Benefit evaluation of sloping land conversion program in the upper reaches of the Yellow River.

This study used forestry statistical data and field survey data from 2000 to 2018 to analyze the ecological restoration effect of the returning farmland to forest project in the upper reaches of the Yellow River, considering four perspectives, namely, project construction goals, ecosystem quality, ecosystem service functions, and ecological restoration driving factors. One-way ANOVA and logit regression analysis methods were used for comparison. The results show that the implementation of the Grain for Green Project has reduced the carrying capacity of rural land, effectively curbed the continuous deterioration of the ecological environment, and protected and benefited the forest ecosystem.

Crop classification in the middle reaches of the Hei River based on model transfer.

Crop classification using remote sensing technology is highly important for monitoring agricultural resources and managing water usage, especially in water-scarce regions like the Hei River. Crop classification requires a substantial number of labeled samples, but the collection of labeled samples demands significant resources and sample data may not be available for some years. To classify crops in sample-free years in the middle reaches of the Hei River, we generated multisource spectral data (MSSD) based on a spectral library and sample data.

Comparative study on genesis mechanism of high arsenic groundwater in typical alluvial plain of the Upper and lower Yellow River, China.

Groundwater with naturally high‑arsenic (As) concentrations is a pervasive issue across several major plains (basins) traversed by the Yellow River in China. The genesis of this high-As groundwater and its interrelationships among different plains (basins) have consistently been focal and challenging topics for domestic and international experts. The study focuses on the Hetao Basin in the upper Yellow River and the North Henan Plain in its lower reaches.

Integrated impacts of mariculture on nitrogen cycling processes in the coastal groundwater of Beihai, southern China.

Groundwater nitrogen (N) contamination in coastal zones is becoming an increasingly serious global issue. Mariculture, as a major anthropogenic activity, has profound impacts on coastal groundwater and constitutes an important source of coastal N contamination. However, a comprehensive understanding of the impact of mariculture on N cycling (especially N removal) is still lacking.

Investigating the determinants of Singaporean citizens' attitudes toward marine litter pollution control: A policy acceptance model.

The problem of marine litter has caused significant threat to marine environment and human health, and has attracted wide attention. It is estimated that the weight of plastic waste in the oceans will exceed that of fish by 2050. Since a large part of marine debris originate from land-based domestic waste, developing relevant policies to manage the disposal of domestic garbage can effectively prevent and control marine litter pollution.

Saline soil improvement promotes the transformation of microbial salt tolerance mechanisms and microbial-plant-animal ecological interactions.

The improvement of coastal saline land would alleviate the problem of insufficient arable land and provide new solutions for guaranteeing food security and ecological environment modification. In this study, five typical soil samples were collected from Tongzhou Bay, China. The changes in bacterial, animal and plant community composition before and after improvement were comprehensively investigated by a combination of high-throughput sequencing and macro-barcode sequencing analysis of eDNA.

Heavy metal(loid)s pollution in soils of a typical agricultural and rural area: Source apportionment and derived risk quantification.

In light of the pervasive contamination of soils with heavy metals (HMs) on a global scope, the precise identification and assessment of sources and areas of contamination are crucial for the effective management and utilization of land. This study combines several models to quantitatively apportion possible sources of HMs and environmental risks in agricultural and rural areas of Langfang City, Hebei Province. The findings indicate that the accumulation of HMs is influenced by human activities, with varying degrees of accumulation observed.

Assessment of groundwater quality of unconfined aquifers in an urbanized area using the water quality index method.

This study performed an evaluation of the groundwater quality of unconfined aquifers in Yangzhou, located in the Yangtze River Delta, eastern China. The study area is the source area of the Eastern Route (ER) of the South-to-North Water Diversion Project (SNWDP), typical of the lower alluvial plain of the lower Yangtze River. Water samples from monitoring wells and domestic wells were collected to analyze common variables (pH, EC), major ions, trace metals, etc.

Increasing phosphorus loss despite widespread concentration decline in US rivers.

The loss of phosphorous (P) from the land to aquatic systems has polluted waters and threatened food production worldwide. Systematic trend analysis of P, a nonrenewable resource, has been challenging, primarily due to sparse and inconsistent historical data. Here, we leveraged intensive hydrometeorological data and the recent renaissance of deep learning approaches to fill data gaps and reconstruct temporal trends.

Assessing the impacts of climate change on high mountain land-based livelihoods: An empirical investigation in District Nagar, Gilgit-Baltistan, Pakistan.

Land-based livelihoods in Pakistan's high mountain regions are highly vulnerable to climate change due to the complex interactions between people and their natural environment. This study uses a mixed-method approach to explore how climate change affects land-based livelihoods in the high mountain Nagar District, Pakistan. Data were collected using a structured household survey of 430 randomly selected farmers, supplemented by focus group discussions and key informant interviews.

Extrinsic Motivation vs. Intrinsic Motivation: Key Factors Influencing Farmers' Land Quality Protection Behavior in China.

The crowding effect of individual behavior motivation is a focal point in various disciplines, such as economics and social psychology. Understanding the motivation crowding effect in the context of pro-environmental behavior of farmers is crucial for formulating agricultural environmental policies. However, there is limited knowledge about the motivation crowding effect on farmers' land quality protection behavior, especially in developing countries.

Differences in the influence of the built environment on physical activities for people with normal weight, overweight, and obesity.

The link between the built environment and physical activity (PA) has received substantial research attention in health geography and public health studies. Limited research efforts have been spent to investigate if the link would be different for people with or without obesity, and prior studies often overlook potential nonlinear associations. Knowledge of such potential differences will be essential for developing tailor-made urban planning or spatial policies to promote physical activities and health for different population groups.

Impact of special economic zones on socioeconomics and local development in Pakistan: Evidence from Allama Iqbal Special Economic Zone, Faisalabad.

The purpose of this study was to investigate the impact of SEZ on indigenous peoples' socioeconomic status and local development in the study area. A quantitative approach to analyzing the socioeconomics of treatment and control groups. A structured questionnaire was designed and a field survey was undertaken to collect primary data from respondents.

Key factors affecting project delivery system selection in the Chinese construction industry.

This study aims to investigate the key factors owners consider when selecting a PDS, the importance degree of these factors, and the perception differences among owners, consultants, and contractors regarding these factors. Interviews and questionnaire surveys were used to determine the importance degree of each influencing factor. And perception differences of the influencing factors on PDS among the three subjects were calculated through SPSS 15.

Investigating the impact of the COVID-19 pandemic on the nutritional status of infants and toddlers: insights from China.

Background: A comprehensive understanding of the impact of the COVID-19 pandemic on childhood nutrition is crucial for devising effective mitigation strategies. However, existing knowledge regarding the pandemic's effect on childhood nutritional status remains limited. Furthermore, research focusing on young children aged 0-3 years is scarce.

Optimized groundwater quality evaluation using unsupervised machine learning, game theory and Monte-Carlo simulation.

Assessing groundwater quality is essential for achieving sustainable development goals worldwide. However, it is challenging to conduct hydrochemical analysis and water quality evaluation by traditional methods. To fill this gap, this study analyzed the hydrochemical processes, drinking and irrigation water quality, and associated health risks of 93 groundwater samples from the Sichuan Basin in SW China using advanced unsupervised machine learning, the Combined-Weights Water Quality index, and Monte-Carlo simulations.

Contributions of ecological restoration policies to China's land carbon balance.

Unleashing the land sector's potential for climate mitigation requires purpose-driven changes in land management. However, contributions of past management changes to the current global and regional carbon cycles remain unclear. Here, we use vegetation modelling to reveal how a portfolio of ecological restoration policies has impacted China's terrestrial carbon balance through developing counterfactual 'no-policy' scenarios.

Biochar Organic Fertilizer Combined with Indigenous Microorganisms Enhances the Growth of Landscape Grass Cultivated in a Substrate Mixed with Iron Tailings and Mining Topsoil.

Iron tailings from the mining process occupy vast land areas and pose a significant ecological risk. In order to reuse iron tailings resources and carry out in situ ecological restoration of a mine, in this study, a medium of mixed iron tailings and mining topsoil (m:m = 3:1) was used to plant landscape grasses, including L. ), (L.

Research on the Quantitative Inversion of Soil Iron Oxide Content Using Hyperspectral Remote Sensing and Machine Learning Algorithms in the Lufeng Annular Structural Area of Yunnan, China.

This study used hyperspectral remote sensing to rapidly, economically, and non-destructively determine the soil iron oxide content of the Dinosaur Valley annular tectonic region of Lufeng, Yunnan Province. The laboratory determined the iron oxide content and original spectral reflectance (OR) in 138 surface soil samples. We first subjected the OR data to Savizky-Golay smoothing, followed by four spectral transformations-continuum removal reflectance, reciprocal logarithm reflectance, standard normal variate reflectance, and first-order differential reflectance-which improved the signal-to-noise ratio of the spectral curves and highlighted the spectral features.

Simulation and Optimization of Transmitting Transducers for Well Logging.

Piezoelectric transducers are commonly used in acoustic well logging. However, the low frequency and narrow range of the acoustic waves limit the achievable detection accuracy. In addition, the low amplitude of the waves causes useful information to be easily masked by noise during detection, which affects the accuracy of geological identification and makes it difficult to detect formations tens of meters away.

Ecological restoration enhances dryland carbon stock by reducing surface soil carbon loss due to wind erosion.

Enhancing terrestrial carbon (C) stock through ecological restoration, one of the prominent approaches for natural climate solutions, is conventionally considered to be achieved through an ecological pathway, i.e., increased plant C uptake.

Assessment of groundwater quality variation characteristics and influencing factors in an intensified agricultural area: An integrated hydrochemical and machine learning approach.

The decline in groundwater quality in intensive agricultural areas in recent years, driven by environmental change and intensified human activity, poses a significant threat to agricultural production and public health, requiring attention and effective management. However, distinguishing the specific impacts of various factors on groundwater quality remains challenging, which hinders the effective management and prevention of groundwater pollution. This research integrates a hydrochemical analysis with the Entropy-weighted Water Quality Index, Self-Organizing Map (SOM) approach, and Boruta algorithm to investigate groundwater chemical variations and their influencing factors in the Sanjiang Plain, an important grain-producing region in China.