Global Impact of Non-essential Heavy Metal Contaminants in Industrial Cannabis Bioeconomy

The intrinsic signatures of Cannabis species to bioaccumulate non-essential harmful heavy metals (HMs) are substantially determined by their high tolerance, weedy propensities, phenotypic plasticity attributes, and pedoclimatic stress adaptation in an ecological niche. The detection trends of HMs contaminants in cannabis products have reshaped the 2027 forecast and beyond for global cannabis trade valued at $57 billion. Consumer base awareness for the cohort of HMs contaminants viz., lead (Pb), mercury (Hg), arsenic (As), chromium (Cr), cadmium (Cd), and radioactive elements, and the associative dissuading effects significantly impact cannabis bioeconomy. On the premise that fiber hemp (Cannabis sativa L.) could be repurposed to diverse non-consumable products, concerns over HMs contamination would not significantly decrease fiber trade, a trend that could impact globally by 2025. The economic trend will depend on acceptable consumer risk, regulatory instruments, and grower's due diligence to implement agronomic best practices to mitigate HMs contamination in marketable cannabis-related products. In this unstructured meta-analysis study based on published literature, the application of Cannabis species in HMs phytoremediation, new insights into transportation, distribution, homeostasis of HMs, the impact of HMs on medical cannabis, and cannabis bioeconomic are discussed. Furthermore, a blueprint of agronomic strategies to alleviate HMs uptake by plant is proposed. Considering that one-third of the global arable lands are contaminated with HMs, revamping global production of domesticated cannabis requires a rethinking of agronomic best practices and post-harvest technologies to remove HMs contaminants.

An overview of the remote sensing of precipitation with polarimetric radar

Recent advances in radar remote sensing of precipitation include the development of polarimetric radar, which has the capability of transmitting in both the horizontal ( H) and vertical ( V) polarization states, thus providing additional information on the target precipitation particles. Radar polarimetry has not only been proven to improve data quality and precipitation estimation, but also improves characterization of precipitation particles; thus it has great potential in weather monitoring and forecasting. Realizing the potential of this state-of-the-art technology, meteorological departments across the world are upgrading their radar networks to polarimetric capabilities. Commensurate with this new era in precipitation remote sensing, this article provides an overview of polarimetric radar measurements, emphasizing the intrinsic signatures and their association to precipitation particle shapes, sizes and distributions. The potential research and applications of polarimetric radar signatures in meteorology are discussed. A considerable number of recent peer reviewed journal articles dealing with the topic are included in the bibliography.