scholarly journals System dynamics simulation for the coordinative development of socio-economy and environment in the Weihe River Basin, China

Water Policy ◽  
2021 ◽  
Author(s):  
Yiqi Wang ◽  
Xiaohui Ding ◽  
Yanran Ma ◽  
Buqing Yan
Keyword(s):  
Economic Development ◽  
System Dynamics ◽  
River Basin ◽  
Water Environment ◽  
Dynamics Model ◽  
Collaborative Development ◽  
Demand And Supply ◽  
Socio Economic Development ◽  
Weihe River ◽  
Weihe River Basin

Abstract A reliable system simulation combining socio-economic development with water environment and comprehensively reflect a watershed's dynamic features is crucial. In this study, a complex system dynamics model is constructed to evaluate dynamic changes of socio-economic development and ecological environment of Weihe River Basin (WHR). Development trends of the population, economy, land resources, water demand and supply, water environment and water pollution and management are obtained from 2005 to 2030 through scenarios analysis representing different regional development orientations, namely, population growth (S1), economic leading (S2), resources saving (S3), environment leading (S4), collaborative development (S5). Compared with other scenarios, the total population and GDP will, respectively, reach 3,716.55 × 104 person and 40,077.30 × 108 yuan, and the gap between demand and supply and the amount of water pollution will, respectively, narrow to 0.56 × 108 and 12.26 × 108 cubic meters in collaborative development scenario (S5). The results reveal the collaborative development scenario (S5) can achieve not only steady population and economy growth, as well as narrow down the gap between water supply and demand, but also optimize watershed environment management of the WHR. Thus, the system dynamics model used in our research provides a powerful tool for assisting decision-making on issues of coordinative socio-economic development, environmental health protection, water resources conservation, etc. in a river basin area.

scholarly journals Sustainable Development Evaluation and Its Obstacle Factors of the Weihe River Basin in Shaanxi Province, China

2021 ◽  
Vol 9 ◽  
Author(s):  
Yirui Wang ◽  
Jinxi Song ◽  
Xuexian Zhang ◽  
Haotian Sun
Keyword(s):  
Sustainable Development ◽  
Social Development ◽  
River Basin ◽  
Water Environment ◽  
Indicator System ◽  
Entropy Method ◽  
Shaanxi Province ◽  
Development Level ◽  
Weihe River ◽  
Weihe River Basin

The contradiction between economic growth, social development, and water environment deterioration represent significant challenges for river basin sustainable development. By constructing an indicator system of river basin sustainable development, the entropy method is adopted to conduct a quantitative evaluation of the cities sustainable development level for the Weihe River Basin in Shaanxi Province from 2009 to 2018, and the standard deviational ellipse is used to analyze the evolution of spatial distribution pattern of sustainable development in the study area. Furthermore, the obstacle degree model is applied to analyze the main obstacle factors restricting the improvement of river basin sustainable development. The results show that the sustainable development level of the Weihe River basin in Shaanxi Province improved slowly during the study period and significant regional differences among cities. This study provides a novel approach for future evaluation on sustainable development of the Weihe River basin and even the arid region in Northwest China, to achieve a win-win situation between economic and social development and ecological environment protection.

scholarly journals Analysing the influence of human activity on runoff in the Weihe River basin

2015 ◽  
Vol 368 ◽  
pp. 269-274
Author(s):  
C. Shen ◽  
H. Qiang
Keyword(s):  
Economic Development ◽  
River Basin ◽  
Human Activity ◽  
Principal Component ◽  
Agricultural Activity ◽  
Exponential Relationship ◽  
Weihe River ◽  
Grey Relational ◽  
Weihe River Basin ◽  
The Impact

Abstract. Changing runoff patterns can have profound effects on the economic development of river basins. To assess the impact of human activity on runoff in the Weihe River basin, principal component analysis (PCA) was applied to a set of 17 widely used indicators of economic development to construct general combined indicators reflecting different types of human activity. Grey relational analysis suggested that the combined indicator associated with agricultural activity was most likely to have influenced the changes in runoff observed within the river basin during 1994–2011. Curve fitting was then performed to characterize the relationship between the general agricultural indicator and the measured runoff, revealing a reasonably high correlation (R2 = 0.393) and an exponential relationship. Finally, a sensitivity analysis was performed to assess the influence of the 17 individual indicators on the measured runoff, confirming that indicators associated with agricultural activity had profound effects whereas those associated with urbanization had relatively little impact.

scholarly journals Comprehensive evaluation of the water environment carrying capacity of a river basin: a case study of the Weihe River Basin in China

Water Policy ◽  
2021 ◽  
Author(s):  
Buqing Yan ◽  
Yiqi Wang ◽  
Guoping Li ◽  
Xiaohui Ding
Keyword(s):  
River Basin ◽  
Carrying Capacity ◽  
Comprehensive Evaluation ◽  
Local Development ◽  
Water Environment ◽  
Analytic Hierarchy ◽  
Rapid Economic Growth ◽  
Weihe River ◽  
Weihe River Basin ◽  
Basin Area

Abstract By combining the analytic hierarchy process (AHP) and system dynamics (SD) models, a compound index system is established for simulating and evaluating the water environment carrying capacity (WECC) of the Weihe River Basin. The development tendencies of the population, economy, water resource demand and supply, water environment, water pollution, and water management were obtained from 2005 to 2040 by applying the five scenarios designed in this study. The results indicate that the comprehensive solution scenario was the optimal scenario, and the WECC would upgrade from a ‘general’ status to a ‘good’ status. Moreover, the blind pursuit of rapid economic growth is inadvisable, and it will compromise the sustainability of the river basin area. The river basin area should divert local development modes toward increased sustainability, emphasizing the coordinated development of society, the economy, and the environment.

scholarly journals ỨNG DỤNG DỮ LIỆU MƯA CHIRPS VÀ MÔ HÌNH THỦY VĂN HEC-HMS MÔ PHỎNG DÒNG CHẢY LŨ Ở LƯU VỰC SÔNG LẠI GIANG

2021 ◽  
Vol 5 (1) ◽  
pp. 2252-2261
Author(s):  
Ngô Anh Tú ◽  
Phan Thái Lê ◽  
Nguyễn Hữu Xuân ◽  
Trần Văn Bình
Keyword(s):  
Economic Development ◽  
River Basin ◽  
Hydrological Model ◽  
Flow Data ◽  
Model Combination ◽  
The North ◽  
Socio Economic Development ◽  
Flood Peaks ◽  
Simulation Results ◽  
Flood Flow

Bài báo xác định lưu lượng dòng chảy theo thời đoạn dựa vào mô hình HEC-HMS, số liệu mưa từ ảnh vệ tinh CHIRPS của NASA và Hệ thống thông tin địa lý (GIS) trong mô phỏng dòng chảy lũ tháng 12 năm 2016 tại lưu vực sông Lại Giang, lưu vực lớn thứ hai của tỉnh Bình Định (sau lưu vực sông Kôn) và có vai trò quan trọng về phát triển kinh tế-xã hội ở phía Bắc của tỉnh. Kết quả mô phỏng dòng chảy lũ rất đáng tin cậy, lưu lượng dòng chảy lũ đạt đỉnh 2542,6 m3/s tương ứng với với tần suất lũ 5%. Chỉ số kiểm định mô hình NSE với giá trị là 0,93; hệ số R2 đạt 0,78 sai số PBIAS khoảng 24% và sai số đỉnh lũ PEC = 52,01.  ABSTRACT The paper aimed to introduce the application of the HEC-HMS hydrological model combination with the CHIRPS (Climate Hazards Group Infrared Precipitation with Station) and GIS to restore flood flow data in the Lai Giang river basin in 2016. The Lai Giang river basin is the second largest basin of Binh Dinh province (after the Kon river basin), it plays an important role in socio-economic development in the North of Binh Dinh province. The simulation results of flood peaks reached 2542,6 m3.s-1 (P=5%). Model test indices such as NSE = 0.93, the correlation coefficient reached 0,78; the percentage of PBIAS error was about 24%, and peak error (PEC) was 52,01.

Extreme Precipitation Dataset of Weihe River Basin (1961-2016)

GCdataPR ◽  
2021 ◽  
Author(s):  
Qi ZHOU ◽  
Haining ZHANG ◽  
Yuanxin REN
Keyword(s):  
River Basin ◽  
Extreme Precipitation ◽  
Weihe River ◽  
Weihe River Basin

Elevation Cluster Dataset Covering the Weihe River Basin

GCdataPR ◽  
2020 ◽  
Author(s):  
Fengli ZHA ◽  
Chuang LIU ◽  
Ruixiang SHI
Keyword(s):  
River Basin ◽  
Weihe River ◽  
Weihe River Basin
Sign in / Sign up

Export Citation Format

Share Document