Linking Conservation and Development: An Analysis of Local People’s Attitude Towards Koshi Tappu Wildlife Reserve, Nepal

Factors influencing local people’s attitudes towards conservation of the Koshi Tappu Wildlife Reserve (KTWR) are analyzed using an ordered logit model. The results indicate that households living closer to the KTWR are more likely to reveal negative attitude towards conservation. Similarly, respondents from larger households tend to show negative conservation attitude. Educated respondents and farmers are likely to demonstrate a positive conservation attitude. The results consistently show that households with poor socioeconomic status and greater dependence on the KTWR for firewood, fodder, and raw materials are likely to possess a more negative attitude towards conservation. Poor households may not necessarily be less concerned about conservation, although institutional settings and abject poverty near protected areas appear to affect their attitudes. Sustainable management of protected areas and local support for natural resource conservation would require socioeconomic development.     

Assessing livelihood for improvement: Samanalawewa reservoir environs,Sri Lanka

This paper explores household (HH)-level livelihood dynamics and determinants since construction of the Samanalawewa Hydroelectricity Reservoir (SHER) in the Samanalawewa watershed, Sri Lanka. The research is based on data from a structured questionnaire survey of 201 randomly selected households (HHs) in upstream and downstream areas. Livelihood dynamics at two separate points in time (1988 and 2008) were assessed based on a sustainable livelihood framework (SLF). Impact of livelihood determinants on livelihood was analysed using factor and regression analysis techniques, followed by an optimisation procedure to suggest requirements in selected significant determinants to improve the livelihood of various categories of farm HH. In both upstream and downstream areas, livelihood assets, viz. physical, social and human capital, increased significantly, while access to natural and financial capital decreased significantly and slightly, respectively, during last two decades. The factor analysis extracted six factors in the upstream area and seven in the downstream area. The derived regression models show that nine variables in the upstream area and ten in the downstream area are major determinants of HH livelihood. Based on optimisation results, policy implications are discussed in relation to needed improvements in livelihood determinants to improve overall livelihood of HHs.     

Private micro-hydro power and associated investments in Nepal: the Barpak village case and broader issues

This article examines a number of issues connected with the development of small-scale hydroelectric power and related investments in Nepal. The micro-hydro investment scheme in Barpak village serves as a case study, and the article also presents a number of related issues discussed against the background of the evolution of micro-hydro power in Nepal. The article outlines the success of micro-hydro development, modest in relation to its enormous potential, the realization of which depends on whether a number of challenges and constraints can be overcome. The article closes with suggestions on implementing sustainable micro-hydro development in rural areas, based on the Barpak experience and the authors' other recent studies of rural energy issues in Nepal.     

Coastal Langmuir circulations induce phase-locked modulation of bathymetric stress

Environmental Fluid Mechanics - The ocean boundary layer (OBL) is forced by atmosphere-ocean and sea ice-ocean momentum fluxes, wave dynamics, and buoyancy; in coastal zones, OBL dynamics are...     

Statistical Modeling of Health Effects on Climate-Sensitive Variables and Assessment of Environmental Burden of Diseases Attributable to Climate Change in Nepal

An ecological time-series study is conducted to quantify health-effect coefficients associated with climate-sensitive variables namely temperature, rainfall, relative humidity, and wind speed and estimate environmental burden of diseases attributed to temperature as the main climatic variable together with climate change in Nepal. The study is based upon daily data of climate-sensitive variables and hospitalizations collected for 5 years between 2009 and 2014. Generalized linear model is used to estimate health-effect coefficients accounting distributed lag effects. Results show 3.08%, 10.14%, and 3.27% rise in water-borne, vector-borne, and renal disease hospitalizations, respectively, and 3.67% rise in water- and vector-borne disease deaths per 1 °C rise in average temperature. Similarly, 2.45% and 1.44% rise in heart disease hospitalization and all-cause mortality, respectively per 1 °C rise in absolute difference of average temperature with its overall average (20 °C). The computed attributable fractions are 0.3759, 0.6696, 0.2909, and 0.1024 for water-borne, vector-borne, renal, and heart disease hospitalizations, respectively, and 0.0607 and 0.4335 for all-cause mortality and disease-specific mortality of water- and vector-borne diseases, respectively. The percent change in attributable burdens due to climate change are found to be 4.32%, 4.64%, 7.20%, and ?2.29% for water-borne, vector-borne, renal, and heart disease hospitalizations, respectively, and ?1.39% and 6.55% for all-cause deaths and water-borne and vector-borne disease deaths, respectively. In conclusion, climate-sensitive variables have significant effects on many major health burdens in Nepal. In the context of changing climatic scenarios around the world including that of Nepal, such changes are bound to affect the health burden of Nepalese people.     

Aggregation of cohesive sediments induced by internal shear rates with application to sedimentation

An improved model for aggregation and deposition of cohesive sediments in flowing water was formulated as a power function of the sediment concentration and the hydrodynamic forces prevailing in the water column and at the surface of the sediment bed. The aggregation mechanism was described by a removal rate coefficient and an exponent, both of which were expressed as functions of the internal shear rate, which is one of the key parameters influencing particle collisions. Comparison of model predictions with two sets of experimental data showed that the model was capable of adequately representing cohesive sediment removal from the water column. The model formulation was also incorporated into a two-dimensional, vertically-averaged finite element model of sediment transport. The depositional behavior of cohesive sediments was verified by simulating a flume experiment.     

Application of deep neural network to capture groundwater potential zone in mountainous terrain,Nepal Himalaya

Environmental Science and Pollution Research - This study aims to capture groundwater potential zones integrating deep neural network and groundwater influencing factors. The present work was...     

Contribution of transboundary air pollution to ionic concentrations in fog in the Kinki Region of Japan

To estimate the contribution of transboundary transported air pollutants from other Asian countries to Japan in ionic concentrations in fog water in March 2005, the Community Multiscale Air Quality (CMAQ) modeling system was utilized with meteorological fields produced by the 5th generation Mesoscale Model (MM5). For meteorological predictions, the model well reproduced the surface meteorological variables, particularly temperature and humidity, and generally captured fog occurrence. For chemical predictions, most of the model-predicted monthly mean concentrations were approximately within a factor of 2 of the observations, indicating that the model well simulated the long-range atmospheric transport from the Asian Continent to Japan. For SO₄^2?, NO₃^? and NH₄⁺, the contribution rates of the transboundary air pollution in the Kinki Region of Japan ranged from 69 to 82% for aerosols, from 47 to 87% for ionic concentrations in rain, and from 55 to 79% for ionic concentrations in fog. The study found that the transboundary air pollution also affected ionic concentrations in fog as well as aerosol concentrations and ionic concentrations in rain.