Effects of land use change on soil carbon and nitrogen in purple paddy soil.

Rural land use patterns in southern China centered on household grain crop production have observed significant changes in the past few decades, profoundly affecting the release and fixation of carbon and nitrogen in the paddy soil of the region. This study selected different land use patterns developed in purple paddy soil on a decadal time scale, examined the changing rate of soil carbon and nitrogen of the purple paddy soil after abandonment, dry-farming, and fish-farming, and revealed the impact of land use changes on the balance of soil carbon and nitrogen. Results showed that the loss rates of soil organic carbon, readily oxidizable organic carbon and total nitrogen at the initial stage of dry-farming were most considerable, followed by abandonment and fish-farming.

Irrigation suitability of White River in Indiana, Midwestern USA.

Climate change models consistently project future precipitation reduction and temperature increase during the crop growing season in the US Midwest, which may exacerbate surface water scarcity issues confronting regional agriculture. To maintain consistent crop yields under the risk of increased droughts, farmers may shift from rain-fed agriculture to irrigation agriculture, particularly during drought periods. There is an urgent need to understand whether surface water in the Midwest is suitable for irrigation.

Assessment of soil and groundwater contamination at a former Tannery district in Dhaka, Bangladesh.

The uncontrolled and unplanned development of leather processing industries in Bangladesh has contaminated land and water, prompting concerns for public health. Hazaribagh, located in the southwestern part of Dhaka, has been the city's principal leather processing zone since the 1960s. In order to alleviate the environmental contamination and public health risks to citizens of Hazaribagh and downstream, a relocation project was launched to remove the tanning industry.

Removal efficiency of commonly prescribed antibiotics via tertiary wastewater treatment.

Wastewater treatment plants (WWTPs) have been identified as "hot spots" of antibiotics release to the environment. Treatment operations at WWTPs may remove a significant proportion of antibiotics from influent wastewater; however, the effects of tertiary treatment processes on antibiotics removal are not well understood. The objective of this review is to summarize the current literature regarding antibiotics removal from common tertiary processes at full-scale municipal WWTPs and to reveal the research gaps and inform future research directions.

A machine learning approach to estimation of downward solar radiation from satellite-derived data products: An application over a semi-arid ecosystem in the U.S.

Shortwave solar radiation is an important component of the surface energy balance and provides the principal source of energy for terrestrial ecosystems. This paper presents a machine learning approach in the form of a random forest (RF) model for estimating daily downward solar radiation flux at the land surface over complex terrain using MODIS (MODerate Resolution Imaging Spectroradiometer) remote sensing data. The model-building technique makes use of a unique network of 16 solar flux measurements in the semi-arid Reynolds Creek Experimental Watershed and Critical Zone Observatory, in southwest Idaho, USA.