[논문]생물서식지 적합성 평가를 위한 Delft3D와 HABITAT 모델의 연계 적용

임혜정; 나은혜; 전형철; 송호진; 유호준; 황순홍; 류희성

doi:10.15681/kswe.2021.37.3.217

[국내논문] 생물서식지 적합성 평가를 위한 Delft3D와 HABITAT 모델의 연계 적용
Application of Integrated Modelling Framework Consisted of Delft3D and HABITAT for Habitat Suitability Assessment 원문보기

한국물환경학회지 = Journal of Korean Society on Water Environment, v.37 no.3, 2021년, pp.217 - 228

임혜정 (국립환경과학원 영산강물환경연구소) , 나은혜 (국립환경과학원 영산강물환경연구소) , 전형철 (국립환경과학원 영산강물환경연구소) , 송호진 (국립환경과학원 영산강물환경연구소) , 유호준 (지오시스템리서치) , 황순홍 (국립환경과학원 영산강물환경연구소) , 류희성 (국립환경과학원 영산강물환경연구소)

Abstract ▼ AI-Helper

This paper discusses a methodology where an integrated modelling framework is used to quantify the risk derived from anthropic activities on habitats and species. To achieve this purpose, a tool comprising the Delft3D and HABITAT model, was applied in the Yeongsan river. Delft3D effectively simulated the operational condition and flow of weirs in river. In accuracy evaluation of the Delft3D-FLOW, the Bias, Pbias, Mean Absolute Error (MAE), Nash-Sutcliffe Efficiency (NSE), and Index of Agreement (IOA) were used, and the result was evaluated as grade above 'Satisfactory'. The HABITAT calculated Habitat Suitability Value (HSV) for the following eight species: mammal, fish, aquatic plant, and benthic macroinvertebrate. An Area was defined as a suitable habitat if the HSV was larger than 0.5. HABITAT was judged accurately by measuring the Correct Classification rate (CCR) and the area under the ROC curve (AUC). For benthic macroinvertebrate, the CCR and AUC were 77% and 0.834, respectively, at thresholds of 0.017 and 4 inds/m2 for HSV and individuals per unit area. This meant that the HABITAT model accurately predicted the appearance of the benthic macroinvertebrates by approximately 77% and that the probability of false alarms was also very low. As a result of evaluating the suitability of habitats, in the Yeongsan river, if the annual "lowest level" (Seungchon weir: 2.5 EL.m/ Juksan weir: -1.35 EL.m) was maintained, the average habitat improvement effect of 6.5%P compared to the 'reference' scenario was predicted. Consequently, it was demonstrated that the integrated modelling framework for habitat suitability assessment is able to support the remedy aquatic ecological management.

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표/그림 (15)

그림 Fig. 1. Conceptual outline of the spatial analysis tool showing interactions between the Delft3D and HABITAT model (modified from Spiteri et al., 2011).
그림 Fig. 2. A site map showing the location of the inflow boundary and morphological grids of the Yeongsan river.
표 Table 1. Overview of the four modules considered in the HABITAT model
그림 Fig. 3. Cross-section of downstream of the Juksan weir in the Yeongsan river.
그림 Fig. 4. Relationship map of the ‘environmental state’ and’ecological state’ in case study Yeongsan river. It illustrates how 'water resource management' directly and indirectly affects the 'ecological state'.
그림 Fig. 5. Schematic of the grid-based modelling, HABITAT. Information per grid cell of parameter (environmental factors) maps a and b are translated into suitability map using the parameter specific rules α and β (Habitat Suitability Index; HSI). The resulting suitability map as and b_s are combined within an overall suitability map.
표 Table 2. Habitat suitability index (HSI) for the mammal, fish, benthic macroinvertebrate and macrophyte
그림 Fig. 6. Comparison of modelled weir operating conditions as three scenarios in the Seungchon weir and Juksan weir.
그림 Fig. 7. Comparison of modelled and observed water levels and water temperatures in the (a, c) Seungchon weir and (b, d) Juksan weir.
그림 Fig. 8. Comparison of modelled and observed water temperature by depth in the Juksan weir.
표 Table 3. Statistical summary of error index based on modelled water levels in references scenario at the representative sites
그림 Fig. 9. Accuracy of the HABITAT model indicated with ROC plots. AUC values calculated from the benthic macroinvertebrate. The thin line in the diagonal denotes 'hit rate'='false alarm rate'.
그림 Fig. 10. Graphic overview of ecological effects of level alteration regimes compared to the reference scenario. Colors represent deviation from the reference scenario. Values were calculated as average values over the one year.
그림 Fig. 11. Comparison of modelled results and field data of Baetis sp. (a) computational grids, (b) contour map of modelled results and (c) contour map of the field data in the upper region of Yeongsan river. The site's name is from ME/NIER(2018). Areas with a value of 1.0 indicate the highest suitability in the (b) contour map of modelled results. The legend of field data indicate number of individuals per m².
$Fig. 12. Percentage of suitable habitat (HSV ≥ 0.5) for (a) Phragmites communis, (b) Scirpus triqueter, (c) Potamogeton pectinatus, (d) Baetis sp., (e) Cobitis lutheri, (f) Rhodeus notatus, (g) Cyprinus carpio (immature), (h) Cyprinus carpio (adult), (i) Lutra lutra as a fraction compared to the reference scenario. Values above one (dot line) indicate higher suitability than the reference scenario.$ 그림 Fig. 12. Percentage of suitable habitat (HSV ≥ 0.5) for (a) Phragmites communis, (b) Scirpus triqueter, (c) Potamogeton pectinatus, (d) Baetis sp., (e) Cobitis lutheri, (f) Rhodeus notatus, (g) Cyprinus carpio (immature), (h) Cyprinus carpio (adult), (i) Lutra lutra as a fraction compared to the reference scenario. Values above one (dot line) indicate higher suitability than the reference scenario.

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