201 research outputs found
Monthly macrophyte surveys of the CEH River Lambourn Observatory at Boxford
This study has resulted in the collection of a unique dataset of seasonal macrophyte growth over a six year period, encompassing extreme levels of flow both high and low. Although not analysed the results of the surveys are presented in this report. The data collected would enable subsequent investigation of the impact of weed cuts on the composition, density, cover and recovery time of these species and the relationship between macrophyte growth, hydraulic roughness, flow regimes and sediment transport/deposition
Use of hydraulic rating to set environmental flows in the Zhangxi River, China
Ningbo city, China, is a rapidly growing residential and industrial centre, with a current population of 4 million. Its development has required a major water supply expansion programme providing 400,000 m3 of water per day from the upper reaches of the Zhangxi River by means of a cascade of reservoirs. Water resources management is achieved through operation of two major reservoirs, Jiaokou (75 million m3) and Zhougongzhai (93 million m3). Water is released from the reservoirs, via turbines (generating hydropower), for local industry, irrigated agriculture and public supply along the lower reaches of the River and to maintain the river ecosystem. Surveys of local residents along the Zhangxi River showed its important role in aspects of life, social activity, culture and leisure. Analysis of ecological monitoring data demonstrated the diverse nature of fish, plants and invertebrates within the river. Some elements of the ecosystem have a high local economic value to local people. This paper reports an assessment of the environmental flow needed to support key species in the river ecosystem. It employs hydraulic ratings to define sections of the river where flow velocity reaches 0.5 ms-1, required to stimulate spawning of the moonlight fish, an economically important and indicator species in the river. In two out of 6 cross-sections studied, flow releases from the reservoirs meet the needs of fish. The reservoirs reduce flood flows, which may lead to a loss of deep pools that are essential for the fish to survive during winter month
Wetland hydrological monitoring: overview and Boxford Water Meadows case study
The aim of this report is to provide the reader with the information required to make informed decisions about the best and most appropriate way to monitor a wetland site.
To achieve this aim, the report has the following objectives:
1. To outline the need and purpose for monitoring.
2. To summarise the methods used to identify and categorise wetland types.
3. To describe the broad types of monitoring that may be undertaken.
4. To give detailed information about the range of wetland monitoring techniques available.
5. To provide guidance on how to select the most appropriate monitoring techniques.
6. To illustrate, using the Boxford wetland as a case study, how the techniques described in this report can be applied, and what challenges and solutions are encountered
Tolerance of faba bean, chickpea and lentil to salinity: accessions' salinity response functions
The productivity of crops irrigated with saline water or grown on salt-affected soils depends on the salt tolerance of the crops, their accessions, and various environmental and cultural conditions such as soil properties, climate and irrigation methods. The level and ability of plants to tolerate salt stress is the most critical information for the successful management of salt-affected agricultural lands and saline irrigation waters. In this paper, responses of three food legume crops (faba bean, chickpea and lentil) to salinity stress were analysed using the threshold-slope linear response function and modified discount function. The response functions are calibrated using the 2009–2010 season data and validated using the 2010–2011 season data from faba bean, chickpea and lentil experiments conducted in Raqqa, Syria. The comparison was also made through SALTMED model predictions. The results of this study show that the salinity response functions and productivity of grain yield are highly variable within the accessions of the same crop. For optimum outcome, practitioners need to consider salinity response functions and also the productivity of different accessions and their response to salinity in relation to the soil and available irrigation water salinity level
Evaluating the productivity potential of chickpea, lentil and faba bean under saline water irrigation systems
The information on salinity threshold levels for food legumes when irrigating with saline water is limited and old. In a multi-year study at two sites in the Euphrates Basin, we aimed at (i) evaluating the potential of saline water irrigation for chickpea, faba bean and lentil production; and (ii) using the SALTMED model to determine threshold crop yields based on irrigation water salinity in equilibrium with ambient soil solution salinity. To evaluate 15 accessions each of lentil and chickpea, and 11 accessions of faba bean, three irrigation treatments were used with salinity levels of 0.87, 2.50 and 3.78 dS m-1 at Hassake and 0.70, 3.0 and 5.0 dS m-1 at Raqqa. Aggregated grain yields showed significant differences (p < 0.05) among crop accessions. Calibration and validation of the SALTMED model revealed a close relationship between actual grain yields from the field sites and those predicted by the model. The 50% yield reduction (π50 value) in chickpea, lentil, and faba bean occurred at salinity levels of 4.2, 4.4 and 5.2 dS m-1, respectively. These results suggest that of the three food legume crops, faba bean can withstand relatively high levels of irrigation water salinity, followed by lentil and chickpea
Recent sightings of the Malabar Toad, Duttaphrynus hololius (Günther 1876), from Tamil Nadu, India
Natural history observations of the Scaly Gecko, Hemidactylus scabriceps (Annandale 1906), in India
Application of the Shiono and Knight Method in asymmetric compound channels with different side slopes of the internal wall
The Shiono and Knight Method (SKM) is widely used to predict the lateral distribution of depth-averaged velocity and boundary shear stress for flows in compound channels. Three calibrating coefficients need to be estimated for applying the SKM, namely eddy viscosity coefficient (λ), friction factor (f) and secondary flow coefficient (k). There are several tested methods which can satisfactorily be used to estimate λ, f. However, the calibration of secondary flow coefficients k to account for secondary flow effects correctly is still problematic. In this paper, the calibration of secondary flow coefficients is established by employing two approaches to estimate correct values of k for simulating asymmetric compound channel with different side slopes of the internal wall. The first approach is based on Abril and Knight (2004) who suggest fixed values for main channel and floodplain regions. In the second approach, the equations developed by Devi and Khatua (2017) that relate the variation of the secondary flow coefficients with the relative depth (β) and width ratio (α) are used. The results indicate that the calibration method developed by Devi and Khatua (2017) is a better choice for calibrating the secondary flow coefficients than using the first approach which assumes a fixed value of k for different flow depths. The results also indicate that the boundary condition based on the shear force continuity can successfully be used for simulating rectangular compound channels, while the continuity of depth-averaged velocity and its gradient is accepted boundary condition in simulations of trapezoidal compound channels. However, the SKM performance for predicting the boundary shear stress over the shear layer region may not be improved by only imposing the suitable calibrated values of secondary flow coefficients. This is because difficulties of modelling the complex interaction that develops between the flows in the main channel and on the floodplain in this region
Integrated management tool for water, crop, soil and N-fertilizers: the Saltmed model
Good management will be required to double food production by 2050. Testing management strategies is commonly carried
out in the field. Such trials are costly and require quite a long time to produce consistent and reliable results. An alternative option to field trials would be the use of tested models. Models can run with ‘what-if’ scenarios depicting different types of field management. They are a less costly and faster alternative to field trials.
In contrast to some existing models, the SALTMED 2013 model is designed for general applications that include various
irrigation systems and water application strategies, water of different qualities, variety of crops and trees, different nitrogen based fertilizers and different soil types. The model can simulate up to 20 fields with different treatments, different crops, different
irrigation systems and management as well as different N-fertilizer applications. The SALTMED model has been tested
using field experiment data from Portugal, Italy, Denmark, Morocco, Egypt, Syria, Brazil and Iran. It successfully simulated soil moisture, salinity, nitrogen content, grain yield and total dry matter.
The model provides academics, professionals and extension services with a management tool for crops, soil, water and nitrogen fertilizers. This paper describes the processes, the equations of the model and summarizes the different applications and results obtained
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