water quality assessment provides a scientific basis for water resources development and management. this case study proposes a factor analysis- hopfield neural network model (fhnn) based on factor analysis method and hopfield neural network method. the results showed that the factor analysis (fa) technique was introduced to identify important water quality parameters. results revealed that bio...

Quantitatively distinguishing grassland degradation due to climatic variations from that due to human activities is of great significance to effectively governing degraded grassland and realizing sustainable utilization. The objective of this study was to differentiate these two types of drivers in the Liao River Basin during 1999-2009 using the residual trend (RESTREND) method and to evaluate ...

This paper presents a quantitative chronology for the spread of rice, based on global Rice Chronology Database that builds upon direct datings archaeological rice remains. Bayesian and spatio-temporal modelling suggest eastern China (lower Yangzi, middle southern Huai River, Shandong) northeastern South Asia as two key origins cultivation, dating to ca. 7430 6460 BCE, respectively. At least epi...

The objectives of this study were to investigate the seasonal and spatial variations of heavy metal pollution in the overlying water and surface sediments of the Tiaozi River, a tributary of the Liao River, which is one of the seven major rivers and one of the most heavily-polluted rivers in China. Water and sediment samples were collected over four seasons, analyzed for heavy metals (Pb, Cu, N...

The occurrence and distribution of 19 antibiotics including ten sulfonamides, four quinolones, three tetracyclines and two macrolides in water, sediment, and biota samples from the Liao River Basin, China were investigated in the present study. The samples were collected in May 2012, and laboratory analyses revealed that antibiotics were widely distributed in the Liao River Basin. Macrolides ma...

Abstract Globally, river flooding induced by heavy rainfall frequently causes fatalities every year (Jongman et al. 2015; CERD and UNISDR 2018; CRED 2019). Particularly, will increase in the future with climate warming (Liao