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.

An Analysis of Water Consumption and Pollution with the Input-Output Model in the Haihe River Basin, China

2013 ◽  
Vol 864-867 ◽  
pp. 1059-1069 ◽  
Author(s):  
Chang Bo Qin ◽  
Yang Wen Jia ◽  
Z. Su ◽  
Hans T.A. Bressers ◽  
Hao Wang
Keyword(s):  
River Basin ◽  
Water Consumption ◽  
Indirect Effects ◽  
Water Demand ◽  
Haihe River Basin ◽  
Wastewater Discharge ◽  
Input Output ◽  
Economic Sectors ◽  
Haihe River ◽  
The Haihe River Basin

It is widely believed that the economic success in China is achieved at the expense of natural resources and has resulted in severe pollution of the environment, especially water resources. This study applies a hybrid input-output (IO) model linking economic and ecological systems in order to analyze water consumption and wastewater discharge in the Haihe River Basin. Within the environmental IO framework, a series of assessment indicators is calculated to assist in tracking both direct and indirect effects of freshwater consumption and wastewater discharge in the economic sector, as well as to distinguish the economic sectors that have greatest influence on water demand and pollution. Assessment results indicate that water consumption and pollution can be reduced by readjusting the structure of production, consumption and trade in the Haihe River Basin. It is concluded that in order to achieve sustainable development in the Haihe River Basin with its very poor water endowment, not only the direct but also the indirect effects on water demand and pollution should be considered when production, consumption and trade policies are formulated.

scholarly journals Analysis on the influence of runoff trend in the Liusha River Basin of Xishuangbanna

2021 ◽  
Vol 228 ◽  
pp. 02010
Author(s):  
Zhen Ling ◽  
Shan Xu ◽  
Minghua Dong ◽  
Guojian Feng ◽  
Hong Huo ◽  
...  
Keyword(s):  
Water Resources ◽  
River Basin ◽  
River Runoff ◽  
Large Scale ◽  
Water Security ◽  
Comparison Method ◽  
Ecological Environment ◽  
Rubber Plantation ◽  
Natural Forests ◽  
Runoff Change

In recent decades, there are lots of the changes of land use in the Liusha River basin in Xishuangbanna, Yunnan Province. The large-scale replacement of natural forests by rubber plantation have had a certain impact on the ecological environment and water resources in the Liusha River basin. Based on the data of runoff, rainfall and evaporation from 1963 to 2015 measured by Menghai Hydrological Station of Liusha River, the effects of climate change and human activities on the ecological environment of Liusha River runoff and the degree of change were analyzed by using the comparison method of slope change rate of runoff accumulation. The research results show that the cumulative amount of runoff flow after mutation presents significant decrease trend from 1963 to 2015. Because of the Liusha river runoff change decision which residents downstream watershed water security, the runoff of the ecological environment situation and analysis, the protection of natural resources such as forests and the effective protection of regional water resources sustainable development has important guiding significance.

scholarly journals Optimal water resource allocation based on stability – considering the correlation between water consumption and output value in different industries

2020 ◽  
Vol 20 (7) ◽  
pp. 2499-2513
Author(s):  
Liming Yao ◽  
Lu Zhao ◽  
Li Pan ◽  
Xudong Chen
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Water Consumption ◽  
Water Demand ◽  
Water Allocation ◽  
Sustainable Use ◽  
Flow Distribution ◽  
Distribution Model ◽  
Allocation Model ◽  
Industrial Sectors

Abstract When multiple industries share a river, they compete for available water resources. In order to settle conflicts and ensure industrial stability, it is important for river basin managers to develop a water allocation plan. In addition, there is a correlation between water demand and output in different industries, which affects water allocation plans. From the perspective of river basin government, this paper constructs a flow distribution model among the three major industries of industry, agriculture, and service. River basin government allocates water resources to the stability of the three major industries. The water consumption of various industrial sectors is centered on their own vital interests. Different industries have different characteristics and restrictions on water consumption. The study also considers transactions in different industries on the water market, using dynamic programming methods to simulate this water allocation. This allocation model is different from the traditional industrial water allocation model, and considers the correlation between the water demand and output value of different industries. The results show that a reasonable understanding of the interrelationships between industries will be more helpful to decision makers and a fundamental guarantee for sustainable use of water resources.

Reservoir operation and environmental water demand: Scenarios for the Sub-Middle and Lower São Francisco River basin, Brazil

Ecohydrology ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. e2026 ◽  
Author(s):  
Hagen Koch ◽  
Florian Selge ◽  
José Roberto G. de Azevedo ◽  
Gerald N. Souza da Silva ◽  
Marianna Siegmund-Schultze ◽  
...  
Keyword(s):  
River Basin ◽  
Water Demand ◽  
Reservoir Operation ◽  
Environmental Water ◽  
Sao Francisco River ◽  
São Francisco River ◽  
Environmental Water Demand

Insights into seismic hazard from big data analysis of ground motion simulations

2019 ◽  
Vol 9 (1) ◽  
pp. 01-12 ◽  
Author(s):  
Kristy F. Tiampo ◽  
Javad Kazemian ◽  
Hadi Ghofrani ◽  
Yelena Kropivnitskaya ◽  
Gero Michel
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Seismic Hazard ◽  
Ground Motion ◽  
Big Data Analysis ◽  
Ground Motion Simulations
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