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	<title>Hydrology Archives - Aquatic Informatics</title>
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	<title>Hydrology Archives - Aquatic Informatics</title>
	<link>https://aquaticinformatics.com/blog/category/hydrology/</link>
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	<item>
		<title>The Fracking Truth About Hydraulic Fracturing</title>
		<link>https://aquaticinformatics.com/blog/hydrology/fracking-hydraulic-fracturing/</link>
					<comments>https://aquaticinformatics.com/blog/hydrology/fracking-hydraulic-fracturing/#respond</comments>
		
		<dc:creator><![CDATA[Stu Hamilton]]></dc:creator>
		<pubDate>Tue, 07 Jan 2014 21:13:28 +0000</pubDate>
				<category><![CDATA[Hydrology]]></category>
		<category><![CDATA[Fracking]]></category>
		<category><![CDATA[Hydraulic Fracturing]]></category>
		<category><![CDATA[hydrometry]]></category>
		<category><![CDATA[rating curve]]></category>
		<category><![CDATA[water data management]]></category>
		<guid isPermaLink="false">http://www.aquaticinformatics.com/blog/?p=1904</guid>

					<description><![CDATA[<p>Read about differing opinions about the hydraulic fracturing "fracking" technique used for shale gas extraction.</p>
<p>Continue reading <a href="https://aquaticinformatics.com/blog/hydrology/fracking-hydraulic-fracturing/">The Fracking Truth About Hydraulic Fracturing</a></p>
]]></description>
		
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			</item>
		<item>
		<title>The Other Extreme : the Measurement of Water Flow</title>
		<link>https://aquaticinformatics.com/blog/hydrology/hydrological-extreme-measurement-of-nothing/</link>
					<comments>https://aquaticinformatics.com/blog/hydrology/hydrological-extreme-measurement-of-nothing/#respond</comments>
		
		<dc:creator><![CDATA[Stu Hamilton]]></dc:creator>
		<pubDate>Thu, 03 Apr 2014 01:47:13 +0000</pubDate>
				<category><![CDATA[Hydrology]]></category>
		<category><![CDATA[discharge time series]]></category>
		<category><![CDATA[Emily Huxter]]></category>
		<category><![CDATA[extreme]]></category>
		<category><![CDATA[Water data management software]]></category>
		<category><![CDATA[water monitoring]]></category>
		<guid isPermaLink="false">http://www.aquaticinformatics.com/blog/?p=2074</guid>

					<description><![CDATA[<p>Most conversations about extreme measurements focus on flood flow. However, I recently had a conversation with Emily Huxter about her&#8230;</p>
<p>Continue reading <a href="https://aquaticinformatics.com/blog/hydrology/hydrological-extreme-measurement-of-nothing/">The Other Extreme : the Measurement of Water Flow</a></p>
]]></description>
		
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			</item>
		<item>
		<title>A Hydrologist’s Holiday</title>
		<link>https://aquaticinformatics.com/blog/hydrology/hydrologist-holiday/</link>
					<comments>https://aquaticinformatics.com/blog/hydrology/hydrologist-holiday/#respond</comments>
		
		<dc:creator><![CDATA[Stu Hamilton]]></dc:creator>
		<pubDate>Thu, 07 Aug 2014 20:04:26 +0000</pubDate>
				<category><![CDATA[Hydrology]]></category>
		<category><![CDATA[Bow Glacier]]></category>
		<category><![CDATA[glacial meltwater]]></category>
		<category><![CDATA[Hydrologist]]></category>
		<category><![CDATA[Hydropower]]></category>
		<category><![CDATA[Nelson River Hydroelectric Project]]></category>
		<guid isPermaLink="false">https://aquaticinformatics.com/blog/?p=2260</guid>

					<description><![CDATA[<p>A 3-day hike in July on the Wapta Icefield in the Canadian Rockies with my son took us up the Bow Glacier, briefly onto the Yoho Glacier and then down the Peyto Glacier. Bow Glacier meltwater flows into the South Saskatchewan River (146,100 km2). Yoho Glacier meltwater flows into the Columbia River (668,000 km2). Peyto Glacier meltwater flows in the North Saskatchewan River (122,800 km2).</p>
<p>Continue reading <a href="https://aquaticinformatics.com/blog/hydrology/hydrologist-holiday/">A Hydrologist’s Holiday</a></p>
]]></description>
		
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			</item>
		<item>
		<title>The Weaponization of Water Data</title>
		<link>https://aquaticinformatics.com/blog/hydrology/water-data-weaponization/</link>
					<comments>https://aquaticinformatics.com/blog/hydrology/water-data-weaponization/#respond</comments>
		
		<dc:creator><![CDATA[Stu Hamilton]]></dc:creator>
		<pubDate>Wed, 19 Nov 2014 08:00:01 +0000</pubDate>
				<category><![CDATA[Hydrology]]></category>
		<category><![CDATA[hydrometry]]></category>
		<category><![CDATA[modelling]]></category>
		<category><![CDATA[streamflow]]></category>
		<category><![CDATA[water monitoring]]></category>
		<category><![CDATA[water quality data]]></category>
		<guid isPermaLink="false">https://aquaticinformatics.com/blog/?p=2434</guid>

					<description><![CDATA[<p>Every change in the expected pattern of variability of water supply and quality poses a threat to the security of the water, food and energy we are dependent on for quality of life. Up until the very recent past conversations about the role of water data tended to be about development of, and management of, our water resources in a way that served environmental sustainability. Water data give us the means to identify the right balance between human and in-stream requirements and the evidence to ensure that such balance is respected.</p>
<p>Continue reading <a href="https://aquaticinformatics.com/blog/hydrology/water-data-weaponization/">The Weaponization of Water Data</a></p>
]]></description>
		
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			</item>
		<item>
		<title>How to Get Better Flow Measurements Using the Rising Bubble Method</title>
		<link>https://aquaticinformatics.com/blog/hydrology/better-flow-measurement-rising-bubble-method/</link>
					<comments>https://aquaticinformatics.com/blog/hydrology/better-flow-measurement-rising-bubble-method/#respond</comments>
		
		<dc:creator><![CDATA[Stu Hamilton]]></dc:creator>
		<pubDate>Tue, 26 Jan 2016 19:57:03 +0000</pubDate>
				<category><![CDATA[Hydrology]]></category>
		<category><![CDATA[Flow Measurement]]></category>
		<category><![CDATA[Future of Hydrology]]></category>
		<category><![CDATA[Hawkes Bay Regional Council]]></category>
		<category><![CDATA[National Institute of Water and Atmospheric Research]]></category>
		<category><![CDATA[Rising Bubble Method]]></category>
		<category><![CDATA[streamflow measurement]]></category>
		<guid isPermaLink="false">https://aquaticinformatics.com/?p=9587</guid>

					<description><![CDATA[<p>One objective of the Hydrology Corner is to provide a forum where hydrometric problems can be discussed and clever solutions to those problems can be shared. The stream gaugers vs. beavers post is a good example of a discussion of a difficult problem.  Not only have several people posted on the blog but the post also resulted in an email exchange with Jeff Watson from Horizons Regional Council who realized that New Zealand may have a solution to a North American problem.</p>
<p>Continue reading <a href="https://aquaticinformatics.com/blog/hydrology/better-flow-measurement-rising-bubble-method/">How to Get Better Flow Measurements Using the Rising Bubble Method</a></p>
]]></description>
		
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			</item>
		<item>
		<title>Data Rounding and Why You Should Care</title>
		<link>https://aquaticinformatics.com/blog/hydrology/data-rounding-care/</link>
					<comments>https://aquaticinformatics.com/blog/hydrology/data-rounding-care/#respond</comments>
		
		<dc:creator><![CDATA[Stu Hamilton]]></dc:creator>
		<pubDate>Wed, 09 Mar 2016 19:34:31 +0000</pubDate>
				<category><![CDATA[Hydrology]]></category>
		<category><![CDATA[data rounding]]></category>
		<guid isPermaLink="false">https://aquaticinformatics.com/?p=9861</guid>

					<description><![CDATA[<p>To understand why modern data management systems store data to double precision we must consider the distinction between storing and reporting of data.</p>
<p>Continue reading <a href="https://aquaticinformatics.com/blog/hydrology/data-rounding-care/">Data Rounding and Why You Should Care</a></p>
]]></description>
		
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			</item>
		<item>
		<title>Extreme Gauging – How to Extend Rating Curves With Confidence</title>
		<link>https://aquaticinformatics.com/blog/hydrology/extreme-gauging-accurate-stage-discharge-rating-curve/</link>
					<comments>https://aquaticinformatics.com/blog/hydrology/extreme-gauging-accurate-stage-discharge-rating-curve/#respond</comments>
		
		<dc:creator><![CDATA[Stu Hamilton]]></dc:creator>
		<pubDate>Tue, 24 May 2016 23:06:36 +0000</pubDate>
				<category><![CDATA[Hydrology]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Drones]]></category>
		<category><![CDATA[extreme]]></category>
		<category><![CDATA[extreme gauging]]></category>
		<category><![CDATA[high flow]]></category>
		<category><![CDATA[hydrometric standard operating procedures]]></category>
		<category><![CDATA[IRSTEA]]></category>
		<category><![CDATA[LSPIV]]></category>
		<category><![CDATA[NZHS]]></category>
		<category><![CDATA[rating curve]]></category>
		<guid isPermaLink="false">https://aquaticinformatics.com/?p=10349</guid>

					<description><![CDATA[<p>Extreme flows are extremely hard to gauge, hence we get very few gaugings to accurately define the top-end of stage-discharge rating curves. This is a problem. Whereas empirically calibrated functional relationships can be trustworthy for the purpose of interpolation, they can be notoriously unreliable for extrapolation. One needs to be very careful about extrapolating any rating curve to an ungauged extreme.</p>
<p>Continue reading <a href="https://aquaticinformatics.com/blog/hydrology/extreme-gauging-accurate-stage-discharge-rating-curve/">Extreme Gauging – How to Extend Rating Curves With Confidence</a></p>
]]></description>
		
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			</item>
		<item>
		<title>Drones – Providing a New Perspective on Hydrometry</title>
		<link>https://aquaticinformatics.com/blog/hydrology/drones-providing-new-perspective-hydrometry/</link>
					<comments>https://aquaticinformatics.com/blog/hydrology/drones-providing-new-perspective-hydrometry/#respond</comments>
		
		<dc:creator><![CDATA[Stu Hamilton]]></dc:creator>
		<pubDate>Tue, 31 May 2016 20:43:42 +0000</pubDate>
				<category><![CDATA[Hydrology]]></category>
		<category><![CDATA[Drones]]></category>
		<category><![CDATA[extreme]]></category>
		<category><![CDATA[extreme flow gaugings]]></category>
		<category><![CDATA[Future of Hydrology]]></category>
		<category><![CDATA[future of hydrometry]]></category>
		<category><![CDATA[LiDAR]]></category>
		<category><![CDATA[LSPIV]]></category>
		<category><![CDATA[rating curve]]></category>
		<category><![CDATA[surface velocity measurements]]></category>
		<guid isPermaLink="false">https://aquaticinformatics.com/?p=10423</guid>

					<description><![CDATA[<p>Unmanned Aerial Vehicles (UAV) also known as drones, can be used for Large-Scale Particle Image Velocimetry to provide cross-sectional hydrometry info.</p>
<p>Continue reading <a href="https://aquaticinformatics.com/blog/hydrology/drones-providing-new-perspective-hydrometry/">Drones – Providing a New Perspective on Hydrometry</a></p>
]]></description>
		
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			</item>
		<item>
		<title>Stage-Discharge Rating Curves – Geophysics or Religion?</title>
		<link>https://aquaticinformatics.com/blog/hydrology/stage-discharge-rating-curves-geophysics-religion/</link>
					<comments>https://aquaticinformatics.com/blog/hydrology/stage-discharge-rating-curves-geophysics-religion/#respond</comments>
		
		<dc:creator><![CDATA[Stu Hamilton]]></dc:creator>
		<pubDate>Tue, 05 Jul 2016 07:05:48 +0000</pubDate>
				<category><![CDATA[Hydrology]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[hydrological science]]></category>
		<category><![CDATA[rating curve]]></category>
		<category><![CDATA[Stage-Discharge Rating Curves]]></category>
		<category><![CDATA[water monitoring]]></category>
		<guid isPermaLink="false">https://aquaticinformatics.com/?p=10639</guid>

					<description><![CDATA[<p>Almost everything we know about our global freshwater resources is due to the humble stage-discharge rating curve. The vast majority of all flow data ever produced is the derived result of a transform from a variable that is easy to monitor continuously (stage) to a variable that is impossible to directly measure continuously (discharge). This means we are dependent on rating curves for advancements in hydrological science; for flood forecasting; for drought management; for engineering designs that provide us with physical safety, transportation, water supply and waste disposal; for water management policies and decisions that ensure energy and food security.</p>
<p>Continue reading <a href="https://aquaticinformatics.com/blog/hydrology/stage-discharge-rating-curves-geophysics-religion/">Stage-Discharge Rating Curves – Geophysics or Religion?</a></p>
]]></description>
		
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			</item>
		<item>
		<title>Messy Rivers are Healthy Rivers</title>
		<link>https://aquaticinformatics.com/blog/hydrology/messy-rivers-healthy-rivers/</link>
					<comments>https://aquaticinformatics.com/blog/hydrology/messy-rivers-healthy-rivers/#respond</comments>
		
		<dc:creator><![CDATA[Stu Hamilton]]></dc:creator>
		<pubDate>Mon, 08 Aug 2016 18:59:47 +0000</pubDate>
				<category><![CDATA[Hydrology]]></category>
		<category><![CDATA[Beaver]]></category>
		<category><![CDATA[Funding]]></category>
		<category><![CDATA[mosquito]]></category>
		<category><![CDATA[Riverflow]]></category>
		<category><![CDATA[Stream Gauging]]></category>
		<guid isPermaLink="false">https://aquaticinformatics.com/?p=10802</guid>

					<description><![CDATA[<p>Dr. Ellen Wohl provoked the audience to give thought to how we evaluate river health in her keynote address to the Riverflow 2016 Conference in St. Louis Missouri. Mindfulness of one’s own motivations and openness to a broader perspective is a good starting place for this discussion. Whereas a concrete-lined drainage ditch is highly functional in one world-view, a poorly drained swamp can be highly functional in a different world view. In order to understand rivers we need to be self-aware of our place in the natural order of things.</p>
<p>Continue reading <a href="https://aquaticinformatics.com/blog/hydrology/messy-rivers-healthy-rivers/">Messy Rivers are Healthy Rivers</a></p>
]]></description>
		
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