Environmental Management Plan Research Articles

A Deep Learning Based Soil Type Classification and Recommendation of Crops to the Soil Type

Accurate classification of soil surface texture plays a pivotal role in agriculture, environmental management, and land-use planning. However, the classification of soil textures from RGB images obtained under uncontrolled field conditions remains a challenging task due to the inherent complexities of natural environments. In this study, we propose a novel approach for Soil Surface Texture Classification using Convolutional Neural Networks to address these challenges.

Strategies for Sustainable Management of Mineral Resources for Koreaʼs Major Battery Producers (LG Energy Solution, Samsung SDI, SK On)

The proliferation of global regulations concerning sustainability and environmental protection poses a significant challenge to maintaining corporate sustainability. Consequently, companies must strategically respond to navigate these regulations in their management plans. The objective of this research was to analyze how Korean companies(LG Energy Solution, Samsung SDI, SK On) are responding to sustainable mining and procurement and how they adopt environmentally friendly practices in their mineral supply chain for battery manufacturing. We also proposed new actions to enhance their management strategies for sustainable mineral resource management. Our observations indicated that companies should implement a long-term performance measurement throughout their mineral supply chain. Additionally, there is an urgent need to develop a more proactive environmental management plan when evaluating suppliers from mineral extraction to utilization, adhering to global guidelines such as OECD regulation. In addition to the widely adopted monitoring of greenhouse gas emissions, priority assessments must be undertaken concerning soil and water pollution, waste management, and biodiversity loss within the supply chain linked with climate change under the nature-positive concept. We recommended the establishment of a recycling system for battery waste(i.e., minerals), which is essential for a resilient battery supply chain.

Enhancing Marina Sustainability: Water Quality and Flushing Efficiency in Marinas

Coastal marinas are particularly susceptible to pollution due to their limited flushing capabilities and ineffective management practices. Therefore, it is necessary to implement measures that promote enhanced sustainability. This study aims to explore the intricate relationship between tidal flushing characteristics and water quality within marinas to foster sustainable development and management practices that mitigate environmental impacts. The research scrutinized seven marinas along the Kuwait coastline, each exhibiting unique hydrodynamic conditions and geometric configurations. Water quality indicators such as BOD, COD, DO, and SO42− were evaluated concerning each marina’s flushing efficiency through field assessments and hydrodynamic numerical modeling. An empirical formula was developed to predict and optimize flushing mechanisms, which provided critical insights into the design and management of marinas to enhance water quality. The study revealed significant disparities in water quality across the examined marinas as the hydrodynamic and geometric conditions differed. The empirical formula developed offers a novel approach to quantitatively assessing flushing efficiency, which is valuable for marina designers and managers, facilitating informed decisions, and promoting environmental sustainability. This study underscores the critical importance of integrating hydrodynamic and geometric considerations in the design and management of marinas to improve water quality and sustainability. It advocates for a multifaceted strategy that includes advanced design solutions, rigorous policy implementation, and active community engagement to safeguard coastal marine environments. The findings emphasize the need for comprehensive environmental management plans.

Performance Indicators for Assessing Environmental Management Plan Implementation in Water Projects

This research aims to examine the performance indicators that are crucial for assessing the implementation of environmental management plans (EMPs) in water projects. To achieve this aim, a questionnaire survey, integrating a systematic literature review (SLR), was used to identify the initial performance indicators. Subsequently, ten interviews with environmental professionals were carried out to uncover additional indicators not identified by the SLR. Following the survey design and pilot study of the survey, the data collection resulted in 112 valid responses from environmental professionals engaged in water projects in Saudi Arabia. The data analysis encompassed reliability tests, mean ranking, normalized mean analysis, exploratory factor analysis (EFA), and partial least squares structural equation modeling (PLS-SEM). The normalized mean analysis highlighted 13 critical parameters among 39 for further investigation. The EFA disclosed three underlying constructs: environmental impact indicators, operational and safety indicators, waste management, and public safety indicators. PLS-SEM was used to validate the relationship between these indicators and the successful implementation of EMPs. The results indicate that all three underlying constructs positively influence the effective execution of such plans. This is the first study to model the relationships of the performance indicators in water projects. The study’s findings underscore the importance of developing precise performance indicators tailored to diverse construction projects that are mainly focused on water facility construction. The identified performance indicators offer significant insights for policymakers, practitioners, and researchers and provide a solid foundation for the advancement of knowledge in the field of environmental management.

Effects of sediment-storage dams on suspended sediment transport in the Sera Lake Watershed, northeast Turkey

In this study, the effects of cascade sediment-storage dams (SSDs) on the suspended sediment (SS) transport in the Sera Lake Watershed (northeast Turkey) were investigated. Ten SS monitoring stations from upstream (S01) to downstream (S10) were selected for the study considering the locations of the SSDs and Sera Lake. In a gauging station, where S05 was selected, the water stage monitoring studies were also conducted, and daily discharges and SS loads were computed. The Spearman correlation coefficient between SS and discharges data was computed as 0.592. The deterioration of the naturalness of the watershed with external interventions was effective on this value. While the Sera Lake trapped 33% of the SS transport, this value varied between –25.8 and 44% for SSDs. Although the SSDs have been proportionately succeed in trapping the SS, they have been insufficient in preventing sedimentation and problems caused by sediment transport in the watershed. In addition, the annual average soil erosion amount was determined by the revised universal soil loss equation (RUSLE) method in the watershed. According to the RUSLE method, the annual average soil loss of the watershed is 1.65 tons/ha. The SDR value of the watershed was calculated as 0.104. Integrating different environmental management tools to achieve a balanced and sustainable decision, a strategic environmental management plan should be constituted.

Assessment of aquatic ecosystem quality in Dharoi Reservoir using Sentinel-2 satellite imagery

Background: Dharoi Reservoir, located in Gujarat, India, is a vital freshwater resource supporting agriculture, industry, and local communities. Chl-a, a key indicator of water quality, reflects the trophic state and ecological balance of aquatic systems. Objective(s): This study aims to provide comprehensive insights into the water quality dynamics of Dharoi Reservoir, offering valuable information for environmental management and sustainable water resource planning. Methods: This study employs high-resolution Sentinel-2 satellite imagery to analyze Chl-a concentrations in the reservoir during October 2020. The Chl-a index, calculated by dividing Sentinel-2 bands B5 and B4, reveals a spatial distribution of Chl-a concentrations. Results: The Chl-a index ranges from 73.78 to 100. The mean Chl-a index is 91.6 with a standard deviation of 3.27, indicating elevated and variable Chl-a concentrations. Conclusions: The findings contribute to the understanding of the reservoir’s ecological health and assist in making informed decisions for water quality management. This research exemplifies the integration of remote sensing technology and environmental stewardship, promoting sustainable water management practices in the region. Policy recommendations: No policy recommendations are explicitly stated in the abstract, but they could be inferred from the conclusions. For example, one possible policy recommendation is to monitor and regulate the sources of nutrient inputs into the reservoir, such as agricultural runoff, sewage, and industrial effluents, to reduce the risk of eutrophication and algal blooms. Another possible policy recommendation is to implement adaptive management strategies that consider the seasonal and spatial variability of Chl-a concentrations and their impacts on water quality and availability.

THE ROLE OF SMART CITY POLICY IN IMPROVING THE QUALITY OF LIFE IN SERANG CITY BANTEN

This research examines the implementation of smart city policy in Serang City, Banten Province, Indonesia, in the context of local government reform from a centralised to a decentralised system. The main objective is to analyse how smart city policy can improve peoples welfare through integrating information technology in e-government, e-budgeting, e-planning, environmental management, and urban planning. The methodology used is a descriptive analysis design with a qualitative approach involving direct data collection in the field and observation of social interactions. The results show that the effectiveness of smart city policy implementation in Serang City is influenced by five main dimensions: environmental conditions, inter-organizational relationships, available resources, characteristics of implementing agencies, and the quality of public services. These factors interact with each other to support or hinder the achievement of policy objectives. This study concludes that the success of smart city policies depends on technology and the ability to manage resources, inter-organizational coordination, and human resource quality development. Continuous evaluation and adjustment of policies and practices are needed to create sustainable and inclusive solutions to improve peoples quality of life. KEYWORDS: Decentralization, Smart City, Serang City, Policy Implementation

Electronic Submission in Construction: Government Approval Practice and Potential Issues in Malaysia

Post-COVID-19 has strongly impacted the construction industry worldwide; many parties took alternatives to facilitate the relatively overdue work arrangements. The Malaysian construction industry has been directly affected and has had to increase the adoption of One-Stop Centre (OSC) electronic submissions. According to the Malaysian online system submission policies, it is necessary to obtain construction approval from the OSC through the implementation by town councils. Not understanding the process and documents involved in this procedure might result in ineffective submissions. Hence, the study objectives are to identify: 1) The current submission process and documents for construction approval to town councils, and 2) Issues related to the e-submission process. Semi-structured interviews were conducted with individuals from twenty town (20) city councils in Malaysia to achieve those objectives. The results indicate that the general process includes submitting the required documents through the OSC, validation of submittals, and meeting approvals. The required documents include planning permissions, drawings, engineering plans, environmental management plans, landowner documents, and approvals by other government agencies. Finally, the issues with the e-submission include technical problems and the lack of experience of all involved stakeholders. These findings can be used by policymakers to improve the submission system and industry practitioners in acquiring construction approvals.

Analysis of Potential Environmental Risks in the Hydraulic Fracturing Operation in the “La Luna” Formation in Colombia

This article presents an in-depth analysis of potential environmental risks associated with hydraulic fracturing operations within the “La Luna” formation in Colombia. Using the Conesa methodology, it assesses the environmental impacts of unconventional reservoir production in Colombia, including water usage, chemical additives, air emissions, and the potential for groundwater contamination. This study incorporates comprehensive data on geological characteristics, operational procedures, and environmental conditions specific to the region. This analysis highlights the need for a proactive approach to managing potential environmental risks associated with hydraulic fracturing in Colombia. The findings underscore the importance of implementing robust regulatory measures, comprehensive monitoring systems, and the industry’s best practices to mitigate and prevent adverse environmental impacts. This research contributes to the ongoing global dialogue on the environmental implications of hydraulic fracturing in regions with sensitive ecological conditions. The environmental impacts of unconventional reservoirs are widely recognized as a general consensus; however, the absence of applied studies with the rigor of an explicit methodology in Andean countries highlights the need for specific research in this region. This article addresses this gap by proposing a detailed and structured methodology to assess and mitigate environmental impacts in unconventional reservoirs. Emphasizing the importance of knowing the characteristics of reservoir fluids, this research highlights that this critical information is only revealed by drilling exploration wells and PVT (pressure, volume, and temperature) analysis. Obtaining this data is crucial for shaping specific mitigation measures, thus allowing for the formulation of a robust environmental management plan tailored to the conditions of the reservoirs in the Andean region. This precise and contextualized approach contributes to closing the knowledge gap and promotes more sustainable practices in the exploitation of unconventional reservoirs in this specific geographical context. The methodology used in this study proved its effectiveness by accurately quantifying the risks associated with each of the environmental alterations inherent to the hydraulic fracturing process in the La Luna formation. The results obtained allowed for the identification of the critical points most susceptible to environmental impacts, serving as a solid basis for the elaboration of an environmental management plan. This strategic approach not only enabled the delineation of specific mitigation measures but also facilitated the selection of the most appropriate locations for the implementation of the plan, maximizing the effectiveness of corrective actions. It is noteworthy that the successful application of the Conesa methodology in this unconventional reservoir context evidences the versatility and applicability of this approach, consolidating it as a valuable tool for environmental assessment and effective planning in the hydraulic fracturing industry.

Short food chains, highly diverse and complex food web networks in coastal lagoons

Shallow semi-enclosed coastal lagoons are recognized as important biodiversity hotspots and nursery areas for many organisms. However, the topology of the complex food web networks therein has never been studied. Highly defined food web networks were assembled for Ria de Aveiro, Ria de Alvor and Ria Formosa. Their structural network properties were analysed and compared to those of large open estuaries, small intermittent estuaries, as well as other marine ecosystems. The main conclusion was that these coastal lagoons are dominated by intermediate species like other estuarine systems, however they present more complex trophic networks (higher connectance) than large open estuaries, even though having shorter food chains. They also have lower mean path length between pairs of species. Shorter chain length means that disturbance is more likely to travel from basal to top species and likewise from the top to the bottom of the food web, while low path between species pairs implies a higher likelihood that disruption of one species affects any other species. These fragilities may be somewhat counterbalanced by the high connectance of these networks. The most connected species (with the highest degree = highest number of links at node) in the networks are crab and shrimp species. The non-indigenous blue crab appears as the most connected species in Ria de Alvor and among the top 5 most connected species in Ria Formosa. Highly commercial Sparid fishes play particularly important roles in the network as both highly connected and generalist predators. Top species are mostly birds. The top 10 species with more predators are all amphipods in Ria de Aveiro, while in Ria de Alvor they encompass insects, crabs, and gastropods, and in Ria Formosa they are all gastropods, with the exception of a non-indigenous polychaete. The particular network topology and inherent potential fragility of coastal lagoon food webs should be taken into account when designing environmental management plans.

The digital economy and job quality: Facilitator or inhibitor? --Evidence from micro-individuals

The improvement of workers' employment quality is an important manifestation of high-quality economic development. Based on 13,969 valid samples from the China Family Panel Studies (CFPS) data, the paper examines the impact of urban digital economy development level on individual employment quality from a micro perspective using a multilevel regression model. The study finds that the level of urban digital economy development significantly promotes individual employment quality. For every 1 unit increase in the level of urban digital economy development, the quality of individual employment will increase by 1.033 units. And air quality positively moderates the relationship between urban digital economy development level and individual employment quality, i.e., in cities with good air quality, the urban digital economy development level has a more important role in promoting the quality of individual employment. Further heterogeneity analysis reveals that the level of digital economy development in cities has a more pronounced effect on the employment quality of males, younger workers (40 years old and below), and party members. To be more specific, every increase of one unit in the development level of urban digital economy will increase the employment quality by 1.649, 0.787, and 0.897 units, respectively. The above findings are useful for the formulation of policies to achieve high quality of employment and the implementation of environmental management plans.

Development of an Evaluation Index for Forest Therapy Environments.

Most research on forest therapy has examined the therapeutic effects of forest activity development. There has been insufficient research identifying and evaluating the forest therapy environment. This study aimed to derive a representative forest therapy environment from each of the four evaluation sites, comprising national luxury forests; Scopus, PubMed, Medline, Web of Science, RISS, and DBpia were searched, and 13 studies evaluating forest therapy environments were analyzed and synthesized. After conducting a Conformity Evaluation, one layer of items, comprising anions with low conformity scores, was excluded, and six field measurements, phytoncide, oxygen, illuminance, UV-rays, sound, and anion, were added to increase objectivity. Finally, five forest therapy environment categories and 25 detailed items were derived. Analytic Hierarchy Process-based importance was evaluated to calculate the weight between the final evaluation items. According to the site evaluations, the categories of landscape, forest air, sunlight, sound, and anions appeared, in that order. This study is significant as it developed evaluation items and rating criteria for forest therapy environments, applied these in the field, and derived representative forest therapy environments for each location. This study developed indicators, provided basic data for establishing a therapy environment management plan, and there recommendations were made for an environment suitable for visitors and customizing forest welfare and therapy services.

Potential for managing pool levels in a flood-control reservoir to increase nitrate-nitrogen load reductions.

Few strategies are available to reduce nitrate-nitrogen (NO3 -N) loads at larger landscape scales, but flood control reservoirs are known to reduce riverine loads. In this study, we evaluated the potential to increase nitrogen (N) loss at Lake Red Rock, a large reservoir located in central Iowa, by evaluating the inundation of sediments deposited at the reservoir inflow. Sediment samples were collected at 51 locations in the lower delta region and analyzed for particle size and nutrient content. Nitrogen loss rates in delta sediments were determined from laboratory assays, and satellite imagery was used to develop a rating curve to quantify land area inundated within the delta. The daily mass of NO3 -N reduced with delta inundation was estimated by applying the mean N 24-h loss rate (0.66g N m2 day-1 ) by the area of inundation (m2 ). Results indicated that raising pool elevations to inundate more of the delta would result in greater N losses, ranging from 2 to 377 Mg per year. Potential N loss of 102 Mg achieved by increasing pool stage by 0.5m would be equivalent to installing nearly 650 edge-of-field practices in the watershed. Although more work is needed to integrate with an existing environmental pool management plan, study results indicate that reservoir management could achieve N reductions at a novel landscape scale.

Assessing Environmental Management Plan Implementation in Water Supply Construction Projects: Key Performance Indicators

Assessing the implementation of environmental management plans (EMPs) in construction projects is crucial for meeting environmental sustainability goals and reducing potential adverse impacts. By using performance indicators (PIs), stakeholders can objectively measure the performance of EMP implementation, identifying areas of success and areas that may require improvement. Therefore, this study aims to examine the PIs for assessing EMP implementation in water supply construction projects, using Saudi Arabia as a case study. Data from semi-structured interviews and a systematic literature review were used to develop a potential list of PIs. Then, the PIs were used to create a survey and distributed to industry professionals. Data from 112 respondents were analyzed using mean ranking analysis, the normalization method, exploratory factor analysis (EFA), and fuzzy synthetic evaluation (FSE). Eighteen critical PIs for assessing EMP implementation in water supply construction projects were identified, including public safety, road safety hazards, construction waste, clogged drainage, irregular flooding, the spilling of chemical substances, slope failures, soil erosion, landslide occurrence, increased schedule waste, changes in the color of bodies of water, oil/fuel spills, restricted site accessibility, the smell of run-off water, traffic accidents on construction sites, the spread of disease, changes in the color of run-off water, and overflowing silt traps. The EFA revealed that PIs can be grouped into three underlying constructs: fluid-related indicators, health and safety-related indicators, and site environment-related indicators. The FSE results confirmed that all PIs are between moderately critical to critical. This study’s significance lies in its examination of PIs that aim to improve the environmental performance of water supply construction projects. Understanding which indicators are most effective allows for targeted improvements, helping to minimize negative environmental impacts and ensuring sustainable practices. Finally, this study is a pioneer in examining the critical PIs for assessing EMP implementation in water supply construction projects.

Enhancing Decision-Making in Complex Environments: Integrating AHP, Delphi, and Neutrosophic Logic

The integration of the Analytic Hierarchy Process (AHP), the Delphi method, and neutrosophic logic provides a powerful framework for complex decision-making, allowing for an enhanced handling of uncertainties and multiple criteria that characterizes many strategic planning and policy formulation scenarios. AHP’s structured approach helps decompose decision-making into manageable sub-problems, while the Delphi method facilitates expert consensus through iterative rounds, enriching the decision-making process with diverse expert insights. The inclusion of neutrosophic logic allows for better representation and processing of uncertainty, offering a flexible way to handle indeterminate and contradictory information. This robust methodology not only improves the precision of decisions but also adapts to the nuanced requirements of multifaceted decision environments. Future research could benefit from integrating these methods with technological advancements like artificial intelligence to automate and optimize the decision-making process further. Applying this integrated approach in various sectors such as healthcare, environmental management, and urban planning could also provide valuable insights into its effectiveness and scalability.

Participatory Design Study in the KOTAKU Program Using Settlement Environmental Management Plan Document (RPLP) Review in increasing Community Capacity for Sustainable Development

This study aims to analyze the impact of implementing the Settlement Environmental Management Plan Document (RPLP) in strengthening community capacity in the KOTAKU Program for environmentally sustainable development. The KOTAKU program is a government initiative that aims to improve access and quality of urban settlements, with a focus on slum settlements. RPLP is a planning document that provides guidance in structuring an integrated, sustainable and participatory settlement environment. This research uses a qualitative method by conducting case studies at several locations that have implemented RPLP in the KOTAKU Program. Data was collected through in-depth interviews with various stakeholders, including local communities, local governments and other relevant institutions. The analysis is carried out by identifying changes that have occurred in community capacity after the implementation of the RPLP, including increased knowledge, skills, and participation in decision-making related to the settlement environment. The results of this study indicate that the implementation of the RPLP in the KOTAKU Program has a positive impact on strengthening community capacity. Community participation in planning and decision-making processes increases, resulting in a better and more sustainable living environment. Communities also acquire new knowledge and skills in managing the residential environment, such as waste management, energy saving and utilization of local resources. This research makes an important contribution in understanding the importance of implementing RPLP in environmental sustainable development. The recommendations resulting from this research can be used by local governments and other related institutions to increase the effectiveness of the KOTAKU Program and strengthen the community's role in environmentally sustainable development.

An Assessment of Greenhouse Gas Emissions Caused by the Fire of Strategic Diesel Tanks and Providing an Environmental Management Plan Based on the McKinsey 7S Model

An Assessment of Greenhouse Gas Emissions Caused by the Fire of Strategic Diesel Tanks and Providing an Environmental Management Plan Based on the McKinsey 7S Model

Extracting Plastic Greenhouses from Remote Sensing Images with a Novel U-FDS Net

The fast and accurate extraction of plastic greenhouses over large areas is important for environmental and agricultural management. Traditional spectral index methods and object-based methods can suffer from poor transferability or high computational costs. Current deep learning-based algorithms are seldom specifically aimed at extracting plastic greenhouses at large scales. To extract plastic greenhouses at large scales with high accuracy, this study proposed a new deep learning-based network, U-FDS Net, specifically for plastic greenhouse extraction over large areas. U-FDS Net combines full-scale dense connections and adaptive deep supervision and has strong future fusion capabilities, allowing more accurate extraction results. To test the extraction accuracy, this study compiled new greenhouse datasets covering Beijing and Shandong with a total number of more than 12,000 image samples. The results showed that the proposed U-FDS net is particularly suitable for complex backgrounds and reducing false positive conditions for nongreenhouse ground objects, with the highest mIoU (mean intersection over union) an increase of ~2%. This study provides a high-performance method for plastic greenhouse extraction to enable environmental management, pollution control and agricultural plans.

Assessing environmental health impacts of coal mining exploitation in Iran: A Rapid Impact Assessment Matrix (RIAM) approach for environmental protection

Environmental Impact Assessment is the process of evaluating the effects caused by a project on the environment. The outcomes generated by this assessment can lead to a reduction of the negative effects and an increase in the positive effects caused by mine projects. The present study was conducted to evaluate the environmental impact assessment of the Goliran Coal Mine in northern Iran. In the descriptive-analytical study, to achieve the objectives, observatory surveys were conducted around the coal mine using a checklist, which was about the positive and negative effects of a coal mine. Then the data were entered into the RIAM and the positive and negative effects were ranked and the most important effects were determined. In RIAM, one point is assigned to each component. 17 important activities for environmental impacts were identified using a checklist. Among the activities carried out at the coal mine site, the major ones included tunnel excavation, construction of the rail line collection and disposal of coal mine effluent, coal transportation, collection and disposal of mine tailings, and technical defects and leakage. The scores of each environmental factor were based on the four environmental components: physical/chemical, biological/ecological, social/cultural, and economic/operational. The results of the present study showed that the most negatively affected environmental components are the physical/chemical components derived from three activities; the construction of the underground tunnel; the construction of a coal transport rail line; and the actual transportation of coal extracts. The scores of each environmental factor based on the four components at the Goliran coal mine in northern Iran indicate that the highest negative score was -64, corresponding to the physical/chemical component, and was assigned to air pollution. On the other hand, the highest positive score corresponds to the economic/operational component with +54, assigned to the income that employees earn from the mine. Overall results showed that the coal mine in northern Iran had negative effects on the environment but the effects were not severe. It is suggested that for future research, corrective measures should be taken in the form of an environmental management plan to reduce the negative effects caused by coal mining, and then prospective research should be done to check the extent of reducing the negative effects.

Evaluation of the Suspensioning Decision of Hydropower Dam in the United Nations Educational Scientific and Cultural Organization (Unesco) World Natural Heritage Registered Forest (The Case of Shafarood Dam, Iran)

Objective: The Hyrcanian forests (Caspian forests) are located in western Asia and were inscribed on the United Nations Educational Scientific and Cultural Organization (UNESCO) World Heritage List in 2019. The construction of the hydropower Shafarood dam began in these forests in 1990.Because of budget deficits and the suspensions incurred by opposing activists in 2013, dam construction has only advanced by 23% ever since. The main purpose of this paper was to evaluation of the suspensioning decision of hydropower dam in the United Nations Educational Scientific and Cultural Organization (UNESCO) world natural heritage registered forest.
 
 Theoretical framework: The case of this study was the Shafarood dam in Iran. There were several meetings held between opposing and agreeing stakeholders and the relevant organizations and therefore, it was decided to unsuspend the project provided that specific changes are made to the plan and adequate financial resources are allocated. The dam’s reservoir has caused the destruction of 175 hectares of Hyrcanian forests and its biodiversity. Forests play a key role in reducing greenhouse gases on a global scale.
 
 Result: Based upon the collected data and opinions from the proponents and opponents of the dam construction, and according to the options of implementing or terminating; the environment was divided into three categories and accordingly, the environmental impact assessment (EIA) was performed. Finally, an Environmental Management Plan (EMP) was proposed for this dam and those under construction or suspended in forested areas.
 
 Conclusion: To minimize the negative environmental effects of Hydropower Shafarood dam, an environmental impact reduction plan was proposed, whichmainly focused on mitigating measures. Reduction measures in this plan include reducing the height of the dam, proper localization of supply materials required for the dam construction, replacing modern agriculture with traditional agriculture, looking for an alternative water supply for drinking and industrial sector via conventional and unconventional methods, forest rehabilitation.