Assessing future hydrological and sediment transport response of an urban watershed using a machine learning-based land cover change model [0.03%]
基于机器学习的土地利用变化模型在城市流域水文和输沙响应预测中的应用研究
İsmail Bilal Peker,Gokhan Cuceloglu,Eren Dağra Sökmen et al.
İsmail Bilal Peker et al.
Assessing the impacts of land cover change (LCC) on hydrology and sediment load is essential for the sustainable management of urban watersheds. Modeling LCC using machine learning techniques enhances the ability to generate realistic futur...
Distribution, source identification, and ecological risk assessment of OCPs and PAHs in Apapa-Badagry creeks (west of Lagos lagoon) along the western Nigeria shoreline [0.03%]
尼日利亚西部拉各斯沿海阿帕帕-巴达格里河口水银和多环芳烃的分布、来源识别及生态风险评估
Adedayo Oluwaseun Adeleye,Opeyemi Otolorin Oyatola,Akintunde Adewole Adegbite et al.
Adedayo Oluwaseun Adeleye et al.
Surface sediments collected from Apapa-Badagry creeks (west of Lagos Lagoon) were investigated for the presence of organochlorine pesticides (OCPs) and polycyclic aromatic hydrocarbons (PAHs). The total OCP concentrations (∑OCPs) ranged fr...
Spatio-temporal patterns of river water quality in the klang river basin, malaysia: a functional data analysis approach to detect pre- and post-pandemic shifts [0.03%]
马来西亚哥打河盆地河流水质的时空格局：采用功能数据分析方法检测疫情前后的变化趋势
Nur Fatihah Mohd Ali,Ibrahim Mohamed,Rossita Mohamad Yunus et al.
Nur Fatihah Mohd Ali et al.
Understanding spatial and temporal patterns of river water quality over a multi-year period is crucial for effective basin management and pollution control. This study applies functional data analysis (FDA) to evaluate monthly water quality...
Assessing urban CO2 emissions and sequestration potential: a case study of median strip trees in Baghdad [0.03%]
Baghdād市中央隔离带树木二氧化碳排放与吸收潜力的评估研究
Al-Zahraa A Mohsen,Asraa Khtan Abdulkareem
Al-Zahraa A Mohsen
Rapid population growth has led to increased concentrations of greenhouse gases, particularly carbon dioxide (CO2), which contributes to rising temperatures. Trees are one of the most important tools for achieving carbon neutrality in citie...
Renu Saini,Garima Sethi,Dhruba Marak et al.
Renu Saini et al.
Uptake of tricyclazole from two rice growing soils, viz. clay loam and sandy loam, aged for different time duration, was evaluated in a 2-year study (2023 and 2024). Both soils were treated with tricyclazole at ~ 2 µg/g levels and were age...
Distribution and climatological trajectories of plastic debris released from the major rivers along the east coast of India using the Lagrangian particle tracking model [0.03%]
基于拉格朗日粒子追踪模型的印度东海岸主要河流释放塑料碎片的分布及气候轨迹研究
M Pruthvi Raju,V Suneel,S Veerasingam et al.
M Pruthvi Raju et al.
Marine plastic pollution predominantly originates from rivers, yet the extent of its return to shorelines remains uncertain. This study employs a Lagrangian particle tracking model to simulate the trajectories of plastic debris discharged f...
Design and application of a new 24-h water sampler for monitoring particulate and dissolved road pollutants [0.03%]
一种新型24小时路面颗粒和溶解污染物采样器的设计与应用研究
Katie McKenzie,Angela Pllu,Iain Campbell et al.
Katie McKenzie et al.
Road pollution is a threat to aquatic ecosystems globally. Road runoff contains a mixture of particulate (e.g. tyre and road wear particles (TRWPs), road lining paint fragments and microplastics) and 'dissolved' pollutants (e.g. leached tyr...
Evaluating wild freshwater bivalves as alternative sentinel species in Canadian Environmental Effects Monitoring (EEM) [0.03%]
评估野生淡水双壳类动物作为加拿大环境影响监测计划中的替代指示物种
C L Proulx,B W Kilgour,E Petelina et al.
C L Proulx et al.
The Canadian Environmental Effects Monitoring (EEM) program assesses whether mines in compliance with effluent regulations are associated with environmental impacts to fish populations, fish habitat, and fisheries resources. The EEM's fish ...
Practical investigation of climate extremes and IDF curves under climate change with applications of SSP scenarios (case study: Silakhor Plain, Iran) [0.03%]
基于SSP情景的气候变化下极端气候事件和 IDF 曲线实用调查研究——以伊朗塞拉科霍尔平原为例
Ali Sharghi,Mehdi Komasi
Ali Sharghi
It is necessary to assess climate extremes under conditions of climate change to avoid irreversible damage caused by catastrophic events. This assessment is beneficial for developing mitigation strategies. The Coupled Model Intercomparison ...
High-resolution agricultural drought hazard mapping using the potential of geospatial data and machine learning approaches [0.03%]
基于地理空间数据和机器学习方法的高分辨率农业干旱灾害制图研究
Ujjal Senapati,Aman Srivastava,Rajib Maity
Ujjal Senapati
Effective delineation of Agricultural Drought Hazard (ADH) zones is crucial for mitigating crop losses and ensuring water security in semi-arid regions. Conventional agricultural drought assessment methods, reliant on single-index approache...