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Soil contamination and carrying capacity across the Tibetan plateau using structural equation models

Environmental Pollution 2023 11 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Lei Chai, Yunqiao Zhou, Huike Dong, Ping Gong, Xiaoping Wang

Summary

This paper is not relevant to microplastics research — it assesses soil contamination levels and soil environmental carrying capacity across the Tibetan Plateau, focusing on heavy metals and nutrient conditions.

Soil contamination is a major environmental issue worldwide. Compared with Arctic, European Alps and Rocky Mountains, the soil contamination and soil environment carrying capacity (SECC) of the Tibetan Plateau (TP) is not systematic and multidimensional. In this study, the levels, influencing factors including climate factors [(i.e., mean annual precipitation (MAP) and mean annual temperature (MAT)], socio-economic factors [(i.e., population, population density and gross domestic product (GDP)], vegetation coverage factor, soil factors [(i.e., pH, soil organic carbon (SOC), total phosphorus and total nitrogen] and topographic factors [(i.e., longitude, latitude and digital elevation model (DEM)] and carrying capacity of multiple soil contaminants [persistent organic pollutants (POPs), heavy metals (HMs) and microplastics (MPs)] was systematically studied. Results show that the spatial distribution of POPs in the eastern was higher than that in the western region, and the structural equation model (SEM) demonstrate that SOC and MAT were the key factors influencing distribution. Regarding HMs, except As, moderate and heavy pollution of the remaining elements were found in the northern and eastern TP regions, and pH and MAP were the main influencing factors. The MPs showed that the distribution of the patches was influenced by GDP and MAP. Furthermore, a higher SECC in the eastern region that gradually decreased from east to west. pH is the primary factors affecting SECC, followed by normalized difference vegetation index (NDVI). An increase of pH and NDVI by one unit is likely to make SECC scores decrease by 0.8 and increase by 0.32, respectively. Taken together, these studies provide a system, cost-effective, and quantitative framework for soil contamination and carrying capacity in the TP.

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