Using biomass residues from oil palm industry as a raw material for pulp and paper industry: potential benefits and threat to the environment

Oil palm industries produce an enormous quantity of lignocellulosic biomass; in the form of large leaves of palm tree, pruned fronds (OPF) and oil palm trunks (OPT) at the plantations site. Besides this, the processing of fresh fruit bunches in the oil mills generates empty fruit bunches (EFB), shells, kernel cake and mesocarp fibers. The proper management of this burgeoning waste and its disposal is an ardent task and creates environmental hazards. In order to deal with the biomass residues, the urgent need is that it should be transformed into resources with industrial utility. As the economic development has resulted in the significant increased demand for paper, the industry is looking for eccentric sources to fulfill the requirement. The pulp and paper industry preferred use of coniferous and deciduous trees for papermaking because their cellulose fibers in the pulp make durable paper. With improvements in pulp processing technology, fibers of almost any non-wood of plants species like bamboo, cereal straw, sugarcane, flax, hemp and jute can be used for paper pulp. Substituting this lignocellulosic material can reduce the burden on forest while supporting the natural biodiversity. The present review deals with the possibilities of using oil palm biomass as a raw material for pulp and papermaking, as this would ameliorate its waste management problem. The potential of oil palm biomass and the challenges regarding its use in papermaking are discussed. The use of oil palm biomass will apparently prove that the oil palm industry is ecofriendly in every aspect of its activities and aid in sustainability of forest ecosystem.     

GIS‐Based Predictive Models of Hillslope Runoff Generation Processes1

Abstract: Successful nonpoint source pollution control using best management practice placement is a complex process that requires in‐depth knowledge of the locations of runoff source areas in a watershed. Currently, very few simulation tools are capable of identifying critical runoff source areas on hillslopes and those available are not directly applicable under all runoff conditions. In this paper, a comparison of two geographic information system (GIS)‐based approaches: a topographic index model and a likelihood indicator model is presented, in predicting likely locations of saturation excess and infiltration excess runoff source areas in a hillslope of the Savoy Experimental Watershed located in northwest Arkansas. Based on intensive data collected from a two‐year field study, the spatial distributions of hydrologic variables were processed using GIS software to develop the models. The likelihood indicator model was used to produce probability surfaces that indicated the likelihood of location of both saturation and infiltration excess runoff mechanisms on the hillslope. Overall accuracies of the likelihood indicator model predictions varied between 81 and 87% for the infiltration excess and saturation excess runoff locations respectively. On the basis of accuracy of prediction, the likelihood indicator models were found to be superior (accuracy 81‐87%) to the predications made by the topographic index model (accuracy 69.5%). By combining statistics with GIS, runoff source areas on a hillslope can be identified by incorporating easily determined hydrologic measurements (such as bulk density, porosity, slope, depth to bed rock, depth to water table) and could serve as a watershed management tool for identifying critical runoff source areas in locations where the topographic index or other similar methods do not provide reliable results.