Rainfall trend analysis has asupreme role for forecasting the rain events,which is very vital for tropics where the fluctuation in occurrence of rainfall is widespread.The local level rainfall trend analysis on the ot...Rainfall trend analysis has asupreme role for forecasting the rain events,which is very vital for tropics where the fluctuation in occurrence of rainfall is widespread.The local level rainfall trend analysis on the other side provides valuable information to cope up with the vehemence of global climate changes.The present study analyses the trend in the rainfall and number of rain days in a tropical town ship,Pattambi,located in the Bharathapuzha River basin of Kerala state of India.We used Man-Kendall rank correlation statistics to see the variations展开更多
As an outcome of globalization and liberalization of economic policies, exploration for and mining of minerals have become one of the recent lucrative trades in India. Due to stringent environment legislations, reclam...As an outcome of globalization and liberalization of economic policies, exploration for and mining of minerals have become one of the recent lucrative trades in India. Due to stringent environment legislations, reclamation and reforestation of the mined out sites have become obligatory. Information on distribution of nutrients before and after mining provides valuable insights while developing and executing the strategy for reclamation and revegetation of the mined out sites. Successful mine reclamation plan chiefly requires information on the soil characteristics in the area during its natural state. With this aim, investigations into spatial and temporal variations in soil nutrients and other physico-chemical parameters among three proposed bauxite mine locations near Araku valley, India were conducted. Soil samples were collected every three months for two years. At each location, samples from three sites in triplicates from four successive layers (0 - 5 cm, 5 - 10 cm, 10 - 15 cm and 15 - 20 cm depth) were collected. Concentrations of Total Organic Carbon (TOC), Total Nitrogen (TN), Total Available Phosphorous (TAP), Total Available Sulphur (TAS), C:N, C:P, and C:S decreased along the soil layers, while N:P increased. All the parameters studied varied significantly among months (GLM-ANOVA, P 0.05). Principal Component Analysis (PCA) done on the soil physico-chemical dataset showed first 5 components (Eigen Value > 1) explaining 87.3% of the total variance. Of these, the first component accounted for 21.0% and the second for 20.1% of the total variance. The principal components represented C:N/Soil N, C:P/Soil P/N:P, EC, Soil S/C:S and Soil C axes, respectively.展开更多
文摘Rainfall trend analysis has asupreme role for forecasting the rain events,which is very vital for tropics where the fluctuation in occurrence of rainfall is widespread.The local level rainfall trend analysis on the other side provides valuable information to cope up with the vehemence of global climate changes.The present study analyses the trend in the rainfall and number of rain days in a tropical town ship,Pattambi,located in the Bharathapuzha River basin of Kerala state of India.We used Man-Kendall rank correlation statistics to see the variations
文摘As an outcome of globalization and liberalization of economic policies, exploration for and mining of minerals have become one of the recent lucrative trades in India. Due to stringent environment legislations, reclamation and reforestation of the mined out sites have become obligatory. Information on distribution of nutrients before and after mining provides valuable insights while developing and executing the strategy for reclamation and revegetation of the mined out sites. Successful mine reclamation plan chiefly requires information on the soil characteristics in the area during its natural state. With this aim, investigations into spatial and temporal variations in soil nutrients and other physico-chemical parameters among three proposed bauxite mine locations near Araku valley, India were conducted. Soil samples were collected every three months for two years. At each location, samples from three sites in triplicates from four successive layers (0 - 5 cm, 5 - 10 cm, 10 - 15 cm and 15 - 20 cm depth) were collected. Concentrations of Total Organic Carbon (TOC), Total Nitrogen (TN), Total Available Phosphorous (TAP), Total Available Sulphur (TAS), C:N, C:P, and C:S decreased along the soil layers, while N:P increased. All the parameters studied varied significantly among months (GLM-ANOVA, P 0.05). Principal Component Analysis (PCA) done on the soil physico-chemical dataset showed first 5 components (Eigen Value > 1) explaining 87.3% of the total variance. Of these, the first component accounted for 21.0% and the second for 20.1% of the total variance. The principal components represented C:N/Soil N, C:P/Soil P/N:P, EC, Soil S/C:S and Soil C axes, respectively.
