Promotion of green financing: Role of renewable energy and energy transition in China

Renewable Energy, Год журнала: 2023, Номер 210, С. 769 - 775

Опубликована: Апрель 26, 2023

Язык: Английский

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Integrating geospatial, remote sensing, and machine learning for climate-induced forest fire susceptibility mapping in Similipal Tiger Reserve, India

Forest Ecology and Management, Год журнала: 2024, Номер 555, С. 121729 - 121729

Опубликована: Янв. 31, 2024

Accurately assessing forest fire susceptibility (FFS) in the Similipal Tiger Reserve (STR) is essential for biodiversity conservation, climate change mitigation, and community safety. Most existing studies have primarily focused on climatic topographical factors, while this research expands scope by employing a synergistic approach that integrates geographical information systems (GIS), remote sensing (RS), machine learning (ML) methodologies identifying fire-prone areas STR their vulnerability to change. To achieve this, study employed comprehensive dataset of forty-four influencing including topographic, climate-hydrologic, health, vegetation indices, radar features, anthropogenic interference, into ten ML models: neural net (nnet), AdaBag, Extreme Gradient Boosting (XGBTree), Machine (GBM), Random Forest (RF), its hybrid variants with differential evolution algorithm (RF-DEA), Gravitational Based Search (RF-GBS), Grey Wolf Optimization (RF-GWO), Particle Swarm (RF-PSO), genetic (RF-GA). The revealed high FFS both northern southern portions area, nnet RF-PSO models demonstrating percentages 12.44% 12.89%, respectively. Conversely, very low zones consistently displayed scores approximately 23.41% 18.57% models. robust mapping methodology was validated impressive AUROC (>0.88) kappa coefficient (>0.62) across all validation metrics. Future (ssp245 ssp585, 2022–2100) indicated along edges STR, central zone categorized from susceptibility. Boruta analysis identified actual evapotranspiration (AET) relative humidity as key factors ignition. SHAP evaluation reinforced influence these FFS, also highlighting significant role distance road, settlement, dNBR, slope, prediction accuracy. These results emphasize critical importance proposed provide invaluable insights firefighting teams, management, planning, qualification strategies address future sustainability.

Язык: Английский

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Municipal solid waste classification and real-time detection using deep learning methods

Urban Climate, Год журнала: 2023, Номер 49, С. 101462 - 101462

Опубликована: Фев. 28, 2023

Язык: Английский

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Carbon Sequestration Potential of Commercial Agroforestry Systems in Indo-Gangetic Plains of India: Poplar and Eucalyptus-Based Agroforestry Systems

Forests, Год журнала: 2023, Номер 14(3), С. 559 - 559

Опубликована: Март 12, 2023

Climate change, land degradation, and desertification lead to the loss of carbon present in soil plants. The dioxide (CO2) concentration atmosphere has reached 412 ppm. This is a rise 47% since start industrial period, when was close 280 Therefore, sequestration from earth need hour. Many scientists have suggested agroforestry as potent instrument for climate change mitigation well fetch lucrative benefits. Indian government also promulgating tree-based systems increasing tree cover up 33% total geographical area mitigate change. expansion commercial system fast-growing species producing higher biomass could be sustainable ecologically benign technique sequester carbon, increase green cover, improve financial status farmers. review highlights systems, potential, case studies poplar eucalyptus. such (Populus deltoides), nilgiri (Eucalyptus spp.), subabul (Leucaena leucocephala), heaven (Ailanthus excelsa), willow (Salix malabar neem (Melia dubia), cadamba (Neolamarckia cadamba), white teak (Gmelina arborea) are suitable under agroforestry. Among these species, eucalyptus major that been adopted by millions farmers India 1990s. Indo-Gangetic plains considered birthplace or agroforestry, widely planted. reports potential stock 212.7 Mg C ha−1 237.2 ha−1, respectively. Further, net rate 10.3 12.7 yr−1, In conclusion, very successful regions country but needs further with compatible crops different parts country.

Язык: Английский

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Retracted: Enhancing waste management and prediction of water quality in the sustainable urban environment using optimized algorithm of least square support vector machine and deep learning techniques

Urban Climate, Год журнала: 2023, Номер 49, С. 101487 - 101487

Опубликована: Апрель 6, 2023

Язык: Английский

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Analysis of the Infiltration and Water Storage Performance of Recycled Brick Mix Aggregates in Sponge City Construction

Water, Год журнала: 2023, Номер 15(2), С. 363 - 363

Опубликована: Янв. 16, 2023

With the gradual advancement of urbanization, urban hardened roofs and pavements are increasing, rainwater cycle is being seriously damaged; sponge city construction has become an inevitable trend to address this problem. The analysis infiltration storage performance recycled brick aggregate, which highly absorbent can be used as a permeable paving material in cities, great significance. study firstly designed simulated rainfall test device, then carried out tests terms aggregate gradation, type, grade, finally analyzed its effect on void structure water mix aggregates. outcomes demonstrate that particle size concrete positively related capacity, volume rate sand close 26%. fitting result 1 h under different dosage 0.984. After rainfall, 3 times natural absorption 2.5 aggregate. This indicates strong permeability properties potential for application construction, provides reference optimal design subsequent cities.

Язык: Английский

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Multilayer Perceptron and Their Comparison with Two Nature-Inspired Hybrid Techniques of Biogeography-Based Optimization (BBO) and Backtracking Search Algorithm (BSA) for Assessment of Landslide Susceptibility

Land, Год журнала: 2023, Номер 12(1), С. 242 - 242

Опубликована: Янв. 12, 2023

Regarding evaluating disaster risks in Iran’s West Kurdistan area, the multi-layer perceptron (MLP) neural network was upgraded with two novel techniques: backtracking search algorithm (BSA) and biogeography-based optimization (BBO). Utilizing 16 landslide conditioning elements such as elevation (aspect), plan (curve), profile (curvature), geology, NDVI (land use), slope (degree), stream power index (SPI), topographic wetness (TWI), rainfall, sediment transport (STI), 504 landslides target variables, a large geographic database is constructed. Applying techniques mentioned above to synthesis of MLP results suggested BBO-MLP BSA-MLP ensembles. As accuracy standards, we benefit from mean absolute error, square area under receiving operating characteristic curve assess utilized models, have also designed scoring system. The MLP’s increases thanks application BBO BSA algorithms. Comparing BSA, find that former achieves higher average ranks (20, 15, 14). A further finding showed superior at maximizing MLP.

Язык: Английский

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Modeling Analysis of Heavy Metal Evaluation in Complex Geological Soil Based on Nemerow Index Method

Metals, Год журнала: 2023, Номер 13(2), С. 439 - 439

Опубликована: Фев. 20, 2023

To accurately understand soil environmental quality and improve the problem of traditional method, which is that it has a single evaluation factor cannot reflect overall condition soil, complex geological heavy metal modeling method based on Nemerow index proposed. Index methods, ArcGIS technology, human health risk assessment were carried out to obtain spatial distribution metals in current status pollution accumulation. The comprehensive (CPI) geo-accumulation (GAI) potential ecological hazard (PEH) adopted analyze degree metals. On this basis, was used establish model, standard calculated complete soils. research results showed could make factors reasonable scores more results.

Язык: Английский

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Forest Fire Susceptibility Zonation in Eastern India Using Statistical and Weighted Modelling Approaches

Remote Sensing, Год журнала: 2023, Номер 15(5), С. 1340 - 1340

Опубликована: Фев. 27, 2023

Recurring forest fires disturb ecological balance, impact socio-economic harmony, and raise global concern. This study implements multiple statistical weighted modelling approaches to identify fire susceptibility zones in Eastern India. Six models, namely, Frequency Ratio (FR), Certainty Factor (CF), Natural Risk (NRF), Bivariate (Wi Wf), Analytical Hierarchy Process (AHP), Logistic Regression (LR) were used the study. Forest inventory (2001 2018) mapping was done using points captured by MODIS (Moderate Resolution Imaging Spectroradiometer) sensor. Fire responsible components, topography (which has four variables), climate (5), biophysics (8) disturbance (4) as inputs approaches. Multicollinearity analysis carried out examine association remove highly-correlated variables before performing modeling. Validation of model prediction levels Area Under Receiver Operating Characteristic Curve (ROC curve-AUC) value. The results reveal that areas with west southwest orientations, moderate slope demarcate higher fire. High precipitation lower temperature but ample solar radiation increase their Mixed deciduous type radiation, NDVI, NDWI TWI values exhibits susceptibility. Model validation shows LR (with AUC = 0.809) outperforms other models To minimize risk frame proper management plans for area, satellite imageries, GIS technique, is highly recommended.

Язык: Английский

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Life cycle assessment of energy consumption and GHG emission for sewage sludge treatment and disposal: a review

Frontiers in Energy Research, Год журнала: 2023, Номер 11

Опубликована: Июнь 9, 2023

With increasing population and urbanization, the amount of municipal sewage sludge generated is huge growing rapidly. In order to minimize resource inputs pollutant emissions in disposal process, it crucial carry out an environmental impact analysis sustainability assessment different strategies based on life cycle (LCA). LCA provides a flexible framework for quantifying consumption processes determine energy treatment disposal. The aim this review compare GHG existing management options nutrient recovery. At same time, characteristics potential convert from waste valuable products were assessed. While excessive moisture content ash make unsuitable use as fuel, risk contamination with heavy metals makes less suitable organic fertilizer, material recovery during can reduce costs impacts. context current limitations reviewed, level routes is: composting > anaerobic digestion pyrolysis incineration. routes, negative could potentially be achieved by substituting fossil fuels heat electricity generation, or fertilizer substitute. development application future should at reduction harmless disposal, thereby reducing operating burdens through resources.

Язык: Английский

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