Emergy-Based Evaluation of the Sustainability of Agricultural Ecosystem in Dazhou, China, from 2002 to 2022 DOI Open Access

Yun Liu,

Johan Afendi Ibrahim,

Yen Sin Foo

и другие.

Sustainability, Год журнала: 2024, Номер 16(21), С. 9156 - 9156

Опубликована: Окт. 22, 2024

Our aim is to analyze the emergy evaluation indicators of agricultural ecosystem in Dazhou, northeastern Sichuan, and provide practical effective recommendations for sustainable development. Using analysis, inputs outputs an from 2002 2022 were calculated. Five selected evaluation: yield ratio (EYR), self-sufficiency (ESR), input (EIR), environmental load (ELR), indices (ESI). The total showed upward trend 2017, thus industrial auxiliary decreased, somewhat curbing its continued rise 2017 2022. structure inputs, descending order, as follows: > organic renewable resources non-renewable resources. output was highest 2007, reaching 2.31 × 1022 Sej, lowest 2012, at 1.83 Sej. outputs, livestock planting fishery forestry. fluctuated down 3.12 2.51, with average 2.88, below provincial 3.07. 0.30 0.26, 0.27, above 0.13. up 2.91, 2.66, 1.86. 3.8 4.75, 4.40, which higher than 1.68. 0.81 0.53, 0.67, 1.17. efficiency resource utilization Dazhou has economic have increased, it a consumptive production process. pressure on local natural environment increasing, capacity development remains low level over long term.

Язык: Английский

Semi-supervised and weakly-supervised deep neural networks and dataset for fish detection in turbid underwater videos DOI Creative Commons
Mohammad Jahanbakht, Mostafa Rahimi Azghadi, Nathan J. Waltham

и другие.

Ecological Informatics, Год журнала: 2023, Номер 78, С. 102303 - 102303

Опубликована: Сен. 11, 2023

Fish are key members of marine ecosystems, and they have a significant share in the healthy human diet. Besides, fish abundance is an excellent indicator water quality, as adapted to various levels oxygen, turbidity, nutrients, pH. To detect underwater videos, Deep Neural Networks (DNNs) can be great assistance. However, training DNNs highly dependent on large, labeled datasets, while labeling turbid video frames laborious time-consuming task, hindering development accurate efficient models for detection. address this problem, firstly, we collected dataset called FishInTurbidWater, which consists collection footage gathered from waters, quickly weakly (i.e., giving higher priority speed over accuracy) them 4-times fast-forwarding software. Next, designed implemented semi-supervised contrastive learning detection model that self-supervised using unlabeled data, then fine-tuned with small fraction (20%) our FishInTurbidWater data. At next step, trained, novel weakly-supervised ensemble DNN transfer ImageNet. The results show leads more than 20 times faster turnaround time between result generation, reasonably high accuracy (89%). same time, proposed waters (94%) accuracy, still cutting by factor four, compared fully-supervised trained carefully datasets. Our code publicly available at hyperlink FishInTurbidWater.

Язык: Английский

Процитировано

13
Spatio-temporal heterogeneity of ecological water level in Poyang Lake, China DOI Creative Commons
Mingxing Tian, Jingqiao Mao, Kang Wang

и другие.

Ecological Informatics, Год журнала: 2024, Номер 82, С. 102694 - 102694

Опубликована: Июнь 18, 2024

Anthropogenic activities and climate change have caused physical ecological changes in lakes aggravated water level fluctuations, which are essential factors to consider for nutrient import, protection, biodiversity maintenance. Maintaining levels within a reasonable range is maintaining lake function health, because ecosystem stability compromised when fluctuations exceed specific thresholds. Thus, the (EWL) an important index aquatic habitats biodiversity. A method quantifying EWL of based on hydrological statistical analysis was constructed bridge gaps existing studies, considering both alteration spatio-temporal heterogeneity fluctuations. Taking Poyang Lake as example, has recently attracted increasing global attention owing its alterations subsequent problems, applicability rationality results were verified. The indicate that occurs at representative stations, jointly affected by anthropogenic this region. For instance, construction operation Three Gorges Project Hukou Xingzi station, drought further station. calculated showed obvious heterogeneity, consistent with topographic, geographical, climatic characteristics basin. And study verified through literature reviews satisfiability characteristic species requirements. proposed calculation simple feasible easy data acquisition, strong universality, broad application prospects, offering scientific basis quantitative reference resource management protection.

Язык: Английский

Процитировано

4
AI-driven forecasting of river discharge: the case study of the Himalayan mountainous river DOI
Shakeel Ahmad Rather, Mahesh Patel, Kanish Kapoor

и другие.

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

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Maximum energy entropy: A novel signal preprocessing approach for data-driven monthly streamflow forecasting DOI Creative Commons
Alireza B. Dariane, Mohammad Reza M. Behbahani

Ecological Informatics, Год журнала: 2023, Номер 79, С. 102452 - 102452

Опубликована: Дек. 28, 2023

In recent years, the application of Data-Driven Models (DDMs) in ecological studies has garnered significant attention due to their capacity accurately simulate complex hydrological processes. These models have proven invaluable comprehending and predicting natural phenomena. However, achieve improved outcomes, certain additive components such as signal analysis (SAM) input variable selections (IVS) are necessary. SAMs unveil hidden characteristics within time series data, while IVS prevents utilization inappropriate data. realm research, understanding these patterns is pivotal for grasping implications streamflow dynamics guiding effective management decisions. Addressing need more precise forecasting, this study proposes a novel SAM called "Maximum Energy Entropy (MEE)" forecast monthly Ajichai basin, located northwestern Iran. A comparative was conducted, pitting MEE against well-known methods Discreet Wavelet (DW) Wavelet-Entropy (DWE), ultimately demonstrating superiority MEE. The results showcased superior performance our proposed method, with an NSE value 0.72, compared DW (NSE 0.68) DWE 0.68). Furthermore, exhibited greater reliability, boasting lower Standard Deviation 0.13 (0.26) (0.19). equips researchers decision-makers accurate predictions, facilitating well-informed water resource planning. To further evaluate MEE's accuracy using various DDMs, we integrated Artificial Neural Network (ANN) Genetic Programming (GP). Additionally, GP served method selecting appropriate variables. Ultimately, combination ANN forecasting model (MEE-GP-ANN) yielded most favorable results.

Язык: Английский

Процитировано

8
Comprehensive Ecological Functional Zoning: A Data-Driven Approach for Sustainable Land Use and Environmental Management—A Case Study in Shenzhen, China DOI Creative Commons
Yu Li, Fenghao Zhang,

Ruifan Li

и другие.

Land, Год журнала: 2024, Номер 13(9), С. 1413 - 1413

Опубликована: Сен. 2, 2024

A comprehensive approach to ecological functional zoning in the Shenzhen region of China is presented this study. Through integration advanced geospatial analysis tools, multiple data sources, and sophisticated statistical techniques, different functions have been identified categorized based on a set indicators spatial techniques. The three-level framework established study offers policymakers, urban planners, environmental managers nuanced understanding region’s characteristics, highlights areas significance that warrant special attention protection. It has demonstrated data-driven effective delineating distinct zones within area. This study’s findings carry significant implications for future land use planning, conservation efforts, sustainable development practices region. In essence, contributes broader discourse planning management by providing systematic urbanizing regions.

Язык: Английский

Процитировано

2
Morphological Model for Erosion Prediction of India’s Largest Braided River Using MIKE 21C Model DOI Creative Commons
Kuldeep Pareta

Earth Science Systems and Society, Год журнала: 2024, Номер 4

Опубликована: Янв. 15, 2024

The Brahmaputra River has a dynamic, highly braided channel pattern with frequent river bar formation, making it morphologically very especially during the monsoon season high discharge and sediment load. To understand how changes over time, this study focused on two stretches: Palasbari-Gumi Dibrugarh. Using 2D morphological models (MIKE-21C), aimed to predict erosion patterns, plan protective measures, assess short-term (1 year), medium-term (3 long-term (5 year) periods. Model runs were conducted design variables across these reaches, encompassing different hydrological scenarios development-planning scenarios. coarse sand fraction yielded mean annual load predictions of 257 Mt/year for 2021 year 314 under bankfull conditions in reach. In Dibrugarh reach, corresponding values 78 100 Mt/year. Notably, historical records indicate an 400 River. model results compared measurements from Acoustic Doppler Current Profilers (ADCP), showing good accuracy flow velocities, flood levels, loads. Discrepancies peak velocities ADCP remain consistently below 9% majority recorded data points. predicted levels condition exhibited outstanding accuracy, reaching nearly 91% at site notable 95% site. This presented valuable methodology enhancing strategic planning implementation training endeavours, particularly within dynamic channels rivers such as approach leverages predictive 2–3 years timeframe, contributing improved management.

Язык: Английский

Процитировано

1
Flood Risk Assessment Basing on Flood Flow Modeling in the Oued Martil Region, Western Part of Northern Morocco DOI Creative Commons
Sanae Bekkali, Abdelouahed El Ouazani Touhami, Mohamed Mastere

и другие.

Ecological Engineering & Environmental Technology, Год журнала: 2024, Номер 25(5), С. 243 - 255

Опубликована: Март 29, 2024

In the context of climate change, risk flooding is becoming an increasingly global concern.In addition, natural factors, economic development and urban expansion are significant contributors that have generated a strong demand for management risks, especially in domain floods inundations.This research aims to address issue flood Oued Martil region, specifically within cities Tetouan western part Northern Morocco.In this regard, study focuses on evaluating performance hydrological analysis plain modeling flows bed overflow area.The results show urbanized densely populated areas (with high vulnerability) match with zones or moderate hazard.Conversely, damage lower forests situated low hazard.The obtained from hydraulic can assist decision-makers selecting types interventions floodplain by providing comprehensive understanding Martil's behavior during exceedance peak flow rates different return periods.

Язык: Английский

Процитировано

0
Integrated Influence of Changing LULC and Aridity on Runoff Curve Numbers DOI Creative Commons

Prashant Prashant,

Surendra Kumar Mishra,

A. K. Lohani

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Май 29, 2024

Abstract The popular Soil Conservation Service-Curve Number (SCS-CN) method is widely used for direct surface runoff estimation from a given amount of rainfall in watershed. present urban sprawl, socioeconomic anthropogenic activities, and environmental changes all have affected the cosmic extent land use-land cover (LULC) complex climate, both spatially temporally, which directly affect parameter curve number (CN) and, turn, runoff. Therefore, study propels disparity representative CNs SCS-CN methodology, usually derived NEH-4 tables based on use soil type (CNLU−ST) observed rainfall(P)-runoff(Q) events (CNP−Q). annual series CNP−Q CNLU−ST (from 1980 to 2020) showed existence trends inconsistency between Ong River basin (India). alteration analysis utilized supervised machine learning algorithm indicated two major LULC classes as contributing factors increasing CNs. Furthermore, attributes implications shifting dynamics (~ 70%) climate variations 30%) Employing Aridity Index (AI), solving annual/decadal values revealed strong evidence with fit high R2 range (0.72, 0.99) aridity influencing

Язык: Английский

Процитировано

0
Emergy-Based Evaluation of the Sustainability of Agricultural Ecosystem in Dazhou, China, from 2002 to 2022 DOI Open Access

Yun Liu,

Johan Afendi Ibrahim,

Yen Sin Foo

и другие.

Sustainability, Год журнала: 2024, Номер 16(21), С. 9156 - 9156

Опубликована: Окт. 22, 2024

Our aim is to analyze the emergy evaluation indicators of agricultural ecosystem in Dazhou, northeastern Sichuan, and provide practical effective recommendations for sustainable development. Using analysis, inputs outputs an from 2002 2022 were calculated. Five selected evaluation: yield ratio (EYR), self-sufficiency (ESR), input (EIR), environmental load (ELR), indices (ESI). The total showed upward trend 2017, thus industrial auxiliary decreased, somewhat curbing its continued rise 2017 2022. structure inputs, descending order, as follows: > organic renewable resources non-renewable resources. output was highest 2007, reaching 2.31 × 1022 Sej, lowest 2012, at 1.83 Sej. outputs, livestock planting fishery forestry. fluctuated down 3.12 2.51, with average 2.88, below provincial 3.07. 0.30 0.26, 0.27, above 0.13. up 2.91, 2.66, 1.86. 3.8 4.75, 4.40, which higher than 1.68. 0.81 0.53, 0.67, 1.17. efficiency resource utilization Dazhou has economic have increased, it a consumptive production process. pressure on local natural environment increasing, capacity development remains low level over long term.

Язык: Английский

Процитировано

0