Prioritizing sub-watersheds based on soil-erosion potential by integrating RUSLE and game-theory algorithms

Advances in Space Research, Год журнала: 2023, Номер 72(2), С. 471 - 487

Опубликована: Март 25, 2023

Язык: Английский

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Conjunct application of machine learning and game theory in groundwater quality mapping

Environmental Earth Sciences, Год журнала: 2023, Номер 82(17)

Опубликована: Авг. 9, 2023

Abstract Groundwater quality (GWQ) monitoring is one of the best environmental objectives due to recent droughts and urban rural development. Therefore, this study aimed map GWQ in central plateau Iran by validating machine learning algorithms (MLAs) using game theory (GT). On basis, chemical parameters related water quality, including K + , Na Mg 2+ Ca SO 4 2− Cl − HCO 3 pH, TDS, EC, were interpolated at 39 sampling sites. Then, random forest (RF), support vector (SVM), Naive Bayes, K-nearest neighbors (KNN) used Python programming language, was plotted concerning GWQ. Borda scoring validate MLAs, sample points prioritized. Based on results, among ML algorithms, RF algorithm with error statistics MAE = 0.261, MSE 0.111, RMSE 0.333, AUC 0.930 selected as most optimal algorithm. created algorithm, 42.71% studied area poor condition. The proportion region classes moderate high 18.93% 38.36%, respectively. results prioritization sites GT showed a great similarity between model. In addition, analysis condition critical non-critical based that aspects, carbonate balance, salinity general, it can be said simultaneous use MLA provides good basis for constructing Iran.

Язык: Английский

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Flood-based critical sub-watershed mapping: comparative application of multi-criteria decision making methods and hydrological modeling approach

Stochastic Environmental Research and Risk Assessment, Год журнала: 2023, Номер 37(7), С. 2757 - 2775

Опубликована: Март 7, 2023

Язык: Английский

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Comparative applicability of MCDM‐SWOT based techniques for developing integrated watershed management framework

Natural Resource Modeling, Год журнала: 2023, Номер 36(4)

Опубликована: Июнь 13, 2023

Abstract Environmental planning facilitates decision‐making to achieve sustainable development goals and provides a crucial way integrated watershed management (IWM). However, such systematic has not been adequately conducted worldwide. Therefore, this study was develop an IWM framework using SWOT (i.e., strengths, weaknesses, opportunities, threats) model for the Cheshmeh–Kileh Watershed, Mazandaran Province, Iran. The input components were comparatively weighted different multicriteria (MCDM) techniques, including Game Theory Algorithm (GTA), Best–Worst Method (BWM), VIekriterijumsko KOmpromisno Rangiranje (VIKOR), Technique Order of Preference by Similarity Ideal Solution (TOPSIS), Simple Additive Weighting (SAW). Semistructured interviews with stakeholders, residents, executive experts, policymakers, used identify factors. number interviewees in subgroups local users, policy‐making institutions organization 75, 13, 6 respectively. Five MCDM techniques then calculate overall weight According results, groups factors abundant water resources, severe floods, promotion environmental conservation culture, increasing migration young age respective weights 0.298, 0.372, 0.279 scored higher than other Based on weights, it can be said that positive more points negative according opinions Watershed good condition based strengths opportunities compared weaknesses threats, reason, GTA SAW, which had included status growth strategy, selected as best method. BWM TOPSIS provided relatively acceptable weakest result associated VIKOR, showed defensive strategy. present results help managers optimal decisions create ecological balance increase welfare residents.

Язык: Английский

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Web-based prototype system for flood simulation and forecasting based on the HEC-HMS model

Environmental Modelling & Software, Год журнала: 2022, Номер 158, С. 105541 - 105541

Опубликована: Окт. 1, 2022

Язык: Английский

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Application of strategic planning and multi-objective decision-making models in integrated watershed management: A case study in the Cheshmeh-Kileh Watershed, Iran

Journal of Hydrology, Год журнала: 2024, Номер 631, С. 130690 - 130690

Опубликована: Фев. 2, 2024

Язык: Английский

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Integration of Watershed eco-physical health through Algorithmic game theory and supervised machine learning

Groundwater for Sustainable Development, Год журнала: 2024, Номер 26, С. 101216 - 101216

Опубликована: Май 31, 2024

The eco-physical health assessment of watersheds is crucial for sustainable water resource management and ecosystem services. This study quantifies the Talar watershed in Iran using geometric mean method (GMM), game-theoretic algorithm (GTA), machine learning algorithms including Random Forest (RF), Support Vector Machine (SVM), Simple Linear Regression (SLR), K-Nearest Neighbor (KNN) distributed semi-distributed monitoring. results show that RF performed better than other models, as indicated by MAE, MSE, RMSE, AUC statistics with values 0.032, 0.003, 0.058, 0.940, respectively. index prioritization different approaches showed pattern changes positively from upstream to downstream. Based on GMM, it can be said sub-watersheds Int6 Int5 are healthiest studied watershed, 0.93 0.90, GTA approach, also Int6, Int5, Int01 ones. In case algorithm, average pixels each sub-watershed were recognized 0.91 0.88, consistently emerged across all methods, attributed high TWI NDVI low slope, DEM, erosion, CN values. general, catchment fully followed factors affecting catchment's spatial patterns change this consistent physiographic hydroclimatic conditions three approaches. study's implications underline importance multi-criteria multi-algorithm accurately assessing managing development.

Язык: Английский

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Prioritization of Subwatershed Using Remote Sensing and Geographic Information System in Gandaki Province, Nepal

World Water Policy, Год журнала: 2025, Номер unknown

Опубликована: Фев. 2, 2025

ABSTRACT Watershed degradation is a significant global problem, and as mountainous nation, Nepal faces even greater challenges in managing its water resources. Because it largely unrealistic to execute management plans at time for large spatial extent, subwatershed prioritization has now become promising approach watersheds. Our study delineated prioritize subwatersheds the Gandaki Province, Nepal, utilizing geospatial technique‐based morphometric analysis first provincial level. Using Digital Elevation Model having 30‐m resolution ArcGIS, we 121 across province, ranging size from 29 796 km 2 . Subwatersheds were quantitatively ranked by assigning 60% weight biophysical parameters 40% anthropogenic factors. The study's novel inclusion of road network density livestock within aspect, each assigned 10 points, alongside population that received 20 points. Eleven subwatersheds, one district, prioritized because highest risk. Myagdi Khola 3 covering an area 309 , Kali Nadi 1 Parbat 33 two with score 100. scoring higher priorities should be adopted development programs immediate effect. This directly contributes Sustainable Development Goals promoting targeted action resource management, supporting ecosystem preservation, climate resilience.

Язык: Английский

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Application of remote sensing indicators and deep learning algorithms to model the spatial distribution of soil moisture

Earth Science Informatics, Год журнала: 2025, Номер 18(2)

Опубликована: Май 19, 2025

Язык: Английский

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Sub-basins prioritization based on morphometric analysis and geographic information systems: a case study of the Barada river basin, Damascus countryside governorate, Syria

DELETED, Год журнала: 2023, Номер 89(2), С. 376 - 385

Опубликована: Апрель 24, 2023

Sub-basins prioritization is considered an essential procedure in ecosystem management and planning on watershed scales. Integrating morphometric parameters remote-sensing data (RS) a geographic information system (GIS) environment provides advanced platform that effectively investigates sub-basins prioritization. In the current study, eight belonging to Barada river basin was investigated by utilizing assessment order comprehensively specify for conservation strategies. The final map evaluates classes: low, moderate, high, very high. results also determines SB8, SB4, SB3, SB7 SB6 have highest prioritization, which, turn, refers urgent need conserving measures. Totally, spatial outcomes of present study constructively proved efficiency extracted layers from RS-data regard evaluation basin; they include important tool post-war environmental rehabilitation basins Syria.

Язык: Английский

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