HABBY - en:manuel_reference:modeles_stat

field_protocol

Anonymous (anonymous@undisclosed.example.com) — 2024-06-05T14:08:10+00:00

Proposed field protocol General principle At each of the two measurement discharges Q1 and Q2 (see above concerning the choice and measurement of these flow rates), the objective is to measure approximately 100 local depths and >15 wetted widths distributed regularly in the reach, in order to estimate the average of these variables. The particle size distribution must also be estimated at one of the two flow rates.

fondamental_stat_habby

Anonymous (anonymous@undisclosed.example.com) — 2024-06-05T12:31:14+00:00

Basic concept Generalities All hydraulic habitat models contribute to the definition of “e-flows” (environmental flows), seen as compromises between water uses and the ecological status of rivers. The use of habitat models fits into a global approach that takes into account the hydrological, environmental, biological and socio-economic context. The implementation and interpretation of habitat models is not immediate and requires expertise. The place of habitat models in the global approach is …

input_variables

Anonymous (anonymous@undisclosed.example.com) — 2024-06-05T13:43:39+00:00

Input variables The implementation, application limits and field measurement protocol of statistical habitat models are very similar, with some variations depending on the model. In particular, estimating the hydraulic geometry of reaches, by measuring widths and depths at two flow rates, is the main input variable common to all statistical software. Input variables of models are provided by the user as variables or input files. However, for Estimhab with HABBY or with Excel, some input variabl…

model_stat

Anonymous (anonymous@undisclosed.example.com) — 2024-06-05T13:28:30+00:00

Statistical models * Estimhab is a statistical model of the numerical model Evha. It was developed in temperate streams of slope < 5%. 'Lamouroux N., Capra H. (2002) Simple predictions of instream habitat model outputs for target fish populations. Freshwater Biology 47, 1543-1556. Lamouroux N., Souchon Y. (2002) Lessons from instream habitat modelling for fish communities. Freshwater Biology 47, 1531-1542. Lamouroux N., Jowett I.G. (2005) Generalized instream habitat models. Canadian Journal…

r_doc

Anonymous (anonymous@undisclosed.example.com) — 2024-06-05T14:39:23+00:00

R Documentation: stathabmod package Authors: * nicolas.lamouroux -at- inrae.fr * virginie.girard –at- univ-grenoble-alpes.fr * Download and install the stathabmod package Run the examples included in the R documentation of * Stathab()

references

Anonymous (anonymous@undisclosed.example.com) — 2024-06-05T14:28:40+00:00

Knowing more : references Other statistical models Booker D.J., Acreman M.C. (2007) Generalisation of physical habitat-discharge relationships. Hydrology and Earth System Sciences 11, 141-157. Kim H.J., Kim J.H., Ji U., Jung S.H. (2020) Effect of Probability Distribution-Based Physical Habitat Suitability Index on Environmental-Flow Estimation. KSCE Journal of Civil Engineering, 24: 2393-2402.

validity_ranges

Anonymous (anonymous@undisclosed.example.com) — 2024-06-05T13:37:05+00:00

Validity ranges Generally The calibration domains of the different software are indicated below (physical characteristics), by software. Statistical habitat models do not apply in highly altered morphologies (e.g. channelized, recalibrated). It is generally possible to apply the software outside of their calibration domain, particularly in rivers whose width or mean flow deviates reasonably from the calibration domain, because the approach is based on the existence of very general statistical …