Ranking and Level of Development According to the Agricultural Indices, Case Study: Sistan Region

Sistan region is one of the most important agricultural areas in the province of Sistan and Baluchistan. Therefore, given the heterogeneity in agriculture and recognizing these differences, the aim of this study was to obtain the level of development of agriculture in the Sistan region. To obtain this purpose Fuzzy Analytical Hierarchy Process (FAHP) and the numerical taxonomy were used in a view of 20 indicators in the agricultural sector in the region. The required data were achieved by filling out the questionnaire certified experts and statistical yearbooks in the agricultural sector. Data analysis was used by Matlab and SPSS softwares. Results of numerical taxonomy showed that Markazi, Shibab and Poshteab sectors component parts were less developed. Also, Jazinak and Miyankangi are in the category sections were undeveloped. The results of Fuzzy Analytical Hierarchy Process(FAHP) model indicated that Markazi, Shibab and Poshteab sectors are in the first rank of development, in terms of agricultural indices in the region. Jazinak and Miyankangi are in the fourth and fifth ranking. Therefore, in general, it is clear that the level of development of agricultural in Sistan region isn’t in good condition. In this regard it is suggested that appropriate planning to promote agricultural development is on the agenda should be applied

Reducing water conveyance footprint through an advanced optimization framework

This study investigates the optimal and safe operation of pumping stations in water distribution systems (WDSs) with the aim of reducing the environmental footprint of water conveyance processes. We introduced the nonlinear chaotic honey badger algorithm (NCHBA), a novel and robust optimization method. The proposed method utilizes chaotic maps to enhance exploration and convergence speed, incorporating a nonlinear control parameter to effectively balance local and global search dynamics. Single-objective optimization results on a WDS show that NCHBA outperforms other algorithms in solution accuracy and convergence speed. The application of the proposed approach on a water network with two variable-speed pumps demonstrated a significant 27% reduction in energy consumption. Expanding our focus to the multi-objective optimization of pump scheduling programs in large-scale water distribution systems (WDSs), we employ the non-dominated sorting nonlinear chaotic honey badger algorithm (MONCHBA). The findings reveal that the use of variable-speed pumps not only enhances energy efficiency but also bolsters WDS reliability compared to the use of single-speed pumps. The results showcase the potential and robustness of the proposed multi-objective NCHBA in achieving an optimal Pareto front that effectively balances energy consumption, pressure levels, and water quality risk, facilitating carbon footprint reduction and sustainable management of WDSs

Spatiotemporal variation of projected drought characteristics in Iran under climate change scenarios using CMIP5-CORDEX product

This study aims to assess the change of drought characteristics (intensity, duration, and frequency) under the effect of climate change in Iran using the modified standardized precipitation index (MSPI) and theory of runs on annual and seasonal scales for three near-future, mid-future (MF), and far-future climates. Hence, regional climate models extracted from South Asia-Coordinated Regional Climate Downscaling Experiments (CORDEX-SA) are applied. Regarding the result, MSPI could assign the standardized precipitation index (SPI) values better than the conventional form of SPI during the historical period (HP). The outcomes revealed that the northeast stations will experience a decrease in intensity (up to 24.57% in MF compared with HP) until 2100 at seasonal timescale, while the duration and frequency of drought will be increased. Although the greatest increase in intensity changes of droughts (up to 91%) until the end of the century will happen in the eastern and southwestern regions of Iran, these regions will face the maximum decrease in the duration (−30.54%) and frequency (−25%) of droughts compared with HP at seasonal timescale. In addition, regarding the outcomes of this study, strategies can be adopted to better manage water resources for various regions of Iran

Surface water quality modelling with data scarcity in semi-enclosed coastal regions encompassed distributed islands

Water quality variation in semi-enclosed urban coastal areas with different pollutant sources is a substantial issue. Pollutant entrapment has a significant impact on the lives of the local people. Surface water quality modelling often requires large datasets covering bathymetry, fluid and pollutants boundary conditions, sources and sinks. This is particularly challenging in regions with complex features and poor data availability, such as coastal water bodies featuring a large number of widely distributed islands and estuaries. In this paper, we developed a model of surface water quality and hydrodynamics for Ha Long Bay, in the North of Vietnam and includes 1969 islands, for a one-year period using a water quality dataset obtained for this study. The model utilized extracted bathymetric and geometric data from Admiralty Charts and Admiralty Tide Tables. Water quality coupled with the TELEMAC Model (WAQTEL) Biomass Module was employed to predict pollutant transport in the domain using point and diffused sources while field studies were conducted to collect data for the setting up and calibration of the water quality model. Thirty scattered sampling points were selected, and the water quality parameters were measured during two campaigns. The predicted water level and velocity values matched the local observation data well with a small error (RMSE = 0.19 and 0.16). Both NO3−-N and PO43--P were high near the shoreline and decrease gradually offshore. The maximum concentrations of NO3−-N and PO43--P reached 0.476 mg/L and 0.048 mg/L at the end of 2021 with the RMSE = 0.13 and 0.011, respectively. The levels of NO3−-N and PO43--P and their distributions showed that Ha Long Bay was eutrophic even during the COVID-19 lockdown period

Water Resources Management by Simulation under Virtual Water Scenario in Agricultural Sector, Case Study: Hirmand Catchment, Iran

Due to the frequent drought periods, water consumption increase, and competition of different water-using sectors, the Hirmand catchment is in a critical water status in the Sistan Region. This threat has been intensified in recent years. To cope with this problem, we must pay more attention to different types of water use such as virtual water as a water saving method. The present study calculates virtual water demand of agricultural products in the Sistan Region in the cropping year of 2013-2014 using water evaluation and planning (WEAP) system. Furthermore, impacts of the implementation of the virtual water scenarios are predicted on water resources and consumption over the 2015-2030 period. Results show that tomato and alfalfa have less virtual water demand despite their high water requirements due to their high production yield. Furthermore, wheat and barley have the highest virtual water demand. Also, the results of the WEAP model reveal that in the virtual water scenario, the mean annual water demand is lower than the current account (61% for net efficiency, 17% for current efficiency). Consequently, unmet demand will be reduced about 383 million m3. Therefore, given the prevalence of drought in the region, it is appropriate to implement this scenario to protect water resources. Hence, it is highly recommended to orient planning and investment in agricultural development projects of the Sistan Region with the concept of virtual water

Ranking and Level of Development According to the Agricultural Indices, Case Study: Sistan Region

Sistan region is one of the most important agricultural areas in the province of Sistan and Baluchistan. Therefore, given the heterogeneity in agriculture and recognizing these differences, the aim of this study was to obtain the level of development of agriculture in the Sistan region. To obtain this purpose Fuzzy Analytical Hierarchy Process (FAHP) and the numerical taxonomy were used in a view of 20 indicators in the agricultural sector in the region. The required data were achieved by filling out the questionnaire certified experts and statistical yearbooks in the agricultural sector. Data analysis was used by Matlab and SPSS softwares. Results of numerical taxonomy showed that Markazi, Shibab and Poshteab sectors component parts were less developed. Also, Jazinak and Miyankangi are in the category sections were undeveloped. The results of Fuzzy Analytical Hierarchy Process (FAHP) model indicated that Markazi, Shibab and Poshteab sectors are in the first rank of development, in terms of agricultural indices in the region. Jazinak and Miyankangi are in the fourth and fifth ranking. Therefore, in general, it is clear that the level of development of agricultural in Sistan region isn’t in good condition. In this regard it is suggested that appropriate planning to promote agricultural development is on the agenda should be applie

Analysis and Calculation of the Required Tools for Water Quality Protection in order to Minimize Environmental Hazards

Occurrence of factors such as decreasing atmospheric precipitation, population growth and industry progress has increased the importance of paying attention to the proper quality management of water resources. Pollution sources are categorized in different aspects. In this research, controllable and uncontrollable pollutant management is considered. To manage and control the damages caused by each of these types of pollutants, a certain qualitative tool is employed. Assimilation capacity is suggested when the pollution source is controllable and dilution flow is the proposed tool of this investigation to uncontrollable pollution management. To analyze and calculate the above mentioned qualitative tools, the simulation process is used by analytical solution of the advection-diffusion equation. The case study considered in this research is an area with specific characteristics, which has been investigated by many previous researches. Efficient indices in determination of qualitative tools including mean area of unallowable concentration (¯(c_a )), affected distance (X) and duration of unallowable pollution concentration contact with river (T) were calculated in each simulation process loop. The results demonstrated that 94.1% variation of river-reservoir flow discharge can change the assimilation capacity up to 99.3%. Moreover, by applying a suitable dilution flow, 10 and 20 tons of sudden contaminants arrived at the permitted concentrations of 0.5 and 1 mg / l over the river. In this process, values of the crucial quality parameters of the river ((c_a ) ̅، X و T) change up to 96.6%, 92.2% and 53.7%, respectively

Investigating of the Existing Urban Drainage Systems for the Passage of Floods and the Possibility of Its Modification Using SWMM5 (Case Study: Darab county)

Today, with increasing urbanization and changing land border cities such as gardens, agricultural land, Barren land into residential areas, causing damage morphology and physical properties and hydrological basins are, This will redirect the natural flow of the water from rainfall and reduced infiltration basin is a result of problems such as flooding. Darab in Fars province and city in the study area were dry climate is Intense rains occur from time to time that the formation of rainfall runoff is significant BMP and LID are ahead in research techniques and strategies such as rain barrels, infiltration trenches, wells, Absorption, permeable flooring, bio-gardens and the use of storage tanks have been used and have shown good performance. Using information such as maps, land use, topography of the region, and rainfall statistics and modeling to model swmm5 After the reform and the implementation of the proposed method in comparison with the situation in the rain with a return period of ten years the peak runoff in the basin, 31% and maximum water level in the channel output to half the rate of 17.5% compared to current situation has increased infiltration basin In this study, we were able to construct 6 of 61 thousand cubic meters of rainwater storage tank to store it

An enhanced binary dragonfly algorithm based on a V-shaped transfer function for optimization of pump scheduling program in water supply systems (case study of Iran)

With the continual growth of population and shortage of energy resources, the optimal consumption of these resources is of particular importance. One of these energy sources is electricity, with a significant amount being used in pumping stations for water distribution systems (WDS). Determining the proper pumping schedule can make significant savings in energy consumption and particularly in costs. This study aims to present an improved population-based nature-inspired optimization algorithm for pumping scheduling program in WDS. To address this issue, the binary dragonfly algorithm based on a new transfer-function coupled with the EPANET hydraulic simulation model is developed to reduce the energy consumption of pumping stations. The proposed model was firstly implemented and evaluated on a benchmark test example, then on a real water pumping station. Comparison of the proposed method and the genetic algorithm (GA), evolutionary algorithm (EA), ant colony optimization (ACO), artificial bee colony (ABC), particle swarm optimization (PSO), and firefly (FF) was conducted on the benchmark test example, while the obtained results indicate that the proposed framework is more computationally efficient and reliable. The results of the real case study show that while considering all different constraints of the problem, the proposed model can decrease the cost of energy up to 27% in comparison with the current state of operation.publishe

Sustainable Water Resources Management in an Arid Area Using a Coupled Optimization-Simulation Modeling

Severe water scarcity in recent years has magnified the economic, social, and environmental significance of water stress globally, making optimal planning in water resources necessary for sustainable socio-economic development. One of the regions that is most affected by this is the Sistan region and its Hamoun wetland, located in south-east Iran. Water policies are essential to sustain current basin ecosystem services, maintaining a balance between conflicting demands from agriculture and the protection of wetland ecosystems. In the present study, a multi-objective optimization model is linked with the Water Evaluation and Planning (WEAP) software to optimize water allocation decisions over multiple years. We formulate and parameterize a multi-objective optimization problem where the net economic benefit from agriculture and the supply of environmental requirements were maximized, to analyze the trade-off between different stakeholders. This problem is modeled and solved for the study area with detailed agricultural, socio-economic, and environmental data for 30 years and quantification of ecosystem services. By plotting Pareto sets, we investigate the trade-offs between the two conflicting objectives and evaluate a possible compromise. The results are analyzed by comparing purely economic versus multi-objective scenarios on the Pareto front. Finally, the disadvantages and advantages of these scenarios are also qualitatively described to help the decision process for water resources managers.Water Resource