Rtuffli: SIGNAL republish article metadata from draft 830

2026-06-26T14:49:06Z

SIGNAL republish article metadata from draft 830

← Older revision		Revision as of 14:49, 26 June 2026
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	<!-- SIGNAL_EARTH_PEOPLE_START -->		<!-- SIGNAL_EARTH_PEOPLE_START -->
	== Key Associated People ==		== Key Associated People ==
	* ~~None recorded~~		* '''Elise D. Hinman''' — U.S. Geological Survey [Source author; High]
			* '''Sara E. Breitmeyer''' — U.S. Geological Survey [Source author; High]

			Inclusion reflects material contribution to the scientific understanding of this damage signal; it does not imply review, endorsement, or affiliation with SIGNAL Earth.
	<!-- SIGNAL_EARTH_PEOPLE_END -->		<!-- SIGNAL_EARTH_PEOPLE_END -->

	<!-- SIGNAL_EARTH_SOURCES_START -->		<!-- SIGNAL_EARTH_SOURCES_START -->
	== Sources ==		== Sources ==
	* ~~None recorded~~		* [https://www.usgs.gov/data/riverine-surface-water-pesticide-concentrations-detection-frequencies-benchmark-exceedances Riverine Surface Water Pesticide Concentrations, Detection Frequencies, Benchmark Exceedances, and Trends for the Conterminous United States, 2013-2022] — U.S. Geological Survey Data Release, 2026. DOI: 10.5066/P1NDXVYD. [Dataset; Dataset; High]
			* [https://www.mda.state.mn.us/pesticide-fertilizer/surface-water-pesticide-water-quality-monitoring Surface Water Pesticide Water Quality Monitoring] — Minnesota Department of Agriculture Report, 2023. [Report; Agency Source; High]
	<!-- SIGNAL_EARTH_SOURCES_END -->		<!-- SIGNAL_EARTH_SOURCES_END -->

Rtuffli: SIGNAL publish from draft v830

2026-06-12T00:47:00Z

SIGNAL publish from draft v830

New page

{| class="wikitable" style="float:right; clear:right; margin:0 0 1em 1em; width:320px;"
|+ SIGNAL Earth Structured Data
|-
! Object type
| Damage Signal
|-
! SIGNAL Earth ID
| DS-00775
|-
! Observable type
| Pesticide runoff concentration
|-
! Unit
| unitless / index or declared physical unit (Provisional unit carried from Step 2 DS-to-OT cleanup review; requires later OT curation if source-specific units diverge.)
|-
! Temporal structure
| —
|-
! Monitoring backbone
| —
|}


refers to the measurable presence of pesticide compounds in surface water bodies resulting from agricultural and urban land use activities. These concentrations are indicators of chemical transport from application sites into aquatic environments, influencing water quality and ecosystem health. Monitoring pesticide runoff is critical for understanding the environmental fate of pesticides and assessing potential risks to aquatic organisms and human water supplies.

Surface waters receiving pesticide runoff include streams, rivers, lakes, and reservoirs, where concentrations can vary widely depending on pesticide use patterns, precipitation events, land management practices, and landscape characteristics. The phenomenon is relevant to environmental monitoring frameworks focused on water quality, chemical pollution, and ecosystem integrity.

Within the broader context of environmental contaminants, pesticide runoff concentration serves as a key indicator for evaluating the impact of agricultural chemicals on freshwater systems. It informs scientific assessments of contaminant transport, persistence, and bioavailability in aquatic environments.

== Geographic / System Context ==
Pesticide runoff concentration is not confined to a specific geographic region but is a global environmental concern wherever pesticides are applied in agricultural or urban settings. The phenomenon is observed in diverse hydrological systems ranging from small agricultural catchments to large river basins. Geographic factors such as soil type, topography, climate, and land use intensity influence the magnitude and variability of pesticide runoff. This signal is relevant across temperate, tropical, and arid regions where pesticide use occurs and surface waters are susceptible to chemical inputs.

== Monitoring and Measurement ==
Monitoring pesticide runoff concentration typically involves collecting water samples from surface water bodies during and following precipitation or irrigation events that generate runoff. Analytical methods include chromatographic techniques such as gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) to detect and quantify pesticide residues at trace levels. Institutions such as the U.S. Geological Survey ([https://en.wikipedia.org/wiki/United_States_Geological_Survey USGS]), Swiss Federal Institute of Aquatic Science and Technology (eawag), and Swiss Water Association (VSA) conduct long-term monitoring programs employing automated samplers and high-frequency sampling to capture temporal variability. Data collection protocols emphasize standardized sampling locations, timing relative to runoff events, and quality assurance to ensure comparability across sites and studies.

Within the SIGNAL system, this phenomenon is treated as a defined environmental signal whose boundaries and measurement conventions are described below.

== Signal Definition ==
{{SignalTerm|type=DS|id=DS-00775|label=Pesticide runoff concentration}} is defined as the concentration of pesticide compounds present in surface water runoff, expressed in unitless indices or declared physical units such as micrograms per liter (µg/L). It quantifies the amount of pesticide transported from terrestrial application sites into aquatic environments via surface runoff processes. The signal captures both the presence and magnitude of pesticide residues in water quality measurements collected during runoff events.

== Boundary Conditions ==
Boundary inclusions encompass all pesticide compounds detected in surface water runoff samples collected from natural or managed water bodies influenced by terrestrial runoff. This includes runoff generated from agricultural fields, urban landscapes, and other pesticide application areas. Boundary exclusions comprise pesticide residues present solely in groundwater, atmospheric deposition without runoff transport, or within soil matrices not mobilized into surface waters. The signal excludes pesticide concentrations measured outside runoff-related hydrological events or in water bodies unaffected by terrestrial pesticide application.

== Aggregation Semantics ==
Geographic aggregation of pesticide runoff concentration data is typically performed at watershed or catchment scales to reflect hydrological connectivity and land use influences. Temporal aggregation can range from event-based sampling to seasonal or annual summaries, depending on monitoring objectives and data availability. Cross-signal aggregation may involve integrating pesticide runoff concentration with related environmental signals such as pesticide application intensity, soil erosion rates, and ecotoxicity indices to provide comprehensive assessments of chemical loading and ecological impact. Aggregation methods prioritize consistency in spatial and temporal scales to support comparative analyses and trend detection.

== Observational Status ==
Current monitoring efforts provide extensive datasets on pesticide runoff concentrations across various regions, supported by established analytical methodologies and institutional programs. However, temporal resolution and spatial coverage vary, with ongoing advancements in high-frequency sampling and remote sensing technologies anticipated to enhance data quality and accessibility. Future SIGNAL releases aim to incorporate standardized temporal structures, improved causal position characterizations, and integration with complementary signals to facilitate holistic environmental assessments.

== Related Signals ==
* Biota toxic contaminant burden
* Drinking-water toxic contaminant concentration
* Extreme precipitation intensity
* Freshwater ecotoxicity burden index
* Groundwater toxic contaminant concentration
* Pesticide application intensity
* Soil erosion rate (water-driven)

== Key People ==
* U.S. Geological Survey (USGS)
* Swiss Federal Institute of Aquatic Science and Technology (eawag)
* Swiss Water Association (VSA)


== Key Associated People ==
* None recorded



== Sources ==
* None recorded

Pesticide runoff concentration - Revision history

Rtuffli: SIGNAL republish article metadata from draft 830

Rtuffli: SIGNAL publish from draft v830