, and malic acid, citric acid, and salt concentrations. We also performed a microbiological evaluation of the umeboshi. Additionally, using a questionnaire, we surveyed consumer preferences for umeboshi pickled using different additives. Salt-pickled umeboshi had a high pH and low citric acid content, resulting in a mild flavor, whereas umeboshi pickled in brine had a high malic acid content. After soaking in various salts, the acidity of pickled plums increased. Moreover, umeboshi pickled in Ca-supplemented brine exhibited high L-and a-values. Our results suggest that malic acid contributes to the flavor and appeal of umeboshi and that Ca supplementation in the brine results in bright-colored umeboshi.

Correlation of Soil Chemical, Biological, and Physical Characteristics on Productivity of Maize in Cibugel District, Sumedang Regency

Maize as one of the national food commodities, experiences an increase in demand every year. Both internal and external factors influenced the growth of corn plants. Internal factors originated from the plant, such as inherited genetic traits, while external factors came from the environment, including soil properties and climate. External factors that affected plant growth included biological, physical, and chemical soil characteristics. This research aimed to understand the interrelation between soil acidity (pH), phosphorus availability (P), cation exchange capacity (CEC), nitrogen-fixing bacteria, earthworm population, carbon-nitrogen ratio (C/N), and soil texture on the productivity of maize in Cibugel District and how these factors were interconnected to support plant growth. The research employed a descriptive survey and comparative method, with soil samples taken from 18 soil samples from six villages in the Cibugel Subdistrict, Sumedang Regency. The correlation analysis results showed a significant positive relationship between cation exchange capacity and corn productivity and a significant negative relationship between available phosphorus and corn productivity. This implied that increasing cation exchange capacity could enhance productivity while increasing available phosphorus could decrease productivity. The research aided in identifying soil characteristics influencing high land productivity in the area.

Birth weight in the Northwest region of Argentina. Comparison with a national reference and an international standard.

Introduction. Size at birth is subject to genetic and environmental influences; altitude is highly influential. Birth weight (BW) is the most widely used indicator to assess size at birth; different standards and references are available. Due to the variability in BW distribution in relation to altitude in the province of Jujuy (Argentina), the purpose of this study is to analyze the percentile distribution of BW in the highlands (HL) and the lowlands (LL) of Jujuy based on gestational age (GA) and sex and compare it with a national reference and the INTERGROWTH-21st (IG-21) international standard. Population and methods. The records of 78 524 live births in Jujuy in the 2009-2014 period were analyzed. Using the LMS method, the 3rd, 10th, 50th, 90th, and 97th percentiles of BW/GA by sex were estimated for the HL (≥ 2000 MASL), the LL (< 2000 MASL), and the total for Jujuy, and compared with the Argentine population reference by Urquía and the IG-21 standard using growth charts. The statistical significance was established using the Wilcoxon test. Results. BW in Jujuy showed a heterogeneous distribution, with statistically significant differences (p < 0.05) between the LL and the HL. When compared with the national reference and the IG-21 standard, differences in terms of altitude were observed, mainly in the 90th and 97th percentiles for both regions and the 3rd and 10th percentiles in the HL compared with the international standard. Conclusions. BW distribution varied in association with altitude; therefore, to assess intrauterine growth, it is critical to include GA and the environment in which the pregnancy takes place.

Subsidizing the Shift to Renewable Energy in Korea: A Levelized Cost Analysis and Computation of Required Subsidies

This study addresses the pivotal challenge of transitioning from nuclear to renewable energy sources, considering the distinctive energy landscape of South Korea characterized by high land costs and high dependence on nuclear energy. Amidst global momentum toward sustainable and carbon-neutral energy, South Korea’s Renewable Energy 3020 Implementation Plan aims to achieve 20% of power generation from renewables by 2030. Shifting away from nuclear energy, however, may lead to rising energy costs, supply disruptions, and environmental ramifications. Furthermore, achieving grid parity between renewable energy and nuclear power by the late 2030s is unlikely, in contrast to earlier projections. This is primarily due to the comparatively lower production cost of nuclear energy. To expedite the shift toward renewable energy, our study suggests transitioning from the Renewable Energy Portfolio Standard (RPS) to a Feed-in-Tariff (FiT) system. This change would offer voluntary incentives for investment in renewable energy. Additionally, we compute Feed-in-Tariff subsidies required to achieve grid parity by 2030, concluding that the amount of subsidies required to reach grid parity by 2030 is 54% of retail electricity price. This research offers valuable insights for policy formulation and energy transition planning.