FLOOD SUSCEPTIBILITY MODELLING USING GEOSPATIAL-BASED MULTI-CRITERIA DECISION MAKING IN LARGE SCALE AREAS

Flood is one of the most hazardous natural disasters that cause damages and poses a major threat to human lives and infrastructures worldwide, and its prevention is almost unfeasible. Thus, the detection of flood susceptible areas can be a key to lessen the amount of destruction and mortality. This study aims to implement a framework to identify flood potential zones in an ungauged large-scale area with frequent flood events in recent years. We used two Multi-Criteria Decision Making (MCDM) approaches combined with geospatial analysis, and remote sensing observations for this susceptibility analysis. Nine geomorphological and environmental factors that have an impact on flood behaviour were selected and used for susceptibility modelling. At first, the criteria’s weights were estimated using two MCDM approaches and based on experts’ knowledge. The resultant weights revealed that Flow Accumulation, Topographic wetness index, and Distance to River were the most influential flood susceptibility criteria. After calculating these weights, the criteria’s layers were aggregated through geospatial analysis, which resulted in generating flood susceptibility map. The area under the curve (AUC) and statistical measures such as the Kappa index were used to evaluate the proposed method's efficiency. The validation results illustrate that hybrid FAHP, with AUC= 96.68 and Kappa = 81.36 performed more efficiently than standard AHP, with AUC= 94.53 and Kappa=76.35. Overlaying these maps with the historical flood inventory dataset revealed that 86.43% of flooded areas were categorized as “high” and “very high”. Therefore, the flood susceptibility maps generated through the proposed approach can help the decision-makers and managers allocate the mitigation equipment and facility in data-scarce and ungauged large-scale areas

Effect of copper sulphate on behavioral and histopathological changes in roach, Rutilus rutilus caspicus

The research was accomplished in order to study behavioral and histopathological effects of Copper on Rutilus rutilus caspicus under experimental condition. The study was performed using Water Static Method during 96 hours. 15 fish with averaged weight 2±0.5 g in weight were encountered to different concentrations (0, 0.1, 0.2, 0.3, 0.4 mg/l) of Copper. A group of fish was considered as control. Under stable condition and aeration, the lethal concentration was 0.4 mg/l. Results indicated that there was significant differences between treatments when copper concentration increased (p<0.05). It was found that in the high concentration of Copper nominal signs of toxicity such as convulsion, air gulping and flared operculum were observed. Histopathological sings were hyperplasia, edema, hyperemia, hemorrhage, expansion of Bowman’s capsule and hepatocytes necrosis. In control group no lesion was observed

Investigation of horizontal coherent structures in a shallow open-channel flow using velocity signal decomposition

River morphodynamics and sediment transportRiver morphology and morphodynamic

IDENTIFYING SUITABLE LOCATIONS FOR MANGROVE PLANTATION USING GEOSPATIAL INFORMATION SYSTEM AND REMOTE SENSING

Mangroves provide numerous environmental benefits, such as carbon sequestration, water purification, climate change mitigation, and flood and Tsunami impact reduction. Despite these unique advantages, mangroves are threatened by the combined adverse impacts of human activities and climate change. Therefore, it is essential to implement reasonable practices to avoid further degradation of mangroves and provide efficient workflows to increase their extent. Accordingly, better plantation policies are principally required for their conservation and rehabilitation. In this study, we desired to detect suitable locations for mangrove plantation in coastal areas of Hormozgan Province, Iran. We considered a relatively new Multi Criteria Decision Making (MCDM) technique to combine ten criteria derived from remote sensing in a GIS environment. The Best Worst Method (BWM), as an MDCM technique, was implemented to determine the relative importance of each criterion. Afterward, all criteria were aggregated using the Weighted Linear Combination (WLC) method to produce a mangrove plantation suitability map. Statistical measures, including Overall Accuracy (OA = 95%), Kappa Coefficient (KC = 87.9%), and Area Under Curve (AUC = 98.79%), indicated the high applicability of the implemented method for mangrove plantation site allocation. The produced map could give managers a profound insight into finding optimal spots to plant mangroves

The Role of Green Activity-Based Costing in Achieving Sustainability Development: Evidence From Iraq

Purpose: This study aimed to assess the effects of applying green activity-based costing (GABC) on the Sustainability Development of companies.   Theoretical framework: The theoretical framework included highlight on environmental issues, and the role of Modern methods of Cost and managerial accounting in reducing the harmful effects of industrial waste.   Design/methodology/approach: there are variety of reasons to carry out the study; including regulatory compliance, sustainable consumption, public perception, potential competitive advantages, and the impact of Sustainability Development on economic performance, stakeholders are urging or requiring organizations to be more ecologically conscious with regard to their products and operations. In order to accomplish the study's goals, it was implemented at the Basra Oil Refinery and based on actual data from the study sample's activity. method was relied upon distribution of costs based on green activity, the identification of its effects on the facility's Sustainability Development, and the creation of a model for the use of GABC.   Findings: According to the results of the experimental study, the study's findings that GABC may be used to assign expenditures based on green activity and to show how it affects both economic and Sustainability Development.   Research, Practical &amp; Social implications: Because all manufacturing and consumption activities have some sort of negative impact on the environment during the creation, use, and disposal phases of their respective value chains, environmental management issues have recently been linked to the economy.   Originality/value: The research value of our current study, by employ modern methods of commissioning accounting in Iraqi manufacturing companies

Anesthetic effect of tricaine methanesulfonate, clove oil and electroanesthesia on lysozyme activity of Oncorhynchus mykiss

There is a few available information about the effect of anesthetics, specially electroanesthesia on immune parameters in fish. In the present work, two anesthetics, MS222 (50 ppm), clove oil (25 ppm), and electroanesthesia were tested in rainbow trout (Oncorhynchus mykiss) in narcosis stage. The results showed, clove oil and electroanesthesia increase the lysozyme activity 24 h after anesthesia(p0.05). It seems use of MS222 during aquacultural practices may induce lesser effect in rainbow trout

Detecting Sticky Costs in Iraqi Industrial Companies an Empirical Study of a Sample of Iraqi Companies Registered on Iraq Stock Exchange

Purpose: This research aims to reveal the sticky costs in Iraqi joint stock companies.   Theoretical framework: Sticky costs refer to the costs that increase with the increase in revenues by a greater amount than their decrease in exchange for a similar decrease in revenues. To manage cost, it is important to understand and know the behavior of cost.   Design/methodology/approach: This research uses inductive and descriptive analytical methods that is commonly used in applied and field studies on accounting and management issues, as well as in literature and empirical studies to verify research proposals. This study adopted multiple logarithmic linear regression analysis estimated by ordinary least squares (OLS) to examine asymmetrical behavior of selling costs, general and administrative costs, and costs of goods sold individually and collectively (total costs) for a sample (101) of published lists of Iraqi joint stock companies registered in Iraqi Stock Exchange for the period 2010-2019.   Findings: The results showed that sticky behavior of selling and general and administrative costs and their components is a common phenomenon in cost behavior of Iraqi joint stock companies during the study period, while costs of goods sold, and total costs are not. The latter may have been showing anti-sticky behavior.   Research, Practical &amp; Social implications: Our work contrasts the conventional model of cost behaviour, in which costs move proportionately with changes in activity, with an alternative model, in which sticky costs emerge. This is because managers consciously shift the resources devoted to activities.   Originality/value: The sticky cost research that has been done in relation to the initial sticky cost research, particularly in industrialised nations like the UAS, Uk, and Canada, is the main emphasis of this study. Future research will take into account how sticky research is developing in any other nations, which could expand our understanding of sticky cost research as a whole

Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing

In recent times, orthogonal frequency-division multiplexing (OFDM)-based radar has gained wide acceptance given its applicability in joint radar-communication systems. However, realizing such a system on hardware poses a huge area and power bottleneck given its complexity. Therefore it has become ever-important to explore low-power OFDM-based radar processors in order to realize energy-efficient joint radar-communication systems targeting edge devices. This paper aims to address the aforementioned challenges by exploiting approximations on hardware for early design space exploration (DSE) of trade-offs between accuracy, area and power. We present Ellora, a DSE framework for incorporating approximations in an OFDM radar processing pipeline. Ellora uses pairs of approximate adders and multipliers to explore design points realizing energy-efficient radar processors. Particularly, we incorporate approximations into the block involving periodogram based estimation and report area, power and accuracy levels. Experimental results show that at an average accuracy loss of 0.063% in the positive SNR region, we save 22.9% of on-chip area and 26.2% of power. Towards achieving the area and power statistics, we design a fully parallel Inverse Fast Fourier Transform (IFFT) core which acts as a part of periodogram based estimation and approximate the addition and multiplication operations in it. The aforementioned results show that Ellora can be used in an integrated way with various other optimization methods for generating low-power and energy-efficient radar processors.Comment: Paper accepted at IEEE-LASCAS 202

Bulk-sensitive Photoemission of Mn5Si3

We have carried out a bulk-sensitive high-resolution photoemission experiment on Mn5Si3. The measurements are performed for both core level and valence band states. The Mn core level spectra are deconvoluted into two components corresponding to different crystallographic sites. The asymmetry of each component is of noticeable magnitude. In contrast, the Si 2p spectrum shows a simple Lorentzian shape with low asymmetry. The peaks of the valence band spectrum correspond well to the peak positions predicted by the former band calculation.Comment: To be published in: Solid State Communication