Abstract: Natural water bodies mostly contain cations, and the type and content of these cations are the main factors affecting the flocculation of fine-grained cohesive sediments and the floc sedimentation rate at the interface between clear and turbid water. From the microscopic aspect, this study examined the changing patterns of porosity and the fractal dimension of the flocs of fine-grained cohesive sediments. Sedimentation experiments under... More

Abstract: The Yangtze River Basin's water resource utilization efficiency (WUE) and scientific and technological innovation level (STI) are closely connected, and the comprehension of these relationships will help to improve WUE and promote local economic growth and conservation of water. This study uses 19 provinces and regions along the Yangtze River's mainstream from 2009 to 2019 as its research objects and uses a Vector Auto Regression (VAR) model to... More

Abstract: Community-based forest management agreement in the country is a needed instrument in attaining sustainability of mangrove management. Sadly, there is no assurance that the system implemented in the mangrove forest management is sustainable. So, evaluating the mangrove management sustainability of the local tribe is a viable avenue for the appropriate management. In this study, the sustainability of the mangrove management system of the Tagbanua... More

Abstract: The establishment of the National Low Carbon City Master Plan (NLCCM) by Malaysia's government presents a significant opportunity to minimize carbon emissions at the subnational or local scales, while simultaneously fostering remarkable economic potential. However, the lack of data management and understanding of emissions at the subnational level are hindering effective climate policies and planning to achieve the nationally determined... More

Abstract: This paper examines the significance of innovative replanting strategies in maximizing oil palm yield while ensuring sustainable productivity. Through a comprehensive review of literature and analysis of current practices, the major findings of this research highlighted the importance of advanced breeding and clonal selection in developing high-yielding and disease-resistant oil palm varieties. Precision agriculture technologies, including IoT... More

Abstract: Excessive accumulation of zinc (Zn) in urban soil can lead to environmental pollution and pose a potential threat to human health and the ecosystem. How to quickly and accurately monitor the urban soil zinc content on a large scale in real time and dynamically is crucial. Hyperspectral remote sensing technology provides a new method for rapid and nondestructive soil property detection. The main goal of this study is to find an optimal... More

Abstract: Objectives: When detecting changes in synthetic aperture radar (SAR) images, the quality of the difference map has an important impact on the detection results, and the speckle noise in the image interferes with the extraction of change information. In order to improve the detection accuracy of SAR image change detection and improve the quality of the difference map, this paper proposes a method that combines the popular deep neural network with... More

Abstract: The Berg River Catchment based in the Western Cape Province, South Africa services the greater Cape Town area with water, subsequent to supplying the vast agricultural activities that exist in the middle and the lower reaches. This study thus investigates the hydrogeochemical interactions between surface and groundwater in the Berg River Catchment with the aim of establishing trends and transfer of constituents between the surface and... More

Abstract: Satellite image classification is crucial in various applications such as urban planning, environmental monitoring, and land use analysis. In this study, the authors present a comparative analysis of different supervised and unsupervised learning methods for satellite image classification, focusing on a case study in Casablanca using Landsat 8 imagery. This research aims to identify the most effective machine-learning approach for accurately... More