Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Chamo catchment DOI Creative Commons
Agegnehu Kitanbo Yoshe

H2Open Journal, Год журнала: 2024, Номер 8(1), С. 20 - 41

Опубликована: Дек. 19, 2024

ABSTRACT Understanding the change dynamics of land use and cover (LULC) has a critical influence on hydrological characteristics watershed, economic development, ecological variation, climate changes, been used to resolve current dilemmas between land, water, energy, food sector. It is also essential as observed reflects status environment provides input parameters for sustainable natural resource management optimization. The Chamo catchment undergone large in LULC which increased soil erosion lake sedimentation. In this paper, long-term variations were evaluated using MODIS ESRI Sentinel-2 datasets. As result, significant variation was study area from 2001 2022. Spatial temporal two Based MODIS, grassland dominant class, whereas ESRI, rangeland cropland LULC. result policy-makers stakeholders water management, maintenance, climatic adoption pathways. findings provided evidence that are effective datasets detecting be applied different areas.

Язык: Английский

Assessing Past, Present, and Simulated Future Prediction of Land Use Land Cover Changes using CA-Markov Chain Models with Satellite Data DOI Creative Commons
Sajjad Hussain, Saeed Ahmad Qaisrani, Aqil Tariq

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 105585 - 105585

Опубликована: Июнь 1, 2025

Язык: Английский

Процитировано

0

Future projections of worst floods and dam break analysis in Mahanadi River Basin under CMIP6 climate change scenarios DOI
Roniki Anjaneyulu, Ratnakar Swain, Mukunda Dev Behera

и другие.

Environmental Monitoring and Assessment, Год журнала: 2023, Номер 195(10)

Опубликована: Сен. 8, 2023

Язык: Английский

Процитировано

8

Integrated assessment of the Plio-quaternary sedimentary succession and groundwater mineralization forecasting in the Rharb Basin (Northwestern Morocco) DOI

Mohammed Jelbi,

Abdelaziz Mridekh, Soufiane Taia

и другие.

Journal of African Earth Sciences, Год журнала: 2024, Номер 215, С. 105277 - 105277

Опубликована: Май 4, 2024

Язык: Английский

Процитировано

2

Assessment of monthly hydroclimatic patterns and rainfall-runoff modeling for hydrometric forecasting in the Upper Inaouene Basin, Northern Morocco DOI
Said El Boute, Aïman Hili, Abdessamad Hilali

и другие.

Modeling Earth Systems and Environment, Год журнала: 2024, Номер 10(5), С. 6539 - 6573

Опубликована: Авг. 19, 2024

Язык: Английский

Процитировано

2

Meteorological drought forecasting via soft computing models in Gharb perimeter (Northwest Morocco) DOI Creative Commons
Siham Acharki, Youssef Arjdal, Bouâbid El Mansouri

и другие.

E3S Web of Conferences, Год журнала: 2024, Номер 489, С. 04015 - 04015

Опубликована: Янв. 1, 2024

Drought forecasting has implications for managing water and irrigation. Currently, with improved technology like artificial intelligence, can be more accurate. In this research, we chose standardized potential evapotranspiration index (SPEI) to characterize drought pattern. To achieve this, the data used was acquired from five meteorological stations in an irrigated Moroccan perimeter 1976 2015. Besides, predict SPEI at two scales (SPEI-3 SPEI-6) inputs combination by exploring capabilities of M5 pruned (M5P) Light Gradient Boosting Machine (LightGBM), along their hybrid model (LightGBM-M5P). assess effectiveness, employed three statistical metrics (R 2 , MAE RMSE). The findings indicated that using a larger time scale analysis enhances ability forecast values accurately. Moreover, revealed M5P demonstrated superior performance compared other studied models.

Язык: Английский

Процитировано

1

Using national hydrologic models to obtain regional climate change impacts on streamflow basins with unrepresented processes DOI Creative Commons
Patience Bosompemaa, Andrea E. Brookfield, Samuel C. Zipper

и другие.

Environmental Modelling & Software, Год журнала: 2024, Номер unknown, С. 106234 - 106234

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

1

MODELAGEM HIDROLÓGICA DA BACIA DO RIO ICONHA - ES: POTENCIALIDADES, DESAFIOS E SOLUÇÕES PARA PEQUENAS BACIAS HIDROGRÁFICAS DOI Creative Commons
Fábio Luiz Mação Campos, Mariana Domingues, André Luiz Nascentes Coelho

и другие.

GEOCONEXÕES, Год журнала: 2024, Номер 3(20), С. 78 - 104

Опубликована: Дек. 30, 2024

As modelagens hidrológicas são amplamente utilizadas em vários estudos e pesquisas para a gestão de recursos hídricos, tendo sido desenvolvidas enfrentar os desafios diferentes níveis complexidade das bacias drenagem. Nesse contexto, o objetivo deste artigo é demonstrar uso da modelagem hidrológica com SWAT+ (Soil and Water Assesment Tool Plus) como ferramenta simulação processos análise ambiental pequenas hidrográficas, destacando soluções encontrados uma satisfatória. Para isso, bacia hidrográfica do Rio Iconha, localizada no estado Espírito Santo (Brasil), foi usada exemplo, executando-se sua modelagem, calibração validação. Fica demonstrado que principais estão ligados à carência dados espaciais escala adequada disponibilidade monitoramento validação modelagem. Por outro lado, versatilidade cenários capacidade representação dos aspectos quantitativos aos diversos hidrossedimentológicos destacadas pontos positivos SWAT+. Assim, surge alternativa quantificação diversas variáveis, entradas saídas sistema, principalmente tange às demandas aplicação avaliação métodos conceitos associados ao planejamento hidrográficas.

Процитировано

1

Climate change and its effects on the streamflow of an Andean river basin with volcanic activity DOI Creative Commons
Hernán Salas, Carolina Florian, Alejandro Builes‐Jaramillo

и другие.

Journal of Water and Climate Change, Год журнала: 2023, Номер 14(12), С. 4598 - 4616

Опубликована: Ноя. 2, 2023

Abstract We use a Generalized Watershed Loading Function (GWLF) model to simulate streamflow in the Gualí River Basin. The model's performance is assessed using metrics such as percentage of bias (PBIAS), Nash–Sutcliffe efficiency (NSE), RMSE–observations standard deviation ratio (RSR), and Kling–Gupta (KGE) indicate good performance. Furthermore, we analyze projections precipitation several global climate models (GCMs) from Coupled Model Intercomparison Project Phase 6 (CMIP6) three shared socioeconomic pathways (SSP1-2.6, SSP2-4.5, SSP5-8.5). Despite uncertainties coarse resolution, our results show that increases mean significantly decreasing trends projected are observed 2015 2099 under SSP5-8.5 scenario. findings suggest an increase long-term mid-flow low-flow. Moreover, this work provides methodological framework for hydrological modeling small tropical river basins, by incorporating data GCMs while raising concerns caveats. This study offers valuable insights into potential effects change on Andean basin characterized volcanic activity significant human impacts. reported here provide useful information future decisions related water supply social, environmental, productive sectors seven towns within catchment.

Язык: Английский

Процитировано

2

Projected effects of climate change in precipitation and streamflows of the Upper Orinoco River Basin from global and regional climate models DOI Creative Commons
Hernán Salas, Alejandro Builes‐Jaramillo, Carolina Florian

и другие.

Journal of Water and Climate Change, Год журнала: 2024, Номер 15(7), С. 3015 - 3032

Опубликована: Май 29, 2024

ABSTRACT We studied the projections of streamflows under climate change scenarios in Upper Orinoco River Basin by using precipitation from 15 global and regional models for period 2020–2099. For this purpose, we calibrated validated a hydrological model with very good performance. Our results show that both streamflow have significant reduction RCP8.5 scenario ranges 5 7% relation to long-term means at end century. The changes variables are not RCP2.6 scenario. Moreover, compute several indicators quantify alterations high-, mid-, low-range flows. suggest main future runoff would be evidenced mid-range low flows, which could increase around ∼5 ∼25%, respectively. These lead hydrological, environmental, ecological balance basin. This work provides information regarding possible effects on one most important river basins northern South America, is pivotal supporting decision-making water supply social, productive sectors.

Язык: Английский

Процитировано

0

Introduction to meteorology, weather, and climate DOI

Nawhath Thanvisitthpon,

Kraiwuth Kallawicha, Hsing Jasmine Chao

и другие.

Elsevier eBooks, Год журнала: 2024, Номер unknown, С. 303 - 329

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0