Analysis of the Effects of Local Regulations on the Preservation of Water Resources Using the CA-Markov Model

Sustainability

卷:13

Chul-Min Song¹ 

[1] Department of Policy for Watershed Management, The Policy Council for Paldang Watershed, Yangpyeong 12585, Korea;

关键词: LULC;    CA-Markov;    regulation effect;    potential matrix;    neural network;    pollutant load;   

DOI  :  10.3390/su13105652

来源: DOAJ

【 摘 要 】

The analysis of the local regulation effects is required for sustainable and effective land utilization because land use/land cover (LULC) changes are not only determined by human activity but are also affected by national policy and regulation; however, previous studies for land use/land cover (LULC) have mainly been conducted on the LULC changes using past experience. This study, therefore, analyzed the effects of local regulations aimed at preserving the water quality in South Korea. To this end, changes in LULC were simulated using the CA-Markov model under conditions in which two local regulations, the special countermeasure area (SCA) and total maximum daily load (TMDL), were not applied and examined the differences between the simulated LULC and the actual LULC as of 2018. In addition, the differences in the generation of pollutant loads were driven for Biochemical Oxygen Demand (BOD), Total Nitrogen (TN), and Total Phosphorus (TP) using pollutant unit-load. As a result, without SCA, the agricultural area increased by 379.0 km², the urban area decreased by 101.8 km², and the meadow area decreased by 176.0 km². In addition, without TMDL, the urban area increased by 169.2 km² and the meadow area decreased to 158.8 km².Differences in BOD, TN, and TP pollution loads without SCA applications were shown to decrease to 22,710.5 kg·km⁻² day⁻¹, 1133.9 kg·km⁻² day⁻¹, and 429.8 kg·km⁻² day⁻¹, respectively, while BOD, TN, and TP pollution loads without TMDL applications decreased to 14,435.7 kg·km⁻² day⁻¹, 2543.6 kg·km⁻² day⁻¹, and 368.2 kg·km⁻² day⁻¹, respectively. As such, this study presents a methodology for analyzing the effects of local regulations using the CA-Markov model, which can intuitively and efficiently examine the effects of regulations by predicting LULC changes.

【 授权许可】

Unknown