This paper summarizes the results of an experimental study on influence external turbulence field bed load sediment transport in open channel. The was generated by (1) a horizontal pipe placed halfway through depth h; (2) series grids with clearance about one-third from bed, and extending over finite length flume; (3) range (0.1-1.0)h but entire flume. Two kinds experiments were conducted: plane-bed ripple-covered-bed experiments. In former case, flow presence generator adjusted so that mean...

Abstract A three-dimensional hydrodynamic-ecological lake model combined with field measurements and sampling was applied to investigate the impacts of floating photovoltaic (PV) systems on hydrodynamics water quality in a shallow tropical reservoir Singapore. The validated using data subsequently predict temperature changes for hypothetical 42 ha placement panels, covering about 30% surface capable generating up 50 MW energy. impact panel studied numerically. area where panels are placed...

Abstract Accurate prediction of pan evaporation (PE) is one the crucial factors in water resources management and planning agriculture. In this research, two hybrid models, self-adaptive time-frequency methodology, ensemble empirical mode decomposition (EEMD) coupled with support vector machine (EEMD-SVM) EEMD model tree (EEMD-MT), were employed to forecast monthly PE. The EEMD-SVM EEMD-MT compared single SVM MT models forecasting PE, measured between 1975 2008, at Siirt Diyarbakir stations...

Field-scale bioretention basin performance in treating a full suite of nutrients is critically evaluated the data-scarce tropics.

Abstract Accurate water level forecasts are essential for flood warning. This study adopts a data‐driven approach based on the adaptive network–based fuzzy inference system (ANFIS) to forecast daily levels of Lower Mekong River at Pakse, Lao People's Democratic Republic. ANFIS is hybrid combining and artificial neural networks. Five models were developed provide from 1 5 days ahead, respectively. The results show that although up three lead satisfied benchmark, four‐ five‐lead‐day only...

This paper presents the application of an improved particle swarm optimization (PSO) technique for training artificial neural network (ANN) to predict water levels Heshui Watershed, China. Daily values rainfall and from 1988 2000 were first analyzed using ANNs trained with conjugate gradient, gradient descent, Levenberg-Marquardt (LM-NN) algorithms. The best results obtained LM-NN, these then compared those PSO-based ANNs, including conventional PSO (CPSONN) (IPSONN) passive congregation....

AimsThe study goals were to determine the relationship between faecal indicator bacteria (FIB), HF183 marker and land use, phylogenetic diversity of sequences in a tropical urban watershed.

Water resources in Singapore are managed following the principles of a closed loop hydrologic cycle by one agency, Public Utility Board (PUB), which promotes its management philosophy through Four National Taps program.The four national taps are: water from local catchment areas; imported (from Malaysia); reused (known as NEWater); and desalinated water.Given uncertainty imports, remaining three have become increasingly important this paper begins with general overview innovative programs...

Abstract Surface water plays an important role in understanding the hydrological behaviour of a wetland and is crucial for sustainability ecosystems. Remote sensing increasingly used estimation surface levels larger inland waterbodies. However, there are few investigations that have employed multi-sourced remote data level predictions wetlands, which was motivation undertaking this study. Sentinel-2 Landsat-8 among latest satellites providing optical imagery with high spatial resolution...

Community‐based water supply (CBWS) is an example of how a community manages common pool resources (CPR). This results in alternative approach to solve problems developing countries by enhancing participation managing supply. research evaluates the sustainability five CBWS projects Cikarang, Indonesia using Ostrom's design principles, with additional factors found Sustainable Development Goal (SDG) on drinking and groundwater sustainability. Quinn et al . (2007) criteria were used analysis,...

Developing an efficient and accurate hydrologic forecasting model is crucial to managing water resources flooding issues. In this study, response surface (RS) models including multiple linear regression (MLR), quadratic (QRS), nonlinear (NRS) were applied daily runoff (e.g., discharge level) prediction. Two catchments, one in southeast China the other western Canada, used demonstrate applicability of proposed models. Their performances compared with artificial neural network (ANN) models,...