# Measuring the Performance of Wastewater Treatment in China
## 4 Conclusions and Recommendations  
Water pollution affects people's livelihood around the world. China is a developing country with increasing urbanization and industrialization. As such, the quantity of its discharged wastewater continuously rose over the years 2011-2015, which span the 12 th Five-Year Plan. As pollution accidents have taken place in recent years, it is becoming more urgent to study and improve the problem of discharged wastewater. Thus, the government should offer a sustainable development policy for the benefits of its community citizens.  
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline  & \multicolumn{2}{c}{**2011**} & \multicolumn{2}{c}{**2012**} & \multicolumn{2}{c}{**2013**} & \multicolumn{2}{c}{**2014**} & \multicolumn{2}{c}{**2015**} \\ \cline{2-10}  & **Rank** & **Score** & **Rank** & **Score** & **Rank** & **Score** & **Rank** & **Score** & **Rank** & **Score** \\ \hline Beijing & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 \\ Tianjin & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 \\ Shanghai & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 \\ Jiangsu & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 \\ Shandong & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 \\ Guangdong & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 \\ Tibet & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 \\ Inner Mongolia & 1 & 1 & 1 & 1 & 1 & 1 & 10 & 0.990 & 10 & 0.977 \\ Ningxia & 1 & 1 & 1 & 1 & 20 & 0.797 & 1 & 1 & 1 & 1 \\ Zhejiang & 1 & 1 & 11 & 0.955 & 9 & 0.991 & 11 & 0.936 & 13 & 0.924 \\ Hainan & 1 & 1 & 22 & 0.777 & 22 & 0.753 & 23 & 0.766 & 12 & 0.93 \\ Henan & 12 & 0.996 & 16 & 0.849 & 13 & 0.859 & 15 & 0.832 & 18 & 0.835 \\ Xinjiang & 13 & 0.963 & 26 & 0.732 & 28 & 0.709 & 26 & 0.714 & 24 & 0.732 \\ Liaoning & 14 & 0.932 & 12 & 0.945 & 10 & 0.959 & 1 & 1 & 1 & 1 \\ Hebei & 15 & 0.896 & 15 & 0.868 & 11 & 0.901 & 13 & 0.871 & 15 & 0.896 \\ Shanxi & 16 & 0.87 & 21 & 0.785 & 25 & 0.742 & 27 & 0.709 & 29 & 0.688 \\ Shaanxi & 17 & 0.856 & 14 & 0.885 & 12 & 0.896 & 12 & 0.882 & 21 & 0.817 \\ Sichuan & 18 & 0.841 & 13 & 0.899 & 14 & 0.858 & 19 & 0.814 & 20 & 0.821 \\ Human & 19 & 0.821 & 19 & 0.811 & 18 & 0.805 & 18 & 0.815 & 19 & 0.827 \\ Heilongjiang & 20 & 0.817 & 23 & 0.770 & 21 & 0.778 & 21 & 0.799 & 23 & 0.784 \\ Jilin & 21 & 0.811 & 20 & 0.811 & 15 & 0.837 & 17 & 0.816 & 22 & 0.793 \\ Hubei & 22 & 0.804 & 18 & 0.813 & 17 & 0.812 & 16 & 0.831 & 17 & 0.840 \\ Guizhou & 23 & 0.803 & 27 & 0.722 & 26 & 0.722 & 28 & 0.693 & 27 & 0.716 \\ Qinghai & 24 & 0.791 & 28 & 0.713 & 19 & 0.797 & 20 & 0.801 & 14 & 0.916 \\ Gansu & 25 & 0.777 & 25 & 0.760 & 24 & 0.743 & 24 & 0.745 & 25 & 0.728 \\ Fujian & 26 & 0.764 & 17 & 0.816 & 16 & 0.825 & 14 & 0.834 & 16 & 0.853 \\ Chongqing & 27 & 0.749 & 24 & 0.763 & 23 & 0.747 & 22 & 0.780 & 11 & 0.935 \\ Anhui & 28 & 0.718 & 28 & 0.713 & 27 & 0.715 & 25 & 0.724 & 26 & 0.722 \\ Yunnan & 29 & 0.691 & 29 & 0.676 & 29 & 0.682 & 29 & 0.690 & 28 & 0.700 \\ Guangxi & 30 & 0.677 & 31 & 0.615 & 31 & 0.657 & 31 & 0.661 & 30 & 0.670 \\ Jiangxi & 31 & 0.656 & 30 & 0.657 & 30 & 0.662 & 30 & 0.68 & 31 & 0.661 \\ \hline \hline \end{tabular}
\end{table}
Table 5: Rank of 31 regions in China from 2011 to 2015.