Multifractal characterization of meteorological to agricultural drought propagation over India.

Agricultural drought affects the regional food security and thus understanding how meteorological drought propagates to agricultural drought is crucial. This study examines the temporal scaling trends of meteorological and agricultural drought data over 34 Indian meteorological sub-divisions from 1981 to 2020. A maximum Pearson's correlation coefficient (MPCC) derived between multiscale Standardised Precipitation Index (SPI) and monthly Standardised Soil Moisture Index (SSMI) time series was used to assess the seasonal as well as annual drought propagation time (DPT).

Exploring the last 50 years of Indian research on the impact of coal mining using bibliometric analysis with an overview of water-related impacts.

This paper throws light on the bibliometric review of the impact of coal mining in India over the past 50 years, emphasizing environmental, especially water-related impacts. The data were refined from the Web of Science database and analyzed in a bibliometric map visualization software tool, VOSviewer, to grasp the research focus, status quo and analyze the trend and direction of the work being carried out in this area. The methodology was covered in three phases: search and document selection, software and data extraction, and analysis of results and trends.

Metaldehyde prediction by integrating existing water industry datasets with the soil and water assessment tool.

Metaldehyde (a synthetic aldehyde pesticide used globally in agriculture) has been internationally identified as an emerging contaminant of concern. This study aimed to integrate existing water industry, publicly available and purchased licensed datasets with the open-access Soil and Water Assessment Tool (SWAT), to establish if these datasets could be used to effectively model metaldehyde in river catchments. To achieve the study aim, a SWAT model was developed and calibrated for the River Medway catchment (UK).