An integrated modeling framework for performing environmental assessments: Application to ecosystem services in the Albemarle-Pamlico basins (NC and VA, USA)

The U.S. Environmental Protection Agency uses environmental models to inform rulemaking and policy decisions at multiple spatial and temporal scales. As decision-making has moved towards integrated thinking and assessment (e.g. media, site, region, services), the increasing complexity and interdisciplinary nature of modern environmental problems has necessitated a new generation of integrated modeling technologies. Environmental modelers are now faced with the challenge of determining how data from manifold sources, types of process-based and empirical models, and hardware/software computing infrastructure can be reliably integrated and applied to protect human health and the environment.In this study, we demonstrate an Integrated Modeling Framework that allows us to predict the state of freshwater ecosystem services within and across the Albemarle-Pamlico Watershed, North Carolina and Virginia (USA). The Framework consists of three facilitating technologies: Data for Environmental Modeling automates the collection and standardization of input data; the Framework for Risk Assessment of Multimedia Environmental Systems manages the flow of information between linked models; and the Supercomputer for Model Uncertainty and Sensitivity Evaluation is a hardware and software parallel-computing interface with pre/post-processing analysis tools, including parameter estimation, uncertainty and sensitivity analysis. In this application, five environmental models are linked within the Framework to provide multimedia simulation capabilities: the Soil Water Assessment Tool predicts watershed runoff; the Watershed Mercury Model simulates mercury runoff and loading to streams; the Water quality Analysis and Simulation Program predicts water quality within the stream channel; the Habitat Suitability Index model predicts physicochemical habitat quality for individual fish species; and the Bioaccumulation and Aquatic System Simulator predicts fish growth and production, as well as exposure and bioaccumulation of toxic substances (e.g., mercury).Using this Framework, we present a baseline assessment of two freshwater ecosystem services-water quality and fisheries resources-in headwater streams throughout the Albemarle-Pamlico. A stratified random sample of 50 headwater streams is used to draw inferences about the target population of headwater streams across the region. Input data is developed for a twenty-year baseline simulation in each sampled stream using current land use and climate conditions. Monte Carlo sampling (n = 100 iterations per stream) is also used to demonstrate some of the Framework's experimental design and data analysis features. To evaluate model performance and accuracy, we compare initial (i.e., uncalibrated) model predictions (water temperature, dissolved oxygen, fish density, and methylmercury concentration within fish tissue) against empirical field data. Finally, we ‘roll-up’ the results from individual streams, to assess freshwater ecosystem services at the regional scale.     

Survey of nitrogen use pattern in rice in the irrigated rice-wheat cropping system of Haryana, India

Seeing the sustainability of rice-wheat cropping system (RWCS) of the Indo-Gangetic Plain, adequate crop nutrition in general and nitrogen (N) in particular holds the key to sound crop management. The excessive application or insufficient management of N means an economic loss to the farmer and may lead to yield penalties and environmental problems. Improving N management in consonance with other nutrients is much important to break yield plateaus as breeding for high yielding is not happening in recent years. Findings from farm survey are used to evaluate the on-farm N management practices in rice crop of the study area. The crop management practices (especially time of sowing/transplanting and irrigation requirement) and resource base of the farmers decided the N use pattern of the farmers. The N(Physical optimum) and N(economic optimum) exceeding the recommended levels revealed the apparent need for the revalidation of the existing recommendations. Paddy yield increased significantly within different rice types. This study generated comprehensive data on N use pattern in rice in the study area.     

Municipal wastewater-induced histopathological lesions in gills of freshwater fish Labeo rohita – A SEM study

The fingerlings of fish Labeo rohita were subjected to chronic (15, 30, and 60 days) and recovery (60 days) experiments for histopathological studies using sublethal concentrations (35.4%, 26.6%, and 17.7% v/v) of municipal wastewater of Tung Dhab drain, Amritsar, India. Control fish were maintained for same exposure periods using tap water. Scanning electron microscopic studies exhibited dose- and duration-dependent alterations on gill surface ultra-structure. Control fish exhibited functionally normal gills with normal mean degree of tissue change. Fifteen different types of lesions were identified out of which 9, 5, and 1 were of the stage I, II, and III, respectively. The mean degree of change values in the treated groups ranged from 14.8 ± 0.5 (17.7%, 15 days) to 116. ± 17 (35.4%, 60 days) demonstrated gill damages of slight to irreparable lesions. The recorded alterations were epithelial lifting and intraepithelial edema, reduction of water spaces, lamellar fusion, lamellar telangiectasia, swelling and fusion of filaments, sloughing of lamellar epithelium, hypertrophy and hyperplasia of mucous and chloride cells, and necrotic lamellae. The recovery experiments showed positive improvement as the intensity of damage was less than recorded for 60 days of treatment. This study clearly indicated toxicity of drain water to fish at cellular and organ level. The study recommends environmental agencies to make and enforce decisions regarding improvement of water quality of Tung Dhab drain, and further incorporating histopathological studies as an analytical tool.