Assessing the impact of farm dams on streamflows, Part II: Regional characterisation

Lowe, Lisa; Nathan, Rory; Morden, Robert

doi:10.1080/13241583.2005.11465260

Cited by 25 publications

(19 citation statements)

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“…First, the infiltration from the reservoir water dominates the groundwater discharge to the reservoir, as stated by the positive annual exchange term in the Kamech reservoir calculated using the water balance approach even when the errors in the estimated values ( Figures 6-8) were considered. Previous studies on reservoir hydrology in arid or semi-arid world regions have already shown that reservoir-subsurface exchanges dominated by infiltration can occur (Jayatilaka et al, 2003;Mugabe et al, 2003;Grünberger et al, 2004;Nasri et al, 2004;Li and Gowing, 2005;Lowe et al, 2005;Zammouri and Feki, 2005;Stiefel et al, 2009;Vervoort, 2010, 2011;Oblinger et al, 2010;Malveira et al, 2012). However, most of these studies were performed over short periods of a few weeks to a few months, corresponding to a temporal integrative estimation of the exchange flux.…”

Section: Discussionmentioning

confidence: 99%

A water balance approach for quantifying subsurface exchange fluxes and associated errors in hill reservoirs in semiarid regions

Bouteffeha

Dagès

Bouhlila

et al. 2014

Hydrological Processes

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Hill reservoirs are rain water‐harvesting structures that have been increasingly adopted in arid and semi‐arid regions, such as North Africa, to capture and conserve runoff water and for use as alternative water resources in agricultural development. Currently, process‐based information on reservoir hydrology is needed to improve reservoir management practices. The study aims to develop an approach to estimate the reservoir–subsurface exchange flux and its associated error at the annual, monthly, and intra‐monthly time scales to better understand the hydrological functioning and dynamics of hill reservoirs. This approach is based on a hydrological water balance of the hill reservoir by considering all water input and output fluxes and their associated errors. The results demonstrate the ability and relevance of the approach in estimating the net reservoir–subsurface exchange flux and its error estimations at various time scales. Its application on the Kamech catchment (Northern Tunisia) for the 2009–2012 period demonstrates that the net reservoir–subsurface exchange flux is positive, i.e. the infiltration from the hill reservoir to the aquifer dominates over the discharge from the aquifer to the reservoir. Moreover, reservoir–subsurface exchange constitutes the main output component in the water balance. Copyright © 2014 John Wiley & Sons, Ltd.

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Section: Discussionmentioning

confidence: 99%

A water balance approach for quantifying subsurface exchange fluxes and associated errors in hill reservoirs in semiarid regions

Bouteffeha

Dagès

Bouhlila

et al. 2014

Hydrological Processes

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“…Though this relationship was not shown in our data, we obtain a highly conservative estimate of state‐wide farm dam emissions using the Holgerson and Raymond () values for emission‐size decline and the following equation:

E = {false\sum}_{i}^{n} ε \times c_{i} \times t_{i}

where E is the mean CO 2 ‐e emissions from small agricultural dams per day (<0.01 km 2 ),

ε

represents the combined CO 2 and CH 4 emissions reported in this study (treated as size class <0.001 km 2 , expressed as CO 2 ‐e m 2 /day),

c_{i}

represents a correction value calculated from the variation in emissions between small natural freshwater ponds of size classes <0.001 km 2 and 0.001–0.01 km 2 as reported in Holgerson and Raymond (), and

t_{i}

represents the total state‐wide surface area of farm dams within size classes <0.001 km 2 and 0.001–0.01 km 2 , obtained from geographical information systems (GIS) data (Department of Environment, Land, Water and Planning ). The farm dam GIS data used here are a combination of high‐resolution aerial photography and satellite imagery (pixels <2.5 m) (Lowe et al., ), and at the smallest scales was distributed in abundance as follows: 3,319 dams in 100–75 m 2 , 2,260 dams in 75–50 m 2 , 1,015 dams in 50–25 m 2 and 170 dams <25 m 2 . Non‐adjusted annual state‐wide reservoir flux (ton CO 2 ‐per year) was calculated by applying the temperate reservoir CO 2 and CH 4 literature values in Table , to the total Victorian reservoir area obtained through GIS (482.5 km 2 , Digital Globe and Google Earth, Supporting Information Table S1).…”

Section: Methodsmentioning

confidence: 99%

Punching above their weight: Large release of greenhouse gases from small agricultural dams

Ollivier

Maher

Pitfield

et al. 2018

Global Change Biology

124

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Freshwater ecosystems play a major role in global carbon cycling through the breakdown of organic material and release of greenhouse gases (GHGs). Carbon dioxide (CO2) and methane (CH4) emissions from lakes, wetlands, reservoirs and small natural ponds have been well studied, however, the GHG emissions of highly abundant, small‐scale (<0.01 km2) agricultural dams (small stream and run‐off impoundments) are still unknown. Here, we measured the diffusive CO2 and CH4 flux of 77 small agricultural dams within south‐east Australia. The GHG emissions from these waterbodies, which are currently unaccounted for in GHG inventories, amounted to 11.12 ± 2.59 g CO2‐equivalent m2/day, a value 3.43 times higher than temperate reservoir emissions. Upscaling these results to the entire state of Victoria, Australia, resulted in a farm dam CO2‐equivalent/day emission rate of 4,853 tons, 3.1 times higher than state‐wide reservoir emissions in spite of farm dams covering only 0.94 times the comparative area. We also show that CO2 and CH4 emission rates were both significantly positively correlated with dissolved nitrate concentrations, and significantly higher in livestock rearing farm dams when compared to cropping farm dams. The results from this study demonstrate that small agricultural farm dams can be a major source of greenhouse gas emissions, thereby justifying their inclusion in global carbon budgets.

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“…It also relies on the assumption that reservoir connectivity may play a role in the cumulative impacts. The reservoir network is represented by classes of reservoirs determined following reservoir water capacity (Güntner et al, 2004;Nathan et al, 2005;Lowe et al, 2005)) and also reservoir drainage area (Zhang et al, 2012). Each class is represented as a single equivalent reservoir.…”

Section: Statistical Representationmentioning

confidence: 99%

The cumulative impacts of small reservoirs on hydrology: A review

Habets

Molénat

Carluer

et al. 2018

Science of The Total Environment

115

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The number of small reservoirs has increased due to their reduced cost, the availability of many favourable locations, and their easy access due to proximity. The cumulative impacts of such small reservoirs are not easy to estimate, even when solely considering hydrology, which is partially due to the difficulty in collecting data on the functioning of such reservoirs. However, there is evidence indicating that the cumulative impacts of such reservoirs are significant. The aim of this article is to present a review of the studies that address the cumulative impacts of small reservoirs on hydrology, focusing on the methodology and on the way in which these impacts are assessed. Most of the studies addressing the hydrological cumulative impacts focused on the annual stream discharge, with decreases ranging from 0.2% to 36% with a mean value of 13.4% ± 8% over approximately 30 references. However, it is shown that similar densities of small reservoirs can lead to different impacts on stream discharge in different regions. This result is probably due to the hydro-climatic conditions and makes defining simple indicators to provide a first guess of the cumulative impacts difficult. The impacts also vary in time, with a more intense reduction in the river discharge during the dry years than during the wet years. This finding is certainly an important point to take into consideration in the context of climate change. Two methods are mostly used to estimate cumulative impacts: i) exclusively data-based methods and ii) models. The assumptions, interests and shortcomings of these methods are presented. Scientific tracks are proposed to address the four main shortcomings, namely the estimation of the associated uncertainties, the lack of knowledge on reservoir characteristics and water abstraction and the accuracy of the impact indicators.

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Assessing the impact of farm dams on streamflows, Part II: Regional characterisation

Cited by 25 publications

References 0 publications

A water balance approach for quantifying subsurface exchange fluxes and associated errors in hill reservoirs in semiarid regions

A water balance approach for quantifying subsurface exchange fluxes and associated errors in hill reservoirs in semiarid regions

Punching above their weight: Large release of greenhouse gases from small agricultural dams

The cumulative impacts of small reservoirs on hydrology: A review

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