Groundwater quality characteristics and health risk assessment in the valley plain area of the western Qinghai-Tibet plateau.

Accurate evaluation of groundwater chemistry, quality, and human health risk could provide detailed and robust evidence of groundwater utilization. Gaer County is an important residential area in western Tibet. A total of 52 samples were collected from the Shiquan River Basin in Gaer County in 2021. Principal component analysis, ratiometric analysis of major ions, and geochemical modeling were conducted to clarify the characteristics of hydrogeochemical compositions and the controlling factors. The groundwater chemistry type is dominated by HCO3-Ca, and its ion concentration from high to low is Ca2+ > Na+ > Mg2+ > K+ and HCO3- > SO42- > Cl- > NO3- > F-. The groundwater compositions were determined by calcite and dolomite dissolution with cation exchange reaction. The human activity causes nitrate contamination, while arsenic contamination is attributed to surface water recharge. According to the Water Quality Index, 99% of the samples meet the requirements of drinking water. Groundwater quality is affected by the arsenic, fluoride, and nitrate concentrations. According to the human health risk assessment model, the cumulative noncarcinogenic risk (HITotal) values for children and the CR values of arsenic (CRArsenic) for adults are higher than 1 and 1E-6, respectively, which are unacceptable risk values. Therefore, appropriate remedial measures are recommended to reduce nitrate and arsenic concentrations in groundwater sources for protecting against further health risks. This study can provide theoretical support and effective groundwater management experience for ensuring groundwater safety in Gaer County and other similar regions around the world.

Review of Weed Detection Methods Based on Computer Vision.

Weeds are one of the most important factors affecting agricultural production. The waste and pollution of farmland ecological environment caused by full-coverage chemical herbicide spraying are becoming increasingly evident. With the continuous improvement in the agricultural production level, accurately distinguishing crops from weeds and achieving precise spraying only for weeds are important. However, precise spraying depends on accurately identifying and locating weeds and crops. In recent years, some scholars have used various computer vision methods to achieve this purpose. This review elaborates the two aspects of using traditional image-processing methods and deep learning-based methods to solve weed detection problems. It provides an overview of various methods for weed detection in recent years, analyzes the advantages and disadvantages of existing methods, and introduces several related plant leaves, weed datasets, and weeding machinery. Lastly, the problems and difficulties of the existing weed detection methods are analyzed, and the development trend of future research is prospected.

Effect of the loam inter-layer on the migration and breakthrough of benzene under constant flow in the unsaturated zone: column experiments.

The reliable prediction of transport and attenuation of dissolved-phase contamination in the unsaturated zone is a complex and multi-process problem. Based on the adsorption properties of soil samples to solutes, the soil column test and laboratory analysis were carried out in this study. The effects of the loam inter-layer on the migration and breakthrough of the characteristic pollutant benzene and non-absorbent Br- were studied. The results showed that the relatively high clay content of the inter-layer significantly changed the BTC (breakthrough curve). It not only delayed the migration time of benzene into the aquifer but also to some extent produced an attenuation effect, effectively reducing the content of the characteristic pollutants through the unsaturated zone. The dispersion coefficient was obtained through the measured Br-. The theoretical values were calculated and compared with the experimental data by using a one-dimensional unsaturated solute transport equation. The result was basically consistent, which proved the validity and reliability of the model. Through the BTC of benzene, the retardation factor was obtained and used to describe the influence of the loam inter-layer on the migration and breakthrough, which could provide the basis for the accurate modeling of groundwater remediation projects.