Arabian Journal of Geosciences

In order to solve the problem of poor pollution load reduction performance of traditional monitoring models, with the support of big data analysis technology, a water pollution monitoring model after flood disasters was constructed. Using big data analysis methods to obtain water pollution data after flood disasters, calculate the “best point,” “worst point,” and “expected point” data corresponding to each pollution index based on the collected data, and obtain the corresponding data of each pollution index material element analysis reference value, calculate the comprehensive correlation function value of the monitoring points, realize the optimization of monitoring points, and construct the monitoring model according to the basic equation of the model and the generalized result to realize the monitoring of water pollution information and water body conditions. The experimental results show that the load reduction rate of the designed model for different types of pollution is higher than 0.10%, which is significantly higher than that of the traditional model, indicating that the pollution load reduction performance of the designed model is better than that of the traditional model, and it is more suitable for water pollution monitoring after flood disaster.

Understanding the processes governing the groundwater chemistry in an area plays an important role in water management and conservation plans. The objective of this study was to assess the factors influencing the groundwater chemistry in Rabigh area along the western coast of Saudi Arabia. To ascertain the factors, hydrochemical data from 49 groundwater samples were analyzed and interpreted using graphical hydrochemical as well as geostatistical techniques. The most conspicuous feature of the groundwater samples was the high EC (average: 5973 μS/cm) and TDS (average: 3697.25 mg/l) values which showed a gradual decrease from the coast to inland areas. Based on interpretation of ionic relationships, Piper plot and extended Durov plot, it is concluded that natural processes such as saline water-fresh water mixing, evaporation, rock-water interaction, and base ion exchanges are the main processes which control the groundwater chemistry. The statistical technique of dimension reduction that is principal component analysis was used to reduce the large dataset to a small number of meaningful principal components (PCs). Five PCs were extracted based on the Eigenvalues which accounted 74.4% of the total data variability. Significant factor loadings of different parameters in each PC supported the findings from the graphical hydrochemical techniques (natural processes) except for PC2. PC2 which showed significant factor loading of K, NO3, and F points towards agricultural pollution in the study area.

Salinity is a critical abiotic stress which adversely affects crop productivity worldwide. A pot experiment was carried out to assess the response of acidulated cow dung (ACD) along with or without Bacillus sp. MN54 for promoting the growth and antioxidant activity of maize under normal and saline soil conditions. The experimental design consisted of salinity levels (ECe 1.5, 6, and 12 dS m−1) established via sodium chloride (NaCl) salt, along with endophytic strain MN54 and ACD addition (2.5%). Results showed that salinity negatively influenced the growth and yield of maize, but the combined application of organic input and bacterial strain Bacillus sp. MN54 significantly improved root and shoot fresh weight (73 and 69%), dry biomass (49 and 57%), physiological attributes (2 times increase) soil as compared to control soil. Similarly, higher (2 ×) uptake of NPK and maximum colonization of rhizosphere and root, shoot was observed through the combined application of ACD and Bacillus sp. MN54 relative to control. The findings of this study revealed that acidulated amendment along with endophyte MN54 reduced the oxidative stress and improved antioxidant enzymatic activity by plant-rhizosphere colonization, which could be an effective and sustainable approach for better growth, physiological, biochemical, and nutritional attributes, and yield characteristics of maize grown in saline conditions.

The 2D azimuthal resistivity imaging is a new technique used to determine the subsurface fracture characteristics in Dammam aquifer within and out of Abu-Jir fault zone, southwest of Karbala City, central Iraq. This technique was carried out by Wenner–Schlumberger array through 11 stations distributed within and out of Abu-Jir fault zone. Each 2D azimuthal station includes four 2D imaging lines in different directions (N-S, E-W, NE-SW, and NW-SE) with coverage equals to 45°. The 2D imaging line consisted of 60 electrodes at 10-m spacing. The 2D azimuthal results showed two types of fracture zones. The first is formed from cavities that developed from small fractures and fissures through a dissolution process of carbonate rocks. In some cases, this zone is found as horizontal canal near the Earth’s surface. While the second fracture zone formed by tectonic movements and that typically occurs as vertical and nearly vertical zones of fractures. These zones are characterized by increasing of resistivity values within Abu-Jir fault zone and decreasing out of it. In general, the fracture density of these zones is increased with the depth in SE, E, and NE directions within and out of Abu-Jir fault zone.

This article first splits the ecological environment information system and then conducts a detailed study on the application of the ecological environment information system based on big data technology. Then, this article begins with the analysis of the characteristics of big data, analyzes the development of big data in the environmental field at home and abroad, reveals the database of China’s soil environment big data development and the difficulties encountered in the development process, and discusses the soil environment big data system, construction method, and development content. According to the national big data development strategy and the industry needs in the field of soil environment, it is recommended to build a soil environment big data cloud platform, management platform, and theme application platform, so that they can be coordinated and managed across media within the region, and the current public products and services. Innovate. The accounting of state-owned assets management is not an independent system but needs to rely on the overall value of corporate assets. Otherwise, the true value of state-owned enterprises cannot be objectively and completely reflected. So far, China’s state-owned asset management has focused on asset management and evaluation based on financial reports. Regarding the overall asset value management of the enterprise, there is a deviation from the actual management in terms of concepts and accounting modes. Therefore, for a long time to come, there will still be certain difficulties in strengthening the overall asset management and evaluation of the management of state-owned enterprises. This article elaborates on the characteristics of urban soil sedimentation based on big data systems and puts forward suggestions and thoughts on the financial management of state-owned assets.

Tarim River is one of the most important water sources in western China, which experiences serious soil erosion. Desert plant roots of various species in the Tarim River Basin can effectively stabilize the slopes. In this study, a total of 28 soil samples were obtained including 17 samples of root-soil composites. The results of soil tests indicate that the cohesion of root-soil composites with values from 9.43 to 28.30 kPa is generally higher than that of no-root soils with values from 3.14 to 16.51 kPa. However, the roots have a minimal impact on the internal friction angle of soils. The results of single root tensile experiment indicate that the tensile strengths of root decrease with the increase of root diameter, while the tensile forces increase with it. Two models of the root and soil interaction were proposed based on the assumptions of roots rigid state and flexible state, which represent the increased maximum and minimum shear strengths, respectively. The calculated value of increased maximum and minimum shear strengths compared with the experimental results proved that the measured increased shear strengths were within the theoretical calculation range, which could provide a theoretical calculation method for evaluating the effects of desert plant roots on riverbank soil shear strength.