Your search found 12 records
1 Robertson, D. M. 2003. Influence of different temporal sampling strategies on estimating total phosphorus and suspended sediment concentration and transport in small streams. Journal of the American Water Resources Association, 39(5):1281-1308.
Water quality ; Monitoring ; Streams ; Sedimentary materials / USA / Wisconsin
(Location: IWMI-HQ Call no: PER Record No: H034888)

2 Petr, T. (Ed.) 1999. Fish and fisheries at higher altitudes: Asia. Rome, Italy: FAO. v, 304p. (FAO fisheries technical paper 385)
Fisheries ; Fish ; Flood plains ; Streams ; Rivers ; Reservoirs ; Lakes / Asia / Bhutan / Nepal / India / Pakistan / Afghanistan / Kazakhstan / Mongolia / China / Armenia / Altai / Northern Tien Shan / Lake Balkhash / River Chu / Pamir Lakes / Lake Sevan / Caucasus / Himalayan Rivers / Kashmir Valley / Kumaon Lakes / Gobindsagar Reservoir / Western Ghatts / North West Frontier Province / Baluchistan Province
(Location: IWMI-HQ Call no: 639.3 G570 PET Record No: H038137)

3 Hawkins, C. P. 2006. Quantifying biological integrity by taxonomic completeness: Its utility in regional and global assessment. Ecological Applications, 16(4):1277-1294.
Ecosystems ; Streams ; Invertebrates ; Indicators ; Monitoring ; Models / USA
(Location: IWMI-HQ Call no: P 7600 Record No: H039234)
https://vlibrary.iwmi.org/pdf/H039234.pdf

4 Stoddard, J. L.; Larsen, D. P.; Hawkins, C. P.; Johnson, R. K.; Norris, R. H. 2006. Setting expectations for the ecological condition of streams: The concept of reference condition. Ecological Applications, 16(4):1267-1276.
Freshwater ecology ; Streams
(Location: IWMI-HQ Call no: P 7601 Record No: H039235)
https://vlibrary.iwmi.org/pdf/H039235.pdf

5 De Zwart, D.; Dyer, S. D.; Posthuma, L.; Hawkins, C. P. 2006. Predictive models attribute effects on fish assemblages to toxicity and habitat alteration. Ecological Applications, 16(4):1295-1310.
Rivers ; Streams ; Fish ; Wastewater ; Risks ; Estimation ; Environmental management ; Models / USA
(Location: IWMI-HQ Call no: P 7604 Record No: H039239)
https://vlibrary.iwmi.org/pdf/H039239.pdf

6 Jayakody, Priyantha; Somaratne, Pallewatte G. 2006. Evolution of the anicut system: A case from Hulanda Oya Sub Catchment. In Water Resources Research in Sri Lanka: A Symposium. Proceedings of the Water Professional’s Day, held at the Postgraduate Institute of Agriculture (PGIA), University of Peradeniya, Peradeniya, Sri Lanka, 01 October 2006. pp.55-66.
Tanks ; River basins ; Streams ; Catchment areas ; Land ownership ; Land tenure ; Irrigated farming ; Rice / Sri Lanka / Hulanda Oya Sub Catchment / Walawe River Basin / Chandrikawewa
(Location: IWMI HQ Call no: IWMI 631.7 G744 JAY Record No: H039755)

7 Imholt, C.; Soulsby, C.; Malcolm, I. A.; Hrachowitz, M.; Gibbins, C. N.; Langan, S.; Tetzlaff, D. 2011. Influence of scale on thermal characteristics in a large Montane River Basin. River Research and Applications, 17p. (Online first). [doi: https://doi.org/10.1002/rra.1608]
River basins ; Streams ; Temperature ; Regression analysis ; Models ; GIS ; Monitoring ; Catchment areas ; Riparian zones ; Vegetation / UK / Scotland / River Dee Catchment
(Location: IWMI HQ Call no: e-copy only Record No: H044701)
https://vlibrary.iwmi.org/pdf/H044701.pdf
(4.69 MB)
This study monitored stream temperatures over two hydrological years at various nested scales within the large, unregulated river Dee catchment (North East Scotland). These scales were (i) the whole catchment (11 sites along main stem Dee); (ii) the tributary (single sites in main tributaries); (iii) the Girnock (five sites in one subcatchment); and (iv) the reach (26 points across single reach). The aim was to characterize the thermal regime of all locations and compare the magnitude of variation between each scale. The controls on this variation were assessed via a multiple linear regression model using Geographic Information System-derived catchment data. Temperatures were collected at 15-min resolution and for further analysis and discussion combined to daily means. At the catchment and subcatchment scales, a west to east gradient in mean and minimum temperatures was observed, largely paralleling changes in altitude. Temperature differences between subcatchments were generally greater than between the sites along the main stem of the Dee. Differences between tributaries reflected differences in their morphology and land use. However, some tributaries had similar thermal regimes, despite different catchment and riparian characteristics. Subcatchment differences in thermal regimes of one of the tributaries corresponded to riparian vegetation reduced diurnal variability in sections dominated by broadleaf woodland. Compared with the larger scales, reach differences in thermal regime were small (e.g. mean temperatures of riffle, pool and margin habitats were within 0.3C). The most noticeable difference was in relation to the point samples within the backwater area, which has a more constant thermal regime, most probably reflecting its groundwater source. The regression analysis indicated that monthly mean temperatures can be predicted well using elevation and catchment area. Forest cover was a significant explanatory variable during the summer months. However, some of the empirical temperature data from the Dee indicate that similar thermal regimes can result from different physical controls and processes that have important implications for the extrapolation of such predictive models.

8 Anarbekov, Oyture; Gaipnazarov, Norboy; Akramov, Isomiddin; Djumaboev, Kakhramon; Gafurov, Zafar; Solieva, Umida; Khodjaev, Shovkat; Eltazarov, Sarvarbek; Tashmatova, Mukhtabar. 2018. Overview of existing river basins in Uzbekistan and the selection of pilot basins. [Project Report of the Sustainable Management of Water Resources in Rural Areas in Uzbekistan. Component 1: National policy framework for water governance and integrated water resources management and supply part] Colombo, Sri Lanka: International Water Management Institute (IWMI) 89p. [doi: https://doi.org/10.5337/2018.203]
Integrated management ; Water resources ; Water management ; Water governance ; Water supply ; Water use ; International waters ; Sustainability ; Rural areas ; Climatic factors ; Meteorological factors ; Hydrometeorology ; Irrigation systems ; Irrigated land ; Land resources ; Land use ; River basin management ; Streams ; Pumps ; Assessment ; Population density ; Population growth ; Soil salinity ; Agricultural production / Uzbekistan
(Location: IWMI HQ Call no: e-copy only Record No: H048491)
http://centralasia.iwmi.cgiar.org/regional-content/central_asia/pdf/overview_of_existing_river_basins_in_uzbekistan_and_the_selection_of_pilot_basins.pdf
(6 MB)

9 Gafurov, Zafar; Eltazarov, Sarvarbek; Akramov, Bekzod; Djumaboev, Kakhramon; Anarbekov, Oyture; Solieva, Umida. 2018. Geodatabase and diagnostic atlas: Kashkadarya Province, Uzbekistan. Colombo, Sri Lanka: International Water Management Institute (IWMI). 74p. [doi: https://doi.org/10.5337/2018.217]
GIS ; Remote sensing ; River basins ; Digital technology ; Maps ; Simulation models ; Satellite imagery ; Urban population ; Urban areas ; Rural population ; Rural areas ; Population density ; Irrigation systems ; Irrigation water ; Water resources ; Water storage ; Water use efficiency ; Canals ; Drainage systems ; Pumps ; Lakes ; Reservoir storage ; Watersheds ; Streams ; Transportation ; Groundwater ; Soil types ; Vegetation ; Ecosystems ; Climate change ; Infrastructure / Uzbekistan / Kashkadarya Province
(Location: IWMI HQ Call no: e-copy only Record No: H048924)
http://centralasia.iwmi.cgiar.org/regional-content/central_asia/pdf/geodatabase_and_diagnostic_atlas-kashkadarya_province-uzbekistan.pdf
(6 MB)

10 Fyffe, C. L.; Brock, B. W.; Kirkbride, M. P.; Black, A. R.; Smiraglia, C.; Diolaiuti, G. 2019. The impact of supraglacial debris on proglacial runoff and water chemistry. Journal of Hydrology, 576:41-57. [doi: https://doi.org/10.1016/j.jhydrol.2019.06.023]
Glaciers ; Snow ; Meltwater ; Discharges ; Runoff ; Sediment ; Hydrology ; Hydrography ; Meteorological factors ; Mountains ; Lakes ; Ponds ; Streams ; Catchment areas / Europe / Miage Glacier
(Location: IWMI HQ Call no: e-copy only Record No: H049320)
https://www.sciencedirect.com/science/article/pii/S0022169419305694/pdfft?md5=a1156d40dae0d41bc6aa3d58ec5cc7d5&pid=1-s2.0-S0022169419305694-main.pdf
https://vlibrary.iwmi.org/pdf/H049320.pdf
(3.63 MB) (3.63 MB)
Debris is known to influence the ablation, topography and hydrological systems of glaciers. This paper determines for the first time how these influences impact on bulk water routing and the proglacial runoff signal, using analyses of supraglacial and proglacial water chemistry and proglacial discharge at Miage Glacier, Italian Alps. Debris does influence the supraglacial water chemistry, but the inefficient subglacial system beneath the debris-covered zone also plays a role in increasing the ion contribution to the proglacial stream. Daily hydrographs had a lower amplitude and later discharge peak compared to clean glaciers and fewer diurnal hydrographs were found compared to similar analysis for Haut Glacier d’Arolla. We attribute these observations to the attenuating effect of the debris on ablation, smaller input streams on the debris-covered area, a less efficient subglacial system, and possible leakage into a raised sediment bed beneath the glacier. Strongly diurnal hydrographs are constrained to periods with warmer than average conditions. ‘Average’ weather conditions result in a hydrograph with reverse asymmetry. Conductivity and discharge commonly show anti-clockwise hysteresis, suggesting the more dilute, rapidly-routed melt component from the mid-glacier peaks before the discharge peak, with components from higher up-glacier and the debris-covered areas arriving later at the proglacial stream. The results of this study could lead to a greater understanding of the hydrological structure of other debris-covered glaciers, with findings highlighting the need to include the influence of the debris cover within future models of debris-covered glacier runoff.

11 Stokstad, E. 2021. Streams that flow only part of the year are getting even drier. Science, 373(6556):724.
Rivers ; Streams ; Climate change ; Arid climate ; Dry conditions ; Water resources / USA
(Location: IWMI HQ Call no: e-copy only Record No: H050570)
https://vlibrary.iwmi.org/pdf/H050570.pdf
(0.68 MB)
Analysis of intermittent U.S. waterways finds many are shriveling earlier and remaining dry for much longer

12 Prajapati, R.; Overkamp, N. N.; Moesker, N.; Happee, K.; van Bentem, R.; Danegulu, A.; Manandhar, B.; Devkota, N.; Thapa, A. B.; Upadhyay, S.; Talchabhadel, R.; Thapa, B. R.; Malla, R.; Pandey, V. P.; Davids, J. C. 2021. Streams, sewage, and shallow groundwater: stream-aquifer interactions in the Kathmandu Valley, Nepal. Sustainable Water Resources Management, 7(5):72. [doi: https://doi.org/10.1007/s40899-021-00542-8]
Groundwater table ; Water levels ; Streams ; Sewage ; Aquifers ; Rivers ; Upstream ; Downstream ; Water quality ; Water management ; Surface water ; Monitoring / Nepal / Kathmandu Valley / Bishnumati River / Bagmati River / Dhobi Khola River
(Location: IWMI HQ Call no: e-copy only Record No: H050586)
https://link.springer.com/content/pdf/10.1007/s40899-021-00542-8.pdf
https://vlibrary.iwmi.org/pdf/H050586.pdf
(4.73 MB) (4.73 MB)
The Kathmandu Valley in Nepal is facing a water quantity and quality crisis due to rapid urbanization and haphazard water and wastewater planning and management. Annually, groundwater extractions in the Kathmandu Valley exceed capture, resulting in groundwater table declines. Streams are often important sources of recharge to (or destination of discharges from) aquifers. However, stream-aquifer interactions in the Kathmandu Valley are poorly understood. To improve this understanding, we performed topographic surveys of water levels, and measured water quality, in streams and adjacent hand-dug wells (shallow aquifer). In pre-monsoon, 12% (2018) and 44% (2019) of wells had water levels higher than adjacent streams, indicating mostly a loss of stream water to the aquifer. However, in post-monsoon, 69% (2018) and 70% (2019) of wells had water levels higher than adjacent streams, indicating that monsoon rainfall contributes to shallow aquifer recharge which, at least temporarily, causes streams to transition from losing to gaining. Concentrations of all water quality parameters (electrical conductivity, ammonia, alkalinity, and hardness) were higher in the pre-monsoon compared to post-monsoon in both streams and wells. There was no recurring trend in water level difference longitudinally from upstream to downstream. However, water quality in streams and wells depleted from upstream to downstream. While we clearly observed seasonal refilling of the shallow aquifer, the role of the deep aquifer in seasonal storage processes deserve future research attention.

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