Evolution of the hydro-ecological environment and its natural and anthropogenic causes during 1985–2019 in the Nenjiang River basin

2021 ◽  
pp. 149256
Author(s):  
Fenyan Ma ◽  
Jiaqi Chen ◽  
Jiansheng Chen ◽  
Tao Wang ◽  
Liwen Han ◽  
...  
Keyword(s):  
River Basin ◽  
Ecological Environment ◽  
Nenjiang River Basin

Using MaxEnt Model to Guide Marsh Conservation in the Nenjiang River Basin, Northeast China

2019 ◽  
Vol 29 (6) ◽  
pp. 962-973 ◽  
Author(s):  
Zhiliang Wang ◽  
Bai Zhang ◽  
Xuezhen Zhang ◽  
Hongxu Tian
Keyword(s):  
River Basin ◽  
Northeast China ◽  
Maxent Model ◽  
Nenjiang River Basin

scholarly journals Forest ecological monitoring of the Shiyang River basin based on Google Earth Engine

2021 ◽  
Vol 932 (1) ◽  
pp. 012011
Author(s):  
Y Wang
Keyword(s):  
River Basin ◽  
Terrestrial Ecosystems ◽  
Google Earth ◽  
Ecological Environment ◽  
Ecological Quality ◽  
Natural Forests ◽  
Shiyang River Basin ◽  
Natural Factors ◽  
Google Earth Engine

Abstract The Shiyang River basin is a typical inland arid region and one of the most fragile and sensitive areas of terrestrial ecosystems in China, and it is important to understand its ecological changes in a timely and accurate manner. This article selects the Shiyang River basin forest as the research area and uses Google Earth Engine (GEE) to evaluate and monitor the ecological environment quality of the Shiyang River basin from 1990 to 2020. The geographical detector model (GDM) was also used to analyse the sensitivity of the forest ecological environment to three natural factors: elevation, temperature and altitude. The results showed that the ecological quality of the natural forest is significantly better than that of the man-made forest area, and the ecological quality grade is higher. The forest change area RSEI has a large annual variation in ecological quality and is vulnerable to external factors. Among the influencing natural factors, the sensitive factors of precipitation and altitude are both greater than 84%. The temperature sensitivity of natural forests is stronger than that of man-made forests, ranging from 66% to 92% overall.

scholarly journals Evaluation of Ecological Water Consumption in Yanhe River Basin Based on Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Ting Guo ◽  
Huiying Yu
Keyword(s):  
Big Data ◽  
River Basin ◽  
Water Consumption ◽  
Water Demand ◽  
Environmental Water ◽  
Big Data Analysis ◽  
Ecological Environment ◽  
Sustainable Utilization ◽  
Runoff Change ◽  
Consumption Change

Starting from the main eco-environmental problems faced by water environment, taking Yanhe River Basin as an example, this paper discusses the theoretical connotation and evaluation calculation method of eco-environmental water consumption. In order to study the eco-environmental water consumption of Yanhe River Basin, a runoff driving factor mining method based on big data analysis is established in this paper. Aiming at the problem that the statistical law and genetic law of runoff change frequently in changing environment, the mining technology method of runoff key driving factors is proposed by combining traditional methods with big data analysis. The characteristic factors that have no significant impact on runoff change are removed, the implicit characteristic factors affecting runoff change are extracted, the driving relationship of hydrological, meteorological, and vegetation characteristic factors on ecological water consumption change is identified, and the key driving factors of ecological water consumption change are extracted, which lays a data foundation for ecological water consumption prediction based on machine learning. The economic water consumption based on eco-environmental water consumption in Yanhe River Basin in the future is predicted (including water demand in three aspects of industry, agriculture, and life); that is, the prediction is to meet the economic water demand on the basis of ensuring that the water consumption of ecological environment will not be occupied, which can effectively ensure the improvement of ecological environment function in Yanhe River Basin and is conducive to the sustainable utilization of water resources in Yanhe River Basin. The research is only based on a small watershed such as Yanhe River Basin, and the purpose of the research is to provide a reference for ecological environment protection and sustainable utilization of water resources in the Loess Plateau, even in the arid, semiarid, and semihumid areas of North China.

scholarly journals On how wetlands can provide flood resilience in a large river basin: A case study in Nenjiang river Basin, China

2020 ◽  
Vol 587 ◽  
pp. 125012 ◽  
Author(s):  
Yanfeng Wu ◽  
Guangxin Zhang ◽  
Alain N. Rousseau ◽  
Y. Jun Xu ◽  
Étienne Foulon
Keyword(s):  
River Basin ◽  
Large River ◽  
Nenjiang River Basin

Evaluation of Water Resources Carrying Capacity Based on Fuzzy Comprehensive Evaluation on River Basin in Arid Zone

2010 ◽  
Vol 113-116 ◽  
pp. 488-494 ◽  
Author(s):  
Yue Jian Wang ◽  
Guang Yang ◽  
Hai Liang Xu
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Carrying Capacity ◽  
Comprehensive Evaluation ◽  
Arid Zone ◽  
Evaluation Model ◽  
Supply And Demand ◽  
Fuzzy Comprehensive Evaluation ◽  
Ecological Environment ◽  
Water Resources Carrying Capacity

The water resources carrying capacity is an important component of natural resource carrying capacity in a country or region sustained development process. It is the key being related to using the water resources reasonably, which means vital to the sustained growth of the water resources, the social economy and the ecological environment concordant development.Taking the case of river basin in arid zone of the Manasi River Basin,The author evaluated water resources supporting capacity condition basin in different year of the Manasi River by establishing fuzzy comprehensive evaluation model. The results indicated that because of saving water technological progress and industry restructure advancement, the water resources carrying capacity of Manasi River will be improved in the future twenty years. The water resources supply and demand contradictory will be obtained certain alleviation, but the uneven of water resources space and time distribution is still the main restrictive factor of the development of society and economic and the ecological environment construction.

Coordination of urbanization and water ecological environment in Shayinghe River Basin, China

2011 ◽  
Vol 21 (4) ◽  
pp. 476-495 ◽  
Author(s):  
Xiang Zhang ◽  
Hong Hu ◽  
Jiangang Xu ◽  
Haiwei Yin
Keyword(s):  
River Basin ◽  
Ecological Environment

scholarly journals VEGETATION CHANGES AND THE RELATIONSHIP WITH CLIMATE VARIABILITY IN THE UPPER AND MIDDLE REACHES OF THE NENJIANG RIVER BASIN, CHINA

2016 ◽  
Vol XLI-B8 ◽  
pp. 889-895
Author(s):  
F. Huang ◽  
D. H. Wen ◽  
P. Wang
Keyword(s):  
Relative Humidity ◽  
River Basin ◽  
Wind Velocity ◽  
Land Surface ◽  
Sunshine Duration ◽  
Meteorological Data ◽  
Vegetation Coverage ◽  
Spring Temperature ◽  
Rescaled Range ◽  
Nenjiang River Basin

To detect changes in vegetation is desirable for modeling and predicting interactions between land surface and atmosphere. Multitemporal series of SPOT VEGETATION NDVI dataset and meteorological data were integrated to interpret vegetation dynamics and the linkage with climate variations in the upper and middle reaches of the Nenjiang River Basin (NRB) from 1999 to 2010 using the correlation analysis and the rescaled range (R/S) analysis. The results demonstrate that annual NDVI increased slightly and 26.02% vegetation coverage of the study area significantly improved. The area of significantly decreased in vegetation cover took up 13.33% of the total land in spring. In autumn, 26.2% of the study area showed a significant vegetation increase. The improved activity of vegetation might reinforce in summer and autumn, while the decreasing tendency in spring might be persistent in the future. The yearly NDVI had significant positive linkages with precipitation and relative humidity. NDVI related significantly and negatively with temperature, sunshine hours and wind velocity, because they may have effects of increasing evapotranspiration and risk of drought and cold damage of vegetation. The variations of annual NDVI were much affected by summer temperature, relative humidity and sunshine duration in autumn and spring wind velocity. Seasonal NDVI decreased in parallel with elevated temperature, but there was no correlation between NDVI and precipitation. Spring temperature, relative humidity in summer and autumn contributed markedly to NDVI variations in the same season. The vegetation improving trend may induce by the warm-wetting climate in recent twelve years.

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